ArticlePloS one2021
The impact of environmental regulation on green total factor productivity: An empirical analysis.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- The impact of data factor-driven industry on the green total factor productivity: evidence from the China.Scientific reports · 2024Article
- Article
- Environmental regulation, industrial structure and energy efficiency: Evidence from 30 provinces in China.PloS one · 2024Article
- The effect of heterogeneous environmental regulations on the employment skill structure: The system-GMM approach and mediation model.PloS one · 2023Article
- The Relationship between Environmental Regulation, Green-Technology Innovation and Green Total-Factor Productivity-Evidence from 279 Cities in China.International journal of environmental research and public health · 2022Article
- How green governance empowers high-quality development: An EKC framework-based analysis of ESG and green total factor productivity.Science progressArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The transformation of China's economy from extensive growth to high-quality development is essentially an increase in green total factor productivity (GTFP). China currently has a range of environmental regulation tools, and the question of whether environmental regulation can promote improvement in China's GTFP requires theoretical and empirical analysis. This article first divides environmental regulation into three types: administrative, market-based and information-based. It then builds an empirical model of the effect of environmental regulation on GTFP. Slacks based measure-data envelope analysis (SBM-DEA) and the Malmquist index are used to measure the GTFP of 30 provinces in China from 2005 to 2018, and a measurement model of the impact of environmental regulation on GTFP is established. The results show that: (1) there are significant differences in GTFP in eastern, central and western China; (2) there is a non-linear relationship between environmental regulations and GTFP.
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Registered trials
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