According to a median projection in October 2025, China's GDP was expected to grow by *** percent in 2025. In the first quarter of 2020, the second-largest economy recorded the first contraction in decades due to the epidemic.  A root-to-branch shutdown of factories To curb the spread of the virus, the Chinese government imposed a lockdown in Wuhan, the epicenter, and other cities in Hubei province on January 23, 2020. A strict nationwide lockdown soon followed. Many factories remained closed in February, resulting in a plunge in manufacturing Purchasing Managers' Index (PMI). The shutdown of the “world’s factory” had severely disrupted global supply chains, especially automobile production. In March 2020, very few industrial sectors reported positive production growth.  The pharmaceuticals sector recorded a production increase, which was mainly driven by the global demand for vital medical supplies. China had exported over seven billion yuan worth of face masks. Ripple effects on global tourism Apart from the manufacturing industry, the prolonged closures of business had caused significant losses in various sectors in China. The travel and tourism sector was massively affected by a drastic decline in flight ticket sales  and hotel occupancy rates. The domestic tourism market expects a loss of 20 percent in revenues for 2020. Industry experts predicted that the global travel and tourism industry could lose about *** trillion U.S. dollars in that year. 

The Global Financial Crisis (2007-2008), which began due to the collapse of the U.S. housing market, had a negative effect in many regions across the globe. The global recession which followed the crisis in 2008 and 2009 showed how interdependent and synchronized many of the world's economies had become, with the largest advanced economies showing very similar patterns of negative GDP growth during the crisis. Among the largest emerging economies (commonly referred to as the 'E7'), however, a different pattern emerged, with some countries avoiding a recession altogether. Some commentators have particularly pointed to 2008-2009 as the moment in which China emerged on the world stage as an economic superpower and a key driver of global economic growth. The Great Recession in the developing world While some countries, such as Russia, Mexico, and Turkey, experienced severe recessions due to their connections to the United States and Europe, others such as China, India, and Indonesia managed to record significant economic growth during the period. This can be partly explained by the decoupling from western financial systems which these countries undertook following the Asian financial crises of 1997, making many Asian nations more wary of opening their countries to 'hot money' from other countries. Other likely explanations of this trend are that these countries have large domestic economies which are not entirely reliant on the advanced economies, that their export sectors produce goods which are inelastic (meaning they are still bought during recessions), and that the Chinese economic stimulus worth almost 600 billion U.S. dollars in 2008/2009 increased growth in the region.

Graph and download economic data for Balance of Payments: Total Net Current Account for China, P.R.: Mainland (CHNBCAGDPBP6PT) from 1997 to 2029 about current account, BOP, China, and Net.

China: Trade openness: exports plus imports as percent of GDP: The latest value from 2024 is 37.2 percent, an increase from 36.11 percent in 2023. In comparison, the world average is 92.80 percent, based on data from 133 countries. Historically, the average for China from 1960 to 2024 is 27.87 percent. The minimum value, 4.83 percent, was reached in 1970 while the maximum of 63.57 percent was recorded in 2006.

According to preliminary figures, the growth of real gross domestic product (GDP) in China amounted to 5.0 percent in 2024. For 2025, the IMF expects a GDP growth rate of around 4.8 percent. Real GDP growth The current gross domestic product is an important indicator of the economic strength of a country. It refers to the total market value of all goods and services that are produced within a country per year. When analyzing year-on-year changes, the current GDP is adjusted for inflation, thus making it constant. Real GDP growth is regarded as a key indicator for economic growth as it incorporates constant GDP figures. As of 2024, China was among the leading countries with the largest gross domestic product worldwide, second only to the United States which had a GDP volume of almost 29.2 trillion U.S. dollars. The Chinese GDP has shown remarkable growth over the past years. Upon closer examination of the distribution of GDP across economic sectors, a gradual shift from an economy heavily based on industrial production towards an economy focused on services becomes visible, with the service industry outpacing the manufacturing sector in terms of GDP contribution. Key indicator balance of trade Another important indicator for economic assessment is the balance of trade, which measures the relationship between imports and exports of a nation. As an economy heavily reliant on manufacturing and industrial production, China has reached a trade surplus over the last decade, with a total trade balance of around 992 billion U.S. dollars in 2024.

