Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration

Abstract

The quantitative analysis of the urban-rural integration development (URID) level and its driving factors is of great significance for the new-type urbanization of urban agglomerations. This study constructed a multidimensional framework in the perspective of a population–space–economy–society–ecology framework to measure the URID level from 2000 to 2020 and further explored the driving mechanism of the URID changes by a geographical detector model in the Hangzhou Bay urban agglomeration (HBUA). The results showed that the land-use change in the HBUA from 2000 to 2020 showed a typical characteristic of the transition between cultivated and construction land. The URID level in the HBUA improved from 0.294 in 2000 to 0.563 in 2020, and the year 2005 may have been the inflection point of URID in the HBUA. The URID level showed a significant spatial aggregation with high values. Hangzhou, Jiaxing, and Ningbo were hot spots since 2015, and the cold spots were Huzhou and Shaoxing. The population and spatial integration had more important impacts on URID levels in 2000, 2005, and 2020, while economic and social integration had more significant impacts on URID levels in 2010 and 2015. This study provided a deeper understanding of the evolution of URID in an urban agglomeration and could be used as a reference for decision makers.

Measuring the Level of Urban–Rural Integration Development and Analyzing the Spatial Pattern Based on the New Development Concept: Evidence from Cities in the Yellow River Basin

“…For example, the construction of the URI evaluation index system occurred in five dimensions: demographic, spatial, economic, social and ecological environment, as a basis for the analysis of the current situation of different URIs, and suggestions for further strengthening the degree of URIs [4]. Evaluation of URI at the national level and research and analysis of URI includes differences between regions in the temporal and spatial dimensions [28,29]. Second, the evaluation method changes from qualitative to quantitative.…”

Can Rural Industrial Convergence Improve the Total Factor Productivity of Agricultural Environments: Evidence from China

“…The comprehensive index of rural labor is constructed using the entropy method, which incorporates rural educational human capital, rural health human capital, and innovation environment support. Following the previous approaches [65,66], rural educational labor is further divided into primary, secondary, and higher education human capital, with heterogeneous human capital calculated using the cumulative years of education method. The situation of rural health human capital is reflected through the annual rural per capita health care expenditure.…”

Design and Application of an Early Warning and Emergency Response System in the Transboundary Area of the Taihu Lake Basin

“…It covers an area of 8280 km 2 and has a population of 10.69 million, accounting for 1/5 of the entire basin [12,13]. The transboundary area has high economic development and is densely populated [14][15][16][17][18][19]. It has more than 190 large and medium-sized rivers and more than 2000 small rivers, resulting in a complex river network with reciprocating flow [11].…”