Page 1 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a promotional poster for Shinhan Securities, a financial services company. The background is a deep blue color, which gives a professional and modern feel to the image. At the top left corner, there is a logo of Shinhan Securities, and at the top right corner, there is a logo of Shinhan Securities.

The main text in the image is in Vietnamese and reads: "Ngành Bán lẻ Bút pha lối nhanh" which translates to "Retail Industry: Fast Lane" in English. This suggests that Shinhan Securities is targeting the retail industry, particularly focusing on providing fast and efficient services.

In the center of the image, there is a circular graphic with a shopping cart icon and various icons representing different services or features. These icons include a globe, a megaphone, a speaker, a house, a file, a document, a laptop, a play button, and a house. These icons represent different services or features that Shinhan Securities offers, such as global services, communication, financial analysis, real estate, document management, and online trading.

At the bottom of the image, there is a name and contact information for Phúc Nguyễn, who is likely the representative or a key contact person for Shinhan Securities. The contact information includes a phone number (84-28 6299-8025) and an email address (phuc.nlh@shinhan.com).

Overall, the image is designed to convey the company's focus on providing fast and efficient services in the retail industry, with a modern and professional look.
- Text Content: [IMAGE ANALYSIS]
The image is a cover page for a presentation or document titled "Ngành Bán lẻ Bút pha lối nhanh" (Retail Industry: Fast Lane). The background is a solid blue color, and the text is in white, making it highly readable. The title is prominently displayed in the center of the image, with the word "Bán lẻ" (Retail) in bold and larger font size compared to the other words.

To the right of the title, there is a circular icon with a shopping cart inside it, surrounded by various icons representing different business and technology-related elements. These icons include:

1. A globe (representing global business)
2. A megaphone (representing communication)
3. A speaker (representing audio)
4. A house (representing home or office)
5. A file (representing documents)
6. A document (representing documents)
7. A play button (representing multimedia)
8. A house (representing home or office)
9. A file (representing documents)
10. A play button (representing multimedia)

Below the title, there is a name "Phúc Nguyễn" with contact information including a phone number (84-28 6299-8025) and an email address (phuc.nlh@shinhan.com).

At the top right corner of the image, there is a logo with the text "Shinhan Securities" and a blue background with a white logo.

The overall layout is clean and professional, with a focus on the retail industry and the fast lane concept.


Page 3 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a slide from a presentation, likely related to the Vietnam Investment Outlook for 2025. The slide is titled "Cập nhật ngành bán lẻ Thế giới" which translates to "World Retail Sector Update." The slide is divided into two main sections:

1. **Section 1: World Retail Sector Update**
   - **Title:** Cập nhật ngành bán lẻ Thế giới
   - **Text:** Tăng trưởng của ngành bán lẻ đang đồng loạt vào sự phục hồi chung của nền kinh tế sau một thời gian dài bị ảnh hưởng bởi dịch COVID-19. Năm 2024, doanh thu thị trường bán lẻ toàn cầu đạt 31.1 nghìn tỷ USD, tăng 5.4% so với cùng kỳ năm 2023. Dự báo giai đoạn 2024-2027, tốc độ tăng trưởng duy trì ổn định quanh mức 4%.

   - **Translation:** Growth of the retail sector is currently increasing, following the recovery of the global economy after a long period of impact from the COVID-19 pandemic. In 2024, global retail market revenue is expected to reach 31.1 trillion USD, increasing by 5.4% compared to the same period in 2023. For the 2024-2027 period, the growth rate is expected to remain stable around 4%.

2. **Section 2: Visual Elements**
   - **Title:** Vietnam Investment Outlook 2025
   - **Text:** The slide includes a logo for Shinhan Securities, a well-known financial institution in South Korea, and the text "Vietnam Investment Outlook 2025" at the bottom right corner.

The slide provides an update on the retail sector's growth and projected revenue, highlighting the recovery from the COVID-19 pandemic and the expected stable growth rate of 4% for the 2024-2027 period. The Shinhan Securities logo suggests that the presentation is likely part of a broader financial or investment strategy document.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document titled "Vietnam Investment Outlook 2025." The layout is as follows:

### Header:
- **Title:** "Cập nhật ngành bán lẻ Thế giới"
- **Subtitle:** "Tăng trưởng của ngành bán lẻ đồng góp rất lớn vào sự phát triển của nền kinh tế sau một sự kiện lớn xảy ra."

### Main Content:
- **Text in Vietnamese:**
  - "Tăng trưởng của ngành bán lẻ đồng góp rất lớn vào sự phát triển của nền kinh tế sau một sự kiện lớn xảy ra."
  - "Năm 2024, doanh thu thị trường bán lẻ toàn cầu đạt 31.1 nghìn tỷ USD, tăng 5.4% so với cùng kỳ năm 2023. Dự báo giai đoạn 2024-2027, tốc độ tăng trưởng duy trì ổn định quanh mức 4%."

### Footer:
- **Logo:** Shinhan Securities
- **Page Number:** 3

### Additional Elements:
- **Background:** The background is a solid blue color.
- **Circles:** There are two blue circles at the bottom of the page, one larger and one smaller, with a white outline.

### Analysis:
The document appears to be a report or analysis of the Vietnam investment market, specifically focusing on the retail sector. The text mentions significant growth in retail sales, with a projected increase of 5.4% from 2023 to 2024. The document also forecasts a stable growth rate of 4% for the period 2024-2027. The Shinhan Securities logo is visible in the top right corner, indicating the source of the report.


Page 4 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a slide from a presentation titled "Vietnam Investment Outlook 2025," which appears to be a financial or economic analysis of the Vietnamese market. The slide is divided into two main sections:

### Left Section: Total Revenue and Growth

#### Title: Tổng Doanh thu bán lẻ Toàn cầu và dự phòng (ngính ty USD)

- **Graph**: A bar chart showing the total revenue in USD from 2019 to 2027.
- **Data Points**:
  - 2019: 24.7 USD
  - 2020: -2.9 USD
  - 2021: 23.7 USD
  - 2022: 26.5 USD
  - 2023: 28.3 USD
  - 2024: 29.5 USD
  - 2025F: 31.1 USD
  - 2026F: 32.4 USD
  - 2027F: 33.9 USD

- **Growth Rate (CAGR)**: 4.6%

#### Description:
- The total revenue has shown a gradual increase from 2019 to 2027, with a CAGR of 4.6%.
- The revenue in 2020 shows a significant drop, likely due to the impact of the COVID-19 pandemic.
- The revenue in 2021 and 2022 shows a recovery, with slight fluctuations.
- The revenue in 2023 and 2024 shows a slight increase, with a slight dip in 2025.
- The revenue in 2026 and 2027 shows a slight increase, with a slight dip in 2027.

### Right Section: Revenue Growth and Profit Margin

#### Title: Biến động doanh thu bán lẻ thực tế và mức chi tiêu thực tế (% QoQ)

- **Graph**: A line graph showing the revenue growth and profit margin from 2019 to 2024.
- **Data Points**:
  - 2019: 24.7 USD
  - 2020: 24.7 USD
  - 2021: 24.7 USD
  - 2022: 24.7 USD
  - 2023: 24.7 USD
  - 2024: 24.7 USD
  - 2025F: 24.7 USD
  - 2026F: 24.7 USD
  - 2027F: 24.7 USD

- **Profit Margin**: 4.6%

#### Description:
- The revenue growth has been steady from 2019 to 2024, with a slight fluctuation.
- The profit margin has remained consistent at around 4.6%.
- The revenue in 2025F shows a slight increase, while the revenue in 2026F and 2027F shows a slight decrease.

### Additional Information:
- The slide also includes a note from Insider Intelligence, eMarketer, Statista, and Shinhan Securities Vietnam.
- The slide is from Shinhan Securities Vietnam.
- The slide is part of the Vietnam Investment Outlook 2025.

### Analysis:
- The revenue growth has been steady, with a slight fluctuation, indicating a stable economic environment.
- The profit margin has remained consistent, suggesting a stable business model.
- The data from Shinhan Securities Vietnam provides a comprehensive view of the Vietnamese market, highlighting the growth and stability of the economy.

This slide provides valuable insights into the economic outlook of Vietnam, highlighting the steady growth and stable business environment.
- Text Content: [IMAGE ANALYSIS]
The image is a slide from a presentation, likely related to economic or financial analysis, titled "1. Cập nhật ngành bán lẻ thế giới." The slide is divided into two main sections: a bar chart and a line graph.

### Bar Chart
The bar chart on the left side of the slide shows the total revenue of the retail sector in USD for the years 2019 to 2027. The x-axis represents the years, and the y-axis represents the revenue in USD. The revenue is represented by vertical bars, with each bar corresponding to a specific year. The revenue is shown in descending order from left to right.

### Line Graph
The line graph on the right side of the slide shows the revenue growth rate (CAGR) for the same period. The x-axis represents the years, and the y-axis represents the revenue growth rate in percentage terms. The line graph is divided into two sections: one for the revenue growth rate and another for the revenue growth rate in terms of percentage.

### Text and Notes
Below the graphs, there is a block of text in Vietnamese. The text provides additional context and analysis related to the retail sector. The text mentions various economic indicators, such as inflation, unemployment, and economic growth, and discusses the impact of these factors on the retail sector. It also mentions specific economic indicators for the years 2021 and 2022.

### Footer
At the bottom of the slide, there is a footer with the logo of Shinhan Securities and the title "Vietnam Investment Outlook 2025."

### Analysis
The bar chart shows a general trend of increasing revenue from 2019 to 2027, with the highest revenue in 2027. The line graph shows a CAGR of 4.1% for the revenue growth rate, indicating a moderate growth rate over the years.

### Relevant Knowledge
The retail sector is a crucial component of the economy, and its performance can significantly impact overall economic growth. The CAGR of 4.1% suggests a relatively stable growth rate, which is generally considered favorable for businesses in the retail sector. However, the text notes that there are specific economic indicators that could impact the sector, such as inflation and unemployment, which could affect consumer spending and business operations.

### Conclusion
The slide provides a comprehensive overview of the retail sector's performance over the past few years, with a focus on revenue growth and economic indicators. The CAGR of 4.1% indicates a moderate growth rate, but the text highlights the potential impact of specific economic indicators on the sector.


Page 5 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a slide from a presentation titled "Vietnam Investment Outlook 2025," which is likely part of a larger report or analysis on the Vietnamese economy. The slide is divided into two main sections, each depicting different aspects of the Vietnamese economy.

### Left Section: Offline Sales Revenue
- **Title**: Doanh thu toàn cầu kinh doanh bán lẻ offline (ngính tỷ USD)
- **Graph**:
  - **X-Axis**: Years (2020-2027F)
  - **Y-Axis**: Revenue (ngính tỷ USD)
  - **Bars**: Bars represent revenue in USD, with a trend line showing the growth rate (CAGR = 3.0%)
  - **Trend Line**: The trend line shows a gradual increase in revenue over the years.

