2024年5月6日 星期一
中国县域城区建设用地规模与人口规模的协同发展测度研究
Research on the Synergistic Development Measurement of Construction Land Scale and Population Scale in Urban Areas of Counties in China
摘要

为定量刻画我国县域城区建设用地规模与人口规模的协同发展程度, 本文在基于2006— 2016年中国城乡建设统计年鉴的数据, 运用弹性系数模型和离差系数模型测算我国各省县域单元人口规模与建设用地规模的时序变化特征、空间分异差异以及协调发展程度。研究结果表明: ① 我国县城人口数量和县城建设用地面积均呈现先增加后略微减少的变化趋势, 两者于2014年达到 峰值, 之后呈现缓慢下降; ②在不断快速推进的城镇化过程中, 我国县域单元城镇化率远远小于全国平均城镇化率, 县城城镇化水平不及全国城镇化水平的一半。推动我国城镇化进程的主要力量来自于大中城市的发展, 而非县域单元, 人口转移更倾向于大中城市而不是县城; ③基于弹性系数模型得出, 我国除河南、山西和青海外, 其余省份都处于县域城区建设用地规模与人口规模发展不协调的态势, 不协调类型以A类人地同增失调型 (建设用地规模与人口规模增速同为正, 且前者增长率大于后者) 的失调类型为主; ④基于离差系数模型得出, 我国县域单元建设用地与人口增长规模并不协调。我国18个省份处于高度失调的状态, 占比高达64. 29%。其协调程度平均离差系数为2. 32, 远高于我国1. 5的平均离差系数。相关结论可为实现县城的可持续健康发展、优化县域单元结构, 提高县域单元资源的利用效率提供一定的理论参考。

Abstract

In order to quantitatively portray the degree of synergistic development of construction land scale and population scale in county urban areas in China, this paper uses elasticity coefficient model and deviation coefficient model to measure the sequential change characteristics, spatial divergence differences and the degree of synergistic development of population scale and construction land scale of county units in each province in China based on the data of China Urban and Rural Construction Statistical Yearbook from 2006 to 2016. The results of the study show that: ①Both the number of population and the area of land for construction in counties in China show a trend of first increasing and then slightly decreasing, reaching a peak in 2014 and then slowly decreasing; ②In the process of rapid urbanization, the urbanization rate of county units in China is much smaller than the national average urbanization rate, and the urbanization level of counties is less than half of the national urbanization level. Therefore, the main force driving China’s urbanization process comes from the development of large and medium-sized cities, rather than county units. Besides, population transfer is more inclined to large and medium-sized cities than to county cities; ③ Based on the elasticity coefficient model, it is concluded that except Henan, Shanxi and Qinghai provinces, the other provinces in China are in a situation where the scale of construction land in county urban areas is not coordinated with the scale of population, and the type of incoordination is of the type of A disproportionate growth of people and land (the growth rate of the scale of construction land area and the scale of population are both positive and the growth rate of the former is greater than that of the latter) ; ④According to the deviation coefficient model, it is concluded that the scale of construction land scale and population growth in county units in China are not coordinated. Eighteen provinces in China are in a state of high dissonance, accounting for 64. 29% of the total. The average deviation coefficient for their degree of coordination is 2. 32, much higher than the average coefficient of deviation of 1. 5 in China. The relevant research results can provide theoretical reference for realizing the sustainable and healthy development of county cities, optimizing the structure of county units and improving utilization efficiency of county unit resources.

DOI10.48014/fdg.20221220001
文章类型研究性论文
收稿日期2022-12-20
接收日期2023-03-15
出版日期2023-03-28
关键词县域城区, 建设用地增长率, 人口增长率, 弹性系数, 离散系数
KeywordsCounty urban area, growth rate of construction land, growth rate of population, elasticity coefficient model, dispersion coefficient
作者张学儒1,2,*, 刘泽伟1
AuthorZHANG Xueru1,2,*, LIU Zewei1
所在单位1. 河北经贸大学公共管理学院, 石家庄 050061
2. 河北省城乡融合发展协同创新中心, 石家庄 050061
Company1. School of Public Administration, Hebei University of Economics and Business, Shijiazhuang 050061, China
2. Cooperative Innovation Center for Urban-Rural Integration and Development, Shijiazhuang 050061, China
浏览量444
下载量180
基金项目河北省社会科学基金项目(HB19GL043)
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引用本文张学儒, 刘泽伟. 中国县域城区建设用地规模与人口规模的协同发展测度研究[J]. 发展地理学前沿, 2023, 2(1): 1-15.
CitationZHANG Xueru, LIU Zewei. Research on the synergistic development measurement of construction land scale and population scale in urban areas of counties in China[J]. Frontiers of Development Geography, 2023, 2(1): 1-15.