Sustainable development process and mechanism of urbanization in border cities in Northeast China:A case study of Dongning and Hunchun
This article takes Dongning in Heilongjiang Province and Hunchun in Jilin Province as research cases,constructs a comprehensive index system for sustainable urbanization development of border cities from three dimen-sions of urban economy,port economy and social condition,using the entropy method and the modified McKinsey Matrix to evaluate the level of urbanization development and the comprehensive performance and trends in sustain-able urbanization of border cities,and finally exploring the main obstacle factors that affect sustainable urbanization development through the obstacle degree model.The results show that:1)The overall level of urbanization develop-ment in Dongning and Hunchun shows an upward trend,which is mainly influenced by the development level of urb-an economy and port economy.2)The overall trend of sustainable urbanization in Dongning and Hunchun is syn-chronized with its urbanization development process,and has generally experienced 3 stages of sustainable develop-ment with low development level(1993-2005),non-sustainable development with continuous improvement of de-velopment level(2006-2016),and sustainable development with medium development level(2017-2020).3)The sustainable development of urbanization in Dongning and Hunchun has the same general trend,but shows some dif-ferent characteristics at some stages due to the port's economy development level.4)Urban economy is the main obstacle standard layer that affects the sustainable urbanization development of Dongning and Hunchun in the long term,totalinvestment in fixed assets,general public budget expenditure,general public budget revenue and export dependence are the main obstacle factors.The results of this article can provide some theoretical and empirical references for the study of sustainable urbanization in border cities.
border citiesport economynew urbanizationMcKinsey Matrixobstacle degree model
NETL
NSTL
万方数据
