The Gross Domestic Product (GDP) in China was worth 18743.80 billion US dollars in 2024, according to official data from the World Bank. The GDP value of China represents 17.65 percent of the world economy. This dataset provides - China GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

China boasts the fastest growing GDP of all developed nations. Neighboring regions will have the largest middle class in history. China is building transport infrastructure to take advantage. Companies that capture market share in this region will be the largest and best performing over the next decade.

Macro Tailwinds

1) China GDP is the fastest growing of any major country with expected 5-6% over the next decade. If businesses (Alibaba, Tencent, etc..) maintain flat market share, that alone will drive 5-6% over the next decade. This is already higher than JP Morgans expectation (from their 13f filings) that the US market will perform between -5% and +5% over this coming decade.

2) The Southeast Asia Region contains about 5 billion people. China is constructing the One Best One Road which will be completed by 2030. This will grant their businesses access to the fastest and largest growing middle class in human history. Over the next 10+ years this region will be home to the largest middle class in history, potentially over 10x that of North America and Europe, based on stock price in Google Sheets.

Increasing average Chinese income.

Chinese average income has more than doubled over the last decade. Having sustained the least economic damage from the virus, this trend is expected to continue. At this pace the average Chinese citizen salary will be at 50% of the average US by 2030 (with stock price in Excel provided by Finsheet via Finnhub Stock Api), with the difference being there are 4x more Chinese. Thus a market potential of almost 2x the US over the next decade.

The Southeast Asia Region now contains the largest total number of billionaires, this number is expected to increase at an increasing rate as the region continues to develop. Over the next 10 years the largest trading route ever assembled will be completed, and China will be the primary provider of goods to 5b+ people

2013 North America was home to the largest number of billionaires. This reversed with Asia over the following 5 years. This separation is expected to continue at an increasing rate. Why does this matter? Over the next 10 years the largest trading route ever assembled will be completed, and China will be the primary provider of goods to 5b+ people

Companies that can easily access all customers in the world will perform best. This is good news for Apple, Microsoft, and Disney. Disney stock price in Excel right now is $70. But not for Amazon or Google which at first may sound contrary as the expectation is that Amazon "will take over the world". However one cannot do that without first conquering China. Firms like Alibaba and Tencent will have easy access to the global infrastructure being built by China in an attempt to speed up and ease trade in that region. The following guide shows how to get stock price in Excel.

We will explore companies using a:

1) Past

2) Present (including financial statements)

3) Future

4) Story/Tailwind

Method to find investing ideas in these regions. The tailwind is currently largest in the Asia region with 6%+ GDP growth according to the latest SEC form 4 from Edgar Company Search. This is relevant as investments in this region have a greater margin of safety; investing in a company that maintains flat market share should increase about 6% per year as the market growth size is so significant. The next article I will explore Alibaba (NYSE: BABA), and why I recently purchased a large position during the recent Ant Financial Crisis.

In 2024, the industrial sector generated around **** percent of China's GDP. It was by far the largest contributor, followed by the wholesale and retail industry that was responsible for **** percent and the financial sector that produced *** percent of the country's economic output. Since China is the second-largest economy in the world, the industrial sector’s output alone exceeded the entire economy of Germany. China’s export and investment-driven economy China economic development of the early 2000s was mainly driven by investments and exports. A country's gross domestic product (GDP) consists of three parts: Consumption, investments, and net exports. Typically, emerging economies rely mainly on investments and exports for growing their economy and China was no exception. By the end of the 2010s, investments fueled more than 40 percent of China's GDP and exports were responsible for almost another 20 percent. In comparison to that, in most developed economies, investments make up only 20 percent of the economic output. Instead, the main economic driver is consumption. The economic structure in China created a huge industrial sector. For instance, China was the biggest steel exporter, the leading merchandise exporter, and exported more than a third of global household goods. Great push towards transformation In early 2018, the Chinese government proclaimed that the country's economy had reached a new development stage where consumption and services replaced investment and manufacturing as the main driver of economic growth. The fear of the middle-income trap and changing demographics were the main reasons for Beijing's emphasis on economic transformation. Although incomes in China had not stagnated, policymakers attempted to preempt “getting stuck” by steering the economy towards high-quality growth and consumption-focus. Furthermore, a society that was older and had a higher share of middle-class population had different requirements to the economy. In the case of a successful transformation, China's economy would become more similar to those of developed nations. For instance, the financial sector was the largest contributor to the United States economy. In the case of Germany, the service sector generates the largest share of gross domestic product.

