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By analyzing the mechanisms by which rural infrastructure resilience (RIR) impacted population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

This study considered 213 administrative villages in Longxi County in the Longzhong loess hilly region as the evaluation unit. Based on the construction of a multidimensional RIR evaluation system, the spatial spillover effect of RIR on population loss was determined using the spatial Durbin model (SDM).

The average resilience of each subsystem of rural infrastructure in Longxi County was low, and there were large differences in the spatial distribution. The mean RIR index value was 0.2258, with obvious spatial directivity and agglomeration characteristics. The population loss index of Longxi County had a value of 0.1759, with 26.29 of villages having a high loss level. The population loss was relatively serious and was correlated with the spatial distribution of RIR. The villages with larger RIR index values had lower population loss. The RIR had a significant spatial spillover effect on population loss. Productive infrastructure resilience and living infrastructure resilience (LIR) had negative spillover effects on population loss, and social service infrastructure resilience (SSIR) had a positive spillover effect on population loss.

By analyzing the mechanisms by which RIR impacted on population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

The purpose of this paper is to investigate the economic relationship with recent changes in China’s land use policy and rural development through innovation and entrepreneurship.

The first issue of economic importance is in understanding the market value of land use rights (LUR) transactions. To examine this, the authors build an argument around the idea of economic and marginal rents from Ricardo. The second issue relates to the extent by which deepening the rural financial landscape by allowing the mortgaging of LUR will promote and advance much needed entrepreneurial activity. To explore this issue, the authors draw on Schumpeter. The empirical contribution is based on a survey of 1,465 farm households in Gansu, Henan, Shaanxi and Shandong provinces.

In an endogenous Two-Stage Least Squares model, the authors find a positive and significant relationship between a willingness to mortgage LUR and entrepreneurship, which suggest that the new policy may well meet that objective. However, the authors do not find that entrepreneurs alone will have a willingness to mortgage LUR; non-entrepreneurs – traditional farmer types – would also be willing to mortgage LUR, but with a caveat that either group already has a disposition or demand for credit.

The value of the analysis is to provide an evidence to understand the market value of LUR transactions and to study the relationship between mortgage of LUR and entrepreneurial activity.

Low levels of human capital in rural China are rooted in the poor schooling outcomes of elementary school students. The purpose of this paper is to provide insight into the distribution of academic performance in rural China and identify vulnerable groups.

The authors draw on a data set of 25,892 observations constructed from 11 school-level surveys spanning nine provinces and one municipality in China conducted from 2013 to 2015.

The authors find that the distribution of academic performance is uneven across provinces and subgroups. In general, male students, Han, living in richer counties, living with their parents and studying in rural public schools do better academically than female students, non-Han, living in poorer counties, left behind and studying in private migrant schools in cities.

Using the results of this study, policymakers should be able to better target investments into rural education focusing on at risk subpopulations.

With limited data sources, the research on the academic performance of students in rural China is largely absent. The findings of this study help to fill the gaps in the literature base.