From Traditional to Smart: Exploring the Effects of Smart Agriculture on Green Production Technology Diversity in Family Farms

Yixin Hu, Mansoor Ahmed Koondhar and Rong Kong ()
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Yixin Hu: College of Economics and Management, Northwest A&F University, Xianyang 712100, China
Mansoor Ahmed Koondhar: College of Economics and Management, Northwest A&F University, Xianyang 712100, China
Rong Kong: College of Economics and Management, Northwest A&F University, Xianyang 712100, China

Agriculture, 2023, vol. 13, issue 6, 1-19

Abstract: The application of smart agriculture is increasingly becoming a critical force in transforming the traditional methods of agricultural production in China. This change, based on technological innovation, is essential to promoting a sustainable production system in family farms. This study is based on the resource orchestration theory to investigate how smart agriculture affects the diversity of green production technologies (GPTs) on family farms. Based on a sample of 563 family farms surveyed in 2022, this study utilizes propensity score matching (PSM) methods and instrumental variables to analyze the effect of smart-agriculture adoption on the diversity of GPTs on farms. The findings reveal that smart agriculture has significantly increased the diversity of GPTs on farms by 8.5%. Network consulting services, value-added products, and environmental monitoring services are potential impact mechanisms underlying the positive effects of smart agriculture on the diversity of GPTs on farms. Furthermore, the increased diversity of GPTs is more significant on purely plantation farms, farms without contract farming, and farms with high levels of mechanization.

Keywords: smart agriculture; green production technology; diversity; family farm; China (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
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