Evidence map›Paper›PMID 35805252›Full record

ArticleInternational journal of environmental research and public health2022

Can the Policy of National Urban Agglomeration Improve Economic and Environmental Gains? Evidence from Quasi-Natural Experiments with 280 Cities in China.

Fanchao Kong, Hongkai Zhang, Xiangyan Meng, Shuai Li, Jia Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China.International journal of environmental research and public health · 2022
    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.

Fanchao KongSchool of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China.ORCID 0000-0002-1961-7743
Hongkai ZhangSchool of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China.
Xiangyan MengSchool of Insurance, Shandong University of Finance and Economics, Jinan 250014, China.
Shuai LiSchool of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China.
Jia LiuSchool of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban agglomerations are an important symbol in the development of modernization. In this paper, we utilize the National Urban Agglomeration (NUA) policy as a quasi-natural experiment in the Chinese context. Adopting data from 280 cities from 2005 to 2019 as research samples, we use difference-in-differences (DID) and spatial difference-in-differences models (SDID) to examine the effect and mechanism of the implementation of the NUA policy on economic development and environmental pollution in China. The result shows that the NUA policy can achieve urban economic and environmental gains, which still holds after the robustness test. The heterogeneity analysis showed that the effects of the NUA policy are more evident in large and medium-sized cities. The curbing effect of the NUA policy on pollution emissions is apparent in the eastern region. Considering spatial heterogeneity, the expected economic and environmental benefits of the NUA policy are partially borne out. In addition to the green technology innovation, the NUA policy also influences regional economic development and environmental pollution through industrial agglomeration and the upgrading of industrial structures, respectively. It is essential to strengthen regional cooperation and establish the development concept of community interests between cities.

Indexed as

Economic DevelopmentEnvironmental PollutionChinaCitiesPolicyeconomic growthenvironmental pollutiongreen technology innovationindustrial structurenational urban agglomeration

Identifiers

PMID35805252
PMCPMC9265591

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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.