The Impact of the Green Credit Policy on the Short-Term and Long-Term Debt Financing of Heavily Polluting Enterprises: Based on PSM-DID Method

Can green credit policies improve the digital transformation of heavily polluting enterprises: A quasi-natural experiment based on difference-in-differences

The digital transformation of the manufacturing industry is closely linked to green credit policies, which jointly promote the development of the manufacturing industry towards a more environmentally friendly, efficient and sustainable development. Based on the research sample of China's manufacturing A-share listed companies from 2008 to 2022, this paper uses the difference-in- differences (DID) method to analyze the impact of green credit policies on the digital transformation of heavily polluting enterprises. The results show that green credit policies significantly inhibit the digital transformation of heavily polluting enterprises. In terms of the adjustment mechanism, the R&D investment of enterprises and the financial background of senior executives have weakened the inhibitory effect of green credit policies on the digital transformation of heavily polluting enterprises. When the R&D investment is low, the inhibitory effect of the policy is more significant, but with the increase of R&D investment, the inhibitory effect of the policy gradually weakens, indicating that there is a substitution relationship between the two. Enterprises with senior financial expertise have a deeper understanding of financial feasibility and benefit analysis, and are more receptive to the high-risk investment of digital transformation, while their financial network resources can help broaden financing channels, reduce financing constraints, and further reduce the financial difficulty of digital transformation. In addition, the green credit policy has a stronger inhibitory effect on the digital transformation of non-state-owned enterprises and enterprises that do not hold bank shares. The conclusions of this paper are expected to provide some policy implications for the subsequent green credit policies in promoting the digital transformation of the manufacturing industry.

The impact of green credit legislation on business financing: Insights from Chinese polluting firms

Introducing sustainable credit protection by companies depends on eco-friendly funding that accelerate businesses' technical development and transformation. This study investigates the sustainable financing roles through green credit legislation which impacted state owned enterprises and non state owned enterprises. We have investigated our hypothesis using the Propensity Score Matching Difference-in-Differences (PSM-DID) model. For this purpose we collected data of businesses listed on the Shanghai and Shenzhen stock exchanges that are country's most polluting publicly listed enterprises between 2009 and 2021. The results of the study reveals that liquid Finance and industrial Credit experienced a meteoric rise while the use of illiquid debt financing has dropped significantly among highly polluting organizations. This pattern has intensified after China introduced its "sustainable credit guidelines." Additionally, businesses in areas with lower sustainable development indices are more likely to feel the consequences of sustainable credit programs. However, there is still a need for prudent capital flow allocation in response to the personalized financing preferences resulting from the sustainable credit policy at the business level, even if China's sustainable credit rules have unquestionably reduced the use of illiquid debt financing by severely polluting enterprises. Policy implications include improving the direction signalled to these businesses via sustainable funding.

An evaluation of the impact of China's green credit policy on different pathways using a CGE model

The objective of the study was to quantitatively analyze the heterogeneous effects of different green credit implementation methods on energy, environmental, and economic systems by developing a computable general equilibrium model. The specific green credit implementation methods are divided into interest-penalty policy for energy-intensive industries and interest preferential policy for green industries. Various approaches to implementing green credit can lead to distinct impacts on energy consumption, environmental outcomes, and economic performance. Green credit policy experiments are carried out utilizing short-, medium-, and long-term scenarios to investigate how the consequences of green credit policies evolve. The findings demonstrate that (1) implementing a penalty interest policy for energy-intensive industries can have substantial short-term environmental effects, cutting total demand for fossil energy and lowering carbon dioxide emissions significantly. As the cycle progresses, this effect will progressively fade and have a negative economic impact. (2) The interest preferential policy for the green industry has a significant promoting effect on green technology, and its energy and environmental effects will be reflected in the long term, and the effect will continue to increase, which has a positive promoting effect on the economy. (3) There are significant differences in the policy effects brought about by the different implementation methods of green credit policies. Both policies can positively affect social energy and the environment, but the effect cycles are different. When two types of interest policies are implemented in the economy, the negative economic effect of the penalty interest policy is greater than the positive effect of the preferential interest policy, which harms the macroeconomy. These conclusions will provide theoretical and practical references for the government and banks to choose a better green credit implementation path.