### Right Section: Online Sales Revenue
- **Title**: Doanh thu toàn cầu kinh doanh bán lẻ online (ngính tỷ USD)
- **Graph**:
  - **X-Axis**: Years (2020-2027F)
  - **Y-Axis**: Revenue (ngính tỷ USD)
  - **Bars**: Bars represent revenue in USD, with a trend line showing the growth rate (CAGR = 8.1%)
  - **Trend Line**: The trend line shows a significant increase in revenue, particularly after the impact of COVID-19, with a sharp decline in 2020 and 2021.

### Additional Information
- **Notes**:
  - **Doanh thu mô hình cửa hàng bán lẻ Việt Nam 2024**: Revenue forecast for 2024 is 25.2 billion USD, with a YoY growth of 4.1%.
  - **Tăng trưởng kinh doanh bán lẻ online**: The growth rate for online sales is 8.1% per annum.
  - **Bên cạnh đó, thương mại điện tử (TMĐT) cũng đang ngày càng phổ biến trên toàn cầu. Kinh doanh bán lẻ TMĐT (B2C) có sự tăng trưởng mạnh mẽ sau khi dịch Covid-19. Tuy nhiên, trong thời gian dịch Covid-19, doanh thu bán lẻ toàn cầu giảm mạnh, từ 20-23% xuống dưới 10% trong thời gian từ 2020 đến 2021.**

### Analysis
- **Online Sales Growth**: The online sales revenue is projected to grow significantly, with a CAGR of 8.1% per annum, indicating a strong growth trend.
- **Impact of COVID-19**: The impact of COVID-19 on online sales was significant, with a sharp decline in 2020 and 2021, but a recovery in 2022 and 2023.
- **Economic Outlook**: The overall economic outlook for Vietnam is positive, with a projected growth rate of 8.1% per annum for online sales.

### Conclusion
This slide provides a detailed analysis of the Vietnamese economy's online and offline sales trends, highlighting the significant growth potential for online sales and the impact of COVID-19 on the industry. The positive economic outlook for Vietnam suggests a strong future for both online and offline sales in the country.
- Text Content: [IMAGE ANALYSIS]
The image is a slide from a presentation, likely related to economic or financial analysis, specifically focusing on the Vietnam Investment Outlook for 2025. The slide is divided into two main sections, each with a bar chart and a line graph, and is titled "1. Cập nhật ngành bán lẻ thế giới."

### Left Section:
- **Title**: Doanh thu toàn cầu kinh doanh bán lẻ offline (ngính tỷ USD)
- **Data Representation**:
  - **Bar Chart**: Shows the revenue from offline retail sales in USD for the years 2020 to 2027F (forecasted figures).
  - **Line Graph**: Shows the growth rate (YoY) of revenue from offline retail sales.
  - **CAGR (Compound Annual Growth Rate)**: 3.0%

### Right Section:
- **Title**: Doanh thu toàn cầu kinh doanh bán lẻ online (ngính tỷ USD)
- **Data Representation**:
  - **Bar Chart**: Shows the revenue from online retail sales in USD for the years 2020 to 2027F.
  - **Line Graph**: Shows the growth rate (YoY) of revenue from online retail sales.
  - **CAGR (Compound Annual Growth Rate)**: 8.1%

### Additional Information:
- **Source**: Insider Intelligence, eMarketer (2024), Shinhan Securities Vietnam
- **Notes**:
  - **Offline Retail Sales**:
    - Revenue forecasted to reach 25.2 billion USD in 2024, with a YoY growth rate of 4.1%.
    - CAGR (Compound Annual Growth Rate) forecasted to be 3% from 2023 to 2027.
  - **Online Retail Sales**:
    - Revenue forecasted to reach 4.3 billion USD in 2020, with a YoY growth rate of 16.8%.
    - CAGR (Compound Annual Growth Rate) forecasted to be 8.1% from 2020 to 2027.

### Analysis:
The slide provides a detailed analysis of the revenue trends for both offline and online retail sales in Vietnam for the years 2020 to 2027F. The offline retail sales are expected to grow at a moderate rate of 3.0% annually, while the online retail sales are forecasted to grow at a faster rate of 8.1% annually. This indicates a significant shift towards online shopping in Vietnam, which is likely due to the COVID-19 pandemic and the increasing adoption of digital platforms.

### Conclusion:
The slide provides valuable insights into the economic trends in Vietnam's retail sector, specifically focusing on the growth rates and revenue forecasts for offline and online retail sales. This information can be used by investors, policymakers, and businesses to make informed decisions about market trends and potential investments.


Page 7 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a slide from a presentation titled "2. Thị trường ngành bán lẻ Việt Nam" which translates to "2. Vietnam's Retail Market". The slide is divided into two main sections: a bar chart and a pie chart.

### Bar Chart
The bar chart shows the sales and growth of retail sales in Vietnam from 2017 to 2024. The x-axis represents the years, and the y-axis represents the sales in billion dong. The data is presented in a bar chart format, with each bar representing a specific year. The chart includes a red dashed line that highlights the impact of the COVID-19 pandemic on sales, specifically the drop in sales in 2020.

### Pie Chart
The pie chart represents the distribution of sales in different categories. The categories are:
- Bán lẻ hàng hóa và dịch vụ (Retail goods and services)
- Dịch vụ lưu trữ, ăn uống (Retail services, food and beverages)
- Dịch vụ khách hàng (Customer services)
- Dịch vụ khác (Other services)

The pie chart is divided into four segments, each representing a different category. The largest segment is "Bán lẻ hàng hóa và dịch vụ" (Retail goods and services), which accounts for 77% of the total sales. The other segments are:
- Dịch vụ lưu trữ, ăn uống (11.5%)
- Dịch vụ khách hàng (10.5%)
- Dịch vụ khác (10.5%)

### Text Description
The slide includes a paragraph of text that provides additional context about the retail market in Vietnam. It mentions that the retail market is one of the key sectors in Vietnam, with a projected total of 265 billion USD in 2024, accounting for 60% of GDP. The slide also highlights the impact of the COVID-19 pandemic on sales, with a significant drop in 2020.

### Conclusion
The slide provides a comprehensive overview of the retail market in Vietnam, highlighting the growth and impact of the pandemic on sales. The pie chart shows that retail services, food and beverages, and customer services are the most significant segments, with the largest share of the market. The slide is likely part of a larger presentation on Vietnam's investment outlook for 2025, as indicated by the footer.
- Text Content: [IMAGE ANALYSIS]
The image is a slide from a presentation titled "2. Thị trường ngành bán lẻ Việt Nam" which translates to "2. Vietnam Retail Market". The slide is divided into two main sections: a bar graph and a pie chart.

### Bar Graph
The bar graph shows the sales and growth of retail sales in Vietnam from 2017 to 2024. The x-axis represents the years, and the y-axis represents the sales in billion dong. The data is presented in a bar chart with the following data points:
- 2017: 3,934 billion dong
- 2018: 4,396 billion dong
- 2019: 4,940 billion dong
- 2020: 2,440 billion dong
- 2021: 10,888 billion dong
- 2022: 18,999 billion dong
- 2023: 5,876 billion dong
- 2024: 6,391 billion dong

### Pie Chart
The pie chart shows the distribution of sales in Vietnam across different categories:
- 77.0% - Bán lẻ hàng hóa
- 11.5% - Dịch vụ lưu trữ, ăn uống
- 10.5% - Dịch vụ khách hàng
- 1.0% - Bán lẻ không rõ nguồn gốc

### Text Description
The slide includes a paragraph of text that provides additional context and information about the retail market in Vietnam:
- Bán lẻ là một trong những ngành quan trọng của Việt Nam; có quy mô thị trường khoảng ~265 tỷ USD (6,391 nghìn tỷ đồng) năm 2024; kỳ vọng đạt 300 tỷ USD vào năm 2025 – đóng góp 60% GDP của nước.
- Bán lẻ hàng hóa và dịch vụ ở Việt Nam gồm 4 mảng: (i) Bán lẻ hàng hóa; (ii) Dịch vụ lưu trữ, ăn uống; (iii) Dịch vụ khách hàng; (iv) Dịch vụ khác.
- Trong đó, nhóm “Bán lẻ hàng hóa” luôn đóng góp lớn trong doanh thu toàn ngành bán lẻ.
- Năm 2024, dù nền kinh tế trong nước và thế giới có nhiều biến động nhưng tăng trưởng của ngành bán lẻ vẫn được dự đoán sẽ duy trì ổn định so với năm 2023, tăng trưởng 9% YoY.

### Analysis
The slide provides a comprehensive overview of the retail market in Vietnam, highlighting the growth and distribution of sales across different categories. The bar graph shows a significant increase in sales from 2017 to 2024, with the highest sales in 2021 and the lowest in 2020. The pie chart indicates that the largest share of sales is attributed to the category of "Bán lẻ hàng hóa" (retail sales), followed by "Dịch vụ lưu trữ, ăn uống" (storage and food services), "Dịch vụ khách hàng" (customer services), and "Dịch vụ khác" (other services). The text also mentions that despite some fluctuations in the economy and global market, the retail sector is expected to maintain a stable growth rate of 9% YoY.

### Conclusion
This slide provides valuable insights into the retail market in Vietnam, highlighting the growth trends, distribution of sales, and the expected future growth. The data and analysis presented are crucial for understanding the retail sector's performance and potential for growth in the coming years.


Page 8 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a slide from a presentation titled "Vietnam Investment Outlook 2025," which is likely part of a larger report or analysis on the Vietnamese economy. The slide focuses on the growth of the construction sector in Vietnam, specifically the growth rate of construction projects over time.

### Key Points on the Slide:

1. **Title and Subtitle:**
   - The title is "2. Thị trường ngành bán lẻ Việt Nam," which translates to "2. The retail sector market in Vietnam."
   - The subtitle is "Cập nhật nhất định bán lẻ hàng hóa," which translates to "Latest update on retail goods."

2. **Graph:**
   - The graph shows the growth rate of construction projects in Vietnam over a period of 5 years.
   - The x-axis represents the years from T12-20 to T12-24.
   - The y-axis represents the percentage of growth in construction projects, ranging from -30% to 50%.

3. **Bars and Labels:**
   - The bars represent the growth rate of construction projects for each year.
   - The growth rates are color-coded:
     - Blue bars represent positive growth rates.
     - Orange bars represent negative growth rates.
   - The growth rates are labeled with the corresponding years.

4. **Highlighted Section:**
   - A red box highlights the period from T2-21 to T4-21.
   - The growth rate for this period is shown as (5.1)%, indicating a positive growth rate.

5. **Text Description:**
   - The text below the graph provides additional context:
     - "Sau giai đoạn hồi phục do ảnh hưởng từ dịch COVID-19, nhiều hộ trọ kip thời từ các chính sách kích cầu của Nhà nước đã giúp ngành bán lẻ hàng hóa và tiếp tục duy trì ổn định."
     - This translates to "After the recovery phase due to the impact of the COVID-19 pandemic, many rental houses have been able to support the retail sector and continue to maintain stability."
     - "Tốc độ tăng trưởng của ngành bán lẻ có dấu hiệu tích cực trong năm 2022 và duy trì ổn định trong năm 2023 và 2024. Tuy nhiên, tình hình kinh tế tiếp tục gặp khó khăn, do ảnh hưởng của xu hướng tiêu dùng, như 'Bán lẻ hàng hóa' và duy trì tăng trưởng ổn định từ năm 2023 đến nay. Doanh thu hàng mang 'Bán lẻ hàng hóa' vẫn duy trì tăng trưởng ở mức trên 8% YoY trong năm 2024, cho thấy mức độ bền vững của ngành bán lẻ Việt Nam."

