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Sustainability 2018, 10(3), 661; https://doi.org/10.3390/su10030661

Main Factors Affecting Post-Harvest Grain Loss during the Sales Process: A Survey in Nine Provinces of China

Institute for Food Safety Risk Management, School of Business, Jiangnan University, Wuxi 214122, China
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Received: 4 January 2018 / Revised: 13 February 2018 / Accepted: 26 February 2018 / Published: 1 March 2018
(This article belongs to the Section Sustainable Agriculture, Food and Wildlife)
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Abstract

Ensuring food security has always been a top priority of the Chinese government. However, China’s grain supply is facing challenges due to limited resources for grain production and the growth of domestic grain consumption. Reducing post-harvest grain loss represents one of the most realistic and effective ways to ensure grain security in China. In view of the importance of grain sales in the post-harvest period, we conducted a survey, interviewing 1890 grain sellers across 54 regions in 9 provinces of China, to investigate the factors affecting post-harvest grain loss during sales. The results of the survey show that grain storage conditions have the greatest impact on post-harvest grain loss, followed by transportation. Display and sales have the least impact on grain loss. The Tobit regression model was used to analyze the main factors affecting post-harvest grain loss during sales. The findings suggest that the seller’s education level, years of working as a seller, the conditions of grain storage, and the supply and management level of public facilities in the market were negatively correlated with grain loss in the sales process, whereas the seller’s age, the separation of sales shops and storage warehouses, and the fall season were positively correlated with grain loss. Policy implications are also provided for potential future policy decisions. View Full-Text
Keywords: food security; post-harvest grain loss; sales process; survey; Tobit regression model; China food security; post-harvest grain loss; sales process; survey; Tobit regression model; China
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Chen, X.; Wu, L.; Shan, L.; Zang, Q. Main Factors Affecting Post-Harvest Grain Loss during the Sales Process: A Survey in Nine Provinces of China. Sustainability 2018, 10, 661.

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