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.

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.

The Gross Domestic Product (GDP) in China expanded 4.80 percent in the third quarter of 2025 over the same quarter of the previous year. This dataset provides - China GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Nasdaq China New Economy Top 50 ESG TR (NASDAQNQCNNEWT) from 2018-03-12 to 2025-11-14 about 1 to 49, NASDAQ, China, new, and indexes.

China New Year's Day: Transport: Cross-regional Personnel Mobility: YoY data was reported at -9.100 % in 2025. China New Year's Day: Transport: Cross-regional Personnel Mobility: YoY data is updated yearly, averaging -9.100 % from Dec 2025 (Median) to 2025, with 1 observations. The data reached an all-time high of -9.100 % in 2025 and a record low of -9.100 % in 2025. China New Year's Day: Transport: Cross-regional Personnel Mobility: YoY data remains active status in CEIC and is reported by Ministry of Transport. The data is categorized under China Premium Database’s Holiday Economy – Transport.

The Gross Domestic Product (GDP) in China expanded 1.10 percent in the third quarter of 2025 over the previous quarter. This dataset provides - China GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

Iron ore and steel sectors in China show resilience despite US tariffs, driven by strong domestic demand and infrastructure needs.

Overview with Chart & Report: China Imports USD y/y reflect a percentage change in the dollar value of goods purchased by residents from non-residents in the reported period compared to the previous period. A buyer in import

Leading Economic Index China increased to 146.70 in September of 2025 over the same month in the previous year. This dataset provides - China Leading Economic Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

China New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average: YoY data was reported at 4.500 % in 2025. China New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average: YoY data is updated yearly, averaging 4.500 % from Dec 2025 (Median) to 2025, with 1 observations. The data reached an all-time high of 4.500 % in 2025 and a record low of 4.500 % in 2025. China New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average: YoY data remains active status in CEIC and is reported by National Immigration Administration. The data is categorized under China Premium Database’s Holiday Economy – Entry-Exit.

China New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average data was reported at 1,803.000 Person-Time th in 2025. This records an increase from the previous number of 1,726.000 Person-Time th for 2024. China New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average data is updated yearly, averaging 1,758.000 Person-Time th from Dec 2018 (Median) to 2025, with 6 observations. The data reached an all-time high of 1,900.000 Person-Time th in 2019 and a record low of 303.000 Person-Time th in 2023. China New Year's Day: Holiday Entry-Exit: Entry-Exit Passenger: Daily Average data remains active status in CEIC and is reported by National Immigration Administration. The data is categorized under China Premium Database’s Holiday Economy – Entry-Exit.

The digital economy, as a new economic form with high information density, provides a new driving force for the realization of high-quality agricultural development. Panel data of 31 provinces in China from 2011 to 2020 were selected for analysis. The static panel data interaction effect model and panel threshold model were used to verify the nonlinear influence mechanism and heterogeneity of financial development in the process of the digital economy affecting high-quality agricultural development. The findings are as follows. (1) During the study period, the high-quality development of China’s agriculture showed a steady upward trend; however, the regional differences were significant, and the eastern part was larger than the central and western part. (2) The digital economy can promote high-quality agricultural development. (3) The digital economy has a double threshold effect in the process of affecting high-quality agricultural development, which depends on the level of financial development. When the threshold is exceeded, the digital economy has a more significant promoting effect on high-quality agricultural development. (4) The impact of the digital economy on high-quality agricultural development is heterogeneous. From the perspective of different regions, the impact effect is greatest in the eastern region, while the effect is smaller in the central and western regions. From different resource endowments, the positive impact effect is greatest in the major grain-selling areas, followed by the major grain producing areas, but the positive digital economy driving effect is not significant in the balance of production and sales areas. Finally, three policy suggestions are proposed. First, the Chinese government should increase investments in and support for digital technology to promote the integration of the digital economy and agriculture. Second, the Chinese government should promote the development of digital inclusive finance in areas with financial development below the threshold. Third, different regions should implement differentiated digital economies to promote high-quality agricultural development.

ABSTRACT This paper reports homogenous series of the rate of surplus value for the Chinese economy over the period 1956-2015 with a Marxian approach. It finds that the rate of surplus value reached the historical peak of the whole period in 2008 and that the high profitability in the decade before the 2008 crisis had relied on the continuous growth in the rate of surplus value. It provides a time series analysis to show that the rising wage pressure and value composition of capitalhas restrained profitability since 2008. Thus, this paper interprets the so-called “new normal” of the Chinese economy as a stage of declining profitability that results mainly from the stagnant rate of surplus value and the rising value composition of capital.

In 2014, the Chinese government unveiled the New Urbanization Plan and Document No. 46, which profoundly influenced the development trajectory of the regional economy and sports industry. Using the coupling coordination model, this study aimed to assess the development progress of the sports industry and urban clusters economy. This study sampled Greater Bay Area urban clusters (GBAUC) and Yangtze River Delta urban clusters (YRDUC). The statistics covered one year after the release of the policies to date. We developed a total of 15 macro indicators to evaluate the sports industry and urban cluster economy as two distinct, yet interdependent, economic systems. Using the entropy weight method, we determined the standardized values and weights for the two systems before calculating the coupling coordination degree (D). Between 2015 and 2021, the sampled sports industry and urban clusters economy exhibited coordinated high growth across all economic metrics, with multiple sports industry metrics exhibiting double-digit growth. In 2015, both showed extreme imbalance: D of GBAUC = 0.092, D of YRDUC = 0.091. In 2017, both improved to bare coordination: D of GBAUC = 0.600, D of YRDUC = 0.566. In 2019, both reached well coordination: D of GBAUC = 0.851, D of YRDUC = 0.814. By 2021, both achieved quality coordination: D of GBAUC = 0.990, D of YRDUC = 1. This study provides the first evidence from the sports industry that China’s new urbanization model and Document No. 46 are highly effective for synergistic regional economic growth.

Data and Code for China’s New-Generation Special Economic Zones

China New Year's Day: Transport: Cross-regional Personnel Mobility: Highway data was reported at 168.550 Person-Time mn in 2025. China New Year's Day: Transport: Cross-regional Personnel Mobility: Highway data is updated yearly, averaging 168.550 Person-Time mn from Dec 2025 (Median) to 2025, with 1 observations. The data reached an all-time high of 168.550 Person-Time mn in 2025 and a record low of 168.550 Person-Time mn in 2025. China New Year's Day: Transport: Cross-regional Personnel Mobility: Highway data remains active status in CEIC and is reported by Ministry of Transport. The data is categorized under China Premium Database’s Holiday Economy – Transport.

Consumer Confidence in China increased to 89.60 points in September from 89.20 points in August of 2025. This dataset provides - China Consumer Confidence - actual values, historical data, forecast, chart, statistics, economic calendar and news.

China New Year's Day: Transport: Passenger Traffic data was reported at 128.126 Person-Time mn in 2024. This records an increase from the previous number of 86.185 Person-Time mn for 2022. China New Year's Day: Transport: Passenger Traffic data is updated yearly, averaging 107.156 Person-Time mn from Dec 2022 (Median) to 2024, with 2 observations. The data reached an all-time high of 128.126 Person-Time mn in 2024 and a record low of 86.185 Person-Time mn in 2022. China New Year's Day: Transport: Passenger Traffic data remains active status in CEIC and is reported by Ministry of Transport. The data is categorized under China Premium Database’s Holiday Economy – Transport.

China recorded a trade surplus of 90.07 USD Billion in October of 2025. This dataset provides - China Balance of Trade - actual values, historical data, forecast, chart, statistics, economic calendar and news.