### Analysis:
- The graph shows that the construction sector in Vietnam has experienced a positive growth rate in the past 5 years, with the highest growth rate of 43.6% in T2-22.
- The negative growth rate is observed in T2-21 and T4-21, with the lowest growth rate of 5.1% in T2-21.
- The highlighted section from T2-21 to T4-21 indicates a period of positive growth, which could be attributed to the impact of the COVID-19 pandemic and subsequent recovery measures.

### Conclusion:
This slide provides a detailed overview of the growth trends in the retail sector in Vietnam, highlighting both periods of growth and decline. The positive growth rate in the highlighted period suggests that the sector is experiencing a recovery phase, which could be attributed to the impact of the pandemic and subsequent economic stimulus measures.
- Text Content: [IMAGE ANALYSIS]
The image is a slide from a presentation titled "2. Thị trường ngành bán lẻ Việt Nam" which translates to "2. Vietnam Retail Market". The slide is divided into two main sections: a bar chart and a text description.

### Bar Chart:
The bar chart shows the growth in sales for various periods from T12-20 to T12-24. The x-axis represents the years, and the y-axis represents the percentage growth in sales. The bars are color-coded and have a legend at the bottom left corner.

#### Key Points:
1. **T12-20**: The growth is positive, with a small increase of 13.5%.
2. **T2-21**: There is a significant increase of 7.0%.
3. **T4-21**: The growth is negative, with a decrease of 5.1%.
4. **T6-21**: The growth is positive, with a small increase of 21.0%.
5. **T8-21**: The growth is negative, with a decrease of 23.5%.
6. **T10-21**: The growth is positive, with a small increase of 13.3%.
7. **T12-21**: The growth is negative, with a decrease of 8.4%.
8. **T4-22**: The growth is positive, with a small increase of 8.1%.
9. **T6-22**: The growth is positive, with a small increase of 8.4%.
10. **T8-22**: The growth is positive, with a small increase of 8.1%.
11. **T10-22**: The growth is positive, with a small increase of 8.1%.
12. **T12-22**: The growth is positive, with a small increase of 8.1%.
13. **T4-23**: The growth is positive, with a small increase of 8.1%.
14. **T6-23**: The growth is positive, with a small increase of 8.1%.
15. **T8-23**: The growth is positive, with a small increase of 8.1%.
16. **T10-23**: The growth is positive, with a small increase of 8.1%.
17. **T12-23**: The growth is positive, with a small increase of 8.1%.
18. **T4-24**: The growth is positive, with a small increase of 8.1%.
19. **T6-24**: The growth is positive, with a small increase of 8.1%.
20. **T8-24**: The growth is positive, with a small increase of 8.1%.
21. **T10-24**: The growth is positive, with a small increase of 8.1%.
22. **T12-24**: The growth is positive, with a small increase of 8.1%.

### Text Description:
The text below the bar chart provides additional context:
1. **After the impact of the COVID-19 pandemic, various sectors of the Vietnamese economy have been able to recover and start to grow again.**
2. **The growth of the retail market is expected to increase in 2022 and continue to grow in 2023 and 2024.**
3. **The growth of the retail market is expected to be driven by various factors, including the expansion of e-commerce, the increase in consumer spending, and the growth of online shopping.**
4. **The retail market is expected to grow by 8% YoY in 2024, which is expected to be the highest growth rate in the past few years.**
5. **The retail market is expected to grow by 8% YoY in 2024, which is expected to be the highest growth rate in the past few years.**

### Analysis:
The bar chart shows that the retail market in Vietnam has been growing steadily since T12-20, with the highest growth rate in T12-22 at 43.6%. The growth rate has been relatively stable since then, with minor fluctuations. The text description provides additional context, highlighting the impact of the COVID-19 pandemic and the expected growth of the retail market in the future.


Page 9 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a slide from a presentation titled "2. Thị trường ngành bán lẻ Việt Nam" which translates to "2. Vietnam Retail Market". The slide is divided into two main sections: "Cập nhật nhóm bán lẻ hàng hóa" and "Doanh thu bán lẻ lụy kế (ngính kỹ thuật)".

### Section 1: "Cập nhật nhóm bán lẻ hàng hóa"
- **Bar Chart**: This chart shows the sales revenue of the retail sector in Vietnam from 2020 to 2024. The data is presented in a bar chart with three categories: "Bán lẻ hàng hóa", "Tổng bán lẻ và dịch vụ", and "Tổng cộng của nhóm bán lẻ hàng hóa".
  - **2020**: 78.4%
  - **2021**: 81.2%
  - **2022**: 77.8%
  - **2023**: 76.3%
  - **2024**: 76.3%

### Section 2: "Doanh thu bán lẻ lụy kế (ngính kỹ thuật)"
- **Bar Chart**: This chart shows the sales revenue of the retail sector in Vietnam from 2020 to 2025. The data is presented in a bar chart with three categories: "Bán lẻ hàng hóa", "Tổng bán lẻ và dịch vụ", and "Tổng cộng của nhóm bán lẻ hàng hóa".
  - **2020**: 79.1%
  - **2021**: 82.6%
  - **2022**: 78.9%
  - **2023**: 77.5%
  - **2024**: 77.0%
  - **2025**: 76.2%

### Additional Information
- **Text**: The slide includes a paragraph of text that provides context and analysis of the data presented in the charts.
- **Logo**: The slide includes the logo of Shinhan Securities Vietnam at the bottom left corner.

### Analysis
The slide provides a comprehensive overview of the retail sector's sales revenue in Vietnam from 2020 to 2024 and forecasts its revenue for 2025. The data shows a gradual decline in sales revenue from 2020 to 2024, with a slight increase in 2025. The retail sector is expected to continue to grow in the future, with a forecasted revenue of 76.2% in 2025.

### Marketing Post
#### Title: "Investing in Vietnam's Retail Market: A Comprehensive Analysis"
#### Description:
This slide provides a detailed analysis of the Vietnam retail market, highlighting the growth and trends in sales revenue from 2020 to 2025. The data shows a gradual decline in sales revenue from 2020 to 2024, with a slight increase in 2025. The retail sector is expected to continue to grow in the future, with a forecasted revenue of 76.2% in 2025. This information is crucial for investors and businesses looking to enter or expand their operations in Vietnam's retail market.
- Text Content: [IMAGE ANALYSIS]
The image is a slide from a presentation titled "2. Thị trường ngành bán lẻ Việt Nam" which translates to "2. Vietnam Retail Market". The slide is divided into two main sections, each with a bar chart and a table.

### Left Section:
- **Title**: Cập nhật nhôm bán lẻ hàng hóa
- **Subtitle**: Doanh thu bán lẻ hàng hóa tháng 12 các năm (ngành tý dòng)
- **X-axis**: Years (T12.2020, T12.2021, T12.2022, T12.2023, T12.2024)
- **Y-axis**: Sales (in millions of VND)
- **Bars**: Four bars representing different years (2020, 2021, 2022, 2023, 2024)

### Right Section:
- **Title**: Doanh thu bán lẻ lụy kế (ngành tý dòng)
- **Subtitle**: Bán lẻ hàng hóa
- **Subtitle**: Tổng bán lẻ và dịch vụ
- **Subtitle**: Tý trọng dòng gốp của nhóm Bán lẻ hàng hóa
- **X-axis**: Years (2020, 2021, 2022, 2023, 2024, 2025F)
- **Y-axis**: Sales (in millions of VND)
- **Bars**: Four bars representing different years (2020, 2021, 2022, 2023, 2024, 2025F)

### Text Description:
- **Text in the left section**:
  - The slide mentions that the data is from Shinhan Securities Vietnam.
  - It discusses the sales of retail sales in Vietnam for the years 2020, 2021, 2022, 2023, and 2024.
  - The sales are shown in millions of VND.

- **Text in the right section**:
  - The slide mentions that the data is from Shinhan Securities Vietnam.
  - It discusses the sales of retail sales in Vietnam for the years 2020, 2021, 2022, 2023, 2024, and 2025F (forecast).
  - The sales are shown in millions of VND.

### Analysis:
- **Sales Trends**:
  - The sales for the years 2020, 2021, and 2022 show a slight increase each year.
  - The sales for 2023 and 2024 show a slight decrease compared to 2022.
  - The sales for 2025F show a significant increase compared to 2024.

- **Industry Insights**:
  - The retail industry in Vietnam is expected to continue growing in the coming years.
  - The sales data suggests that the industry is experiencing a positive trend, with a slight decline in 2023 and a significant increase in 2025F.

- **Forecasting**:
  - The forecasted sales for 2025F show a significant increase, indicating a positive outlook for the industry in the future.

### Conclusion:
The slide provides a detailed analysis of the sales trends for the retail industry in Vietnam over the past few years and forecasts for the upcoming years. The data is sourced from Shinhan Securities Vietnam, and the analysis suggests a positive outlook for the industry's growth.


Page 10 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a bar chart from the "Vietnam Investment Outlook 2025" report by Shinhan Securities. The chart provides a detailed breakdown of the growth and distribution of various types of businesses in Vietnam from 2021 to 2025F (Future).

### Key Points:
1. **Title and Subtitle:**
   - The title is "2. Thị trường ngành bán lẻ Việt Nam," which translates to "2. The retail market in Vietnam."

2. **X-Axis:**
   - The x-axis represents the years from 2021 to 2025F.
   - The years are labeled as 2021, 2022, 2023, 9T2024, and 2025F.

3. **Y-Axis:**
   - The y-axis represents the percentage distribution of various types of businesses.
   - The percentage ranges from 0% to 100%.

4. **Bars:**
   - Each bar represents a different type of business.
   - The bars are color-coded to differentiate between different types of businesses:
     - Blue: Online
     - Orange: Chợ (Traditional market)
     - Brown: Chợ online (Online market)
     - Green: Chợ điện tử (E-commerce)
     - Grey: Các mô hình kinh doanh khác (Other types of businesses)

5. **Data Points:**
   - The chart shows the percentage distribution of each type of business for each year.
   - For example, in 2021, the online business is 12%, the traditional market is 33%, the online market is 14%, the e-commerce is 14%, and the other types of businesses are 12%.

6. **Legend:**
   - The legend on the right side of the chart explains the color coding of the bars.
   - The legend includes the following categories:
     - Khác (Other)
     - Chợ (Traditional market)
     - Chợ online (Online market)
     - Chợ điện tử (E-commerce)
     - Các mô hình kinh doanh khác (Other types of businesses)

### Analysis:
- **Online Business Growth:**
  - The online business has seen a significant increase from 12% in 2021 to 65% in 2025F.
  - This growth is likely due to the increasing adoption of digital platforms and the rise of e-commerce in Vietnam.

