Search Results (6)

Aging is an important trend in the global demographic, with rural population aging becoming a significant challenge due to its faster pace and profound implications. Although the most significant impact of the aging agricultural labor force occurs in agricultural production and land use, little is known about their relationship. Based on the 2010–2018 data from the Chinese Family Panel Studies, this study uses the panel probit model to analyze the impact of the aging agricultural labor force on land transfer and tests its influence mechanism from the aspects of health effect and pension insurance effect. The results show the following: (1) there is an inverted U-shaped relationship between the aging of the agricultural labor force and land rent-in—with the deepening of the aging of the agricultural labor force, the aging of the agricultural labor force shifts from promoting land rent-in to inhibiting it; (2) there is a U-shaped relationship between the aging of the agricultural labor force and land rent-out—with the deepening of the aging of the agricultural labor force, the aging of the agricultural labor force shifts from inhibiting land rent-out to promoting it; and (3) the impact of the aging agricultural labor force on land rent-in and rent-out is significantly affected by farmers’ health levels, however pension insurance does not play a significant moderating role. Therefore, the government should strengthen the land transfer market and improve the level of pension insurance for the elderly rural agricultural labor force. Full article

In the digital age, it is critical to understand the nexus between digital technology (DT) and land rent-out behavior (LRB). It has implications for reducing the rate of land abandonment to achieve sustainable agricultural development. A large dataset (n = 5233) dating from 2016 and coming from the China Family Panel Studies (CFPS) is used to explore the impact of DT on LRB by applying several econometric models, also including the “Recursive Bivariate Probit (RBP) model” and “Chain Multiple Mediation effect (CMM) model”. We provide empirical evidence that the DT’s information sharing effect positively impacted LRB, while an opposite effect is observed by the “digital divide (DT_GAP)” i.e., information exclusion that negatively impacted LRB. We further test the effect of two other variables, namely “digital information dependence” and “non-farm jobs” supposed as mediating factors of DT and DT_GAP in influencing LRB, respectively in a positive and negative way. In particular, the variable “nonfarm jobs” plays a mediating role conditional on the variable “digital information dependence” as a mediating variable at the first level. In addition, statistical tests reveal that the impact of DT and the DT_GAP on LRB is not significant in terms of regional preferences but is significant in terms of age of householder and household income level. Full article

The issues of farmers’ old-age security and land use have long been the focus of Chinese scholars’ and governmental attention. Land transfer plays a vital role in promoting agricultural scale operations, adjusting agricultural structures, and improving land utilization, while the old-age security function of land is one of the important factors affecting land transfer. Based on the data of the China Health and Retirement Longitudinal Study (CHARLS), this study uses the probit and structural equation models to explore social pension and family support mechanisms and pathways with regard to farmers’ land transfer. The results show that: (1) Social pension has a significant negative effect on farmers’ rent-out land, but a significant positive effect on rent-in land. Compared to farmers who do not participate in the New Rural Pension System (NRPS), the probability of rent-out land for farmers who participated in NRPS decreased by 2.44%, and rent-in land increased by 2.26%. (2) Family support has a significant positive effect on farmers’ rent-out land, but a negative effect on rent-in land. (3) Agricultural labor time plays a mediating role in the effect of social pension and family support on both farmers’ rent-out land and rent-in land. Full article

Labor force rural-urban migration will lead to changes to the land use patterns of farmers. Using the survey data on dynamic migration of the Chinese labor force in 2014, iv-probit and iv-tobit models were used to analyze the impact of labor migration on the land transfer of farmers. The results show that: (1) Off-farm employment would significantly impact land transfer of farmers and the results are robust. With every 10% increase in the proportion of off-farm employment of farmers, the average probability of rent-in land of farmers decreases by 1.55%, and the average transfer in land area of farmers decreased by 1.04%. Similarly, with every 10% increase in the proportion of off-farm employment of farmers, the average probability of rent-out land of farmers increases by 4.77%, and the average transfer out land area of farmers increases by 3.98%. (2) Part-time employment also has a significant impact on land transfer of farmers, but the impact of part-time employment on land transfer in is not robust. Specifically, with every 10% increase in part-farm employment, the average probability of rent-out land of farmers increases by 7.64%, and the average transfer out land area of farmers increases by 6.85%. Full article

The development of the land rental market has been widely attributed to the associated institutional regime and the functioning of the off-farm labor market. However, little is known of the interaction effect of these two factors. To fill this gap, we employ a nationwide representative household dataset to investigate the effects of China’s collective forest tenure reform (CFTR) and off-farm employment on forestland transfer in China. Special interest is focused on their potential interaction effect. The Smith-Blundell instrumental variable tobit model is adopted to account for the endogeneity of off-farm employment. The estimation results show that both the tenure reform and off-farm employment significantly influence forestland transactions. However, compared to the positive effect of the reform on both renting in and renting out forestland, the effect of off-farm employment is mixed, that is, its effect is negative when forestland is rented in but positive on rent-out decisions. An important finding is that the CFTR imposes a negative enhancement effect on forestland rent-in through its interaction term with off-farm employment. In contrast, the enhancement effect on rent-out is not statistically significant, which may be due to the neutralization by the endowment effect of the CFTR. Full article

China’s new round tenure reform has devolved collective forests to individuals on an egalitarian basis. To balance the equity–efficiency dilemma, forestland transfers are highly advocated by policymakers. However, the forestland rental market is still inactive after the reform. To examine the role of off-farm employment in forestland transfers, a simultaneous Tobit system of equations was employed to account for the endogeneity, interdependency, and censoring issues. Accordingly, the Nelson–Olson two-stage procedure, embedded with a multivariate Tobit estimator, was applied to a nationally representative dataset. The estimation results showed that off-farm employment plays a significantly negative role in forestland rent-in, at the 5% risk level. However, off-farm activities had no significant effect on forestland rent-out. Considering China’s specific situation, a reasonable explanation is that households hold forestland as a crucial means of social security against the risk of unemployment. In both rent-in and rent-out equations, high transaction costs are one of the main obstacles impeding forestland transfer. A remarkable finding was that forestland transactions occurred with a statistically significant factor equalization effect, which would be helpful to adjust the mismatched labor–land ratio and improve the land-use efficiency. Full article