Differentiation of Rural Development Driven by Natural Environment and Urbanization: A Case Study of Kashgar Region, Northwest China

Abstract

With the socio-economic transformation, the recombination of regional development factors and the followed reconstruction of the rural development elements system have profoundly changed the rural landscape of the Kashgar region in Northwest China. The factors affecting the rural production and lifestyle interact with each other, shaping different types of rural development. Accordingly, basing on the main factors influencing the rural development ability and long-term development potential, the assessment indicator system of rural comprehensive development (RCD) was established to reveal the differentiation of rural development and identify the dominant factors affecting rural development. The principal component analysis method and the cluster analysis method was used to distinguish the different types. The results show that the high-level rural development areas are mainly concentrated in the center of the region, while the low-level areas are mainly distributed in the periphery, with significant spatial differentiation characteristics. We divided the rural development into three categories and 11 zones for which the basic natural conditions and external challenges are different. The categories reflect three possible results of rural development: grow, decline, and vanish, which is in the industrialization development stage. With the transformation of human society and the change of urban–rural relationship in its mode and content, the external economy, society, and changing environment has put pressures on rural areas. Therefore, according to different rural development types, it is necessary to take measures to strengthen the rural areas to cope with external environmental challenges.

Characterizing Industrial-Dominated Suburban Formation Using Quantitative Zoning Method: The Case of Bekasi Regency, Indonesia

“…The source of all statistical data is from the Village Potential Data (PODES) in 2018, released by the Central Statistics Agency (BPS). The population variable (K1, K2, and K3) in the URD concept denotes urbanization forces in terms of human capital as well as shows transformation and classification of a region to be considered as rural or urban areas, with population growth and density being the main characteristics on population variable [53]. The land-use (P1, P2, and P3) variable in the URD concept indicates the main activities.…”

Classification of Rural Areas in Serbia: Framework and Implications for Spatial Planning

“…The first step of the applied methodology (Figure 3) included the method of multivariate analysis. Multivariate analysis is widely used in spatial research as well as in rural research and delimitation [3,14,17,18,31,49,[60][61][62][63][64][65][66][67][68][69][70][71][72]. In this study, factor analysis (FA) was used, which relies on the principal component method (PCA) to identify key factors that describe rural areas.…”

Decline in Environmental Quality and Spatial Dynamics of New City Area Development Metropolitan Mamminasata, South Sulawesi, Indonesia

“…Furthermore, the increase in socio-economic activities coupled with infrastructure development contributes to changes in spatial structure and urban spatial patterns. This means that the centralization of economic activity through the support of urban infrastructure will form a hierarchy of service centers and influence land use patterns [27,28]. The impact of changes in land use in the new city area is presented in Table 3 below.…”