Evidence map›Paper›PMID 39968055›Full record

ArticleFrontiers in public health2024

Can digital governance stimulate green development? Evidence from the program of "pilot cities regarding information for public well-being" in China.

Xuxin Zou, Jiadi Min, Shuang Meng, Wenguan Dai, Xinyang Li

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

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

5 authors.

Xuxin Zou *School of Economics, Beijing Wuzi University, Beijing, China.
Jiadi Min *School of Economics, Beijing Wuzi University, Beijing, China.
Shuang Meng *School of International Trade and Economics, Central University of Finance and Economics, Beijing, China.
Wenguan Dai *School of Economics, Beijing Wuzi University, Beijing, China.
Xinyang LiRenmin Business School, Renmin University of China, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital governance is an important goal of government digital transformation, and the policy of "pilot cities regarding information for public well-being" in China is an important initiative to promote the reform of government governance system and realize green development. Based on the panel data of 282 cities in China from 2007 to 2020, this paper analyzes the mechanism and path of the impact of digital governance on green development using the program of "pilot cities regarding information for public well-being" as a quasi-natural experiment. The double-difference model and mediation effect model are utilized. The results show that digital governance can significantly promote green development, and the path of influence is the supererogation and the rationalization of industrial structure, i.e., digital governance can promote the green development of the cities by enhancing the supererogation and the rationalization of industrial structure. In addition, there is obvious heterogeneity in the impact of digital governance on green development. The policy exerts a stronger effect on economically developed cities than on economically backward cities, and a stronger effect on large cities than on small- and medium-sized cities. Therefore, the relevant departments should continue to optimize the pilot policy regarding information for public well-being, strive to improve the government's digital governance, focus on economically backward cities and small-sized cities, actively cultivate the green development, promote the optimization and upgrading of industrial structure, and vigorously support cross-regional exchanges and cooperation, so as to jointly achieve green and high-quality development.

Indexed as

Conservation of Natural ResourcesPublic HealthSustainable DevelopmentChinaCitiesHumansPilot Projectsdigital governancegreen developmentgreen innovationindustrial structurepublic well-being

Identifiers

PMID39968055
PMCPMC11832491

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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.