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.

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.

In May 2025, the index for consumer confidence in China ranged at ** points, up from **** points in the previous month. The index dropped considerably in the first half of 2022 and performed a sideways movement during 2023 and 2024. Consumer confidence Index The consumer confidence index (CCI), also called Index of Consumer Sentiment (ICS) is a commonly used indicator to measure the degree of economic optimism among consumers. Based on information about saving and spending activities of consumers, changes in business climate and future spending behavior are being projected. The CCI plays an important role for investors, retailers, and manufacturers in their decision-making processes. However, measurement of consumer confidence varies strongly from country to country. As consumers need time to react to economic changes, the CCI tends to lag behind other indicators like the consumer price index (CPI) and the producer price index (PPI). Development in China As shown by the graph at hand, confidence among Chinese consumers picked up since mid of 2016. In October 2017, the CCI hit a record value of 127.6 index points and entered into a sideward movement. Owing to a relative stability in GDP growth, a low unemployment rate, and a steady development of disposable household income, Chinese consumers gained more confidence in the state of the national economy. Those factors also contribute to the consumers’ spending power, which was reflected by a larger share of consumption in China’s GDP. After the outbreak of the coronavirus pandemic, consumer confidence dropped quickly in the beginning of 2020, but started to recover in the second half of the year, leading to a v-shaped movement of the index in 2020.

Housing markets are often characterized by price bubbles, and governments have instituted policies to stabilize them. Under this circumstance, this study addresses the following questions. (1) Does policy tightening change expectations in housing prices, revealing a regime change? (2) If so, what determines the housing market’s reaction to policy tightening? To answer these questions, we examine the effects of policy tightening that occurred in 2016 on the Chinese housing market where a price boom persisted in the post-2000 period. Using a log-periodic power law model and employing a modified multi-population genetic algorithm for parameter estimation, we find that tightening policy in China did not cause a market crash; instead, shifting the Chinese housing market from faster-than-exponential growth to a soft landing. We attribute this regime shift to low sensitivity in the Chinese housing market to global perturbations. Our findings suggest that government policies can help stabilize housing prices and improve market conditions when implemented expediently. Moreover, policymakers should consider preparedness for the possibility of an economic crisis and other social needs (e.g., housing affordability) for overall social welfare when managing housing price bubbles.

The global rigid crash barrier market is experiencing robust growth, driven by increasing infrastructure development, stringent road safety regulations, and rising government investments in transportation infrastructure improvements worldwide. The market size in 2025 is estimated at $8 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the expansion of highway networks and the construction of new roads, particularly in developing economies, creates significant demand for crash barriers. Secondly, the increasing awareness of road safety and the implementation of stricter regulations mandating the installation of these barriers are boosting market expansion. Furthermore, technological advancements leading to the development of more durable, cost-effective, and aesthetically pleasing barrier systems are driving adoption. Different material types, such as metal and concrete, cater to various application needs and budget considerations, contributing to the market's diversity. The market segmentation reveals strong growth across various applications, with highways and mountain roads representing significant segments. While metal crash barriers currently dominate the market due to their versatility and cost-effectiveness, concrete barriers are gaining traction owing to their superior strength and durability in high-impact scenarios. Geographic analysis indicates strong growth potential in Asia-Pacific, particularly in rapidly developing economies like India and China, driven by large-scale infrastructure projects. North America and Europe maintain substantial market shares due to established infrastructure and stringent safety standards. However, competitive pressures from numerous established and emerging players are shaping the market landscape. Companies like YNM Safety, G R Infraprojects, and others are actively involved in innovation and strategic partnerships to enhance their market presence and meet the growing demand for high-performance rigid crash barriers. The forecast period of 2025-2033 anticipates continued expansion, with market growth further influenced by evolving safety regulations, advancements in barrier design, and overall economic growth in key regions.

Housing markets are often characterized by price bubbles, and governments have instituted policies to stabilize them. Under this circumstance, this study addresses the following questions. (1) Does policy tightening change expectations in housing prices, revealing a regime change? (2) If so, what determines the housing market’s reaction to policy tightening? To answer these questions, we examine the effects of policy tightening that occurred in 2016 on the Chinese housing market where a price boom persisted in the post-2000 period. Using a log-periodic power law model and employing a modified multi-population genetic algorithm for parameter estimation, we find that tightening policy in China did not cause a market crash; instead, shifting the Chinese housing market from faster-than-exponential growth to a soft landing. We attribute this regime shift to low sensitivity in the Chinese housing market to global perturbations. Our findings suggest that government policies can help stabilize housing prices and improve market conditions when implemented expediently. Moreover, policymakers should consider preparedness for the possibility of an economic crisis and other social needs (e.g., housing affordability) for overall social welfare when managing housing price bubbles.

Purchasing fixed income exchange traded fund (ETF) products was the preferred option of professional investors in China to manage periods of heightened market volatility, such as the economic crash caused by the global coronavirus (COVID-19) pandemic in **********. In a 2021 survey, just over half of respondents from Greater China cited this as their top strategy. This was also the top response in the United States, but only the second most popular among European investors.

This paper analyzes the causes of equity pledge, external conduction mechanisms, and economic consequences from the perspective of insurance participation by integrating insurance participation, equity pledge, and stock price crash risk into a unified framework. An empirical analysis of sample data from listed companies in Shanghai and Shenzhen between 2007–2021, indicates that equity pledge reduces the risk of collapse as companies hedge the risk induced by the equity pledge. Further research has revealed that insurance participation can mitigate stock price crash risk brought by equity pledge through a regulatory effect, which is more pronounced for private companies and those with a high shareholding ratio, and companies in manufacturing industry. This is because private companies have a higher demand for capital as their property rights are not state-owned, the degree of separation of powers and agency conflicts is greater in companies held by large shareholders, manufacturing companies usually have stable earnings and cash flow performance, and the financial support provided by insurers for equity pledges at risk can effectively reduce the risk of their collapse.