Abstract

Firm’s effort on Green technology innovation (hereafter, called G-innovation) is affected by financing constraints, and firm will make a discretionary choice according to its own situation, to achieve the maximization of self-interests. Based on the data of Chinese micro enterprises, firstly, we empirically analyze firms’ decision-making towards G-innovation when faced with financing constraints. It supports the view that financing constraints can hinder enterprise technological innovation. And we also make an explanation that the social benefits of green technology innovation are greater than personal benefits, which makes enterprises tend to reduce green technology innovation when facing financing constraints. Then we examine firms’ heterogonous behaviors under different internal attributes and external environments. The results reveal that: First, firms are reluctant to pay more efforts to G-innovation when faced with increased financing constraints. Second, firms with different attributes exhibit heterogeneous G-innovation. Political connections will change firms’ willingness to innovate, while the structure of property rights and the pollution degree will not. Third, firms under different external environment also exhibit heterogeneous G-innovation. When economic policy uncertainty increases, firms’ willingness to innovate weakens. The development of shadow banks fail to improve firm’s willingness to innovate.

Highlights

  • Firms are the main body of pollutant emission, and G-innovation has become the key means to improve environmental quality, which plays an important role in pollution governance [1]

  • Green technology innovation mainly refers to the technological improvements that save energy, prevent pollution, or enable waste recycling [3, 4], which is different from frugal innovation and financial innovation

  • According the research of Hong, Drakeford [57],we collect the data of invention patents from the website of the State Intellectual Property Office in China, and identify the green invention patents according to the IPC Green Inventory, which is an online tool launched by the World Intellectual Property Organization (WIPO)

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Summary

OPEN ACCESS

Editor: Laszlo Vasa, Szechenyi Istvan University: Szechenyi Istvan Egyetem, HUNGARY. Data Availability Statement: All relevant data are within the manuscript and its Supporting Information files.

Introduction
Model design
Variables and data
Development of shadow banking
EPU index
FC stateown ins roa topten
Based on different property rights
Based on different political connections
Political connected enterprises
Based on different polluting level
Non heavy polluting enterprises
Based on economic policy uncertainty
Div EPU
Div shadow
Conclusions
Findings
Author Contributions
Full Text
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