China Service Charges: 36 City Avg: Taxi: Common: Flag-fall Price data was reported at 9.810 RMB/Times in Jul 2024. This stayed constant from the previous number of 9.810 RMB/Times for Jun 2024. China Service Charges: 36 City Avg: Taxi: Common: Flag-fall Price data is updated monthly, averaging 9.130 RMB/Times from Jan 2012 (Median) to Jul 2024, with 151 observations. The data reached an all-time high of 9.810 RMB/Times in Jul 2024 and a record low of 7.630 RMB/Times in Mar 2012. China Service Charges: 36 City Avg: Taxi: Common: Flag-fall Price data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PA: Price Monitoring Center, NDRC: 36 City Monthly Avg: Service Charges.

Plummeting commodity prices, China’s economic malaise, and global financial market turbulence have recently wreaked havoc on African economies. This paper investigates whether, and to what extent, these intertwined shocks spillover into the Tanzanian economy. The author finds that a 1 percentage point (ppts) drop in China’s investment growth is associated with a decline in Tanzania’s export growth of roughly 0.60 ppts. A 1 percent fall in commodity prices leads to 0.65 percent lower exports value. The results suggest that a hard landing of the Chinese economy to its ‘new normal’ would doubtless send shock waves through the Tanzanian economy by further driving down commodity demand and prices as well as lowering development finance. In contrast, financial market volatility has a fairly negligible impact on economic growth. The main results stand up well to a wide-array of robustness checks.

Key information about China Foreign Direct Investment: % of GDP

• China Foreign Direct Investment (FDI) registered a fall equal to 0.2 % of the country's Nominal GDP in Sep 2024, compared with a fall equal to 0.3 % in the previous quarter.
• China Foreign Direct Investment: % of Nominal GDP data is updated quarterly, available from Mar 1998 to Sep 2024.
• The data reached an all-time high of 6.8 % in Dec 2006 and a record low -0.3 % in Jun 2024.

CEIC calculates Foreign Direct Investment as % of Nominal GDP from quarterly Foreign Direct Investment and quarterly Nominal GDP. The State Administration of Foreign Exchange provides Foreign Direct Investment in USD. The National Bureau of Statistics provides year-to-date Nominal GDP in local currency. Federal Reserve Board average market exchange rate is used for currency conversions.


Related information about China Foreign Direct Investment: % of GDP

• In the latest reports of China, Current Account recorded a surplus of 147.6 USD bn in Sep 2024.
• Foreign Direct Investment (FDI) fell by 8.3 USD bn in Sep 2024.
• China Direct Investment Abroad expanded by 34.5 USD bn in Sep 2024.
• Its Foreign Portfolio Investment increased by 24.0 USD bn in Sep 2024.
• The country's Nominal GDP was reported at 4,166.8 USD bn in Mar 2023.

Replication material for the paper "The Decline of Age-Friendly Jobs in China: Evidence from Online Job Vacancies" submitted to Economic Modelling

China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

This statistic shows the forecasted declines in the Chinese economy and employment affected by the U.S. **% tariffs on commodities imported from China in 2018, by category. It was estimated that if the Unites States imposed ** percent taxes on products of Chinese origin, the exports from China to the U.S. would decline by ** percent.

Foreign Direct Investment YoY in China decreased by 10.30 percent in October from -10.40 percent in September of 2025. This dataset includes a chart with historical data for China Foreign Direct Investment YoY.

The government shutdown has delayed crucial financial aid for US soybean farmers, who are facing massive economic losses due to tariffs and collapsed Chinese markets, with proposed bailouts called insufficient.

In recent years, China ‘s major cities set off a climax of subway construction, but also brought an endless stream of safety accidents. In order to analyze the impact of the evolution process of urban subway construction collapse disaster on residents ‘ life and social economy, by collecting typical cases of subway construction collapse disaster, combined with disaster chain and complex network theory, the network model of subway construction collapse disaster chain is constructed, and the key node events and key propagation paths are analyzed. Based on this, targeted chain-breaking disaster reduction measures are proposed. The results show: the collapse disaster chain of urban subway construction can be divided into early, middle and late stages of disaster evolution. Through the destruction of collapse, underground pipeline rupture, road damage, affecting the lives of residents and building damage and other key nodes or cut off the collapse →  underground pipeline rupture, road damage →  traffic paralysis, collapse →  building damage, construction technology is not standardized →  collapse, construction equipment failure →  collapse and other key effects are significant. The relevant research results can provide a knowledge map for effectively coping with the collapse disaster chain of urban subway construction, identify key nodes and propagation paths, and establish strategies for emergency response and chain-breaking disaster reduction.

