No abstract

China’s economy has developed rapidly since the reform and opening up, but under the long-term traditional extensive development model, energy consumption is excessive and carbon emissions rank first in the world. Therefore, how to reduce carbon emissions is a current hot issue in China. Although many scholars have found that green finance is the basic driving force to promote carbon emission reduction, its role path is diverse, and it still needs to be explored in width and depth. Especially in the green transformation stage of the economy, the potential unemployment risk is also a matter of concern. This study selects 30 provincial panel data from the Chinese mainland for the 2004–2019 years to investigate the impact of green finance on carbon emissions from the perspective of unemployment using ordinary least square (OLS), generalized method of moments (GMM), and mediating effect models. In addition, in order to avoid the bias of regression results caused by the cross-section dependence of the data, the feasible generalized least squares (FGLS) and the panel-corrected standard errors (PCSE) models are used for the robust test after correction. The findings show that 1) green finance has a significant inhibitory impact on carbon emissions; 2) green finance has significantly reduced the unemployment rate; 3) carbon emissions increase significantly with increasing the unemployment rate; and 4) there is regional heterogeneity in the effect of green finance on carbon emissions in eastern, central, and western China. Green finance in the eastern and central regions significantly inhibits carbon emissions, especially in the central region, while insignificantly in the western region. 5) According to the OLS and mediating effect regression results, economic growth and environmental regulation play a significant positive role in promoting carbon emissions. This study has theoretical reference significance for accelerating the realization of the dual carbon goal and alleviating phased unemployment.

The pig industry is primarily a domestic industry in China is focused on ensuring the domestic pork supply. This paper analyzed changes in Chinese pork imports following the outbreaks of African Swine Fever (ASF) and COVID-19 between January 2017 to November 2020 and evaluated the impact of imported pork on the development of the swine industry in China. The results demonstrated that the shortage of domestic pork supply changed the import volume. ASF transformed imported pork from a complementary product to meet the diversified needs of domestic consumers into a critical substitute required to fill the supply gap. Following the COVID-19 outbreak, the substitution effect of imported pork decreased. ASF, has caused the supply capacity of pork in China to decrease, the price of pork to increase, leading to increased pork import in January 2019. At the end of 2019, pig slaughter decreased, while China cut tariffs on imported pork. The COVID-19 outbreak did not reduce China's pork imports in China, which declined after the global COVID-19 outbreak. Imported pork has made up for the supply gap during COVID-19, not impacting the level of production of the swine industry in China.

The rapid growth experienced by the Gulf Council countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates) has placed significant strain on their ecological footprint due to extensive energy consumption. Consequently, it becomes necessary to examine the factors contributing to the high ecological footprint and explore potential solutions for its reduction. This study aims to analyze the key factors influencing the ecological footprint in the GCC countries from 1995 to 2020. Through an extensive review of existing literature, it is evident that economic growth, urbanization, and trade can disturb ecological balance, while environmental technology and renewable energy offer potential remedies for environmental challenges. Thus, these variables have been selected as independent factors for investigation. The results obtained from advanced panel techniques emphasize the significance of adopting environmental technologies and increasing the utilization of renewable energy sources in order to decrease the ecological footprint. Conversely, economic growth, urbanization, and trade are identified as crucial drivers of environmental degradation. Considering that the GCC countries heavily rely on oil and petroleum exports, as well as non-renewable energy sources for their economic activities, the positive relationship between economic growth and trade is to be expected. The results propose multifold recommendations: (i) providing incentives for renewable energy and (ii) prioritizing the implementation of clean technology over traditional technologies.

This paper uses technological innovation as a mediating variable, based on 30 provincial panel data in China from 2011 to 2019, and uses the spatial Durbin model to study the spatial effect of green finance on PM2.5. It is found that the development of green finance not only inhibits local PM2.5 emissions, but also drives the development of green finance in the surrounding areas through the spillover effect of green finance, thereby inhibiting PM2.5 emissions in the surrounding areas. Through empirical research, this paper also finds that technological innovation has a significant mediating effect on the reduction of PM2.5 by green finance. At the key stage of green transformation in China, green finance can optimize the allocation of financial resources and provide financial support for technological innovation of enterprises, thereby reducing energy consumption and pollution emissions through technological innovation and ultimately inhibiting PM2.5. This study links green finance and PM2.5 from the perspective of space, and explores the channels to improve air quality in China, which is conducive to accelerating the green transformation of China 's economy and improving the human living environment.