摘要
运用城镇化率代表新疆地区的城镇化发展水平,用人均GDP表示经济发展,选取产业结构具体分析城镇化与经济发展的相互作用情况。用地理探测器模型分析新疆的城镇化与经济发展间的相互影响及两者之间的时空相互作用机制。结果发现:(1)新疆各地州(市)的城镇化发展差异大且城镇化整体发展速率缓慢。(2)地区间的产业结构布局不均衡。(3)新疆城镇化对经济增长的影响力表现为波动增长;各地区的作用力大小存在较大差异。(4)新疆城镇化发展对经济发展的作用强于经济发展对城镇化进程的作用。
Xinjiang,China is located in the hinterland of Asia-Europe and its strategic position is very important.Geographically,Xinjiang is mainly divided into three regions:Eastern Xinjiang,Southern Xinjiang,and Northern Xinjiang,with a total of 15 prefectures(cities).In recent years,the speed of urbanization and economic development in Xinjiang has been relatively fast,and by investigating the relationship between them,it is possible to provide a reference for urbanization and economic development in Xinjiang.This paper mainly analyzed the mutual promotion between urbanization and economic development in Xinjiang,and explored which one could have a stronger influence on the other.The paper used the social data from 2005 to 2016,the non-agricultural population to indicate the level of urbanization development,the per capita GDP to represent the level of economic development,and the industrial structure to specifically analyze the effects of urbanization on economic development and vice versa.The factor detection module in the geo-detector model detected the amount of interaction between the two parameters.The analysis found that the impact of urbanization process on economic development in Xinjiang has increased with time.Since 2009,the impact of urbanization on economic development has been greater than the impact of economic development on urbanization,indicating that Xinjiang is accelerating urbanization and the construction industry promotes regional economic development.
作者
张亚如
张军民
ZHANG Ya-ru;ZHANG Jun-min(College of Science,Shihezi University,Shihezi 832003,Xinjiang,China;Guangxi Normal University,Guilin 541006,Guangxi,China)
出处
《干旱区地理》
CSCD
北大核心
2020年第3期839-848,共10页
Arid Land Geography
基金
国家自然科学基金(41761030)资助。
关键词
城镇化
经济发展
相互作用
地理探测器模型
urbanization
economic development
interaction
geographic detector model