Evidence map›Paper›PMID 36901422›Full record

ArticleInternational journal of environmental research and public health2023

Market Segmentation and Green Development Performance: Evidence from Chinese Cities.

Xuebing Dong, Benbo Liang, Haichao Yu, Hui Zhu

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xuebing DongChina Academy of West Region Development, Zhejiang University, Hangzhou 310058, China.
Benbo LiangChina Academy of West Region Development, Zhejiang University, Hangzhou 310058, China.
Haichao YuInstitute of New Structural Economics, Peking University, Beijing 100091, China.ORCID 0000-0002-8151-6409
Hui ZhuSchool of Economics, Zhejiang Gongshang University, Hangzhou 310018, China.

Funding

ZHEJIANG PROVINCIAL NATURAL SCIENCE FOUNDATION OF CHINA LY18G030010
6 · The paper itself

Abstract

This study is based on 2006-2019 panel data from 282 Chinese cities. Market segmentation and green development performance are empirically investigated to examine their non-linear relationship using static panel, dynamic panel, and dynamic spatial panel models. The results reveal the following: (1) Green development performance is found to have a high degree of temporal and spatial path dependence, exhibiting spatial linkage between cities. (2) Market segmentation stemming from local government protection has a clear inverted U-shaped structure in relationship with the green development performance. (3) Our analysis suggests that the upgrading of industrial structures significantly enhances green development, while factor price distortion inhibits it. The relationship between market segmentation and industrial structure upgrading is also an inverted U-shape. (4) The analysis further reveals that market segmentation has an inverted U-shaped correlation with the green development performance in western, central, and eastern cities. However, the different rates of development of industrial structures within the three regions result in varying degrees of market segmentation according to inflection point values. Moreover, aligned with the theoretical hypothesis of "resource curse," in resource-based cities (exclusively), market segmentation still affects the green development performance with a significant inverted U-shaped structure.

Indexed as

IndustrySustainable DevelopmentChinaCitiesEconomic DevelopmentSpatial Analysisdynamic spatial panel modelfactor price distortiongreen development performanceheterogeneity analysisindustrial structure upgradingmarket segmentation

Identifiers

PMID36901422
PMCPMC10002322

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