- **Traditional Market Growth:**
  - The traditional market has shown a steady increase from 33% in 2021 to 19% in 2025F.
  - This could be attributed to the growing demand for traditional marketplaces and the increasing availability of physical stores.

- **E-commerce Growth:**
  - The e-commerce business has seen a significant increase from 14% in 2021 to 58% in 2025F.
  - This growth is likely due to the increasing popularity of online shopping and the availability of a wide range of products and services.

- **Other Types of Businesses:**
  - The other types of businesses have shown a moderate increase from 12% in 2021 to 15% in 2025F.
  - This could be due to the diversification of business models and the increasing availability of new types of businesses in Vietnam.

### Conclusion:
The chart provides a clear and concise overview of the growth and distribution of various types of businesses in Vietnam from 2021 to 2025F. The online business has seen the most significant growth, while the traditional market has shown a steady increase. The e-commerce business has also seen significant growth, and the other types of businesses have shown a moderate increase. This information can be useful for businesses looking to expand their operations in Vietnam or for investors interested in the retail market in Vietnam.
- Text Content: [IMAGE ANALYSIS]
The image is a bar chart titled "2. Thị trường ngành bán lẻ Việt Nam" which translates to "2. Vietnam Retail Market". The chart provides data on the distribution of goods sold by various categories of retailers in Vietnam from 2021 to 2025. The data is presented in a stacked bar chart, with each bar representing a different category of retailers.

### Chart Layout:
- **Title**: " Thị trường ngành bán lẻ Việt Nam" (Vietnam Retail Market)
- **Subtitle**: "Tỷ trọng dòng gốp giá trị của các kênh bán lẻ theo khu vực (%)"
- **X-Axis**: Represents the years from 2021 to 2025F (Future).
- **Y-Axis**: Represents the percentage distribution of goods sold by different categories of retailers.
- **Bars**: Each bar represents a different category of retailers and their respective percentage distribution.

### Data Breakdown:
- **2021**:
  - **Online**: 33%
  - **Chợ**: 12%
  - **Cửa hàng trực tuyến**: 14%
  - **Cửa hàng trực tuyến hóa lớn**: 15%
  - **Cửa hàng trực tuyến hóa nhỏ**: 14%
  - **Cửa hàng mini**: 6%
  - **Cửa hàng + Đại siêu thị**: 4%
  - **Cửa hàng + Đại siêu thị + Chợ**: 11%
  - **Cửa hàng + Đại siêu thị + Chợ + Cửa hàng trực tuyến hóa lớn**: 10%
  - **Cửa hàng + Đại siêu thị + Chợ + Cửa hàng + Chợ**: 6%
  - **Cửa hàng + Đại siêu thị + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ**: 6%
  - **Cửa hàng + Đại siêu thị + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ**: 6%
  - **Cửa hàng + Đại siêu thị + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + Cửa hàng + Chợ + C


Page 3 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a magazine or book, specifically page 93 of a publication titled "Xuan Giáp Thìn - 2024." The page is divided into two columns, each containing text in Vietnamese. The text is dense and appears to be a section of an article or essay. The layout is typical of a printed page, with paragraphs of text separated by margins and lines.

The text on the left column is in black and the text on the right column is in white. The font size is consistent throughout the page, suggesting that the content is important and likely intended for readers to read carefully. The page number "93" is visible at the bottom right corner, indicating that this is the 93rd page of the publication.

The overall appearance of the page suggests that it is part of a larger work, possibly a book or a magazine, given the structured layout and the presence of a page number. The text on the page seems to be informative or analytical, possibly discussing economic, social, or political topics relevant to the year 2024.

Given the layout and the content, this page could be part of a larger article discussing economic trends, market analysis, or policy implications for the year 2024. The dense text and structured layout are typical of professional or academic publications, aiming to provide comprehensive information to readers.

To summarize, this image is a page from a magazine or book titled "Xuan Giáp Thìn - 2024," featuring a dense text in Vietnamese, divided into two columns, with a page number indicating it is the 93rd page. The content appears to be informative and analytical, likely discussing economic or social topics relevant to the year 2024.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a book or magazine titled "Xuan Giáp Thìn - 2024." The page number is 93. The text is in Vietnamese and appears to be a section from a book or article discussing economic and business topics. The layout consists of two columns of text, with each column containing a paragraph of text. The text is well-organized and formatted in a clear, readable manner. The page number is located at the bottom right corner, indicating that this is a page from a larger publication. The overall design is simple and professional, suitable for a formal publication.


Page 5 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a magazine or book, specifically page 95 of a publication titled "Xuan Giáp Thìn - 2024." The page is divided into two columns, each containing text in Vietnamese. The text is formatted in a clear, readable font, and the page number is visible at the bottom right corner.

The left column contains a section titled "4. Kết luận," which translates to "Conclusion." The text discusses the impact of technology on the economy and society, particularly in the context of Vietnam. It mentions the role of technology in transforming industries, improving efficiency, and creating new opportunities. The conclusion emphasizes the importance of technology in driving economic growth and innovation.

The right column contains a list of bullet points, which are likely numbered and formatted similarly to a table of contents. The bullet points are as follows:

1. Hiệp hội Thương mại điện tử. Bảo cẩn Chỉ số thương mại điện tử Việt Nam (EBI) qua các năm. Hà Nội, 2022.
2. Trung tâm Internet Việt Nam. Bảo cẩn internet, tài nguyên internet Việt Nam Hà Nội, 2022.
3. Hootsuite&Weasocial. Bảo cẩn Digital 2020.
4. Thu Huế. Bức tranh chuyển đổi số ngành bán lẻ: 4 xu hướng chính và bài học từ các doanh nghiệp. Hà Nội, 2022.
5. Bộ Kế hoạch và Đầu tư. Cục Phát triển doanh nghiệp. Bảo cẩn thương mại chuyển đổi số doanh nghiệp 2022: mục đích, sản xuất, chuyển đổi số của doanh nghiệp Việt Nam. Hà Nội, 2022.
6. An Thì Thanh Nhân. Chuyển đổi số trong các doanh nghiệp ngành bán lẻ Việt Nam - cơ hội và thách thức. Tập chí Công Thương, số 10, tháng 5/2022.

The page also includes a footer with the text "Tập chí Quản lý nhà nước - Số 336 (1/2024)," which translates to "Magazine on National Management - Number 336 (1/2024)." The page number 95 is visible at the bottom right corner.

Overall, the page provides a comprehensive overview of the impact of technology on Vietnam's economy and society, with a focus on the role of technology in transforming industries and driving economic growth.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a book or magazine titled "Xuan Giáp Thìn - 2024." The page number is 95, and the layout is as follows:

1. **Header**: At the top, there is a title in bold, "Xuan Giáp Thìn - 2024," which translates to "Xuan Giáp Thìn - 2024" in English. Below the title, there is a logo or emblem.

2. **Main Content**: The main content is divided into two columns, each containing a paragraph of text. The text is in Vietnamese and appears to be a section of a book or magazine article.

3. **Footer**: At the bottom of the page, there is a footer with the text "Tập chí Quản lý nhà nước - Số 336 (1/2024)" which translates to "The Official Magazine of the State Administration - Number 336 (1/2024)." The page number "95" is also visible at the bottom right corner.

4. **Additional Elements**: There is a small logo or emblem in the bottom right corner, which is not clearly visible in the image.

The layout is typical of a printed page, with clear sections for the title, main content, and footer. The text is formatted in a standard paragraph style, and the layout is clean and organized.


Page 1 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a book or a document with text in Vietnamese. The text is in black on a white background, and the font is clear and legible. The title at the top of the page reads "Đánh giá kinh tế Việt Nam năm đầu năm 2025 theo mô hình tổng cung tổng cầu." Below the title, there is a name, Nguyễn Minh Quân, and a title indicating the document is from Đại học Kinh tế Thành phố Hồ Chí Minh. The content of the text seems to be discussing economic evaluations of Vietnam in the first year of 2025, based on the aggregate demand and aggregate supply models.

The text is divided into several paragraphs, each discussing different aspects of the economic situation in Vietnam. The paragraphs are well-organized and provide detailed information on the current state of the economy, potential future trends, and the impact of various factors on the economy.

The content is technical and likely intended for an academic or professional audience, as it references specific economic theories and models. The text is written in a formal tone, and the use of technical terms suggests that it is a scholarly work.

Overall, the image represents a page from a scholarly document that discusses economic evaluations and projections for Vietnam in the first year of 2025, based on the aggregate demand and aggregate supply models.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document written in Vietnamese. The text is formatted in a standard paragraph style with justified alignment. The document appears to be a formal piece of writing, possibly an academic or professional report. Here is a detailed description of the layout:

### Layout Description:

#### Header:
- **Title**: The title of the document is "Đánh giá kinh tế Việt Nam năm đầu năm 2025 theo mô hình tổng cung tổng cầu."
- **Author**: The author's name is Nguyen Minh Quan.
- **Institution**: The institution is listed as Đại học Kinh tế Thành phố Hồ Chí Minh.

#### Main Body:
- **Introduction**: The introduction discusses the importance of the model of total supply and demand in evaluating the economy of Vietnam in the first year of 2025.
- **Key Points**:
  - The document outlines the key points of the model, including the impact of various factors on the economy.
  - It mentions that the model is based on the aggregate demand and aggregate supply.
  - The text provides a detailed analysis of the impact of various economic indicators on the economy.
  - It also discusses the role of technology and innovation in driving economic growth.
  - The document concludes with a summary of the key points and recommendations for future economic policies.

#### Footnotes:
- **Footnote 1**: The first footnote is labeled "Aggregate Demand."
- **Footnote 2**: The second footnote is labeled "Aggregate Supply."

### Analysis:
The document is structured to provide a comprehensive analysis of the economic model of total supply and demand in Vietnam for the year 2025. It covers various economic indicators, including technological advancements, innovation, and the role of the economy in global markets. The document emphasizes the importance of understanding the impact of these factors on the economy and suggests that technological advancements and innovation are crucial for driving economic growth.

### Conclusion:
The document is a well-structured academic piece that provides a detailed analysis of the economic model of total supply and demand in Vietnam for the year 2025. It highlights the importance of technological advancements and innovation in driving economic growth and suggests that understanding these factors is crucial for policymakers to develop effective economic policies.


Page 2 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a page from a book or document written in Vietnamese. The text is in a formal and academic style, likely discussing economic or financial concepts. The content appears to be discussing the impact of various factors on the economy, such as consumption, investment, government spending, and net exports. The text is organized into paragraphs, with each paragraph containing a mix of numerical data and descriptive text.

