Evidence map›Paper›PMID 37582071›Full record

ArticlePloS one2023

What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology-Organization-Environment framework.

Weidong Chen, Quanling Cai, Kaisheng Di, Dongli Li, Caiping Liu, Mingxing Wang, Sichen Liu, Zhensheng Di, Qiumei Shi

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Article in PloS one, 2023. 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

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

9 authors.

Weidong ChenDepartment of Management and Economics, Tianjin University, Tianjin, China.
Quanling CaiDepartment of Management and Economics, Tianjin University, Tianjin, China.ORCID 0009-0001-9982-4901
Kaisheng DiDepartment of Management and Economics, Tianjin University, Tianjin, China.
Dongli LiDepartment of Management and Economics, Tianjin University, Tianjin, China.
Caiping LiuDepartment of Management and Economics, Tianjin University, Tianjin, China.
Mingxing WangCollege of Finance and Economics, Qinghai University, Xining, Qinghai Province, China.
Sichen LiuCollege of Economics and Management, Wuhan University, Wuhan, Hubei Province, China.
Zhensheng DiCollege of Politics and Public Administration, Qinghai Minzu University, Xining, Qinghai Province, China.
Qiumei ShiHealth Education Services Department, Xining Aier Eye Hospital, Xining, Qinghai Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesAddressing climate change and reducing greenhouse gas emissions have emerged as shared global objectives. Enhancing the development performance of low-carbon cities has become an urgent and widely acknowledged concern for both government policy-making departments and academics. Drawing upon the complex grouping perspective and resource allocation theory, this study investigates how varying conditions related to technology, organization, and environment in Chinese low-carbon pilot cities can effectively allocate resources to shape the governance performance of low-carbon cities. METHODS AND DATA: This paper employs a comprehensive grouping analysis perspective, treating the research object as a combination of various ways between condition variables. It integrates the advantages of case studies and variable studies, and investigates the collective relationships between elemental groupings and outcomes using the fsQCA analysis method. This approach facilitates the understanding of multiple concurrent causal relationships within the technology-organization-environment (TOE) framework, accounting for different performance levels in Chinese low-carbon pilot cities, as well as addressing complex causal issues such as asymmetry and multiple scenario equivalence. Data from 30 representative low-carbon pilot cities in China were employed to validate the TOE theoretical framework.

conclusionNo single element alone can be considered a necessary condition for low-carbon city governance performance. However, environmental enhancement plays a more prominent role in the governance performance of low-carbon cities. Additionally, the presence of "multiple concurrent" technical, organizational, and environmental conditions leads to a diverse range of governance performance in Chinese low-carbon pilot cities. In other words, the driving paths of low-carbon city performance exhibit distinct pathways. CONTRIBUTION: The findings of this study can assist low-carbon pilot city managers in generating effective governance ideas, facilitating the successful implementation of low-carbon city pilot projects, and drawing valuable lessons from the experience of low-carbon city development in China.

Indexed as

CarbonOrganizationsChinaCitiesEconomic DevelopmentTechnologyCarbon

Identifiers

PMID37582071
PMCPMC10427000

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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.