Green finance, environmental technology progress bias and cleaner industrial structure

Xiaomeng Liu () and Yingquan Zhang
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Xiaomeng Liu: Jinling Institute of Technology
Yingquan Zhang: Jinling Institute of Technology

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 4, No 19, 8643-8660

Abstract: Abstract In this paper, green finance is incorporated into the theoretical framework of technological progress bias to investigate the internal mechanism of green finance influencing environmental technological progress bias and the cleaning of industrial structure. Quantitative analysis is carried out by parameter calibration and numerical simulation. The results show that the environmental technology progress bias has obvious path-dependent characteristics. By means of financing scale and financing cost, green finance influences the relative profit, R&D behavior choice and environmental technology progress preference of the two types of R&D firms and then influences the cleaning of industrial structure through direct productivity effect, indirect price effect and market size effect. Only when the proportion of financing scale of clean R&D departments or the interest rate subsidy exceeds a certain critical value, can green finance successfully induce the occurrence of clean technological progress and promote the cleanliness of industrial structure. However, when the proportion of financing scale or interest rate subsidy of clean R&D departments is lower than a certain critical value, the improvement effect of green finance on the output value of clean industry is offset by the effect of polluting technological progress, which is not conducive to the clean industrial structure.

Keywords: Green finance; Environmental technology progress bias; Clean industrial structure; Parameter calibration; The numerical simulation (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-03062-x

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