Analysis of new urbanization level measurement in Heilongjiang Province
School of Economics and Management, Heilongjiang Bayi Agricultural University, Daqing city, Heilongjiang Province, China.
Research Article
World Journal of Advanced Research and Reviews, 2023, 20(02), 1323–1329
Article DOI: 10.30574/wjarr.2023.20.2.2377
Publication history:
Received on 14 October 2023; revised on 23 November 2023; accepted on 25 November 2023
Abstract:
In recent years, Heilongjiang Province has made significant contributions to the country based on its resource advantages, but the contradictions and problems in sustainable development have become increasingly prominent. In order to better study the economic upgrading and transformation of resource-based cities in Heilongjiang Province, this article focuses on the new urbanization and industrial structure optimization level of resource-based cities in Heilongjiang Province, Construct and analyze the measurement index system for the level of new urbanization and industrial structure optimization, respectively. Under the concept of regional coordinated development, an evaluation index system for new urbanization and industrial structure was constructed. The coefficient of variation method was used to calculate the weights of various indicators for the new urbanization system and industrial structure optimization system. The grey correlation theory was used to analyze the correlation between the selected indicators for characterizing the level of new urbanization and industrial structure optimization, aiming to make the correlation between the internal indicators of the system more reasonable, By promoting the coordinated development of new urbanization and industrial structure optimization, resource-based cities can achieve economic upgrading and transformation, thereby achieving sustainable economic development. The research results indicate that policy recommendations for coordinated development between the two are proposed.
Keywords:
New Urbanization; Development Level; Heilongjiang Province; Coefficient of Variation; Extremum method
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0