![]() ![]() The loss was 1.4% in Malawi and 5.9% in Uganda based on data from 2932 farmers. Kaminski and Christiaensen conducted a survey of maize losses in Malawi and Uganda using a questionnaire, and they measured a maize plant. Chegere calculated a 2.9% loss in corn harvesting using survey data from 420 households in rural Tanzania that were corn farmers. Researchers from home and abroad have calculated the degree of harvest loss for various grain types in various locations. As a result, it has a tough time controlling food losses. China, the greatest grain producer in the world, loses more than 70 billion catties of grain annually. Moreover, 2 billion extra people could be nourished if food losses were completely eliminated. Therefore, it is of great theoretical and practical significance to study the impact of agricultural land management scale on grain loss in farmers’ harvests.Ī third or more of the grain produced worldwide is wasted annually, with harvest-to-retail losses accounting for around 14% of the total. The change in harvest mode, labor force structure, and household size caused by the expansion of farmland management scale are progressively emerging as significant factors influencing farmers’ resource allocation in agricultural production, thus influencing grain loss during the harvesting process. As the “separation of three rights” reform of rural land progresses, more farmers are participating in land transfers, and farmland management has become somewhat integrated on a larger scale. However, current research on the behavior of grain loss in the farming production process has yet to receive sufficient attention. Reduced grain loss is an effective strategy to address grain loss since it is difficult to significantly raise the production efficiency of cultivated land when resources and other factors are limited. Based on this relationship, it was concluded that recent trends are unlikely to be sustainable. The long-term relationship linking farmland prices, rents, and rates of return has been analyzed. ![]() About two-thirds of farmland in the Czech Republic has been affected to some extent. From the perspective of sustainable agricultural production, to understand the need for sustainable agricultural development, one must realize that over the past 40 years, one-third of the world’s arable land has been lost. However, China’s grain output is being constrained by increasing resource, environmental, and factor restrictions, such as a decrease in the quantity and quality of farmed land, a scarcity of water resources, and an increase in production and operation expenses. There are numerous studies now being conducted on the influence of farmers’ concurrent business behavior, farmers’ aging, land transfer, agricultural mechanization services, grain subsidies, and other factors on grain production efficiency. In order to decrease grain losses during the harvest process, this paper suggests expanding the size of agricultural enterprises, developing new agricultural corporate organizations, and further playing the role of the rural land market. The increase in agricultural capital investment in the harvest link considerably reduced this effect. It was discovered that the scale of agricultural land management has an indirect effect on grain loss in the harvest link via the input of agricultural capital in the harvest link. This study also constructed an intermediary model, investigated the influence mechanisms, and added agricultural capital as a variable in the harvest link. The findings revealed that the scale of farmland operation directly influenced the grain loss during harvest and that this effect is greatly reduced as the farmland operation scale increases. This research extensively discusses the impact of farmland management scale on grain loss in the harvest process based on survey data on farmers’ productivity in the Shandong and Hebei provinces of China. ![]() ![]() Previous studies have demonstrated that grain loss in the harvest process accounts for a large loss in all aspects of the grain supply chain. ![]()
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