Evidence map›Paper›PMID 32708029›Full record

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.

Mingliang Zhao, Fangyi Liu, Wei Sun, Xin Tao

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Digital Economy, Environmental Regulation and Corporate Green Technology Innovation: Evidence from China.International journal of environmental research and public health · 2022
    Article
  3. Article
  4. Can Global Value Chain Participation Drive Green Upgrade in China's Manufacturing Industry?International journal of environmental research and public health · 2022
    Article
  5. Green Total Factor Productivity Growth: Policy-Guided or Market-Driven?International journal of environmental research and public health · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mingliang ZhaoDepartment of International Economics and Trade, Shandong University of Finance and Economics, Jinan 250002, China.ORCID 0000-0002-4474-8729
Fangyi LiuDepartment of International Economics and Trade, Shandong University of Finance and Economics, Jinan 250002, China.
Wei SunKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Xin TaoDepartment of Geography, University at Buffalo, the State University of New York, Buffalo, NY 14261, USA.ORCID 0000-0002-5107-9068

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Economic DevelopmentEfficiencyChinaCitiesIndustrial Developmentenvironmental regulationgreen total factor productivityindustrializationsystematic GMM

Identifiers

PMID32708029
PMCPMC7432942

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.