### Markdown Format:
```markdown
# The Wealth Effect

The Wealth Effect is a concept in economics that states that an increase in wealth can lead to an increase in consumption. This effect is often attributed to the "wealth effect" by Mankiw, who is a well-known economist.

### Key Points:
1. **The Wealth Effect**: An increase in wealth leads to an increase in consumption.
2. **Mankiw's Explanation**: Mankiw explains that the wealth effect is due to the fact that an increase in wealth allows individuals to spend more on goods and services.
3. **Examples**: The wealth effect is demonstrated through examples such as a person who gains wealth from a successful investment, leading to increased consumption.
4. **Implications**: The wealth effect can have significant economic implications, such as stimulating economic growth and contributing to higher levels of consumption.

### Economic Implications:
1. **Stimulating Economic Growth**: An increase in wealth can lead to increased consumption, which in turn can stimulate economic growth.
2. **Higher Levels of Consumption**: A higher level of consumption can lead to higher levels of income and wealth, creating a positive feedback loop.
3. **Economic Stability**: A stable economy can be maintained by ensuring that the wealth effect is balanced by appropriate government policies and regulations.

### Conclusion:
The Wealth Effect is a fundamental concept in macroeconomics that highlights the importance of wealth in driving economic activity. Understanding and managing the wealth effect is crucial for policymakers to ensure a balanced and sustainable economic environment.
```

### Analysis:
The text is structured to provide a clear explanation of the Wealth Effect, including its definition, examples, and implications. The use of formal language and academic terminology suggests that the content is intended for a professional audience, likely economists or students studying economics.

### Marketing Post:
#### Title: "Unlocking the Wealth Effect: Understanding the Impact of Wealth on Consumption"
#### Description:
The Wealth Effect is a powerful concept in macroeconomics that highlights the importance of wealth in driving economic growth and consumption. This concept is explained in detail, with examples and implications highlighted. By understanding the Wealth Effect, policymakers can ensure a balanced and sustainable economic environment.
#### Key Points:
1. **Definition**: The Wealth Effect states that an increase in wealth leads to an increase in consumption.
2. **Examples**: The Wealth Effect is demonstrated through examples such as a person who gains wealth from a successful investment, leading to increased consumption.
3. **Implications**: The Wealth Effect can have significant economic implications, such as stimulating economic growth and contributing to higher levels of consumption.
4. **Economic Implications**: The Wealth Effect can stimulate economic growth and maintain economic stability by ensuring that the wealth effect is balanced by appropriate government policies and regulations.

#### Conclusion:
The Wealth Effect is a fundamental concept in macroeconomics that highlights the importance of wealth in driving economic activity. By understanding and managing the Wealth Effect, policymakers can ensure a balanced and sustainable economic environment.
- Text Content: [IMAGE ANALYSIS]
The image contains a text in Vietnamese, which is a language spoken in Vietnam. The text is formatted in a standard paragraph with a left-aligned alignment. The text is written in a clear, readable font, and there are no images, tables, or other graphical elements present. The layout is straightforward, with each line of text starting on a new line, and the text is centered within the page. The text is not divided into sections or paragraphs, and there are no headings or subheadings. The font size is consistent throughout, and there are no additional decorations or embellishments. The text appears to be a formal document or an academic paper, likely discussing economic or financial concepts.


Page 3 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a book or document in Vietnamese. The text is written in a clear and readable font, and the content seems to be discussing economic and social concepts. Here is a detailed description of the content:

---

**Text Description:**

The text is divided into several paragraphs, each discussing different economic and social concepts. Here is a transcription of the text:

---

**Text Transcription:**

1. **Sự thay đổi về mức đầu tư:**
   - Khi các doanh nghiệp kỹ thuật tích cực và triển vọng kinh tế tốt, họ có xu hướng gia tăng đầu tư vào các lĩnh vực như công nghệ, nhà xưởng, công nghệ. Dù mức đầu tư tăng, tổng mức đầu tư vẫn không tăng, tổng mức đầu tư tăng sẽ khiến tổng công cụ dịch chuyển sang phần mềm. Người lai, nếu kỹ thuật tiên tiến hoặc chi phí vay vốn tăng (do lãi suất cao), các doanh nghiệp sẽ cần giảm đầu tư, giảm lượng công cụ dịch chuyển sang phần mềm.

2. **Sự thay đổi về chi tiêu chính phủ:**
   - Khi chính phủ gia tăng chi tiêu cho các lĩnh vực như hạ tầng, y tế, giáo dục hay quốc phòng, tổng chi tiêu trong nền kinh tế sẽ tăng lên, khiến tổng công cụ dịch chuyển sang phần mềm. Người lai, nếu chính phủ thực hiện các chính sách như tăng thuế, giảm thuế, giảm ngân sách, tổng chi tiêu sẽ giảm và tổng công cụ dịch chuyển sang phần mềm.

3. **Cuối cùng là sự thay đổi về xuất khẩu:**
   - Khi xuất khẩu tăng lên, tổng công cụ dịch chuyển sang phần mềm, tăng công cụ dịch chuyển sang phần mềm. Người lai, nếu xuất khẩu tăng lên, tổng công cụ dịch chuyển sang phần mềm, tổng công cụ dịch chuyển sang phần mềm.

---

**Analysis and Description:**

The text discusses various economic and social concepts, including changes in investment, government spending, and changes in exports. It highlights the impact of changes in these areas on the overall economy and suggests that these changes can lead to shifts in the allocation of resources and the development of new industries.

1. **Sự thay đổi về mức đầu tư:**
   - The text suggests that when businesses are more optimistic about the future and the economy is doing well, they tend to increase their investment in various sectors such as technology, manufacturing, and software development. Despite increased investment, the total amount of investment remains unchanged, indicating that the increase in investment is not leading to an increase in the overall level of investment.

2. **Sự thay đổi về chi tiêu chính phủ:**
   - The text notes that when the government increases its spending on infrastructure, healthcare, education, or defense, the total government spending increases, leading to a shift in the allocation of resources towards these areas. This can lead to a decrease in the overall level of government spending and a shift towards more efficient use of resources.

3. **Sự thay đổi về xuất khẩu:**
   - The text suggests that when exports increase, the total amount of goods and services exported also increases. This can lead to a shift in the allocation of resources towards the production of goods and services that are more in demand in foreign markets. However, the text also notes that this can lead to a decrease in the overall level of exports and a shift towards more efficient use of resources.

Overall, the text highlights the importance of understanding the impact of changes in economic and social factors on the overall economy and suggests that these changes can lead to shifts in the allocation of resources and the development of new industries.
- Text Content: [IMAGE ANALYSIS]
The image contains a page of text in Vietnamese, formatted in a standard paragraph format with justified alignment. The text is written in black ink on a white background. The layout is clean and straightforward, with each line of text neatly aligned to the left. The text is divided into paragraphs, and there are no images, tables, or other graphical elements present. The font size is consistent throughout, making it easy to read. The text appears to be a formal document, possibly a report or an academic paper, given the structured layout and formal presentation.


Page 4 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a book or document, written in Vietnamese. The text is in a standard font and is organized into paragraphs. The content seems to be discussing various topics related to economic and social development, possibly in the context of Vietnam. Here is a detailed description of the text:

---

**Text Description:**

The text is written in Vietnamese and discusses various economic and social topics. The content is organized into paragraphs and appears to be informative in nature. The text is not in a coherent flow, making it difficult to understand the exact meaning of each paragraph. However, some key phrases and terms are visible, such as "Sự thay đổi về vốn," "Natural Resources," "Technological Knowledge," and "General Statistics Office of Vietnam."

---

**Markdown Format:**

```markdown
# Sự thay đổi về vốn

Khi tổng vốn trong nền kinh tế tăng bao gồm vốn vật chất (như máy móc, thiết bị) và vốn con người (trình độ học vấn, kỹ năng) thì năng suất sản xuất được cải thiện, dẫn đến tăng trưởng cung dịch chuyển sang phát. Người lai, sự suy giảm về vốn vật chất hoặc chất lượng lao động sẽ khiến tổng cung dịch chuyển sang phát do năng suất sản xuất bị thu hẹp.

Sự thay đổi về nguồn tài nguyên thiên nhiên

Việc phát triển và khai thác tiềm năng tài nguyên thiên nhiên như khoáng sản, đất đai, hoặc điều kiện thời tiết thuận lợi sẽ tăng năng suất sản xuất, từ đó chuyển sang phát. Người lai, thiên nhiên tài bao lũ, hạn hán hay động đất có thể phá hủy cơ sở hạ tầng và làm giảm sản xuất, kéo dài tổng cung dịch chuyển sang phát.

Cuối cùng là sự thay đổi về kỹ thuật công nghệ

Theo Mankiw, tiến bộ công nghệ là một trong những yếu tố then chốt giúp nền kinh tế gia tăng sản lượng mà không cần tăng thêm đầu vào như lao động hay vốn. Khi công nghệ được cải tiến và ứng dụng hiệu quả, các doanh nghiệp có thể sản xuất nhiều hơn với cùng một lượng tài nguyên, từ đó tăng trưởng tổng cung dịch chuyển sang phát. Người lai, nếu việc ứng dụng công nghệ bị đình trệ, ví dụ như do các quy định an toàn nghiêm ngặt hay thiếu đầu tư, sẽ giảm năng suất, khiến tổng cung dịch chuyển sang phát.

Tốc độ phát triển kinh tế quy định 2025 của Việt Nam đạt mức cao, thúc đẩy các nền kinh tế tăng trưởng trên thế giới.

Theo báo cáo của Tổng cục Thống kê (GSO)16, trong năm thứ năm đầu năm 2025, tổng sản phẩm quốc nội (GDP) của Việt Nam đạt 6,93% so với cùng kỳ năm 2024, mức tăng cao nhất trong quá khứ 10 năm. Mức tăng cao này được ghi nhận trong quý I giai đoạn 2020 - 2025 và vượt trội so với nhiều quốc gia trong khu vực. Bộ Tài chính nhận định đây là dấu hiệu cho thấy nền kinh tế Việt Nam đang phục hồi mạnh mẽ trong bối cảnh toàn cầu đang biến động. Kết quả này phản ánh sự ổn định của Chính phủ trong việc duy trì ổn định kinh tế, cải thiện môi trường kinh doanh và thu hút vốn đầu tư nước ngoài. Những nỗ lực này đang góp phần hướng tới mục tiêu tăng trưởng 8% theo kế hoạch phát triển kinh tế - xã hội đến năm 2025.

16. General Statistics Office of Vietnam
```

---

**Analysis and Description:**

The text appears to be discussing economic and social development in Vietnam, particularly focusing on changes in the economy and the role of technology and natural resources. The content is somewhat fragmented and does not form a coherent narrative. However, it highlights the importance of technological advancements, natural resources, and the role of the General Statistics Office in monitoring and reporting on economic growth and development in Vietnam.

The text mentions several key terms and concepts, such as "Sự thay đổi về vốn," "Natural Resources," "Technological Knowledge," and "General Statistics Office of Vietnam." These terms suggest that the document is likely discussing economic policies, technological advancements, and statistical data in Vietnam.

Overall, the text provides a snapshot of the current state of economic and social development in Vietnam, highlighting the importance of technological advancements and natural resources in driving economic growth.
- Text Content: [IMAGE ANALYSIS]
The image contains a page of text in Vietnamese, formatted in a standard paragraph format with justified alignment. The text is written in black ink on a white background. The layout is clean and straightforward, with each line of text neatly aligned to the left. The text is divided into paragraphs, and there are no images, tables, or other graphical elements present. The font appears to be a standard serif type, commonly used in printed documents. The text is well-organized, making it easy to read and understand.


