Factors Influencing Rural Households’ Decision-Making Behavior on Residential Relocation: Willingness and Destination

Abstract

All the traditional models of centralized residence based on “building a new socialist countryside” and “maintaining a balance between the increase and the decrease” are top-down in nature and require farmers to make responses and readjustment to all possible policies and changes. Therefore, it’s important to understand farmers’ preferences and take their willingness and needs into account when designing and implementing the relative planning programs of centralized residence. In this paper, with the numerical value 10 as the criterion of Events Per Variable (EPV) and Variance Inflation Factor (VIF), four different types of binary logistic regression were respectively applied to analyze factors that may influence farmer households’ relocation willingness and relocation destination in the following five aspects: Individual characteristics, household characteristics, housing characteristics, farmland characteristics, and implementation environment of centralized residence. As indicated in the results, people would show more willingness to relocate when they were younger, had higher household income, lived in an older building, possessed a bigger building area, owned farmland with higher quality, or lived in an environment with a higher infrastructure match rate. In addition, household income was a common factor influencing households’ choice between nearby relocation sites (NRS) and urban areas as their relocation destinations. The building area and occupancy rate negatively affected households’ choice of NRS, while building age negatively affected that of urban areas. Based on these influencing factors, some policy suggestions are proposed in this paper in terms of job creation, implementation of zoning and classification strategies, improvement of the quality of land transfer services, and reconstruction of the rural landscapes.

Exploring the Factors of Farmers’ Rural–Urban Migration Decisions in Bangladesh

“…The separation between members of households has contributed to low fertility rates in migrant families [36]. Some earlier studies focused on factors affecting the migration of household members from rural to urban and vice versa and the impact on land-use changes, urbanization, and food security from the general perspective [37,38]. However, limited studies have focused on adults, male and female [39], and tribal groups [40].…”

“…However, limited studies have focused on adults, male and female [39], and tribal groups [40]. The earlier investigations widely analyzed rural laborers' decisions to migrate (participate in off-farm activities) and their destination (e.g., local employment, within the county, within the province) [37]. Though some studies have examined the time-use of off-farm jobs, they have mainly focused on proactivity (participating in both onand off-farm work) [17].…”

Spatiotemporal Evolution and Transformation Regulation Strategies of Rural Residential Land on the Grand Canal (China)

“…It includes research on the spatial differentiation and change in rural residential areas [9,10], the spatiotemporal relationship and transformation of rural and urban construction land [11,12], land structure and transformation of rural residential areas [13][14][15], and the impact of rural residential areas on the social economy [16]. The methods include remote sensing and spatial analysis technology (ArcGIS), while the research scope involves different villages, towns, counties, cities, provinces, and countries [17][18][19][20][21]. The characteristics of rural residential land change vary significantly among different administrative units due to different driving factors.…”

Spatial Differentiation and Optimization of Rural Residential Land on the Grand Canal (China) Based on Remote Sensing Data

“…It includes research on the spatial differentiation and change of rural residential areas [9,10], the spatiotemporal relationship between and transformation of rural and urban construction land [11,12], and the impact of rural residential areas on social economy [13]. The methods include remote sensing and spatial analysis technology (ArcGIS), while the research scope involves different villages, towns, counties, cities, provinces, and countries [14][15][16][17][18]. The characteristics of rural residential land change vary significantly among different administrative units due to different driving factors.…”