Aug 2026· Economics and Public Policy· Vol 2, pp. 45· 0 citations· 13 references
TL;DR
In the controlled Tobit model, digital technology remained positively associated with production efficiency and supported targeted investment in rural digital infrastructure, agricultural digital services, inclusive finance, and interregional coordination.
Abstract
This study evaluates agricultural production efficiency in 21 cities and prefectures of Sichuan Province and examines its relationship with digital technology. Output-oriented DEA-BCC/CCR models measure static efficiency, and the Malmquist index decomposes productivity change. A composite digital index covers infrastructure, digital-industry development, and digital financial inclusion. Mean comprehensive efficiency rose from 0.848 in 2011 to 0.966 in 2021. Mean total factor productivity for 2014-2021 was 1.0903 and was driven mainly by technical progress. In the controlled Tobit model, digital technology remained positively associated with production efficiency. The results support targeted investment in rural digital infrastructure, agricultural digital services, inclusive finance, and interregional coordination.
Digital agriculture transforms agricultural production through the Internet of Things, big data, artificial intelligence, and blockchain technologies, improving precision production, resource allocation, and supply-chain transparency. This paper constructs a collaborative model of digital agriculture development and ag...
This study examines whether and how the digital economy promotes high-quality agricultural development in China. Using provincial panel data for 30 provinces from 2005 to 2020, it constructs a multidimensional index covering development scale, efficiency, benefits and cost, and estimates fixed-effects, geographically w...
Promoting digital–agricultural integration is pivotal to cultivating new quality agricultural productivity, spearheading the next wave of agri-technological revolution, and accelerating agricultural modernization. Leveraging provincial panel data from China covering 2014 to 2023 and using a tailored evaluation framewor...
Digital technologies are increasingly integrated into agricultural production, rural services, finance, and information infrastructure, creating opportunities to improve low-carbon agricultural performance. This study develops an applied evaluation framework linking rural digital technology systems with agricultural ca...
Yu-Ming Li, Liu-Di Li, Xiu-Guang Bai et al.· Applied Sciences· 0 citations
Digital transformation may improve productive efficiency while increasing energy and material demand. We examine its association with green economic efficiency (GEE) in a balanced panel of 30 Chinese provincial-level regions from 2012 to 2023. GEE is measured using an undesirable-output, output-oriented, constant-retur...
The article examines the impact of digital technologies on the innovative development of agricultural enterprises in the context of economic digitalization and Industry 4.0. Digitalization is identified as a key driver of production efficiency, resource optimization, labor productivity, and competitiveness. The study c...
Lidiia Fedoryshyna, Yuliia Aleskerova, L. Drymanova· Market Infrastructure· 0 citations
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