The Formation of New Quality Productivity of Agriculture Under the Perspectives of Digitalization and Innovation: A Dynamic Qualitative Comparative Analysis Based on the “Technology-Organization-Environment” Framework

Wei Luo, Shanxiang Zuo (), Shengfa Tang and Changgui Li
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Wei Luo: Business School, Guilin University of Technology, Guilin 541004, China
Shanxiang Zuo: Business School, Guilin University of Technology, Guilin 541004, China
Shengfa Tang: School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China
Changgui Li: Business School, Guilin University of Technology, Guilin 541004, China

Sustainability, 2025, vol. 17, issue 2, 1-25

Abstract: The formation and development of new quality productivity of agriculture can effectively promote agricultural sustainability and modernization. In order to explore the multiple paths of the formation of new quality productivity of agriculture, using the panel data of 30 provincial levels in China from 2012 to 2021, based on the “technology-organization-environment” framework and dynamic QCA method, this paper explores how seven factors such as agricultural technology innovation, digital infrastructure, innovation policy support, the formation of e-commerce industry, marketization level, green finance, and rural culture modernization interact to promote the formation of new quality productivity of agriculture. The findings reveal that none of the above seven factors can promote the formation of new quality productivity of agriculture, and agricultural technological innovation and digital infrastructure are becoming more and more important to the formation of new quality productivity of agriculture over time. The high new quality productivity of agriculture formation models can be categorized into four types: TOE empowers new business model development-driven, government–market–culture triple-driven, market-oriented efficient transformation of technological achievements-driven, and deep integration of agricultural technological innovation and emerging agricultural business models-driven. The configurational results exhibit significant regional effects, with diverse pathways for the formation of new quality productivity of agriculture across different provinces.

Keywords: new quality productivity of agriculture; TOE framework; dynamic QCA; agricultural technological innovation; digital infrastructure (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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