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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.
Chen, Weidong; Cai, Quanling; Di, Kaisheng; Li, Dongli; Liu, Caiping; Wang, Mingxing; Liu, Sichen; Di, Zhensheng; Shi, Qiumei.
Afiliação
  • Chen W; Department of Management and Economics, Tianjin University, Tianjin, China.
  • Cai Q; Department of Management and Economics, Tianjin University, Tianjin, China.
  • Di K; College of Politics and Public Administration, Qinghai Minzu University, Xining, Qinghai Province, China.
  • Li D; Department of Management and Economics, Tianjin University, Tianjin, China.
  • Liu C; College of Politics and Public Administration, Qinghai Minzu University, Xining, Qinghai Province, China.
  • Wang M; Department of Party Committee, Party School of the Qinghai Provincial Committee of CPC, Xining, Qinghai Province, China.
  • Liu S; Department of Management and Economics, Tianjin University, Tianjin, China.
  • Di Z; College of Chunming, Hainan University, Haikou, Hainan Province, China.
  • Shi Q; Department of Management and Economics, Tianjin University, Tianjin, China.
PLoS One ; 18(8): e0289160, 2023.
Article em En | MEDLINE | ID: mdl-37582071
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.
Assuntos

Texto completo: 1 Temas: ECOS / Aspectos_gerais / Estado_mercado_regulacao Bases de dados: MEDLINE Assunto principal: Carbono / Organizações País/Região como assunto: Asia Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Temas: ECOS / Aspectos_gerais / Estado_mercado_regulacao Bases de dados: MEDLINE Assunto principal: Carbono / Organizações País/Região como assunto: Asia Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China