Research on the development strategy selection of the new energy vehicle industry from the perspective of green credit-Based on the foursquare evolutionary game analysis

Developing new energy vehicles is vital to promote green development and the harmonious coexistence of humans and nature. It is also the only way to help China move from a significant automobile country to a powerful automobile country. Based on the background of the "recession" of government subsidies and considering the importance of green credit in promoting green and low-carbon transformation, this paper constructs a four-party evolutionary game model that includes government, automotive companies, banks, and consumers to analyze the stability of the strategic choices of various parties in the development process of the new energy vehicle industry. It uses MATLAB simulation tools to analyze the impact of relevant factors on system stability. The research shows that: (1) The government's subsidy mechanism significantly promotes the development of the new energy vehicle industry. Still, there is a subsidy threshold, beyond which the effect will weaken and quickly bring financial pressure. (2) With the gradual decline of government subsidies, the bank's green credit policy has a specific policy complementary effect on the decline of government subsidies. (3) Considering that costs and benefits are the main influencing factors for automotive companies and consumers' strategic choices, the impact of factors such as the punishment of violations, adjustment of subsidy policies, and consumers' environmental awareness must also be paid attention to.

Does the greening of the tax system promote the green transformation of China's heavily polluting enterprises?

Climate change and pollution are the major environmental problems facing the world today. The emission of industrial pollution is not only related to the development of low carbon and green economy but also affects the ecological environment and climate change of human beings. The greening of the tax system is an important reform to help China's green development. From the perspective of internal green innovation and external legal pressure of heavily polluting enterprises, this paper discusses the impact mechanism of implementing the greening of the tax system on the green transformation of heavily polluting enterprises in China and uses DID model to conduct a quasi-natural experiment on the green transformation of heavily polluting enterprises in China. This paper finds that the implementation of the greening of the tax system has a significant impact on the green transformation of China's heavily polluting enterprises; the greening of the tax system policy realizes the "win-win" situation of green environmental governance and the development of heavily polluting enterprises through green technology innovation and forces heavily polluting enterprises in China to conduct environmental protection through the environmental legitimacy pressure. The effect of the greening of the tax system policy has obvious heterogeneity: The greening of the tax system has a more obvious improvement effect on heavily polluting enterprises with low and high market concentration. Compared with state-owned holding enterprises, non-state-owned holding enterprises are more significantly affected by the greening of the tax system. The positive impact of the greening of the tax system on the green transformation of heavily polluting enterprises is mainly reflected in enterprises with low financing costs, while it is not significant in enterprises with high financing costs. This paper enriches the research on the effect of green tax policy, explores solutions based on quasi-nature, and provides policy references for the green transformation of heavily polluting enterprises.

How can green credit decrease social health costs? The mediating effect of the environment

Green credit plays an important role in environmental protection and residents' health. This paper discusses the impact path of green credit on social health costs with the help of a quantile regression. The implementation of a green credit policy can decrease social health costs in China, and green credit works best in the economically developed Eastern region. As the quantile increases, so gradually does the absolute value of the green credit coefficient. This result proves that for provinces with rich per capita financial health expenditures, green credit plays a greater role in decreasing social costs, a conclusion also supported by our robustness test. In addition, we find that environmental pollution plays a mediating role in the path of green credit affecting health, and this finding is verified in the green credit and health general equilibrium model. Based on these findings, the government should encourage the active innovation of green credit products, and the banking industry should develop personalized green credit products for specific pollutant types or industries while decreasing government pressure.

Value-Based Health Care: Long-Term Care Insurance for Out-of-Pocket Medical Expenses and Self-Rated Health

Long-term care insurance (LTCI) is a significant approach in the effort to actively manage aging and the currently unmet need for aged care in China. Based on data from the 2011, 2013, 2015, and 2018 phases of the China Health and Retirement Longitudinal Study, we used the propensity score matching-difference in difference (PSM-DID) approach to explore the impact of LTCI on out-of-pocket medical expenses and self-rated health. Results showed that LTCI can significantly reduce out-of-pocket medical expenses by 37.16% (p < 0.01) per year and improve self-rated health by 5.73% (p < 0.01), which conforms to the spirit of “value-based health care”. The results were found to be stable in the robustness tests conducted. Currently, China is at the intersection of “low-value-based health care” and “value-based health care”. Improving the health level of aged individuals while keeping medical costs under reasonable control is crucial for formulating and implementing a new round of healthcare reform in China.