Page 5 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a page from a document, specifically a bar chart titled "Hình 1: Báo cáo các nhóm dòng gốp vào tăng trưởng GDP - Nguồn GSO." The chart compares the contribution of different economic sectors to GDP growth in the first quarter of 2024 and 2025. The sectors are:

1. GDP (Gross Domestic Product)
2. Nông nghiệp, xây dựng và dịch vụ (agriculture, construction, and services)
3. Công nghiệp và xây dựng (industrial and construction)
4. Dịch vụ (services)

The chart shows the percentage contribution of each sector to GDP growth in the first quarter of 2024 and 2025. The data is presented in a bar chart with the following data points:

- GDP: 5.98%
- Nông nghiệp, xây dựng và dịch vụ: 3.50%
- Công nghiệp và xây dựng: 6.85%
- Dịch vụ: 7.70%

The chart also includes a comparison between the first quarter of 2024 and 2025 for each sector. The data is presented in a table format with the following columns:

| Sector | 2024 | 2025 |
|--------|------|------|
| GDP    | 5.98% | 6.93% |
| Nông nghiệp và xây dựng | 3.50% | 3.74% |
| Công nghiệp và xây dựng | 6.85% | 7.42% |
| Dịch vụ | 7.70% | 7.70% |

The text on the page provides additional context about the economic growth projections for the first quarter of 2025, including the impact of various factors such as investment, technology, and infrastructure development. The text also mentions the impact of the COVID-19 pandemic on economic growth and the need for continued investment in infrastructure and technology to drive economic recovery.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document, specifically a bar chart and some text. Here is a detailed description of the layout:

### Bar Chart
The bar chart is titled "Hình 1: Báo cáo các nhóm dòng gốp vào tăng trưởng GDP - Nguồn GSO." This translates to "Picture 1: Report on the contribution of various groups of GDP growth - Source GSO."

#### Description of the Bar Chart:
1. **Title and Source**: The chart is titled "Hình 1: Báo cáo các nhóm dòng gốp vào tăng trưởng GDP - Nguồn GSO" which translates to "Picture 1: Report on the contribution of various groups of GDP growth - Source GSO."
2. **X-Axis**: The x-axis represents the "Nhóm dòng gốp" (Groups of GDP).
3. **Y-Axis**: The y-axis represents the "Tăng trưởng GDP" (GDP Growth).
4. **Bars**: There are four bars representing different groups of GDP growth:
   - **GDP**: The bar for GDP is the tallest, indicating a significant contribution.
   - **Nông nghiệp và xây dựng**: The bar for "Nông nghiệp và xây dựng" (agriculture and construction) is the second tallest, showing a moderate contribution.
   - **Công nghiệp và xây dựng**: The bar for "Công nghiệp và xây dựng" (industrial and construction) is the third tallest, indicating a moderate contribution.
   - **Dịch vụ**: The bar for "Dịch vụ" (services) is the shortest, indicating a relatively small contribution.

### Text Description
The text below the bar chart provides additional information:
1. **Introduction**: The text begins with a statement about the contribution of various groups of GDP growth to GDP growth. It mentions that the contribution of each group will be analyzed in detail.
2. **GDP Growth**: The text explains that the GDP growth will be analyzed in detail, with a focus on the contribution of each group.
3. **Groups of GDP**: The text lists the groups of GDP growth:
   - **GDP**: The largest group.
   - **Nông nghiệp và xây dựng**: The second largest group.
   - **Công nghiệp và xây dựng**: The third largest group.
   - **Dịch vụ**: The smallest group.

### Analysis
The bar chart shows that the "GDP" group has the highest contribution to GDP growth, indicating that this group is the most significant contributor. The "Nông nghiệp và xây dựng" group has a moderate contribution, while the "Công nghiệp và xây dựng" and "Dịch vụ" groups have relatively smaller contributions.

The text provides a detailed analysis of the contribution of each group to GDP growth, which is crucial for understanding the economic dynamics and policy implications.


Page 6 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a page from a document, specifically a bar chart and some text. The chart is titled "Hình 2: Tốc độ tăng/giảm CPI tháng 5/2025 so với tháng trước - Nguồn GSO." The chart shows the percentage changes in CPI (Consumer Price Index) for different months from May 2025 compared to the previous month. The bars are color-coded and labeled with the months and their corresponding percentage changes.

Here is a breakdown of the chart:

1. **Months and Percentage Changes:**
   - May 2025: 0.73%
   - April 2025: 0.43%
   - March 2025: 0.28%
   - February 2025: 0.21%
   - January 2025: 0.19%
   - December 2024: 0.14%
   - November 2024: 0.05%
   - October 2024: 0.03%
   - September 2024: 0.02%
   - August 2024: 0.01%

2. **Color Coding:**
   - Red bars represent percentage increases.
   - Green bars represent percentage decreases.

3. **Source:**
   - The chart is sourced from GSO (Government Statistical Office).

The text below the chart provides additional context:

- **Introduction:**
  - The text discusses the changes in CPI for May 2025 compared to the previous month.
  - It mentions that the changes are due to various factors such as inflation, economic policies, and market conditions.

- **Main Points:**
  - The text highlights the significant increase in CPI in May 2025 compared to the previous month.
  - It also mentions that the increase is due to the implementation of a new tax policy.
  - The text also discusses the impact of the tax policy on different sectors of the economy.

- **Conclusion:**
  - The text concludes that the increase in CPI in May 2025 is a result of the new tax policy and the overall economic conditions.

Overall, the image provides a clear visual representation of the percentage changes in CPI for May 2025 and some context about the factors that contributed to these changes.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document, specifically a bar chart and some text. Here is a detailed description of the page:

### Bar Chart
The bar chart is titled "Hình 2: Tốc độ tăng/giảm CPI tháng 5/2025 so với tháng trước - Nguồn GSO." This translates to "H2: CPI increase/decrease rate in May 2025 compared to the previous month - Source GSO."

The chart shows the percentage changes in CPI (Consumer Price Index) for various months from May 2025 to May 2024. The months are listed on the x-axis, and the percentage changes are represented on the y-axis. The bars are color-coded, with red for increases and green for decreases. The x-axis is labeled with the months, and the y-axis is labeled with the percentage changes.

### Text Description
The text below the chart provides additional information about the data presented in the chart. The text is written in Vietnamese and discusses the changes in CPI from May 2025 to May 2024. It mentions that the CPI increased in May 2025 compared to the previous month, with a specific percentage change noted. The text also mentions that the CPI decreased in May 2024 compared to the previous month, with a specific percentage change noted.

### Analysis
The bar chart shows that the CPI increased by 0.73% in May 2025 compared to the previous month, and decreased by 0.42% in May 2024 compared to the previous month. The text below the chart confirms these changes and provides additional context about the data.

### Conclusion
The document appears to be a report or analysis of the changes in the Consumer Price Index (CPI) from May 2025 to May 2024. The data is presented in a clear and concise manner, with a focus on the percentage changes in CPI. The text provides additional context and validation of the data presented in the chart.


Page 7 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a bar chart titled "Hình 3: Vốn đầu tư nước ngoài đang ký vào Việt Nam tháng 5 các năm 2021-2025 (Tỷ USD) - Người GSO". The chart shows the investment from foreign investors into Vietnam in the months of May from 2021 to 2025 in USD (billion USD).

### Description of the Chart:
1. **Title and Axes:**
   - The title of the chart is "Hình 3: Vốn đầu tư nước ngoài đang ký vào Việt Nam tháng 5 các năm 2021-2025 (Tỷ USD) - Người GSO".
   - The x-axis represents the years from 2021 to 2025.
   - The y-axis represents the investment in USD (billion USD).

2. **Bars:**
   - There are three bars for each year from 2021 to 2025.
   - The bars are color-coded:
     - Blue for "Đăng ký cấp mới"
     - Orange for "Đăng ký điều chỉnh"
     - Green for "Gấp vốn, mua cổ phần"

3. **Data Points:**
   - **2021:**
     - "Đăng ký cấp mới": 8.83 billion USD
     - "Đăng ký điều chỉnh": 3.86 billion USD
     - "Gấp vốn, mua cổ phần": 1.31 billion USD
   - **2022:**
     - "Đăng ký cấp mới": 4.12 billion USD
     - "Đăng ký điều chỉnh": 1.98 billion USD
     - "Gấp vốn, mua cổ phần": 1.31 billion USD
   - **2023:**
     - "Đăng ký cấp mới": 5.26 billion USD
     - "Đăng ký điều chỉnh": 3.32 billion USD
     - "Gấp vốn, mua cổ phần": 1.98 billion USD
   - **2024:**
     - "Đăng ký cấp mới": 8.08 billion USD
     - "Đăng ký điều chỉnh": 2.52 billion USD
     - "Gấp vốn, mua cổ phần": 1.56 billion USD
   - **2025:**
     - "Đăng ký cấp mới": 7.02 billion USD
     - "Đăng ký điều chỉnh": 2.85 billion USD
     - "Gấp vốn, mua cổ phần": 1.56 billion USD

### Analysis:
- **2021-2022:**
  - The investment in "Đăng ký cấp mới" (new registrations) has increased significantly, from 8.83 billion USD in 2021 to 4.12 billion USD in 2022.
  - The investment in "Đăng ký điều chỉnh" (adjustment registrations) has also increased, from 3.86 billion USD in 2021 to 1.98 billion USD in 2022.
  - The investment in "Gấp vốn, mua cổ phần" (capital increase, buying shares) has remained relatively stable, from 1.31 billion USD in 2021 to 1.31 billion USD in 2022.

- **2023-2025:**
  - The investment in "Đăng ký cấp mới" has decreased slightly, from 5.26 billion USD in 2023 to 5.26 billion USD in 2024.
  - The investment in "Đăng ký điều chỉnh" has decreased significantly, from 3.32 billion USD in 2023 to 2.85 billion USD in 2024.
  - The investment in "Gấp vốn, mua cổ phần" has remained relatively stable, from 1.98 billion USD in 2023 to 1.98 billion USD in 2024.

### Conclusion:
The chart shows a general trend of increasing investment in new registrations and capital increase, with a slight decrease in adjustment registrations. The investment in "Gop vón, mua cổ phần" (capital increase, buying shares) has remained relatively stable over the years. This indicates a growing trend in foreign investment in Vietnam, particularly in the areas of new registrations and capital increase.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document that contains both textual content and a bar chart. The layout is as follows:

### Textual Content
The text is divided into several paragraphs, each discussing economic and business-related topics. The paragraphs are organized in a logical sequence, providing a comprehensive overview of the subject matter. The text is written in Vietnamese and appears to be informative, possibly discussing economic trends, market analysis, or business strategies.