This dataset contains key characteristics about the data described in the Data Descriptor A gridded establishment dataset as a proxy for economic activity in China. Contents:

    1. human readable metadata summary table in CSV format


    2. machine readable metadata file in JSON format

This repository contains the appendix, the dataset, and the analysis files for the study "Unpacking the Nuances of Agenda-Setting in the Online Media Environment: An Hourly-Event Approach in the Context of Chinese Economic News."Except for the appendix, the "Data" folder contains 36 csv-format files, each for one specific news event. In each file, the first column "hour" denotes hourly intervals of the data, and the 2–6 columns denote the endogenous variables included in the VAR models (i.e., the raw volume of coverage or discussion in different groups concerning media, the neitizens, and other institutions of interest). The datasets have been aggregated by 19-hour lags each day, resulting in 266 lags for the 14-day time window."AnalysisFiles" folder contains the R code and copy results for analysis, in which:-TimeSeriesAnalysis" contains the R code for the time-series analysis of this study. Besides, this folder also contains copies of the results for VAR models.-"t-test & ANOVA" contains the results of 36 separate VAR models and the R code for the t-test and ANOVA for the event feature on the influence of agenda-setting. Besides, this folder also contains copies of the results of t-tests and ANOVA.-"Figure" contains the R code for creating Figure 1 and Figure 2 in the main text of this study and also contains copies of these two figures.

China Other Daily Sundry Article: YoY: Total Asset data was reported at 2.711 % in Oct 2015. This records an increase from the previous number of 2.171 % for Sep 2015. China Other Daily Sundry Article: YoY: Total Asset data is updated monthly, averaging 9.133 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 27.530 % in Feb 2008 and a record low of 2.171 % in Sep 2015. China Other Daily Sundry Article: YoY: Total Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIM: Daily Sundry Article: Other Daily Sundry Article.

This record contains the underlying research data for the publication "China's Innovation Landscape" and the full-text is available from: https://ink.library.smu.edu.sg/lkcsb_research/3569The People's Republic of China has experienced three decades of sustained, strong annual economic growth as it transitions from a centrally planned economy to a free market. Currently the world's second largest economy, China recognizes scientific and technological innovation as an increasingly important strategy to fuel the next phase of its productivity growth. However, the drivers and trajectories of China's scientific and technological growth remain under-investigated. To understand elements of China's innovative activities, particularly in science and technology, an analysis of comprehensive patent data provided by the State Intellectual Property Office (SIPO) of China is presented here.

Selected indicators and corresponding variables of China’s economic development research.

Indicator system for county-level digital economies in China.

The research period of this paper was 2014-2021 and 11 provinces (municipalities) in the Yangtze River Economic Belt were taken as the sample. Data were obtained from the China Statistical Yearbook, China Statistical Yearbook on Environment, China Environmental Yearbook, China Social Statistical Yearbook, China Population and Employment Statistical Yearbook, and the Statistical Yearbooks of 11 provinces（municipalities）. For missing data, we estimated values according to the proportion.

The contribution of women to China’s economic growth and development cannot be overemphasized. Women play important social, economic, and productive roles in any economy. China remains one of the countries in the world with severe gender inequality and sex ratio at birth (SRB) imbalance. Severe gender inequality and disenfranchisement of girls with abnormally high sex ratios at birth reflect deep-rooted sexism and adversely affect girls’ development. For China to achieve economic growth, women should not be ignored and marginalized so that they can contribute to the country’s growth, but the sex ratio at birth needs to be lowered because only women can contribute to growth. Thus, this study empirically predicts an asymmetric relationship between gender inequality, sex ratio at birth and economic growth, using NARDL model over the period 1980–2020. The NARDL results show that increases in gender inequality and sex ratio at birth significantly reduce economic growth in both the short and long term, while reductions in gender inequality and sex ratio at birth significantly boost economic growth in both the short and long term. Moreover, the results show the significant contribution of female labor force participation and female education (secondary and higher education) to economic growth. However, infant mortality rate significantly reduced economic growth. Strategically, the study recommends equal opportunities for women in employment, education, health, economics, and politics to reduce gender disparities and thereby promote sustainable economic growth in China. Moreover, policymakers should introduce new population policy to stabilize the sex ratio at birth, thereby promoting China’s long-term economic growth.

