Can Land Transfer Alleviate the Poverty of the Elderly? Evidence from Rural China

Abstract

This study explores the impact of farmland transfer on the multidimensional relative poverty of the elderly in rural areas to provide a reference for the study of rural land transfer in China and improve the welfare system for the elderly. Based on the China Family Panel Studies (CFPS) rural sample data in 2018, this paper uses the AF multidimensional index measurement method to assess multidimensional relative poverty in rural areas. Logit regression estimation examines the single index poverty of rural older adults transferred from rural land and the impact of multidimensional relative poverty, using the propensity score matching method (PSM) to analyze the results’ robustness. The transfer of agricultural land has different impacts on the poverty of different rural elderly poverty indicators and negatively affects the comprehensive effect of rural elderly poverty. The transfer of agricultural land significantly alleviates rural elderly poverty. Reasonable and effective transfer of agricultural land, together with improved rural social security and a caring service system for the elderly, will promote the continuous operation of large-scale agricultural operations and alleviate rural elderly poverty.

The Influence of Disease Status on Loneliness of the Elderly: Evidence from Rural China

“…To solve the endogenous problem caused by sample selection deviation and other reasons, this paper further tests the robustness of the above regression findings on the impact of the health status of the elderly on loneliness and the impact of major diseases on loneliness. Therefore, this paper uses the propensity value matching method (PSM) to take the elderly with “undamaged health status” as the treatment group in other areas, selects appropriate samples from the samples with “impaired health status” for matching to solve the possible impact of the above problems [ 34 ]. Similarly, this paper takes the elderly without “major diseases” as the treatment group, and selects appropriate samples from other samples with “major diseases” for matching.…”

“…Based on the existing research, the absolute value of the standard deviation after matching is usually equal to 10 as the judgment standard of the matching effect. If the absolute value of the standard deviation after matching is less than 10, the matching effect is better [ 34 ]. It can be seen from Table 6 , Table 7 and Table 8 that before matching, the average standard deviation of characteristic variables is greater than 10, and there are obvious differences between groups, which will cause estimation deviation.…”

“…At the same time, the outflow of the rural young and middle-aged labor force has led to changes in the traditional rural family living mode and intergenerational coexistence mode. Mobility and left behind have a dual impact of increasing space and reducing time [ 32 , 33 , 34 ]. Under this realistic background, when the elderly have physical diseases, their care problems and medical burden break the dynamic balance and intergenerational coexistence mode between mobility and left behind, increasing the risk of the elderly being ignored or even abandoned, and may further deepen the loneliness of the elderly and fall into a vicious circle.…”

Do Livelihood Strategies Affect the Livelihood Resilience of Farm Households in Flooded Areas? Evidence From Hubei Province, China

“…Some scholars have systematically introduced the theoretical content and scientific value of the resilience of farmers' livelihoods, but since the concept of resilience was introduced into the field of farm livelihoods from the discipline of natural ecology, further research on the resilience of farmers' livelihoods needs to be further explored (Alam et al, 2018;Quandt, 2018;Smith and Frankenberger, 2018;Wang et al, 2021;Yang et al, 2021). Based on the research results of previous scholars, this paper constructs an evaluation system of farmers' livelihood resilience consisting of three target layers: buffering, adaptation and restoration, in the context of the further intensification of the threat to farmers' livelihoods caused by floods in Hubei Province as a result of global warming, by combining the links between external disturbances, government management and farmers' livelihood strategies.…”

“…As the most basic economic agents in rural ecosystems, the livelihoods of farmers are most directly affected by floods (Tran et al, 2018;Zhou et al, 2021). Since the 1980s, "livelihood, " a new perspective for the study of rural economy and the sustainable utilization of natural resources, has become a hot topic of academic attention (Quandt, 2018;Wang et al, 2021;Yang et al, 2021). Many researchers have developed a multi category livelihood development analysis framework based on Srinivasan and Amartya (1983) feasible ability theory, Among them, the most widely used is the sustainable living hood approach (SLA) proposed by the United Kingdom Department for International Development (DFID) (Saxena et al, 2016;Quandt et al, 2017;Tsolakis et al, 2021).…”