County-Level Economic Development Mode in the Context of China’s Rural Revitalization: A Fuzzy-Set Qualitative Comparative Analysis

In the context of China’s rural revitalization strategy, the significance of county economic development cannot be overstated. Aligning county economic development with the deeper implications of this strategy is a pressing concern for governments at every level. This study, drawing from the Technology-Organization-Environment (TOE) framework, employs the fs-QCA method to elucidate the causal mechanisms underpinning high-quality county-level economic development. Utilizing data from 57 counties in an agricultural province in China, this research investigates the interplay between antecedent conditions and county economic development, delineating distinct developmental pathways that yield optimal outcomes. The findings reveal that, (1) no singular condition suffices to attain superior county economic development; rather, it emerges from the confluence of multiple factors. (2) Four distinct pathways, technology-led industry-pull, technology-driven government-supported, all-factor linkage, and technology-organized balanced, are instrumental in achieving high-level county economic development. (3) Substitutional relationships exist among the antecedent conditions. These insights deepen our comprehension of the multifaceted determinants influencing county economic growth. By highlighting the interdependencies among these conditions, this research offers valuable perspectives that can guide the formulation of pragmatic, synergistic policies, paving the way for efficient county economic developmental trajectories.

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Publication Details

Journal
SAGE Open
Published
2024-10-01
DOI
https://doi.org/10.1177/21582440241299899
Citations
1
Primary Topic
China's Socioeconomic Reforms and Governance
Type
article
Field-Weighted Citation Impact
2.23

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article

County-Level Economic Development Mode in the Context of China’s Rural Revitalization: A Fuzzy-Set Qualitative Comparative Analysis

Fang Da, Yunqing Liu, Yiting Wu, Zekun Dai
1 citations
SAGE Open
China's Socioeconomic Reforms and Governance
2.23
article

County-Level Economic Development Mode in the Context of China’s Rural Revitalization: A Fuzzy-Set Qualitative Comparative Analysis

Fang Da, Yunqing Liu, Yiting Wu, Zekun Dai
article en
1 citations

Abstract

In the context of China’s rural revitalization strategy, the significance of county economic development cannot be overstated. Aligning county economic development with the deeper implications of this strategy is a pressing concern for governments at every level. This study, drawing from the Technology-Organization-Environment (TOE) framework, employs the fs-QCA method to elucidate the causal mechanisms underpinning high-quality county-level economic development. Utilizing data from 57 counties in an agricultural province in China, this research investigates the interplay between antecedent conditions and county economic development, delineating distinct developmental pathways that yield optimal outcomes. The findings reveal that, (1) no singular condition suffices to attain superior county economic development; rather, it emerges from the confluence of multiple factors. (2) Four distinct pathways, technology-led industry-pull, technology-driven government-supported, all-factor linkage, and technology-organized balanced, are instrumental in achieving high-level county economic development. (3) Substitutional relationships exist among the antecedent conditions. These insights deepen our comprehension of the multifaceted determinants influencing county economic growth. By highlighting the interdependencies among these conditions, this research offers valuable perspectives that can guide the formulation of pragmatic, synergistic policies, paving the way for efficient county economic developmental trajectories.

SAGE OpenVol. 14(4)
Anhui University of Finance and Economics (CN), Zhejiang Gongshang University (CN)
Anhui Office of Philosophy and Social Science, National Natural Science Foundation of China
Openalex Percentile: Top 9%
China's Socioeconomic Reforms and Governance
2.23
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