Decoupling Analysis between Rural Population Change and Rural Construction Land Changes in China

Abstract

Developing countries account for about 86.5% of the world’s population and are experiencing rapid urbanization. Globally, the increase in the urban population is generally accompanied by the expansion of the latter and construction lands, as well as the reduction in the rural population and rural construction lands. However, with the rapid development of urbanization in China, the rural population has decreased, while the proportion of rural construction lands has increased, resulting in a significant waste of land resources. In order to quantitatively characterize the degree of deviation between the permanent rural population and rural construction lands based on the 2009–2016 demographic data and land survey data in China, we comprehensively used the decoupling model and the coordination degree model to analyze the temporal change characteristics, spatial distribution law, and the degree of deviation of rural construction land areas and the number of rural permanent residents. Firstly, according to the decoupling model, the type of decoupling between the area of rural construction lands and the number of rural permanent residents at the national scale was strongly negative. Secondly, according to the coordination degree model, the coordination type between rural construction land areas and the rural resident population was uncoordinated; at the provincial scale, the coordination system involved one city and one district (Beijing and the Tibet Autonomous Region) and the basic coordination of two cities (Tianjin and Shanghai). Xinjiang and Qinghai belonged to the reconcilable type, and the other 25 provinces belonged to the uncoordinated type. Finally, according to the comprehensive measurement model, the number of rural permanent residents and rural construction lands showed two types of decoupling: highly strong negative decoupling incoordination and moderately and weakly strong negative decoupling incoordination.

The Impact of the Urbanization Process on Agricultural Technical Efficiency in Northeast China

“…However, due to the stagnation of economic development in the Northeast Region, an obvious further upward trend of the overall urbanization level was not observed, and some cities (such as Shenyang, Dalian, Changchun, and Daqing), which originally had a relatively high level of overall urbanization, even appeared to undergo the phenomenon of "anti-urbanization". Zhang et al ( 2022) reached similar conclusions [46]. On the contrary, some cities (such as Dandong, Panjin, Jiamusi, and Harbin), which originally had a relatively low level of overall urbanization, show an improvement trend.…”

“…We also selected a series of controlling variables, which can affect the agricultural technical efficiency. The existing research shows that the crop planting structure, agricultural mechanization, financial support for agriculture, and the degree of openness will all have impacts on the agricultural technical efficiency [45,46]. Therefore, we specifically selected the proportion of grain crops in the total sown area of crops (stru), the ratio of the total power of the agricultural machinery to the total sown area of crops (mac), the level of financial support for agriculture (agr), and the agricultural FDI (fdi) as the controlling variables.…”

Pattern and effect of economic agglomeration in the Yangtze River Delta region based on population-land allometric growth

“…It is vital in promoting coordinated regional development and participating in international cooperation and competition. However, there are still some problems in urban agglomerations in China, such as the uncoordinated development of cities and their factors and low efficiency of resource allocation (Fan et al, 2019;Ji et al, 2020;Lin et al, 2021;Zhang et al, 2022). The study of the economic agglomeration effect of population-land allometric growth found that the current rapid economic development in the YRD is still dominated by land expansion, consistent with the results analyzed by scholars using econometric models , and it also shows a time lag in the economic impact of population-land allometric growth between regions.…”

The Forecast and Low-carbon Performance of Land-use in Rapid Urbanization Area under the Multi-objective Spatial Planning: Evidence from Hangzhou, China

“…Due to lack of planning, the idle use of the original homestead and the new demand for construction lands had caused the continuous expansion of rural construction lands(X. Zhang et al 2022). Under the lowcarbon scenario, the rural land is increasingly occupied by the surrounding urban construction land, demonstrating a shrinking trend.…”