基于灰色理论的辽宁省城市收缩识别与趋势分析

Weihao Zhang, T. Yan, Zihao Tan, Ziyan Wang
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引用次数: 0

摘要

通过构建城市收缩评价指标,对辽宁省30个城市进行了分析。根据评价指标体系划分城市收缩程度。通过构建人口经济弹性模型,定量分析经济社会各因素对萎缩城市人口变化的影响。结果表明,有5个地级市和13个县级市出现中度收缩,6个地级市出现严重收缩。辽宁经济每增长1%,人口规模就会减少2%,说明辽宁省大部分城市都是智能萎缩城市。此外,选取了12个典型萎缩城市作为主要研究对象。在12个时间序列通过秩比较检验后,基于GM(1,1)灰色预测模型建立数学模型。然后对12个地级市的城市综合指数和城市收缩进行了预测。
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Identification and trend analysis of urban shrinkage in Liaoning province based on grey theory
Through the construction of urban shrinkage evaluation indicators, we analyze 30 cities in Liaoning Province. We divide the degree of urban shrinkage according to the evaluation index system. Through the construction of population economic elasticity model, quantitative analysis is made on the impact of various factors in the economic society on the population change of the shrinking city. The results show that there are 5 prefecture-level cities and 13 county-level cities with moderate shrinkage, and 6 prefecture-level cities with severe shrinkage. Liaoning's economic growth of 1%, the population size will be reduced by 2%, indicating that most cities in Liaoning Province are smart shrinking cities. In addition, 12 typical shrinking cities are selected as the main research objects. After 12 time series pass the rank comparison test, a mathematical model is established based on GM (1,1) grey prediction model. Then we predict the urban comprehensive index and urban shrinkage of 12 prefecture level cities.
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