Volume 9, Issue 1, June 2020, Page: 43-50
Measurement of Regional Industrial Ecological Efficiency in China and an Analysis of Its Influencing Factors
Wu Mingran, School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China
Received: Dec. 7, 2019;       Accepted: Dec. 16, 2019;       Published: Jan. 17, 2020
DOI: 10.11648/j.jwer.20200901.16      View  413      Downloads  106
Abstract
In recent years, with the rapid advancement of industrialization and urbanization, China's economy has experienced a period of rapid development. However, while China has become the world's second largest economy, it has also become a veritable resource consumer and environmental polluter. So China must need to transform its economic development model and vigorously promote ecological progress. We use interprovincial panel data from 2012 to 2016 to calculate and analyze the industrial ecological efficiency of 31 provinces in China, and then discuss the factors that influence efficiency. The results show that, during the research year, the industrial eco-efficiency of 31 provinces and municipalities in China has been rising steadily in time series but differs significantly in regional cross-sections. Moreover, the eco-efficiency of the eastern region was higher than the central and western regions. Among the influencing factors, the per capita GDP, the proportion of the secondary industry's output value to the regional GDP, and the population density all had a positive impact on industrial eco-efficiency, and the overall industrial eco-efficiency level of the eastern region is higher than the central and western regions. Therefore, the keys to improving regional industrial eco-efficiency are as follows: increasing the income of residents, accelerating the ecological transformation of traditional industries, optimizing the population lay out to alleviate the conflict between people and land, and narrowing the regional development gap.
Keywords
Industrial Eco-efficiency, Economic Development, Industrial Structure, Population Density, Regional Dummy Variable
To cite this article
Wu Mingran, Measurement of Regional Industrial Ecological Efficiency in China and an Analysis of Its Influencing Factors, Journal of World Economic Research. Vol. 9, No. 1, 2020, pp. 43-50. doi: 10.11648/j.jwer.20200901.16
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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