This paper focuses on the power industry in China, through the
construction of production function model,
solves the optimization problem of high-carbon and low-carbon
enterprises in power industry, and discusses the adjustment and optimization
strategy of credit structure in it. The highlight of the article is to look at
the impact of the inclination of credit resource allocation to the green and
low-carbon field from a more holistic and dialectical perspective. Research
shows that the credit mortgage rate adjustment policy is more conducive to the
withdrawal of backward production capacity in high-carbon industries, while the
interest rate policy is more conducive to expanding production capacity by
supporting technological progress in new industries. When adjusting the
high-carbon and low-carbon credit interest rates, adopting the
“small-then-large” interest rate adjustment path with a gradually increasing
range is more conducive to realizing the industrial structure adjustment and
ensuring the power capacity supply at the same time. Therefore, in order to
avoid the phenomenon of “moving carbon reduction” under the dual carbon goal,
banks can consider the strategy of “focusing on interest rate instruments in
the early stage and mortgage rate control in the middle and late stages” when
formulating credit policies for the power industry, so as to help better
realize the continuous transformation of old and new kinetic energy under the
dual carbon goal.
References
[1]
He, L., Zhang, L., Zhong, Z., Wang, D., & Wang, F. (2019). Green Credit, Renewable Energy Investment and Green Economy Development: Empirical Analysis Based on 150 Listed Companies of China. Journal of Cleaner Production, 208, 363-372.
https://doi.org/10.1016/j.jclepro.2018.10.119
[2]
Kang, H., Jung, S. Y., & Lee, H. (2019). The Impact of Green Credit Policy on Manufacturers’ Efforts to Reduce Suppliers’ Pollution. Journal of Cleaner Production, 248, Article ID: 119271. https://doi.org/10.1016/j.jclepro.2019.119271
[3]
Nandy, M., & Lodh, S. (2012). Do Banks Value the Eco-Friendliness of Firms in Their Corporate Lending Decision? Some Empirical Evidence. International Review of Financial Analysis, 25, 83-93. https://doi.org/10.1016/j.irfa.2012.06.008
[4]
Schafer, H. (2017). Green Finance and the German Banking System. Social Science Electronic Publishing. https://doi.org/10.2139/ssrn.2959931
[5]
Scholtens, B., & Dam, L. (2007). Banking on the Equator: Are Banks that Adopted the Equator Principles Different from Non-Adopters? World Development, 35, 1307-1328.
https://doi.org/10.1016/j.worlddev.2006.10.013
[6]
Song, X. (2016). A General Equilibrium Empirical Study on the Transmission Path of Green Credit in China. Financial Regulation Research, No. 5, 87-97.
[7]
Wang, Y., Pan, D., & Peng, Y. (2019). Research on Green Credit Incentive Policy Based on DSGE model. Journal of Financial Research, 11, 1-18.
[8]
Ye, B. (2013). Research on the Cost of Carbon Emission Reduction in China’s Power Industry Based on Optimal Allocation of Resources. Harbin Institute of Technology.
[9]
Zheng, Y. (2020). Research on the Impact of Green Credit Input on the Output of Green Economic Benefits in China Under the Strategy of Sustainable Development—Based on DEA Model Method. Shanxi Agricultural Economy, No. 4, 152-153.
[10]
Zhu, Z. (2015). Environmental Performance Evaluation of Listed Power Companies in China (2011-2013)—Based on SBM Model Considering Unexpected Output. Journal of Industrial Technological Economics, 34, 83-90.