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The impact of agricultural cooperatives on apple farmers’ technical efficiency (TE) in China was examined. The cooperatives were divided into two groups: a collective marketing group for farmers and an equivalent non-marketing group that did not provide a marketing service, although other functions remained the same. Using the propensity score matching (PSM) procedure and stochastic production frontier (SPF) modelling, cooperatives’ key functions that potentially increase farmers’ TE can be identified. The results indicate that membership of either group is positively related to yield. However, cooperatives that were not engaged in marketing achieved higher TE than non-members. This suggests that policy makers should encourage cooperatives to focus on activities that do not include direct marketing to increase TE in apple production in China.
Ruopin Qu; Yongchang Wu; Jing Chen; Glyn Jones; Wenjing Li; Shan Jin; Qian Chang; Yiying Cao; Guijun Yang; Zhenhong Li; Lynn Frewer. Effects of Agricultural Cooperative Society on Farmers’ Technical Efficiency: Evidence from Stochastic Frontier Analysis. Sustainability 2020, 12, 8194 .
AMA StyleRuopin Qu, Yongchang Wu, Jing Chen, Glyn Jones, Wenjing Li, Shan Jin, Qian Chang, Yiying Cao, Guijun Yang, Zhenhong Li, Lynn Frewer. Effects of Agricultural Cooperative Society on Farmers’ Technical Efficiency: Evidence from Stochastic Frontier Analysis. Sustainability. 2020; 12 (19):8194.
Chicago/Turabian StyleRuopin Qu; Yongchang Wu; Jing Chen; Glyn Jones; Wenjing Li; Shan Jin; Qian Chang; Yiying Cao; Guijun Yang; Zhenhong Li; Lynn Frewer. 2020. "Effects of Agricultural Cooperative Society on Farmers’ Technical Efficiency: Evidence from Stochastic Frontier Analysis." Sustainability 12, no. 19: 8194.
Precision agriculture has the potential to deliver improved and more sustainable food production. Despite the various Chinese policy initiatives to strengthen national food security, there is evidence that the adoption of precision agriculture technologies in China has been much lower when compared to other developed agricultural economies. This study therefore aims to explore factors that determine Chinese farmers’ adoption of precision agriculture technologies in cropping systems and to provide recommendations on technology promotion in the future. The current status of precision agriculture adoption by smallholder farmers within crop farming systems in the North China Plain was explored. An integrated model of “Adapted Unified Theory of Acceptance and Usage of Technology (AUT2)” was developed to explain individual farmers’ intention to adopt precision agriculture. 456 surveys were conducted via face to face interviews in the North China Plain and structural equation modelling analysis was used to estimate the proposed AUT2 model. The results showed that perceived need for technology characteristics (PNTC), perceived benefits, perception of the efficacy of facilitating conditions and perceived risks of adoption have significant impacts on farmers’ intention to adopt precision agriculture. The facilitating conditions (e.g. knowledge, resources and access to consultant services) were the best predictor improving Chinese farmers’ willingness to adopt these technologies. Policy makers and service providers need to consider these factors in the promotion of technologies.
Wenjing Li; Beth Clark; James A. Taylor; Helen Kendall; Glyn Jones; Zhenhong Li; Shan Jin; ChunJiang Zhao; Guijun Yang; Chuanmin Shuai; Xin Cheng; Jing Chen; Hao Yang; Lynn J. Frewer. A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems. Computers and Electronics in Agriculture 2020, 172, 105305 .
AMA StyleWenjing Li, Beth Clark, James A. Taylor, Helen Kendall, Glyn Jones, Zhenhong Li, Shan Jin, ChunJiang Zhao, Guijun Yang, Chuanmin Shuai, Xin Cheng, Jing Chen, Hao Yang, Lynn J. Frewer. A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems. Computers and Electronics in Agriculture. 2020; 172 ():105305.
Chicago/Turabian StyleWenjing Li; Beth Clark; James A. Taylor; Helen Kendall; Glyn Jones; Zhenhong Li; Shan Jin; ChunJiang Zhao; Guijun Yang; Chuanmin Shuai; Xin Cheng; Jing Chen; Hao Yang; Lynn J. Frewer. 2020. "A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems." Computers and Electronics in Agriculture 172, no. : 105305.