This study analyzes the potentially differentiated impacts of actual and perceived tenure security on rural households' forestland transfer behavior. Logit and Tobit models were estimated using repeated survey data from 505 households in 50 villages of Jiangxi Province during 2017-2018. The results show that there is a great difference in the influence of actual and perceived tenure security on the transfer behavior. Issuing forest tenure certificates promotes the renting out of forestland by households but has no significant effect on forestland renting in. Meanwhile, perceived tenure security has a significant effect on forestland transfer behavior. Households' understanding and evaluation of the existing tenure policy also has a significantly positive impact on household's rent-out behavior. Further, the logging quota system has a significantly negative effect on household's renting in and out behavior. Our analysis suggests that the government should strive to improve the awareness of This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

In the context of the implementation of the rural revitalization strategy, the industrialization of agriculture and rural areas is rapidly increasing, and more and more capable people in rural management are actively leasing land to develop modern agriculture, broaden diversified livelihood channels, and pursue sustainable development. We used leased-in farmland households as an entry point, focusing on the development of rural industries and the choice of livelihood strategies to fill a gap in the existing literature. Based on sustainable livelihood theory, we constructed a sustainable livelihood analysis framework for leased-in farmland households using the survey data of 283 leased-in farmland households in Yudu County. A livelihood capital indicator system was constructed, and the entropy value method and other measurement methods were used. Firstly, we analyzed and comprehensively evaluated the livelihood capital and livelihood strategies of leased-in farmland households in Yudu County, Jiangxi Province. We then used binary logistic regression models and polynomial logistic regression models to analyze the influence of the differentiation in leased-in farmland households’ livelihood capital on the choice of livelihood strategies and their transformation and conducted robustness tests on the relevant findings. Different types of livelihood capital have different effects on agriculture-led livelihood strategies. Natural capital and physical capital have significant positive effects on agriculture-led livelihood strategies, but financial capital, human capital, and social capital have negative effects. Natural capital has a significant negative effect on the pluriactivity strategy, while physical, human, and social capital have insignificant effects on it. For off-farm livelihood strategies, natural capital and financial capital have insignificant effects, physical capital has a significant negative effect, and human capital and social capital have a significant positive contribution.

With the full penetration of the Internet, the Internet has had a great impact on the production and life of rural residents. The article takes a rural residents’ group as its research object to explore the impact mechanism. Leveraging data from the Chinese Family Panel Studies (CFPS) in 2016, we employ a multivariate ordered logit model as an empirical approach to delve into the various dimensions of Internet usage. By examining different facets of Internet utilization, we aim to assess the effects of these distinct uses on the well-being of rural residents. Furthermore, we investigate the mediating role of social capital in understanding the collective well-being of this demographic. The findings of this study are as follows: (1) The utilization of the Internet yields a positive impact on the well-being of rural residents. (2) Social networks exhibit a significant positive influence on the well-being of rural residents; social solidarity demonstrates a significant negative impact on the well-being of rural residents. Additionally, social trust is found to have a significant negative effect on the well-being of rural residents. (3) Regarding mobile phone access, we identify a positive and significant effect on the well-being of rural residents when mediated by social networks and social trust. In contrast, social mutual aid does not exhibit a significant mediating effect. Among the patterns of mobile phone usage, social network and social mutual aid within the realm of social capital emerge as intermediate variables that affect the well-being of rural residents through Internet usage. However, it is worth noting that social trust does not have a significant effect in this regard. These results contribute to our understanding of how Internet usage and social capital interact to shape the well-being of rural communities.

This study uses field survey data from 382 families in the year 2020 in Jiangxi province, China, to explore the effects of land lease and labor migration, a well-known occurrence in China, on rural households’ multidimensional poverty status. We used the A-F method to measure the household’s multidimensional poverty in terms of health, education, income, living standard, and social relations. The Bootstrap Test approach, which worked well with our data, was used to build our mediating effect models while taking into account the influence mechanisms of land leasing and multidimensional poverty. According to our findings, 76.70% of sample homes experience multidimensional poverty at the threshold of 0.33. The reduction of multidimensional poverty is significantly aided by both leasing in and leasing out land. Land lease out and land lease in, however, have asymmetrical effects on multidimensional poverty alleviation, with the proportion of land lease out being 1.147 without control variables and the proportion of land lease in being 0.969 without control variables. Land lease in and lease out have positive effects on the multifaceted alleviation of poverty due to the mediating effect of labor migration. For policymakers to develop and put into action more relevant policies to help multidimensional poverty alleviation, our analysis offers critical insights.