Farmland Rental Participation, Agricultural Productivity, and Household Income: Evidence from Rural China

The rural land rental market is playing an increasingly important role in the agricultural transformation period for developing countries, including China, where rural farmland rental is highly context-specific with the implementation of the collective-owned rural land system; thus, in turn, the access to farmland rental markets for rural households has profoundly influenced their livelihood strategies and income earnings. This paper investigates the income impact differences caused by rural households’ farmland rental participation activities and explores such impact mechanisms by further evaluating the income impacts caused by rental area and household agricultural productivity. Data from the Chinese national household survey were used for estimating the empirical models. Our results show that farmland renting has positively affected households’ on-farm and total income, but there is no significant effect upon off-farm income. According to income differences across quantiles, we find households with high on-farm income are more sensitive about enlarging their farm size by renting farmland, and households with middle and upper-middle off-income may benefit more from renting out their farmland. Furthermore, the joint effects of renting area and household agricultural productivity on lessee households’ farm income is significantly positive. For lessor households, our results indicate that renting out farmland did not improve their off-farm and total income as it may have a limited effect on farm household labor distribution. Our findings suggest that engaging in farmland rental activity can enhance farming productivity efficiency and poverty alleviation among rural households. Under the collective-owned rural land system, it is urgent and necessary to initiate and design incentive policies to encourage highly efficient large farms to expand the farm size and provide smallholders with equal opportunities to engage in farmland rental activities.

Report from a Chinese Village 2019: Rural Homestead Transfer and Rural Vitalization

With the economic transition and changes in the urban–rural relationships, rural revitalization has become a great political concern in China. Reforming the rural land system is considered an important prerequisite for the revitalization of the countryside as the homestead transfer can provide new land utilization space for industries. This case study of the “hollow village” (villages with abandoned houses) reconstruction of Wantang in Yiwu city, which is a homestead system reforming pilot, aims at making a detailed analysis of the specific practice of homestead transfer. It analyzes the roles and functions of the local village collective organization in the reform of homestead transfer. From the capitalization on homestead value, the effect of densification of housing, and the effect of labor resource diversification of homestead transfer, this paper analyzes how the village collective uses the policy of the “hollow village reconstruction” to realize rural revitalization and farmers’ welfare. A conclusion is that the village collective’s leadership and mobilization played an indispensable role in the process of homestead system reform. Building up industry is the key factor for the village’s revitalization. It is significant not only for the use of the homestead resource but also for creating off-farm employment. Our findings also emphasize the need for bottom-up village collective initiatives to align with top-down government policy, regional resource endowments and enterprises, to achieve rural revitalization.

Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China

More and more studies on land transfer prices have been carried out over time. However, the influencing factors of the industrial land transfer price from the perspective of spatial attributes have rarely been explored. Selecting 25 towns as the basic research unit, based on industrial land transfer data, this paper analyzes the influencing factors of the price distribution of industrial land in Dingzhou City, a rural land system reform pilot in China, by using a geographically weighted regression (GWR) model. Eight evaluation factors were selected from five aspects: economy, population, topography, landform, and resource endowment. The results showed that: (1) Compared with the traditional ordinary least squares (OLS) model, the GWR model revealed the spatial differentiation characteristics of the industrial land transfer price in depth. (2) Factors that have a negative correlation with the industrial land transfer price include the proportion of cultivated land area and distance to the city. Factors that have a positive correlation with the industrial land transfer price include the population growth rate, economic growth rate, population density, and number of hospitals per unit area. (3) The results of GWR model analysis showed that the impact of different factors on the various towns of different models had significant spatial differentiation characteristics. This paper will provide a reference for the sustainable use of industrial land in developing countries.

Seventy Years of changes in China’s rural land system: Review, enlightenment and outlook

The paper introduces five stages of reforms to China’s rural land system since the establishment of the People’s Republic of China. From the process of China’s rural land policy and legislation, some conclusion may be drawn: reforms of the rural land usage system should be appropriate to its economic base and the will of the peasants should be respected. The paper indicates: in the near future, the peasant collective ownership of land will not change; foreseeably, land use pattern in China will be diverse; at the same time, China will focus more on sustainable and ecological use of land; The land rights and interests of the farmers and peasant collectives will be safeguarded better.