### Bar Chart
The bar chart is located at the top of the page and is divided into four sections, each representing a different category of data. The categories are:

1. **2025**
   - **Đăng ký cấp mới**: 7,02 tỷ USD
   - **Đăng ký điều chỉnh**: 8,52 tỷ USD
   - **Gấp vốn, mua cơ sở**: 2,85 tỷ USD
   - **18,39 tỷ USD**

2. **2024**
   - **Đăng ký cấp mới**: 8,08 tỷ USD
   - **Đăng ký điều chỉnh**: 2,52 tỷ USD
   - **Gấp vốn, mua cơ sở**: 1,56 tỷ USD
   - **12,16 tỷ USD**

3. **2023**
   - **Đăng ký cấp mới**: 5,26 tỷ USD
   - **Đăng ký điều chỉnh**: 2,28 tỷ USD
   - **Gấp vốn, mua cơ sở**: 3,32 tỷ USD
   - **10,86 tỷ USD**

4. **2022**
   - **Đăng ký cấp mới**: 4,12 tỷ USD
   - **Đăng ký điều chỉnh**: 5,61 tỷ USD
   - **Gấp vốn, mua cơ sở**: 1,98 tỷ USD
   - **11,71 tỷ USD**

### Analysis
The bar chart provides a visual representation of the data for each year from 2021 to 2025. The values are in billions of USD, and the categories are clearly labeled. The data shows a gradual increase in the amount of foreign direct investment (FDI) over the years, with the highest amount in 2025 at 18.39 billion USD. The data for 2024 and 2023 are also significant, with the highest values in 2025.

### Relevant Knowledge
FDI is a significant factor in economic growth and development. It involves foreign investors investing in a country's economy, typically through the establishment of new businesses or the acquisition of existing businesses. The increase in FDI in Vietnam from 2021 to 2025 indicates a growing foreign presence in the country, which could be attributed to various factors such as economic reforms, improved infrastructure, and a favorable business environment.

### Conclusion
The document provides a detailed analysis of the foreign investment trends in Vietnam over the specified years, with a focus on the growth and distribution of FDI. The bar chart serves as a visual representation of this data, highlighting the significant increase in FDI over the period. The text accompanying the chart provides additional context and analysis, offering insights into the economic and business strategies that have contributed to this growth.


Page 8 Visual Data:
- Description: [IMAGE ANALYSIS]
This image is a page from a document in Vietnamese, which appears to be a report or analysis. The document is structured with paragraphs of text, and the text is in black on a white background. The document seems to be discussing economic and financial data, possibly related to a specific project or initiative. Here is a detailed description of the content:

---

**Document Title:**

The title of the document is not clearly visible in the image, but it seems to be related to economic or financial analysis.

**Introduction:**

The introduction is brief and does not provide much context. It may introduce the topic or provide some background information.

**Main Body:**

The main body of the document contains several paragraphs of text. The text is in Vietnamese and appears to be discussing economic data, possibly related to a specific project or initiative. The paragraphs are well-organized and provide detailed information on various economic indicators.

**Key Points:**

1. **Economic Growth:**
   - The document mentions economic growth, indicating that the data is related to economic performance.
   - Specific indicators of economic growth are provided, such as GDP, inflation, and unemployment rates.

2. **Financial Data:**
   - There is a section on financial data, including net exports, net investment, and net income.
   - The text provides detailed information on these financial indicators, including their values and trends.

3. **Industry Analysis:**
   - The document may also include an analysis of specific industries or sectors.
   - Specific industries or sectors are mentioned, such as manufacturing, agriculture, and services.

4. **Policy Implications:**
   - The document may discuss the implications of the economic data on policy decisions.
   - Specific policy recommendations or actions are not provided in the image.

**Conclusion:**

The conclusion of the document may provide a summary of the main points discussed in the text. It may also include recommendations or conclusions based on the economic data.

**References:**

The document may include references to other sources or studies, but they are not visible in the image.

---

**Markdown Format:**

```markdown
# Document Title

## Introduction

The introduction is brief and does not provide much context. It may introduce the topic or provide some background information.

## Main Body

The main body of the document contains several paragraphs of text. The text is in Vietnamese and appears to be discussing economic data, possibly related to a specific project or initiative. The paragraphs are well-organized and provide detailed information on various economic indicators.

**Key Points**

1. **Economic Growth:**
   - The document mentions economic growth, indicating that the data is related to economic performance.
   - Specific indicators of economic growth are provided, such as GDP, inflation, and unemployment rates.

2. **Financial Data:**
   - There is a section on financial data, including net exports, net investment, and net income.
   - The text provides detailed information on these financial indicators, including their values and trends.

3. **Industry Analysis:**
   - The document may also include an analysis of specific industries or sectors.
   - Specific industries or sectors are mentioned, such as manufacturing, agriculture, and services.

4. **Policy Implications:**
   - The document may discuss the implications of the economic data on policy decisions.
   - Specific policy recommendations or actions are not provided in the image.

**Conclusion**

The conclusion of the document may provide a summary of the main points discussed in the text. It may also include recommendations or conclusions based on the economic data.

**References**

The document may include references to other sources or studies, but they are not visible in the image.
```

---

This detailed description should help a text-based model understand and answer any related questions about the document.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document written in Vietnamese. The text is formatted in paragraphs and includes various sections of information, such as tables and figures. The layout is clean and organized, with clear headings and subheadings to guide the reader through the content. The text is in black on a white background, making it easy to read. The document appears to be a report or an analysis, possibly related to economic or financial data. The text is structured in a way that makes it easy to follow and understand the information presented.


Page 9 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a document, possibly a report or a study, focusing on economic and market analysis. Here is a detailed description of the content:

### Page 1: Introduction and Table
- **Introduction**: The text starts with a paragraph introducing the data presented in the table.
- **Table**: The table is titled "Biểu 4. Giá trị một số mặt hàng xuất khẩu 5 tháng đầu năm 2025 - Nguồn GSO."
  - **Columns**: The table has four columns.
  - **Rows**: There are five rows of data.
  - **Data**: The table shows the following information:
    - **Column 1**: Various categories of goods.
    - **Column 2**: Values in USD.
    - **Column 3**: Percentage change in value.
    - **Column 4**: Percentage change in value compared to the previous year.

### Page 2: Description of the Table
- **Description**: The text provides a detailed description of the data in the table.
- **Column 1**: Various categories of goods.
- **Column 2**: Values in USD.
- **Column 3**: Percentage change in value.
- **Column 4**: Percentage change in value compared to the previous year.

### Page 3: Graphs
- **Graph 1**: A bar graph showing the value of exports by region.
  - **X-axis**: Regions.
  - **Y-axis**: Value in USD.
  - **Bars**: Each region is represented by a bar, with the height of the bar indicating the value of exports.

### Page 4: Description of the Graph
- **Description**: The text provides a detailed description of the graph.
- **X-axis**: Regions.
- **Y-axis**: Value in USD.
- **Bars**: Each region is represented by a bar, with the height of the bar indicating the value of exports.

### Page 5: Analysis and Conclusion
- **Analysis**: The text analyzes the data and provides insights into the trends and patterns observed.
- **Conclusion**: The text concludes with a summary of the findings and implications of the data.

### Page 6: Table
- **Table**: The table is titled "Biểu 5. Giá trị một số mặt hàng xuất khẩu 5 tháng đầu năm 2025 - Nguồn GSO."
  - **Columns**: The table has four columns.
  - **Rows**: There are five rows of data.
  - **Data**: The table shows the following information:
    - **Column 1**: Various categories of goods.
    - **Column 2**: Values in USD.
    - **Column 3**: Percentage change in value.
    - **Column 4**: Percentage change in value compared to the previous year.

### Page 7: Description of the Table
- **Description**: The text provides a detailed description of the data in the table.
- **Column 1**: Various categories of goods.
- **Column 2**: Values in USD.
- **Column 3**: Percentage change in value.
- **Column 4**: Percentage change in value compared to the previous year.

### Page 8: Graphs
- **Graph 1**: A bar graph showing the value of exports by region.
  - **X-axis**: Regions.
  - **Y-axis**: Value in USD.
  - **Bars**: Each region is represented by a bar, with the height of the bar indicating the value of exports.

### Page 9: Description of the Graph
- **Description**: The text provides a detailed description of the graph.
- **X-axis**: Regions.
- **Y-axis**: Value in USD.
- **Bars**: Each region is represented by a bar, with the height of the bar indicating the value of exports.

### Page 10: Analysis and Conclusion
- **Analysis**: The text analyzes the data and provides insights into the trends and patterns observed.
- **Conclusion**: The text concludes with a summary of the findings and implications of the data.

### Page 11: Table
- **Table**: The table is titled "Biểu 6. Giá trị một số mặt hàng xuất khẩu 5 tháng đầu năm 2025 - Nguồn GSO."
  - **Columns**: The table has four columns.
  - **Rows**: There are five rows of data.
  - **Data**: The table shows the following information:
    - **Column 1**: Various categories of goods.
    - **Column 2**: Values in USD.
    - **Column 3**: Percentage change in value.
    - **Column 4**: Percentage change in value compared to the previous year.

### Page 12: Description of the Table
- **Description**: The text provides a detailed description of the data in the table.
- **Column 1**: Various categories of goods.
- **Column 2**: Values in USD.
- **Column 3**: Percentage change in value.
-
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document, likely a report or analysis, focusing on economic and financial data. The page is divided into several sections, each containing text and graphical data. Here is a detailed description of the layout:

### Header Section
- **Title**: The header section contains a title in Vietnamese, which translates to "Biểu 4. Giá trị một số mặt hàng xuất khẩu 5 tháng đầu năm 2025 - Nguồn GSO". This translates to "Table 4. Value of some export goods in the first five months of 2025 - Source GSO".

### Main Body Section
#### Table
- **Columns**: The table has four columns, each representing different categories of goods.
  - **Column 1**: Represents the value of the goods in USD.
  - **Column 2**: Represents the percentage change in value.
  - **Column 3**: Represents the percentage change in quantity.
  - **Column 4**: Represents the percentage change in quantity.

#### Data
- **Diệt tử, máy tính và linh kiện**: This category includes electronics, computers, and components.
- **Diệt thoaicác loại và linh kiện**: This category includes disinfectants and components.
- **Máy móc, thiết bị, dụng cụ, phụ tùng khác**: This category includes machinery, equipment, tools, and other components.
- **Hàng đệt, máy**: This category includes electrical goods and machinery.
- **Giày dép**: This category includes footwear.
- **Gỗ và sản phẩm gỗ**: This category includes wood and wood products.
- **Phương tiện vận tải và phụ tùng**: This category includes transportation equipment and parts.

#### Graphs
- **Graph 1**: Represents the value of exports in USD.
- **Graph 2**: Represents the percentage change in value.
- **Graph 3**: Represents the percentage change in quantity.
- **Graph 4**: Represents the percentage change in quantity.

### Additional Text
- **Text**: The text below the graphs provides additional context and analysis.
- **Text**: The text below the graphs provides additional context and analysis.

### Footer Section
- **Footer**: The footer contains additional information, likely related to the source or the purpose of the document.

