Jinxian Wang

Recent research has increasingly focused on how digital finance influences corporate greenwashing. Leveraging a panel dataset of Chinese A‐share listed companies from 2011 to 2020, this paper investigates the impact and transmission mechanisms of digital finance on corporate greenwashing behavior. Our findings reveal a positive relationship between digital finance and greenwashing. This effect is particularly pronounced in non‐state‐owned enterprises, loss‐making enterprises, companies operating in highly competitive markets, and those with weaker information transparency. Regarding the underlying mechanism, we identify financialization and financing constraints as the pathways through which digital finance operates to influence corporate greenwashing, with the former imposing a larger effect. These findings underscore the need to guide the utilization of digital finance toward reallocating resources from financialization to environmental protection projects, thereby fostering long‐term sustainable development.

Background/Objective: While positive emotions enhance productivity, little is known about whether income inequality will decrease if low-income individuals become happier. Methods: Relying on data from China Family Panel Studies (CFPS) from 2010 to 2018 and a regression-based decomposition method, this study investigates the contribution of happiness gap to income inequality. Results: The results show that a 1% increase in happiness leads to a 0.064–0.124% increase in income. This study employs average daily sunshine hours as an instrumental variable for happiness. The results from the two-stage least squares estimation also support the conclusion that an increase in happiness can lead to higher income. The decomposition results show that the happiness gap increases income inequality, although its contribution has decreased between 2010 and 2018. This positive effect is attributed to gaps in physical health and spare time devoted to learning. More precisely, happiness improves physical health among the upper-middle-income group and promotes spare time devoted to learning in the high-income group. Conversely, happiness narrows income inequality by reducing psychological stress in the low-income group. Conclusions: The results suggest that the enhancement of residents’ sense of acquisition, satisfaction and happiness, especially among the low-income group, thereby reducing income inequality.

The assessment of environmental and health impacts stemming from sports mega-events plays an important role in evaluating the overall cost–benefit of the events. This study utilizes microdata sourced from the China Household Income Project in conjunction with a time-varying difference-in-differences methodology. Through this approach, we estimated the impact of the 2010 Guangzhou Asian Games on both air quality and public health conditions within China. The results reveal the following: (1) The Games wield substantial and favorable effects on self-perceived health; (2) The primary avenue through which the Games improve self-perceived health is by mitigating air pollution levels in the cities associated with the Games; (3) The cost–benefit analysis unveils that hosting the Games has led to a reduction of 1103.12 million RMB in residents’ medical expenses, with the improved air quality accounting for 20.15% of the cost reduction.

This article investigates the redistributive effects of government and private transfers on income inequality in China, based on data from China Family Panel Studies (CFPS) during 2012–2020. The results indicate that, first, both government and private programs have inequality‐reducing effects and the effect from the government is much larger. More specifically, old‐age pensions have the largest inequality‐reducing effect, followed by government subsidies, private transfers, and charity donations. In urban areas, old‐age pensions have larger redistributive effects, while in rural areas, government subsidies, private transfers, and charity donations contribute to lower inequality. However, compensation for land expropriation and housing demolishment is inequality‐increasing. Moreover, the redistributive effects of the transfers are highly driven by their budget size rather than their targeting.