The relationship between place attachments and agricultural land conversion for developing countries had not been studied in many studies. This study aimed to provide empirical evidence of the psychological relationship between place attachment and agricultural land conversion, in contributing to sustainable agriculture in rural areas. The method used was the calculation of the place attachment index, while examining the relationship between latent and dependent variables implemented in Structural Equation Model (SEM), applied in AMOS Software. The result of the Structural Equation Modeling (SEM) calculation demonstrated the relationship between place attachment and agricultural land conversion. The attitude towards land development also had a weight of 0.657, which is substantially optimistic. Also, the weight value indicated that the place attachment relationship positively impacted the desire to maintain land, as maintenance decision was higher when the place attachment was high. That was accompanied by a 31.6% value of R2, meaning that the place attachment influenced 31.6% of the variance in the decision to preserve land.

The issue of food security is important since it affects the region’s economic cycle. The agricultural sector, which serves as a safety net for Indonesia’s food availability and must be optimized to prevent a crisis, is the crucial sector in terms of food security issues. Lamongan Regency is one of the regencies in East Java with the agricultural sector contributing to positive growth and support for sustainable agriculture. Sustainable agriculture demonstrates the existence of a long-term, integrated system linked to various aspects of life quality. This study aims to identify social capital and its relation to quality of life (QoL) in supporting sustainable agriculture. The method used in this research is descriptive analysis to determine the condition of sustainable agriculture and the characteristics of social capital in Sedayulawas Village. A Confirmatory Factor Analysis (CFA) followed by a Structural Equation Model (SEM) Analysis approach is used to determine the relationship between social capital and the QoL community in the village in supporting sustainable agriculture. Structural Equation Model (SEM) analysis shows that social capital, material, community, emotional, health, and safety variables influence the QoL. The community variables explain 81.7% of the variability in farmer QoL. This study advances knowledge about the role of social capital and QoL for communities, particularly farmers, in matters pertaining to sustainable agriculture and food security.

Indonesia's rural regions are characterized by widespread poverty, underemployment, and surplus of low-skilled labor. Migration is common among rural inhabitants for survival, to pursue economic opportunities, and support household activities. The aim of this study is to investigate the relation between social capital and migration from rural areas in Indonesia. The definition of social capital is not derived from theories of networking, bonding and bridging ties, but from community psychology developed by Perkins and Long. A sense of community and a sense of place measure the relation between neighboring, participation in community activity and migration. Using data from 250 household respondents (with at least one migrant worker) in Arjowilangun village, Malang, Indonesia, this study constructs three factors through principal component analysis: sense of community, sense of place, and neighboring. This three factors plus some demographic attributes: income, education and type of migrant, are used as explanatory variables for modeling the relation between social capital and migration using structural equation modeling (SEM). Our results suggest that a sense of place and a sense of community and some demographic attributes significantly influence the duration of work of migrant workers. We concur with hypothesis two, that is, households with higher social capital affordable to send family members as migrant labor