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Promoting the coordinated development of green agriculture and food security is important for global sustainable development, and digital economy is a potential path to realizing this goal. Using panel data of 30 provinces (municipalities directly under the central government and autonomous regions) in China from 2014 to 2021, this study applies the entropy weight method and the coupling coordination degree model to measure the development of the digital economy and the coordination of green agriculture and food security. Moreover, the study constructs fixed-effects and spatial spillover effect models to determine the effect of the digital economy on the coordination of green agriculture and food security. We find a positive development trend between digital economy and coordination development in China, with no evident polarization phenomenon. The digital economy can effectively promote the coordinated development of green agriculture and food security, and has positive spatial spillover effects. Our findings expand the research related to the digital economy, and contribute to the promotion of sustainable agricultural development and food security.
Promoting the coordinated development of green agriculture and food security is important for global sustainable development, and digital economy is a potential path to realizing this goal. Using panel data of 30 provinces (municipalities directly under the central government and autonomous regions) in China from 2014 to 2021, this study applies the entropy weight method and the coupling coordination degree model to measure the development of the digital economy and the coordination of green agriculture and food security. Moreover, the study constructs fixed-effects and spatial spillover effect models to determine the effect of the digital economy on the coordination of green agriculture and food security. We find a positive development trend between digital economy and coordination development in China, with no evident polarization phenomenon. The digital economy can effectively promote the coordinated development of green agriculture and food security, and has positive spatial spillover effects. Our findings expand the research related to the digital economy, and contribute to the promotion of sustainable agricultural development and food security.
IntroductionThe rapid advancement of digital technology has catalyzed the emergence of “digital villages,” presenting both new opportunities and challenges for the digital transformation of agriculture. This transformation has become a core driving force behind sustainable agricultural development. This paper utilizes panel data from 30 provincial-level administrative regions of mainland China (excluding Tibet) for the period 2011 to 2020 to explore how digital rural development (DRD) impacts agricultural green total factor productivity (AGTFP) and examines its underlying mechanisms.MethodsRegarding variable measurement, the study employs the entropy weighting method to quantify the DRD and uses an extended Data Envelopment Analysis-Malmquist model to assess AGTFP. For the research approach, the study constructs a two-way fixed effects model to evaluate the impact of DRD on AGTFP and explores the underlying mechanisms. Specifically, the study conducts benchmark regression analysis, endogeneity tests, robustness tests, mechanism examinations, and heterogeneity tests.Results(1) DRD significantly enhances AGTFP, a conclusion that remains robust following the province-year clustering robust standard error estimates, winsorization tests, and excluding COVID-19-affected years. (2) Mechanistic analysis indicates that DRD primarily boosts AGTFP by promoting the development of digital inclusive finance (DIF) and facilitating the integration of primary, secondary, and tertiary industries (IPST). (3) Heterogeneity tests show that the positive impact of DRD on AGTFP is more pronounced in regions with higher levels of informatization and central regions of China.DiscussionTo harness DRD’s potential more effectively in fostering sustainable agricultural development, policymakers should concentrate on DIF and the IPST. Additionally, the government should pay close attention to disparities in informatization levels and resource allocation across regions and develop targeted strategies accordingly. Fundamentally, this study aims to elucidate China’s efficacy in rural digitalization and the green transformation of agriculture to an international audience. It seeks to provide insights and guidance on formulating more scientific, efficient, and sustainable strategies for agricultural development worldwide, thereby promoting green agricultural growth and supporting rural revitalization.
Leveraging the transformative potential of digital technologies to support the farmers’ green production transformation (FGPT) is a critical catalyst for facilitating the accelerated green transformation and upgrading of agricultural systems, thereby achieving high-quality agricultural development. Using survey data from major watermelon- and muskmelon-producing regions in Henan, Shandong, and Xinjiang, and employing Ordinary Least Squares (OLS), Propensity Score Matching (PSM), and the Logit model, this study examines the mechanisms through which digital technology influences FGPT. The findings reveal that the adoption of digital technology significantly reduces farmers’ use of pesticides and fertilizers, with a particularly pronounced effect on pesticide reduction. Heterogeneity analysis indicates that the impact of digital technology on reducing pesticide and fertilizer usage varies across regions: while its adoption leads to significant reductions in Henan and Shandong, the positive effects in Xinjiang remain statistically insignificant. Mechanism analysis shows that digital technology enhances FGPT by reducing information asymmetry, improving market access, and enhancing precision management practices. Based on these findings, this study recommends expanding awareness campaigns to accelerate the adoption of digital technology, enhancing digital infrastructure to bridge the urban–rural digital divide, and optimizing digital technology promotion systems. These actions can be taken alongside the implementation of economic incentives and compensation mechanisms. The insights and policy recommendations from this research provide valuable guidance for China and other countries seeking to leverage digital technology for sustainable agricultural development.
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