Evidence map›Paper›PMID 34510346›Full record

ArticleEnvironmental science and pollution research international2022

Can environmental regulations break down domestic market segmentation? Evidence from China.

Aolin Lai, Zhihui Yang, Lianbiao Cui

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Market Segmentation and Green Development Performance: Evidence from Chinese Cities.International journal of environmental research and public health · 2023
    Article
  3. 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

3 authors.

Aolin LaiSchool of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, Anhui, 233030, People's Republic of China.
Zhihui YangSchool of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, Anhui, 233030, People's Republic of China. zhi-hui-yang@163.com.ORCID http://orcid.org/0000-0002-5086-7791
Lianbiao CuiSchool of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, Anhui, 233030, People's Republic of China.

Funding

Major Research Projects of Natural Science in Universities of Anhui Province of China no. KJ2017ZD35National Natural Science Foundation of China no.71974001Top Talent Project in Anhui Province gxyqZD2020087
6 · The paper itself

Abstract

While local protectionism and market segmentation owing to fiscal decentralization are not conducive to broad economic development, they may be rational choices on a local scale. Based on a spatial Durbin model, we analyzed the relationship between environmental regulations and market segmentation in China using interprovincial panel data for 2004-2018. The results indicated that the "beggar-thy-neighbor" phenomenon persists in China; environmental regulations have a U-shaped impact on market segmentation, i.e., in most regions, environmental regulation can break down market segmentation. Regions with greater decentralization are better able to promote local market integration through environmental regulation, suggesting that local governments are better able to compensate for market failures when vested with greater power. Hence, we propose that the central government should improve performance evaluation indicators for local governments and grant them greater autonomy; additionally, local governments should increase the intensity of environmental regulations as appropriate, thereby promoting both environmental protection and the unification of domestic markets.

Indexed as

Conservation of Natural ResourcesEconomic DevelopmentChinaLocal GovernmentEnvironmental regulationFiscal decentralizationMarket segmentationSpatial effect

Identifiers

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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.