Volume 5, Issue 3, September 2020, Page: 75-81
Research on the Impact of Environmental Regulation on Technological Innovation of Paper Industry Based on Gray Analysis Method
Donghong Shan, School of Computer, Pingdingshan University, Pingdingshan City, China
Chunxia Shan, School of Business, Xi’an International Studies University, Xi’an, China; School of Economics and Finance, Xi’an Jiaotong University, Xi’an, China
Received: Aug. 16, 2020;       Accepted: Aug. 28, 2020;       Published: Sep. 17, 2020
DOI: 10.11648/j.aas.20200503.14      View  54      Downloads  34
Abstract
In recent years, the continuous development of economy has also promoted the vigorous development of China's paper industry, but the disadvantages of paper industry such as large water consumption and serious pollution are more prominent. Therefore, the government has formulated a series of environmental regulation policies to restrict the heavy pollution in the production process of paper industry. Research on the impact of environmental regulation on the technological innovation of the paper industry in the new era is conducive to improve the quality policy of environmental supervision of China's paper industry, which has good theoretical value and practical significance. The data in this paper are from a series of indicators of the paper industry from 2009 to 2018. Among them, the indicators to measure the level of technological innovation and the indicators to calculate the intensity of environmental regulation are selected. The relationship between the two is empirically analyzed by grey correlation method and regression analysis. The empirical results show that environmental regulation has a positive impact on technological innovation of China's paper industry.
Keywords
Environmental Regulation, Paper Industry, Technological Innovation, Grey Correlation Method
To cite this article
Donghong Shan, Chunxia Shan, Research on the Impact of Environmental Regulation on Technological Innovation of Paper Industry Based on Gray Analysis Method, Advances in Applied Sciences. Vol. 5, No. 3, 2020, pp. 75-81. doi: 10.11648/j.aas.20200503.14
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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