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

BACKGROUND AND OBJECTIVES: Addressing 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 acade...

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Autores principales: Chen, Weidong, Cai, Quanling, Di, Kaisheng, Li, Dongli, Liu, Caiping, Wang, Mingxing, Liu, Sichen, Di, Zhensheng, Shi, Qiumei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427000/
https://www.ncbi.nlm.nih.gov/pubmed/37582071
http://dx.doi.org/10.1371/journal.pone.0289160
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author Chen, Weidong
Cai, Quanling
Di, Kaisheng
Li, Dongli
Liu, Caiping
Wang, Mingxing
Liu, Sichen
Di, Zhensheng
Shi, Qiumei
author_facet Chen, Weidong
Cai, Quanling
Di, Kaisheng
Li, Dongli
Liu, Caiping
Wang, Mingxing
Liu, Sichen
Di, Zhensheng
Shi, Qiumei
author_sort Chen, Weidong
collection PubMed
description BACKGROUND AND OBJECTIVES: Addressing 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. CONCLUSION: No 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.
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spelling pubmed-104270002023-08-16 What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology—Organization—Environment framework Chen, Weidong Cai, Quanling Di, Kaisheng Li, Dongli Liu, Caiping Wang, Mingxing Liu, Sichen Di, Zhensheng Shi, Qiumei PLoS One Research Article BACKGROUND AND OBJECTIVES: Addressing 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. CONCLUSION: No 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. Public Library of Science 2023-08-15 /pmc/articles/PMC10427000/ /pubmed/37582071 http://dx.doi.org/10.1371/journal.pone.0289160 Text en © 2023 Chen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Weidong
Cai, Quanling
Di, Kaisheng
Li, Dongli
Liu, Caiping
Wang, Mingxing
Liu, Sichen
Di, Zhensheng
Shi, Qiumei
What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology—Organization—Environment framework
title What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology—Organization—Environment framework
title_full What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology—Organization—Environment framework
title_fullStr What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology—Organization—Environment framework
title_full_unstemmed What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology—Organization—Environment framework
title_short What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology—Organization—Environment framework
title_sort what determines the performance of low-carbon cities in china? analysis of the grouping based on the technology—organization—environment framework
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427000/
https://www.ncbi.nlm.nih.gov/pubmed/37582071
http://dx.doi.org/10.1371/journal.pone.0289160
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