### Analysis
The document appears to be a detailed analysis of the value and percentage changes in the export of various goods over a specific period. The data is presented in a clear and structured manner, making it easy to interpret. The graphs provide visual insights into the trends and changes in the export values and quantities over time.

### Conclusion
This document is likely part of a larger study or report on the economic performance of Vietnam's exports, specifically focusing on the first five months of 2025. The data and graphs provide valuable insights into the value and quantity of exports, which can be used for economic forecasting, policy-making, and strategic planning.


Page 3 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a book or report, specifically page 16. The text is in Vietnamese and discusses various financial and economic metrics related to companies. The page is divided into two main sections:

1. **Table of Companies**:
   - The table lists 12 companies, each with a unique code (Mã công ty) and their respective names (Tên công ty).
   - The table also includes the stock exchange code (Sàn niêm yết) for each company.

2. **Introduction to the Companies**:
   - The text explains that the companies listed are part of a larger group and are expected to grow in the future.
   - It mentions that the companies are expected to have a positive impact on the economy and are expected to have a positive impact on the economy.

The text is well-organized and provides a clear overview of the companies listed, making it easy for readers to understand the context and significance of each company. The use of specific codes and stock exchange codes helps in identifying the companies and their respective positions in the market.
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document titled "TẬP CHÍ KHOA HỌC VÀ CÔNG NGHỆ TRƯỜNG ĐẠI HỌC HƯNG VƯƠNG" authored by Đỗ Quang Hùng. The page number is 16. The document appears to be a part of a larger academic or research work, possibly related to business or economics.

The content of the page is divided into two main sections:

1. **Table of Companies**:
   - The table lists 12 companies with their respective names, stock symbols, and stock exchange codes (HOSE, HNX, UPCOM).
   - The table is structured as follows:
     - Columns: Mã công ty (Company Code), Tên công ty (Company Name), Sàn niêm yết (Stock Exchange).
     - Rows: Each row corresponds to a different company listed in the table.

2. **Introduction to the Companies**:
   - The introduction discusses the companies' roles and significance in the context of the document.
   - It mentions that the companies are part of a larger study or research project, likely related to the Vietnamese economy and business.

The layout is straightforward, with clear headings and a structured table that provides a quick reference to the companies listed. The text is formatted in a readable font, and the table is neatly organized, making it easy to navigate and understand the information presented.

Overall, the document seems to be a part of a larger academic or research project, focusing on the companies listed in the table. The table provides a concise and organized way to present the information, making it accessible for further analysis or reference.


Page 4 Visual Data:
- Description: [IMAGE ANALYSIS]
This image appears to be a page from a book or academic paper, specifically page 17 of a document. The page is divided into two columns, with text in both Vietnamese and English. The text is formatted in a clear and readable manner, with paragraphs and bullet points clearly separated. The content seems to be discussing statistical and machine learning concepts, likely related to data analysis and modeling.

### Markdown Format of the Text

```markdown
# TẬP CHÍ KHOA HỌC VÀ CÔNG NGHỆ TRƯỜNG ĐẠI HỌC HƯNG VƯỜNG

**Tập 11, Số 2 (2025): 14 - 24**

### 3.2. Phương pháp tính xử lý dữ liệu

Quá trình tính xử lý dữ liệu đồng thời quan trọng trong việc đảm bảo chất lượng dữ liệu đầu vào cho mô hình dự báo ROA và ROE. Trong nghiên cứu này, dữ liệu được tiến xử lý qua các bước chính sau:

- Loại bỏ giá trị ngoại lệ bằng phương pháp IQR.
- Chuẩn hóa dữ liệu bằng Min-Max Scaling.

### 3.3. Mô hình dự báo

Trong nghiên cứu này, ba mô hình dự báo được sử dụng để dự báo giá trị mục tiêu. Mô hình này giúp giảm phương sai và cải thiện độ chính xác bằng cách kết hợp các thuật toán khác nhau. Mô hình này được sử dụng trong nhiều dự án nghiên cứu khác nhau.

- Random Forest Regressor: Random Forest là một mô hình ensemble sử dụng nhiều cây quyet định để dự báo giá trị mục tiêu. Mô hình này giúp giảm phương sai và cải thiện độ chính xác bằng cách kết hợp các thuật toán khác nhau. Random Forest hoạt động tốt với dữ liệu phi tuyến tính và có khả năng xử lý dữ liệu nhiều chiều [9].

- XGBoost Regressor: XGBoost là một thuật toán boosting mạnh mẽ, được tạo ra để hoạt động hiệu quả với dữ liệu lớn và có thể giảm thiểu lỗi tổng quát hóa. XGBoost sử dụng cây quyet định để tạo ra các mô hình dự báo và cải thiện độ chính xác bằng cách kết hợp các thuật toán khác nhau [10].

- MLP (Neural Network): Mô hình MLP (Multilayer Perceptron) là một dạng mạng no-ron nhân tạo có nhiều lớp đơn, giúp học các đặc trưng phức tạp từ dữ liệu. MLP hoạt động tốt với dữ liệu phi tuyến tính và có khả năng dự báo chính xác nếu được huấn luyện đúng cách [11].

- Theil’s U: Hệ số này được sử dụng để so sánh các mô hình dự báo, công thức như sau:
\[ U = \frac{\sqrt{\sum_{k=1}^{m}\left(t_{k}-\bar{t}\right)^{2}}}{\sum_{k=1}^{m}t_{k}^{2}+\sum_{k=1}^{m}y_{k}^{2}} \]

Giá trị U nằm trong khoảng từ 0 đến 1, U càng lớn thì mô hình dự báo càng chính xác.

Có giá trị từ -1 đến 1, được dùng để đo lường mức độ phụ thuộc tuyến tính giữa giá trị thực tế và giá trị dự báo. Hệ số tương quan bằng 0 (hay gần 0) có nghĩa là không có liên hệ giữa giá trị hai số; ngược lại nếu bằng -1 hay 1 có nghĩa là giá trị thực tế và giá trị dự báo có một mối liên hệ tương đối. Nếu có nghĩa là khi tăng cao thì giá trị giảm và ngược lại, nếu có nghĩa là khi tăng cao thì giá trị tăng, và khi giảm cao thì giá trị giảm theo.
```

### Analysis and Description

The image is a page from a book or academic paper discussing statistical and machine learning concepts, specifically focusing on data analysis and modeling. The text is divided into two columns, with the left column containing Vietnamese text and the right column containing English text. The content is structured into sections, each discussing different aspects of data processing and modeling techniques.

### Relevant Knowledge

1. **Random Forest Regressor**: This is a machine learning algorithm that uses an ensemble of decision trees to make predictions. It is known for its ability to handle large datasets and can be used for both regression and classification tasks.
2. **XGBoost Regressor**: XGBoost is a gradient boosting machine learning algorithm that is known for its ability to handle large datasets and its ability to improve the accuracy of predictions.
3. **MLP (Multilayer Perceptron)**: This is a type of neural network that is used for regression tasks. It consists of multiple layers of nodes, each of which is connected to the nodes in the previous layer. MLPs are known for their ability to learn
- Text Content: [IMAGE ANALYSIS]
The image is a page from a document, specifically from a section titled "3.2. Phương pháp tính xử lý dữ liệu" (Method for Data Processing). The page number is 17, and it is part of a larger document, as indicated by the page number at the bottom right corner. The document appears to be a part of a textbook or academic paper, as suggested by the reference to "Tập Chí Khoa Học và Công Nghệ Trường Đại Học Hùng Vương" (College of Science and Technology, Hùng Vương University).

The page contains text in Vietnamese, discussing various statistical and machine learning methods. The content is structured into sections, each with a heading and subheadings. Here is a detailed breakdown of the content:

### Section 3.2: Phương pháp tính xử lý dữ liệu
- **Introduction**: Discusses the processing of data.
- **Methods**: Describes various methods for data processing, including:
  - **Random Forest Regression**: A method for regression analysis using a random forest ensemble.
  - **XGBoost Regression**: A variant of XGBoost, a gradient boosting machine for regression tasks.
  - **Multilayer Perceptron (MLP)**: A type of neural network used for regression tasks.
  - **Theil’s U**: A measure of the accuracy of a regression model.

### Section 3.3: Mô hình dữ liệu
- **Introduction**: Discusses the concept of data models.
- **Methods**: Describes various data modeling techniques, including:
  - **Random Forest**: A method for classification and regression analysis.
  - **XGBoost**: A gradient boosting machine for regression tasks.
  - **Multilayer Perceptron (MLP)**: A type of neural network used for regression tasks.
  - **Theil’s U**: A measure of the accuracy of a regression model.

### Section 3.4: Mô hình dữ liệu
- **Introduction**: Discusses the concept of data models.
- **Methods**: Describes various data modeling techniques, including:
  - **Random Forest**: A method for classification and regression analysis.
  - **XGBoost**: A gradient boosting machine for regression tasks.
  - **Multilayer Perceptron (MLP)**: A type of neural network used for regression tasks.
  - **Theil’s U**: A measure of the accuracy of a regression model.

### Section 3.5: Mô hình dữ liệu
- **Introduction**: Discusses the concept of data models.
- **Methods**: Describes various data modeling techniques, including:
  - **Random Forest**: A method for classification and regression analysis.
  - **XGBoost**: A gradient boosting machine for regression tasks.
  - **Multilayer Perceptron (MLP)**: A type of neural network used for regression tasks.
  - **Theil’s U**: A measure of the accuracy of a regression model.

### Section 3.6: Mô hình dữ liệu
- **Introduction**: Discusses the concept of data models.
- **Methods**: Describes various data modeling techniques, including:
  - **Random Forest**: A method for classification and regression analysis.
  - **XGBoost**: A gradient boosting machine for regression tasks.
  - **Multilayer Perceptron (MLP)**: A type of neural network used for regression tasks.
  - **Theil’s U**: A measure of the accuracy of a regression model.

### Section 3.7: Mô hình dữ liệu
- **Introduction**: Discusses the concept of data models.
- **Methods**: Describes various data modeling techniques, including:
  - **Random Forest**: A method for classification and regression analysis.
  - **XGBoost**: A gradient boosting machine for regression tasks.
  - **Multilayer Perceptron (MLP)**: A type of neural network used for regression tasks.
  - **Theil’s U**: A measure of the accuracy of a regression model.

### Section 3.8: Mô hình dữ liệu
- **Introduction**: Discusses the concept of data models.
- **Methods**: Describes various data modeling techniques, including:
  - **Random Forest**: A method for classification and regression analysis.
  - **XGBoost**: A gradient boosting machine for regression tasks.
  - **Multilayer Perceptron (MLP)**: A type of neural network used for regression tasks.
  - **Theil’s U**: A measure of the accuracy of a regression model.

### Section 3.9: Mô hình dữ liệu
- **Introduction**: Discusses the concept of data models.
- **Methods**: Describes various data modeling techniques, including:
  - **Random Forest**: A method for classification and regression analysis.
  - **XGBoost**: A gradient boosting machine for regression tasks.
  - **Multilayer Perceptron (MLP)**: A type of neural network used for regression tasks.
  - **Theil