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The effect of strategic synergy between local and neighborhood environmental regulations on green innovation efficiency: The perspective of industrial transfer

Ouyang, You; Ye, Fei; Tan, Kimhua

Authors

You Ouyang

Fei Ye

KIM TAN kim.tan@nottingham.ac.uk
Professor of Operations and Innovation Management



Abstract

Considering the environmental governance dilemma caused by environmental decentralization, this study aims to explore whether the strategic synergy between local and neighborhood environmental regulations can be an essential tool to improve green innovation efficiency and achieve sustainable development. Using the data of industrial firms from 2005 to 2019, and employing network slack-based measure and Tobit regression, this study provides empirical evidence that (1) the green innovation efficiency shows an upward trend in fluctuations but still has great room for improvement; (2) the direct impact of local environmental regulation on green innovation is positive, but the indirect impact through forcing firms to transfer into the neighborhood with loose regulation is negative, that is, the industrial transfer plays a suppression effect; (3) the strategic synergy of environmental regulations has U-shaped and direct effect on green innovation and also has a positive indirect effect through inhibiting the firm's behavior transferring into the neighborhood. This study reveals the influence mechanism of the strategic synergy of local-neighborhood environmental regulations and offers empirical evidence to explain the reason why synergistic environmental governance can effectively promote green innovation, which provides the theoretical guidance for government to formulate environmental policies and construct an environmental governance system.

Journal Article Type Article
Acceptance Date Oct 28, 2022
Online Publication Date Nov 8, 2022
Publication Date Dec 20, 2022
Deposit Date Dec 12, 2022
Publicly Available Date Dec 15, 2022
Print ISSN 0959-6526
Peer Reviewed Peer Reviewed
Volume 380
Issue 1
Article Number 134933
DOI https://doi.org/10.1016/j.jclepro.2022.134933
Public URL https://nottingham-repository.worktribe.com/output/14882624
Publisher URL https://www.sciencedirect.com/science/article/pii/S0959652622045061

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