The use of green finance to slow down global warming in support of sustainable development remains widely discussed. This study examines whether investment structure moderates the impact of green finance on the environment in China, one of the top carbon-emitting nations and the second-largest economy in the world. We primarily used the moments-quantile regression approach with fixed-effect models on panel data from 1992Q1 to 2020Q4. First, the results confirmed that green finance and public and private investments worked synergistically to lower CO2 emissions, especially in Central and Western China. However, there was no proof that green finance and foreign direct investment were complementary in reducing CO2 emissions in China, unlike the Central region. Second, green finance marginally lowered CO2 emissions in all provinces, mainly in Eastern and Western China; this reduction was largely dependent on private investment in the Western region’s most polluting areas and foreign direct investment in Eastern and Western China’s least polluting provinces. Third, the beneficial effect of green finance occurred at varying optimal thresholds and investment-related conditions across Chinese regions at different quantiles. Lastly, we showed that in contrast to the variable impacts of urbanization, oil prices, and economic growth across Chinese regions at different quantiles, renewable energy, and trade openness reduced CO2 emissions. In conclusion, the study makes some policy recommendations for China’s sustainable economic development, an important model from which other countries can tailor their investment strategies and environmentally friendly policies.

Fighting global warming has become a vital requirement for environmental sustainability. Green finance has gained popularity as a promising mechanism for transitioning to a lowcarbon economy. Thus, this paper investigates whether excess green financing increases renewable energy capacities and enhances environmental quality from 1992Q1 to 2020Q4 in China, one of the major CO2 emitters. We primarily used the method of moments-quantile regression with fixed-effect models. First, we found nonlinear U-shaped impacts of green finance on wind power capacities in all Chinese regions, thermal power capacities in the Western and Central areas, and hydropower capacities in Eastern China, respectively. Second, we confirmed an inverted U-shaped impact of green finance on CO2 emissions in the Eastern region but U-shaped effects in the Western and Central regions. The impacts of green finance were asymmetrical due to the heterogeneous distributions of renewable energy sources and environmental quality within and between regions. Green finance mostly improved environmental quality when certain conditions and thresholds were met. Third, green finance had substantial marginal effects on environmental quality in the least polluted provinces (Q.20) in Western China and the most polluted provinces (Q.80) in Eastern China. Finally, there were heterogeneous effects of oil prices, urbanization, foreign direct investments, and trade openness on renewable energy consumption and environmental quality across Chinese provinces. Accordingly, this study provides some policy recommendations for China’s sustainable development, a key example from which the international community can adjust its green policies.

This paper examines whether a government can play an important role in determining a firm’s related party transactions associated with tunnelling. Through the lens of political turnover in 31 Chinese provinces for 2000-2018, we show that political turnover is negatively associated with state-owned enterprises’ (SOEs’) related party transactions (RPTs) but has no impact on non-SOEs’. Political turnover engenders uncertainty to SOEs, which curtail tunnelling-related RPTs. We identify two channels – corruption and policy-induced RPTs – leading political turnover to reduce RPTs. Corruption RPTs fall more significantly in highly corrupt provinces and before the 2012 anti-corruption campaign. Policy RPTs of SOEs with delisting risk and in high public debt provinces decrease considerably. Financially constrained firms, older officials and within-province appointments diminish the impact of political turnover on RPTs. On average, the fall in RPTs starts a year before a political turnover and ends a year after.

We study the impact of directors with foreign experience on firms in emerging markets. To establish causality, we use a unique dataset from China and exploit that at different times, Chinese provinces introduced policies to attract highly talented emigrants. These policies led to an exogenous increase in the supply of Chinese individuals with foreign experience in the local labor market and ultimately increased the likelihood that firms in these provinces had directors with foreign experience in comparison to firms with a similarly high demand for these skills elsewhere. We document that hiring directors with foreign experience results in higher firm valuation, productivity, and profitability. Furthermore, corporate governance improves and firms are more likely to make international acquisitions, to export, and to raise funds internationally. These results indicate that the transfer of knowledge to emerging markets occurs not only through foreign investment, but also through labor flows and, in particular, return migration.

We investigate the role played by institutional development in the prevalence and value of family firms, while controlling for the potential effect of cultural norms. China provides a good research lab since it combines great heterogeneity in institutional development across the Chinese provinces with homogeneity in cultural norms, law, and regulation. Using hand-collected data from publicly listed Chinese firms, we find that, when institutional efficiency is low, family ownership and management increase value, while family control in excess of ownership reduces value. When institutional efficiency is high, none of these effects are significant.