Abstract Studying the abandonment status of mountain terraces and its determinants, as well as exploring opportunities for the sustainable use of mountain terraces, are of great significance for the protection of regional cultivated land resources. The present study analysed eight typical villages in Jianhe County, Guizhou Province, China, as examples. A combination of high‐resolution remote sensing images and farm household survey data were used to explore the abandonment of terraces in mountainous areas. A multi‐level logistic model was constructed to analyse the determinants of terrace abandonment based on three levels: plot, household and village. The results show that serious terrace abandonment occurred in the study area, with 33.78% of all terraces having been abandoned. The plot and household levels were important in influencing terrace abandonment by farmers. At the plot level, terrace abandonment is more likely to occur on small plots found at a long distance from residences with poor irrigation conditions and collapsed ridges. At the household level, households where the head had a relatively high level of education and households with relatively small agricultural labour forces and lower degrees of mechanisation had a higher probability of their terraces being abandoned. At the village level, a relatively high risk of terrace abandonment was found in villages relatively close to an administrative centre, with a low land transfer rate and a low rate of forest coverage. In conclusion, carrying out land consolidation projects and improving agricultural infrastructure in mountainous areas are important means to achieving the sustainable use of terraces.
Due to the indivisibility of agricultural machinery in production, limited farm sizes have reduced mechanization efficiency and increased the cost of grain production in China. As a result, the development of a moderate-scale farming system has been proposed by academic communities and policy makers. However, it is still hotly debated how to determine a moderate farm scale. We offer a new perspective on the costs of machinery services. This manuscript employs the threshold model and uses the nationally representative data from the 2015 China Rural Household Panel Survey (CRHPS) to investigate the role of farm size expansion relative to per area machinery services expenditures (PAMSE). The empirical results reveal that there is a nonlinear relation between the farm size and PAMSE. Specifically, farm size expansion can reduce the PAMSE by improving mechanization efficiency in all cases, while the magnitude of cost-saving is progressively reduced in the process of farm scale expansion. In particular, a 1 mu (1 mu = 1/15 ha) increase in the farm scale could only lead to a 0.3% decrease in the PAMSE when the farm size exceeded 50 mu, which indicates that 50 mu is a minimum efficient farm scale to achieve most economies of scale. Therefore, we suggest that persistent efforts should be devoted to improving farmland circulation efficiency and developing scale farms. More importantly, governmental supporting policies, such as agricultural subsidies, need to attach more importance to these large farms.
In order to improve the rural labor productivity and farmers’ income, land use transfer was launched and encouraged in recent years, especially the Thirteenth Five-Year Plan (2016–2020). This study aims to shed light on the impact of land use rights transfer on household labor productivity, based on a case study of Chongqing in China. Studies have revealed that land use transfer entails a process of self-selection and does not occur in a random manner. The study, therefore, addressed the issue of sample selection by applying propensity score matching. The study results suggested significant differences in the effects of land use transfer on household labor productivity. Specifically, renting land from other households had a positive effect on total labor productivity (TLP) and agricultural labor productivity (ALP). Moreover, TLP and ALP were found to be higher for households that rented more land or that were located in plain areas. Renting out land had a robust and positive effect on the TLP and non-agricultural labor productivity (NALP). TLP and NALP were also higher for households that rented out more land or that were located in plain areas. These findings suggest that land use transfer should be actively encouraged in plain areas. However, in mountainous areas, there is a need to pay more attention to expanding agriculture to benefit poor and marginalized populations in these areas.
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