ArticleInternational journal of environmental research and public health2020
The Relationship between Environmental Regulation and Green Total Factor Productivity in China: An Empirical Study Based on the Panel Data of 177 Cities.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- 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
- Digital Economy, Environmental Regulation and Corporate Green Technology Innovation: Evidence from China.International journal of environmental research and public health · 2022Article
- Green Technology Transfer, Environmental Regulation, and Regional Green Development Chasm: Based on the Empirical Evidence from Yangtze River Delta.International journal of environmental research and public health · 2022Article
- Can Global Value Chain Participation Drive Green Upgrade in China's Manufacturing Industry?International journal of environmental research and public health · 2022Article
- Green Total Factor Productivity Growth: Policy-Guided or Market-Driven?International journal of environmental research and public health · 2022Article
- Research on the Impact of Government Environmental Information Disclosure on Green Total Factor Productivity: Empirical Experience from Chinese Province.International journal of environmental research and public health · 2022Article
- Green credit and market expansion strategy of high pollution enterprises-Evidence from China.PloS one · 2022Article
- Research on Environmental Regulation and Green Total Factor Productivity in Yangtze River Delta: From the Perspective of Financial Development.International journal of environmental research and public health · 2021Article
- Effect of Environmental Regulation on High-quality Economic Development in China-An Empirical Analysis Based on Dynamic Spatial Durbin Model.Environmental science and pollution research international · 2021Article
- Asymmetric and Spatial Non-Stationary Effects of Particulate Air Pollution on Urban Housing Prices in Chinese Cities.International journal of environmental research and public health · 2020Article
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Abstract
Promoting the coordinated development of industrialization and the environment is a goal pursued by all of the countries of the world. Strengthening environmental regulation (ER) and improving green total factor productivity (GTFP) are important means to achieving this goal. However, the relationship between ER and GTFP has been debated in the academic circles, which reflects the complexity of this issue. This paper empirically tested the relationship between ER and GTFP in China by using panel data and a systematic Gaussian Mixed Model (GMM) of 177 cities at the prefecture level. The research shows that the relationship between ER and GTFP is complex, which is reflected in the differences and nonlinearity between cities with different monitoring levels and different economic development levels. (1) The relationship between ER and GTFP is linear and non-linear in different urban groups. A positive linear relationship was found in the urban group with high economic development level, while a U-shaped nonlinear relationship was found in other urban groups. (2) There are differences in the inflection point value and the variable mean of ER in different urban groups, which have different promoting effects on GTFP. In key monitoring cities and low economic development level cities, the mean value of ER had not passed the inflection point, and ER was negatively correlated with GTFP. The mean values of ER variables in the whole sample, the non-key monitoring and the middle economic development level cities had all passed the inflection point, which gradually promoted the improvement of GTFP. (3) Among the control variables of the different city groups, science and technology input and the financial development level mainly had positive effects on GTFP, while foreign direct investment (FDI) and fixed asset investment variables mainly had negative effects.
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