Evidence map›Paper›PMID 30177660›Full record

ArticleInternational journal of environmental research and public health2018

Going Green or Going Away? A Spatial Empirical Examination of the Relationship between Environmental Regulations, Biased Technological Progress, and Green Total Factor Productivity.

Xueli Wang, Caizhi Sun, Song Wang, Zhixiong Zhang, Wei Zou

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
29.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

17 citing papers in PubMed, 113 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Spatial Effect of Ecological Environmental Factors on Mumps in China during 2014-2018.International journal of environmental research and public health · 2022
    Article
  6. Characterizing Carbon Emissions and the Associations with Socio-Economic Development in Chinese Cities.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Is Technological Progress Selective for Multiple Pollutant Emissions?International journal of environmental research and public health · 2021
    Article
  13. Can China's Environmental Regulations Effectively Reduce Pollution Emissions?International journal of environmental research and public health · 2021
    Article
  14. Opening the Black Box: The Impacts of Environmental Regulations on Technological Innovation.International journal of environmental research and public health · 2020
    Article
  15. Green Biased Technical Change in Terms of Industrial Water Resources in China's Yangtze River Economic Belt.International journal of environmental research and public health · 2020
    Article
  16. Article
  17. 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

5 authors at 2 institutions in 1 country.

Xueli WangCenter for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, 850 Huanghe Road, Dalian 116029, China. 376531665@163.com.
Caizhi SunChina Institute of Boundary and Ocean Studies, Wuhan University, Wuhan 430072, China. suncaizhi@lnnu.edu.cn.
Song WangInstitute for the Development of Central China, Wuhan University, Wuhan 430072, China. SongW19911114@163.com.
Zhixiong ZhangCollege of Urban and Environment, Liaoning Normal University, 850 Huanghe Road, Dalian 116029, China. zhixiongzhang1991@foxmail.com.
Wei ZouCollege of Urban and Environment, Liaoning Normal University, 850 Huanghe Road, Dalian 116029, China. zouwei_2003@sohu.com.
Liaoning Normal University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China's economic development has resulted in significant resource consumption and environmental damage. However, technological progress is important for achieving coordinated economic development and environmental protection. Appropriate environmental regulation policies are also important. Although green total factor productivity, environmental regulations, and technological progress vary by location, few studies have been conducted from a spatial perspective. However, spatial spillover effects should be taken into consideration. This study used energy consumption, the sum of physical capital stock and ecological service value as total capital stock, the number of employed people as inputs, sulfur dioxide emissions as undesired outputs, and green GDP as total output to obtain green TFP through a slacks-based measure (SBM) global Malmquist-Luenberger Index. This study also estimated China's biased technological progress under environmental constraints from 2004 to 2015 based on relevant data (e.g., green GDP, total capital stock, and employment figures). The relationship between green total factor productivity (GTFP), technological progress, and environmental regulation was then examined using a spatial Durbin model. Results were as follows: (1) Based on the complementary elements, although the labor costs gradually increase, the rapid accumulation of capital leads to technological progress that is biased toward capital. However, technological progress in the labor bias can significantly increase GTFP. (2) There is a u-shaped relationship between existing environmental regulations and GTFP. Technological progress can significantly promote GTFP in the surrounding areas through existing environmental regulations. (3) Under spatial weight, the secondary industry coefficient was negative while human capital stock and FDID had positive effects on GTFP. Technological progress is the source of economic growth. It is therefore necessary to promote biased technological development and improve labor-force skills while implementing effective environmental regulation policies.

Indexed as

Conservation of Natural ResourcesEconomic DevelopmentTechnologyChinaEcologyEmploymentEnvironmental PolicyHumansModels, EconomicSpatio-Temporal Analysisbiased technological progressenvironmental regulationgreen total factor productivityspatial Durbin model

Identifiers

PMID30177660
PMCPMC6165027
OpenAlexW2889478747

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.