How does regional cooperation affect green total factor productivity?-Evidence from the Guangdong-Hong Kong-Macao Greater Bay area in China.

Peng Qiu, Chenghui Tang, Xiaofang Tu, Joep Crompvoets

Abstract read

In one paragraph

Article in Heliyon, 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

–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

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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

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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.

Peng QiuSchool of Public Administration and Policy, Renmin University of China, Beijing, China.

Chenghui TangSchool of Urban and Regional Science, Shanghai University of Finance and Economics, Shanghai, China.

Xiaofang TuSchool of Public Administration, Beihang University, Beijing, China.

Joep CrompvoetsPublic Governance Institute, Katholieke Universiteit Leuven (KU Leuven), Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a key regional development strategy, regional cooperation affects the sustainable development of city-regions. This study uses social network analysis, spatial analysis, and negative binomial regression analysis to investigate the impacts of regional cooperation on green total factor productivity (GTFP) in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The main findings are as follows. First, regional cooperation is growing closer, unfolding a trend of networked and polycentric development patterns in the GBA. Second, the GTFP of most cities exhibits an upward trend, indicating a continuous improvement in green economic development in the GBA. Third, different types of regional cooperation have heterogeneous impacts on GTFP, with economic cooperation being essential for regional GTFP. Overall, this study provides a systematic and comprehensive analysis of the environmental effects of regional cooperation.

Indexed as

Green economic developmentGreen total factor productivityInstitutional collective actionRegional cooperation

Identifiers

PMID39403520

DOI10.1016/j.heliyon.2024.e38598

PMCPMC11472073

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LicenceCC BY-NC-ND

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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.