Explanation of county-level digital economy types in China.

China Other Daily Sundry Article: YoY: Total Liability data was reported at 1.341 % in Oct 2015. This records an increase from the previous number of -15.544 % for Sep 2015. China Other Daily Sundry Article: YoY: Total Liability data is updated monthly, averaging 9.151 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 29.620 % in Feb 2008 and a record low of -15.544 % in Sep 2015. China Other Daily Sundry Article: YoY: Total Liability data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIM: Daily Sundry Article: Other Daily Sundry Article.

Types of CCD between ULEE and digital finance.

This paper aimed to accurately assess the driving effect of digital inclusive finance (DIF) on green economic growth, better implement DIF-related policies, and promote the development of green economy. Based on the urban panel data from 2011 to 2018 and the DIF index, this paper investigates the impact of DIF on economic green development and its internal mechanism. The results show that there is a significant positive U-shaped nonlinear relationship between DIF and green development. Through the robustness test of the threshold model, instrumental variable model (IV), and system generalized method of moments (SYS-GMM) model, the results are still valid. The mechanism research shows that the DIF can indirectly promote China’s green development by the coagglomeration degree of producer services and optimize and upgrade industrial structure. This study provides policy implications for developing countries around the world to achieve green development by promoting the DIF level.

This data package includes the PIIE dataset to replicate the data and charts presented in The rise of US economic sanctions on China: Analysis of a new PIIE dataset by Martin Chorzempa, Mary E. Lovely, and Christine Wan, PIIE Policy Brief 24-14.

If you use the dataset, please cite as: Chorzempa, Martin, Mary E. Lovely, and Christine Wan. 2024. The rise of US economic sanctions on China: Analysis of a new PIIE dataset, PIIE Policy Brief 24-14. Washington, DC: Peterson Institute for International Economics.

China Other Daily Sundry Article: YoY: Current Asset data was reported at -0.621 % in Oct 2015. This records a decrease from the previous number of 0.014 % for Sep 2015. China Other Daily Sundry Article: YoY: Current Asset data is updated monthly, averaging 9.642 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 29.340 % in Nov 2007 and a record low of -0.621 % in Oct 2015. China Other Daily Sundry Article: YoY: Current Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIM: Daily Sundry Article: Other Daily Sundry Article.

See the readme file inside for replication steps

With the development of China’s economy entering a new stage, the quality of life, which centers on the well-being of residents, provides an essential hand in promoting the transformation of the regional economy from high-speed development to high-quality development. Based on a panel threshold regression model, we examine in this paper whether quality of life helps regional economies realize developmental convergence. The research shows that: (1) The quality of life overall can promote regional economic development and passes the series test with relatively robust results. (2) The quality of life has a non-linear effect on regional economic growth, which is mainly manifested in the fact that the impact is more significant in regions with higher levels of quality of life and weaker in regions with lagging quality of life and may widen the gap between regions at the same time. (3) We categorize the study regions to test further regional heterogeneity based on regional location and development status. At the Quality of Life Level-I regions, their influence on economic development has a more substantial pulling effect. Therefore, each region should seize the strategic opportunity to improve the quality of life, focus on the balanced development of the quality of life, strengthen policy support and social security, and strive to promote the coordinated development of China’s regional economy.

Economic institutional change is a vital driving force behind the rapid rise of China’s economy. However, the incremental approach to economic institutional change has caused unbalanced transformation and economic growth. To this end, we adopted the entropy method to measure the economic institutional change index, and employed social network analysis to reveal its spatial correlation characteristics. We then applied QAP analysis to empirically demonstrate the impact of China’s economic institutional change on regional disparities in economic growth. The findings indicated a gradual increase in the level of economic institutions over time and a spatial gradient between the eastern, central, and western regions. Moreover, the spatial correlation network of China’s economic institutional change is stable and gradually improving. Nevertheless, the role of provinces in the process of economic institutional change varies: the eastern coastal provinces play a dominant role, the central and western provinces benefit to a lesser extent, and some provinces in northeastern China play a “bridging” and “intermediary” role. Regional differences in China’s economic institutional change have widened the regional disparities in China’s economic growth, and the impact of each dimension of economic institutions on regional disparities in economic growth is characterized by phases.