Abstract

Environmental regulations are important means to influence manufacturing enterprise green development. However, there are two completely different conclusions both in theoretical and in empirical research, namely the “Follow Cost” theory and the “Porter Hypothesis”. The nonlinear mechanism needs to be considered. Therefore, this study aims to explain the threshold impact of heterogeneous environmental regulations on enterprise green total factor productivity. Environmental regulations are divided into different sub-categories, then based on the panel data of 1220 Chinese manufacturing listed companies from 2011 to 2020, this paper uses threshold regression model to examine the impact of heterogeneous environmental regulations on Chinese manufacturing enterprise Green Total Factor Productivity. The empirical results show that: (1) Command-controlled, market-incentive and voluntary-agreement environmental regulation all have a significant nonlinear impact on enterprise Green Total Factor Productivity. (2) Enterprise R&D investment plays a threshold role in the impact. (3) There are industry and equity type differences in the impact process. This study focuses on the micro level of enterprises and tests the threshold mechanism, which make some theoretical complement to previous researches. The research results are not only beneficial for the government to propose appropriate environmental regulatory policies, but also for enterprises to achieve green growth through heterogeneous R&D investment.

Details

Title
A dynamic panel threshold model analysis on heterogeneous environmental regulation, R&D investment, and enterprise green total factor productivity
Author
Liu, Lu 1 ; Ren, Rong 2 ; Cui, Kaiyuan 3 ; Song, Lei 4 

 Shandong University of Finance and Economics, School of International Trade and Economics, Jinan, China (GRID:grid.443413.5) (ISNI:0000 0000 9074 5890) 
 Shandong University, School of Management, Jinan, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174) 
 Shandong Youth University of Political Science, School of Economics and Management, Jinan, China (GRID:grid.507027.7) (ISNI:0000 0004 0604 7379) 
 Ocean University of China, School of Economics, Qingdao, China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263) 
Pages
5208
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2934012809
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.