Research on the Integration and Innovation Model of New-Style Operational Entities in Old Revolutionary Areas Empowered by Digitalization: Based on Configuration Analysis
DOI: https://doi.org/10.62381/E264312
Author(s)
Minglin Zhang1,*, Huaxu Li2
Affiliation(s)
1Guangdong Vocational and Technical College, Foshan, Guangdong, China
2Jiangxi Provincial Academy of Social Sciences, Nanchang, Jiangxi, China
*Corresponding Author
Abstract
This paper focuses on the integrated innovation of new agricultural operators in old revolutionary base areas empowered by digitalization. Aiming at the problems of weak agricultural foundation, lagging digital transformation in these areas, and existing studies focusing on single factors while ignoring regional particularities, it conducts an empirical study using the fsQCA configurational analysis method. Defining core concepts such as digital empowerment, new agricultural operators and integrated innovation, it selects six conditional variables and uses 256 valid survey data from old revolutionary base areas like the Dabie Mountains and Jinggang Mountains to explore the driving mechanism of high-level integrated innovation. The study shows that no single condition is necessary for high-level integrated innovation; multiple factors form multiple equivalent paths, identifying four configurational models: synergistic-driven, leverage-incubated, environment-responsive and endogenous-led. Social network is the core cornerstone of all models, policy support plays a key role, and operator capability is context-dependent. Breaking through single-factor determinism, it reveals the complex causality and asymmetry of digital empowerment. Finally, corresponding countermeasures are proposed to provide theoretical and practical guidance for these areas to promote integrated innovation and rural revitalization through digital technologies.
Keywords
Digital Empowerment; New Agricultural Operators in Old Revolutionary Base Areas; Integrated Innovation; Models
References
[1] Zhang S H, Yang J X, Zeng J X. How Can Digital Empowerment Improve the Quality of Entrepreneurship of Returning and Entering Rural Personnel——An Explanation Based on the Empowerment Theory. Rural Economy, 2024, (01):102-111.
[2] Yang Y Q, Wang X H. Digital Empowerment and High-Quality Development of Urban Economy——A Quasi-Natural Experiment Based on National Big Data Comprehensive Pilot Zones. Inquiry into Economic Issues, 2023, (12):105-123.
[3] Liu X X, Yang Y Q, Sun Z J. The Construction and Evolution of Enterprise Digital Capabilities——An Exploratory Multi-Case Study Based on Leading Digital Enterprises. Reform, 2024, (10):45-64.
[4] Liu F H. Digital Empowerment, Enterprise Type and Investment Efficiency. Economic Issues, 2022, (11):67-75. DOI:10.16011/j.cnki.jjwt.2022.11.012.
[5] Jiao Y. Digital Economy Empowering Manufacturing Transformation: From Value Reshaping to Value Creation. Economist, 2020, (06):87-94. DOI:10.16158/j.cnki.51-1312/f.2020.06.010.
[6] Wolfert S, Ge L, Verdouw C, et al. Big Data in Smart Farming-A review. Agricultural Systems, 2017, (153):69-80.
[7] Chen Y M. Mechanism Innovation of the Integrated Development of Digital Economy and Rural Industry. Issues in Agricultural Economy, 2021, (12):81-91.
[8] Zhang Y. On the Conditions and Paths of the Formation of New Agricultural Business Entities in China: An Analysis from the Perspective of Agricultural Factor Agglomeration. Modern Economic Science, 2014, 36(3):112-117+128.
[9] Zhang X W, Liu G. Research on the Integration and Innovation Mechanism of Artificial Intelligence and Traditional Industries——Based on the Analysis of China's Intelligent Security Industry Innovation Network. Studies in Science of Science, 2022, 40(06):1105-1116. DOI:10.16192/j.cnki.1003-2053.2022.06.002.
[10]Zhang H Y. The Institutional Characteristics and Development Orientation of China's Modern Agricultural Operation System. Chinese Rural Economy, 2025(01):23-33