The development experience of major developed countries in the world shows that there is an inverted U-shaped relationship between economic growth and environmental pollution, namely the environmental Kuznets curve. China has entered the stage of middle-income development, and in order to achieve sustainable development, China attaches great importance to environmental issues. As China effectively combines industrial structure transformation with ecological environment protection, changes in industrial structure will play an important role in improving the environment. In order to explore the relationship between the industrial structure and China's environmental level, this paper constructs environmental level indicators to measure the degree of comprehensive environmental pollution, and uses industrial structure rationalization and upgrading to express the level of industrial structure optimization. Based on the provincial Panel data of 30 provinces in China from 2011 to 2017, this paper studies the relationship between industrial structure changes and environmental level by constructing a regression model. The results indicate that the optimization of industrial structure plays a positive role in promoting environmental levels. Therefore, each province should adjust measures to local conditions and optimize industrial structure to reduce adverse factors of environmental pollution, in order to achieve the goal of effectively integrating innovation and green.
Published in | International Journal of Economy, Energy and Environment (Volume 8, Issue 4) |
DOI | 10.11648/j.ijeee.20230804.12 |
Page(s) | 82-90 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Environmental Level, Industrial Structure Rationalization, Industrial Structure Upgrading
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APA Style
Jun Yan, Danyi Liu, Sichang Yao, Jieli Li. (2023). An Empirical Study on the Impact of Industrial Structure Change on Environmental Level in China. International Journal of Economy, Energy and Environment, 8(4), 82-90. https://doi.org/10.11648/j.ijeee.20230804.12
ACS Style
Jun Yan; Danyi Liu; Sichang Yao; Jieli Li. An Empirical Study on the Impact of Industrial Structure Change on Environmental Level in China. Int. J. Econ. Energy Environ. 2023, 8(4), 82-90. doi: 10.11648/j.ijeee.20230804.12
AMA Style
Jun Yan, Danyi Liu, Sichang Yao, Jieli Li. An Empirical Study on the Impact of Industrial Structure Change on Environmental Level in China. Int J Econ Energy Environ. 2023;8(4):82-90. doi: 10.11648/j.ijeee.20230804.12
@article{10.11648/j.ijeee.20230804.12, author = {Jun Yan and Danyi Liu and Sichang Yao and Jieli Li}, title = {An Empirical Study on the Impact of Industrial Structure Change on Environmental Level in China}, journal = {International Journal of Economy, Energy and Environment}, volume = {8}, number = {4}, pages = {82-90}, doi = {10.11648/j.ijeee.20230804.12}, url = {https://doi.org/10.11648/j.ijeee.20230804.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijeee.20230804.12}, abstract = {The development experience of major developed countries in the world shows that there is an inverted U-shaped relationship between economic growth and environmental pollution, namely the environmental Kuznets curve. China has entered the stage of middle-income development, and in order to achieve sustainable development, China attaches great importance to environmental issues. As China effectively combines industrial structure transformation with ecological environment protection, changes in industrial structure will play an important role in improving the environment. In order to explore the relationship between the industrial structure and China's environmental level, this paper constructs environmental level indicators to measure the degree of comprehensive environmental pollution, and uses industrial structure rationalization and upgrading to express the level of industrial structure optimization. Based on the provincial Panel data of 30 provinces in China from 2011 to 2017, this paper studies the relationship between industrial structure changes and environmental level by constructing a regression model. The results indicate that the optimization of industrial structure plays a positive role in promoting environmental levels. Therefore, each province should adjust measures to local conditions and optimize industrial structure to reduce adverse factors of environmental pollution, in order to achieve the goal of effectively integrating innovation and green.}, year = {2023} }
TY - JOUR T1 - An Empirical Study on the Impact of Industrial Structure Change on Environmental Level in China AU - Jun Yan AU - Danyi Liu AU - Sichang Yao AU - Jieli Li Y1 - 2023/07/13 PY - 2023 N1 - https://doi.org/10.11648/j.ijeee.20230804.12 DO - 10.11648/j.ijeee.20230804.12 T2 - International Journal of Economy, Energy and Environment JF - International Journal of Economy, Energy and Environment JO - International Journal of Economy, Energy and Environment SP - 82 EP - 90 PB - Science Publishing Group SN - 2575-5021 UR - https://doi.org/10.11648/j.ijeee.20230804.12 AB - The development experience of major developed countries in the world shows that there is an inverted U-shaped relationship between economic growth and environmental pollution, namely the environmental Kuznets curve. China has entered the stage of middle-income development, and in order to achieve sustainable development, China attaches great importance to environmental issues. As China effectively combines industrial structure transformation with ecological environment protection, changes in industrial structure will play an important role in improving the environment. In order to explore the relationship between the industrial structure and China's environmental level, this paper constructs environmental level indicators to measure the degree of comprehensive environmental pollution, and uses industrial structure rationalization and upgrading to express the level of industrial structure optimization. Based on the provincial Panel data of 30 provinces in China from 2011 to 2017, this paper studies the relationship between industrial structure changes and environmental level by constructing a regression model. The results indicate that the optimization of industrial structure plays a positive role in promoting environmental levels. Therefore, each province should adjust measures to local conditions and optimize industrial structure to reduce adverse factors of environmental pollution, in order to achieve the goal of effectively integrating innovation and green. VL - 8 IS - 4 ER -