Here is a concise and professional Zenodo dataset description based on your paper, suitable for use as the metadata summary:

Title:
Uncertainty Is Not What It Used to Be: EPU and the Collapse of Classical Risk Logic

Description:
This dataset accompanies the study "Regime-Contingent Uncertainty Pricing: Strategic Risk, Liquidity, and Political Shocks," which develops a theory of regime-dependent pricing of economic policy uncertainty (EPU) in U.S. equity markets. Using monthly data from 2009 to 2025, the analysis identifies nonlinear shifts in the EPU-return relationship during two major political-economic shocks: the COVID-19 pandemic and the 2025 U.S.–China Trade War. The study demonstrates that EPU effects on asset prices are not time-invariant but depend on macro-regime context, investor behavior, and liquidity conditions.

The repository includes:

• Monthly return data for SPDR S&P 500 ETF (SPY)

• U.S. Economic Policy Uncertainty Index (EPU) data

• Python scripts for data processing, OLS estimation, and Markov-switching modeling

• Figures and tables illustrating regime dynamics

• A complete README with replication instructions

Key Contributions:

• Demonstrates that financial market responses to EPU invert during structural crises (e.g., COVID-19) and revert during politically driven uncertainty (e.g., Trade War)

• Advances dynamic capabilities and institutional theory by modeling uncertainty sensitivity as regime-contingent

• Introduces the concept of "reactivated uncertainty sensitivity," emphasizing the return of classical risk pricing under renewed political stress

Keywords:
Economic Policy Uncertainty (EPU), regime switching, COVID-19, U.S.–China Trade War, Markov switching model, strategic foresight, uncertainty pricing, institutional theory

License:
CC BY 4.0 – Openly available for reuse and replication

Weight assignment of edges in the complex network of urban subway construction collapse disaster.

This study investigates the impact of digital transformation on the liquidity creation among banks in China, focusing on 127 commercial banks from 2010 to 2021. The research is driven by the observed decline in the real economy function of China’s financial services in recent years. To analyze this trend, the study employs a panel fixed effect model and an intermediary effect test model. The findings indicate that the implementation of digital transformation in the banking sector resulted in a significant enhancement in liquidity generation. The intermediary transmission pathways through which digital transformation influences liquidity creation include optimization of loan loss provision, enhancement of risk tolerance, and mitigating financial disintermediation. Furthermore, the research indicates that the relationship between digital transformation and liquidity generation varies across banks operating in different contexts.

Aston Martin forecasts deeper losses due to US tariff quotas, weakness in key markets like China and North America, and broader economic headwinds, causing significant stock decline.

From the Summer of 2007 until the end of 2009 (at least), the world was gripped by a series of economic crises commonly known as the Global Financial Crisis (2007-2008) and the Great Recession (2008-2009). The financial crisis was triggered by the collapse of the U.S. housing market, which caused panic on Wall Street, the center of global finance in New York. Due to the outsized nature of the U.S. economy compared to other countries and particularly the centrality of U.S. finance for the world economy, the crisis spread quickly to other countries, affecting most regions across the globe. By 2009, global GDP growth was in negative territory, with international credit markets frozen, international trade contracting, and tens of millions of workers being made unemployed.

Global similarities, global differences

Since the 1980s, the world economy had entered a period of integration and globalization. This process particularly accelerated after the collapse of the Soviet Union ended the Cold War (1947-1991). This was the period of the 'Washington Consensus', whereby the U.S. and international institutions such as the World Bank and IMF promoted policies of economic liberalization across the globe. This increasing interdependence and openness to the global economy meant that when the crisis hit in 2007, many countries experienced the same issues. This is particularly evident in the synchronization of the recessions in the most advanced economies of the G7. Nevertheless, the aggregate global GDP number masks the important regional differences which occurred during the recession. While the more advanced economies of North America, Western Europe, and Japan were all hit hard, along with countries who are reliant on them for trade or finance, large emerging economies such as India and China bucked this trend. In particular, China's huge fiscal stimulus in 2008-2009 likely did much to prevent the global economy from sliding further into a depression. In 2009, while the United States' GDP sank to -2.6 percent, China's GDP, as reported by national authorities, was almost 10 percent.

Consumer Price Index CPI in China increased to 103.20 points in April from 103.10 points in March of 2025. This dataset provides - China Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.