Green credit and high-quality sustainable development of banks

Ding, Lei; Zhuang, Yaming; Jiang, Shuyun

doi:10.1007/s11356-022-21438-w

Cited by 19 publications

(7 citation statements)

References 19 publications

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“…It can also promote green technological innovation (Hong et al, 2021;Hu et al, 2021;Yu et al, 2021) and industrial structure upgrading (Xu et al, 2018;Li et al, 2020). At the micro level, green credit can significantly improve the financial performance (Lian et al, 2022;Xi et al, 2022) and high-quality development (Ding et al, 2022) of commercial banks, helping to improve the quality and efficiency of credit services. In addition, green credit has a clear dual impact on enterprise financing.…”

Section: Literature Reviewmentioning

confidence: 99%

The spatial spillover effect and mediating effect of green credit on agricultural carbon emissions: Evidence from China

et al. 2023

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Agriculture has become a main source of greenhouse gas emissions globally, so limiting agricultural carbon emissions is an important part of achieving carbon neutrality in China. The reduction of agricultural carbon emissions needs the support of green credit. This paper explores the spatial effect and mechanism of green credit on agricultural carbon emissions. Specifically, based on panel data of 30 Chinese provinces from 2009 to 2019, the relationship between green credit and agricultural carbon emissions is empirically analyzed using spatial econometric and mediating effect models. The results show that green credit has a significant inhibitory effect on agricultural carbon emissions. Meanwhile, green credit can also limit agricultural carbon emissions in surrounding areas through spatial spillover effects. Moreover, the study reveals that green credit can indirectly suppress agricultural carbon emissions by promoting agricultural green technology innovation. Based on the above conclusions, this paper puts forward policy recommendations for the development of green credit and the reduction of agricultural carbon emissions.

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Section: Literature Reviewmentioning

confidence: 99%

The spatial spillover effect and mediating effect of green credit on agricultural carbon emissions: Evidence from China

et al. 2023

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“…When the green projects supported by green credit have the above disadvantages, the bank will pay more attention to this factor. In addition, factors such as unclear guidance catalog of green credit standards and imperfect operation mechanisms also hinder banks from participating in green credit (Ding et al, 2022).…”

Section: Green Creditmentioning

confidence: 99%

“…The advantages of supply chain collaborative innovation (Zhang et al, 2020) Factors affecting supply chain collaborative innovation (Kobarg et al, 2019;Najafi-Tavani et al, 2018;Skippari et al, 2017) Green credit The role of green credit (Chen, Zhang, et al, 2022;Rong & Hu, 2023) Factors affecting banks' participation in green credit (Ding et al, 2022;Luo et al, 2021;Wang et al, 2021; affects knowledge stock. When enterprises have high absorptive capacity, they can expand information resources and enrich the diversity of knowledge sources through collaborative innovation, and ultimately expand the stock of heterogeneous technology knowledge (Benitez et al, 2020;Najafi-Tavani et al, 2018).…”

Section: Green Technology Innovationmentioning

confidence: 99%

Evolutionary mechanism of green technology innovation behavior in the operation period of construction and demolition waste recycling public–private partnership projects

Yin

et al. 2023

Manage Decis Econ

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This paper aims to disclose the evolutionary mechanism of banks' green credit and construction and demolition waste (CDW) recycling enterprises' green technology innovation behavior during the operation period of CDW recycling public–private partnership projects with absorptive capacity theory. The conclusions are as follows. First, the government subsidy coefficient has a positive effect on the evolution of banks to participate in green credit. Second, absorptive capacity and the level of collaboration have a positive effect on the evolution of CDW recycling enterprises to collaborative innovation. Third, CDW recycling enterprises' green technology innovation behavior interacts with banks' green credit participation strategy.

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“…Green finance facilitates overall high-quality development by positively influencing the economy ecology and economic efficiency (Yang et al, 2021;Zhou, Zhu, & Luo, 2022). Despite the benefits of green finance, Yin and Xu (2022) Green credit facilitates financial support for green businesses in the form of debt financing (Hong et al, 2021) and enhances banks' sustainability by combining environmental regulation measures with loose monetary policies (Ding et al, 2022). Green credit exerts a remarkable negative impact on corporate carbon emissions intensity, and the optimization of energy consumption structure, the acceleration of industrial structure upgrading, and the suppression of investment carbon intensity are principal transmission channels through which green credit influences carbon emissions (Liu et al, 2023;Xu et al, 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

Network evolutionary game analysis of green credit: A perspective of carbon emissions trading

Li,

Zhang

et al. 2023

Manage Decis Econ

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As an effective measure for the local government to promote reduction of corporate carbon emissions and sustainable development of social economy, the implementation of green finance policies in enterprises and financial institutions has encountered severe strikes from the low returns of low carbon production and low interest rates of green credit business. Under the premise of liberalizing carbon emissions trading, a triple‐level network evolutionary game consisting of a local government, banks, and enterprises is constructed to analyze response behavior and strategy selection mechanism to green credit. The impacts of management tools are investigated in terms of setting carbon market price, limiting the financing upper bound of misbehaving enterprises, limiting the emissions quota of enterprises for fraudulent green credit, and rewarding clean project development on the decisions of individuals in the network. Results show the following: First, increasing the trading price of carbon emissions has a catalytic effect on enhancing the activeness of banks and enterprises to follow green finance policies, but the autonomous regulation ability of which is limited. Second, reducing the funding ceiling for emitting emissions illegally ambiguates enterprises' preferences for production strategies and discourages them from undertaking low‐carbon projects. Third, excessive restrictions on the share of emissions may evoke regulatory inaction by the local government, consequently leading to instability in the evolution network. Fourth, granting reward for clean production is instrumental for the network to promote green finance policies, but exorbitant subsidies increase the fiscal burden of the local government with no significant effect on the node selection of environment‐friendly strategies.

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Green credit and high-quality sustainable development of banks

Cited by 19 publications

References 19 publications

The spatial spillover effect and mediating effect of green credit on agricultural carbon emissions: Evidence from China

The spatial spillover effect and mediating effect of green credit on agricultural carbon emissions: Evidence from China

Evolutionary mechanism of green technology innovation behavior in the operation period of construction and demolition waste recycling public–private partnership projects

Network evolutionary game analysis of green credit: A perspective of carbon emissions trading

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