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Part-time farming is a widespread phenomenon associated with the long-term global trend of urbanization, especially in China since its reform and opening-up in 1978. The shift of agricultural labor to non-agricultural sectors has significantly impacted cultivated land use activities, yet the connection between part-time farming and cultivated land use sustainability (CLS) remains understudied. Here, we construct an index system for assessing CLS that integrates ecological, economic, and social sustainability. Using survey data from seven Chinese villages across three provinces, we analyze the impact pattern and mechanism of part-time farming on CLS. We find the following: (1) The impact of part-time farming on CLS presents an inverted U-shape, peaking negatively at a 45% inflection point; (2) Spatial heterogeneity exists in the effect of part-time farming on CLS; (3) A household’s non-agricultural workforce size and the gender of the household head significantly moderate the link between part-time farming and CLS; (4) CLS strongly hinges on various factors including the household head’s health, other family members’ education levels, commercial insurance, and agricultural skills training. Our findings provide empirical insights into governing part-time farming for sustainable cultivated land use and, eventually, rural human–land system sustainability.

The rent-free farmland transfer that exists widely in China’s rural areas is a topic worthy of attention. Particularly, the regional heterogeneity of its occurrences implies regional cultural heterogeneities. Using local dialects to proxy regional cultural features, this study applies econometric methods to examine the impacts of dialect diversity on rent-free farmland transfers. It also considers possible mechanisms through a mediation analysis, based on a combined two-year rural household survey dataset from the Guangdong and Jiangxi Provinces in 2015 and 2016. Robust estimation results reveal that dialect diversity increases the probability of rent-free farmland transfers at the household and village levels. According to the mediation analysis, dialect diversity influences villages’ farmland abandonment, rural farmland market development, and the flexibility of farmland transfer contracts, which further affects rent-free farmland transfer. Rent-free farmland transfer depends on social trust and contracts’ self-fulfilling advantages. Therefore, cultural and traditional factors should be taken into consideration, which would form beneficial interactions between the selections of rural farmland institutional arrangement and land rights policy implementations.

Heterogeneous land development opportunities induced by spatial regulation produce different advantages in areas, which undoubtedly differentiates farmers’ employment. The aim of this study was to quantitatively examine its impact. We selected Moshui Lake City Park (urban development planning area), Sino-French Eco-City (industrial development planning area), and Chenhu International Wetland (ecological protection planning area) as its principal research areas. These regions are all located in Wuhan city, Hubei province, China. After obtaining 907 valid responses from rural households, the Tobit model was adopted to identify the impact of land development opportunities on farmers’ nonfarm employment. The results show that, first, industrial development opportunity (IDO) and urban development opportunity (UDO) provide more job security than the reference group, which is ecological development opportunity (EDO), with the estimated coefficients of IDO and UDO being 0.325 and 0.944, respectively. However, a negative correlation was found between UDO and farmers’ employment selection and income. Second, heterogeneity analysis reveals that the promotion effect of land development opportunities on farmers’ employment is more significant for low- and middle-income, low-quantity, and high-quality households. Finally, further analysis shows that IDO can promote employment for all age groups, but UDO inhibits the elderly labor force from getting employed. These findings provide evidence-based insights which can enable the government to formulate land value-added distribution systems that promote balanced development between regions and stakeholders.

Land resources are important for millions of rural households in China. With the land tenure system reform and the trend of nonfarm employment, land transfer affects household income and consumption diversity significantly. Utilizing the data from the China Family Panel Studies (CFPS) 2018, this study investigated the effects of land transfer on Chinese rural households’ consumption diversity, measured by the Simpson index. In order to mitigate the endogeneity problems caused by reverse causality and selection bias between farmers’ household land transfer decisions and consumption behavior, we employed the propensity score matching (PSM) method and instrumental variable (IV) method. Besides, the Shannon index was also used to measure consumption diversity for the robustness test. The results showed that the rural households who have transferred others’ land in would decrease their consumption diversity, while the households who have transferred their land out would increase their consumption diversity. Heterogeneity analysis showed that land transfer had different degrees of impact on rural households with different income groups and was more significant for low-income households. Specifically, compared with higher-income households, both the promotion effect of land transfer out and the inhibitory effect of land transfer on consumption diversity were more obvious for lower-income households.

Ensuring food and nutrition security (FNS) is a formidable challenge under increasing population pressure. Governments around the globe have been striving to achieve this goal, but a major impact is attainable once the masses opt for measures at the household level. We conducted this study to explore household-level practices aimed at ensuring FNS and their association with FNS in rural Pakistan. Using cluster analysis, we divided a sample of 200 randomly selected rural households into high and low FNS groups, the majority of which belonged to the low FNS group. Logistic regression was applied to explore the association between household-level measures with the FNS of rural households. The households in the high FNS group adopted a greater number of measures for ensuring FNS. Households headed jointly by a male and female showed to have a higher likelihood of FNS. Similarly, households adopting diversification strategies on their farms were more likely to have high FNS. Moreover, households with working women exhibited a greater probability of experiencing high FNS. Similarly, households’ adoption of value addition in dairy products decreases the probability of food and nutrition insecurity. This study concludes with an emphasis on women’s empowerment, off-farm income diversification, and on-farm enterprise diversification to address FNS challenges.