Balancing Efficiency and Equity in Configurational Pathways to Rural Entrepreneurial Activity in China: Evidence from Qualitative Comparative Analysis

Entrepreneurship is widely recognized as a critical engine of economic growth. This is especially true in rural areas, where resources, policy support, and talent pools are often constrained. Stimulating entrepreneurial vitality in these regions has thus become an urgent policy and research priority. This study adopts an inclusive growth perspective, selecting six key elements—economic level, industrial structure, financial development, educational condition, medical condition, and social security—to construct a theoretical model exploring the configuration pathways that drive rural entrepreneurial activity. Using fuzzy set qualitative comparative analysis (fsQCA), the study examines 982 rural regions in China and draws the following conclusions: (1) None of the six key elements is a necessary condition for rural entrepreneurial activity. (2) The “finance and healthcare-driven” type (C1), “industrial and educational balance” type (C2), “financial and educational synergy” type (C3), and “industrial and healthcare support” type (C4) are the configuration paths to achieve high rural entrepreneurial activity. The findings provide both theoretical and practical insights for stimulating entrepreneurship in rural China. Specifically, they highlight how different developmental configurations can activate local entrepreneurial ecosystems, expand employment and entrepreneurship opportunities for vulnerable groups, and contribute to sustainable poverty alleviation.

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Publication Details

Journal
Systems
Published
2025-10-27
DOI
https://doi.org/10.3390/systems13110954
Primary Topic
Qualitative Comparative Analysis Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Balancing Efficiency and Equity in Configurational Pathways to Rural Entrepreneurial Activity in China: Evidence from Qualitative Comparative Analysis

Yanling Zheng, Guojie Xie, Haiquan Chen, Yu Tian et al.
Systems
Qualitative Comparative Analysis Research
article

Balancing Efficiency and Equity in Configurational Pathways to Rural Entrepreneurial Activity in China: Evidence from Qualitative Comparative Analysis

Yanling Zheng, Guojie Xie, Haiquan Chen, Yu Tian, Shu Yan Jiang
article en

Abstract

Entrepreneurship is widely recognized as a critical engine of economic growth. This is especially true in rural areas, where resources, policy support, and talent pools are often constrained. Stimulating entrepreneurial vitality in these regions has thus become an urgent policy and research priority. This study adopts an inclusive growth perspective, selecting six key elements—economic level, industrial structure, financial development, educational condition, medical condition, and social security—to construct a theoretical model exploring the configuration pathways that drive rural entrepreneurial activity. Using fuzzy set qualitative comparative analysis (fsQCA), the study examines 982 rural regions in China and draws the following conclusions: (1) None of the six key elements is a necessary condition for rural entrepreneurial activity. (2) The “finance and healthcare-driven” type (C1), “industrial and educational balance” type (C2), “financial and educational synergy” type (C3), and “industrial and healthcare support” type (C4) are the configuration paths to achieve high rural entrepreneurial activity. The findings provide both theoretical and practical insights for stimulating entrepreneurship in rural China. Specifically, they highlight how different developmental configurations can activate local entrepreneurial ecosystems, expand employment and entrepreneurship opportunities for vulnerable groups, and contribute to sustainable poverty alleviation.

SystemsVol. 13(11)
Sun Yat-sen University (CN), Jinan University (CN), Guilin University of Aerospace Technology (CN), Xiamen University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 59%
Qualitative Comparative Analysis Research
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