| Peer-Reviewed

An Empirical Study on the Impact of Industrial Structure Change on Environmental Level in China

Received: 19 June 2023    Accepted: 10 July 2023    Published: 13 July 2023
Views:       Downloads:
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.

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), 2024. Published by Science Publishing Group

Keywords

Environmental Level, Industrial Structure Rationalization, Industrial Structure Upgrading

References
[1] Adom PK, Bekoe W, Amuakwa-Mensah F, Mensah JT, Botchway E (2012). Carbon dioxide emissions, economic growth, industrial structure, and technical efficiency: Empirical evidence from Ghana, Senegal, and Morocco on the causal dynamics. Energy 47 (1): 314-325.
[2] Zhao T, Ren X (2012). The Empirical Research of the Causality Relationship between CO2 Emissions Intensity, Energy Consumption Structure, Energy Intensity and Industrial Structure in China. Chinese Industrial Engineering Institution, CMES Institute of Electrical and Electronic Engineers Beijing Section. Proceedings of 2012 IEEE 19th International Conference on Industrial Engineering and Engineering Management (IE& EM 2012) 4: 994-997.
[3] Zhang Y, Liu Z, Zhang H, Tan T (2014). The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China. Natural Hazards 73 (2).
[4] Zhao Q, Yan Q (2015). Carbon Emissions Decomposition Analysis of Yangtze River Delta Area in China: 2001-2012. Proceedings of 2015 Joint International Social Science, Education, Language, Management and Business Conference (JISEM 2015) 11: 89-99.
[5] Xiao B, Niu D, Wu H (2017). Exploring the impact of determining factors behind CO2 emissions in China: A CGE appraisal. The Science of the total environment 581-582: 559-572.
[6] Chuai Xi, Feng J (2019). High resolution carbon emissions simulation and spatial heterogeneity analysis based on big data in Nanjing City, China. The Science of the total environment 686: 828-837.
[7] Ma J, Du G, Xie B (2019). CO2 emission changes of China's power generation system: Input-output subsystem analysis. Energy Policy 124: 1-12.
[8] Zhou Y, Liu W, Lv X, Chen X, Shen M (2019). Investigating interior driving factors and cross-industrial linkages of carbon emission efficiency in China's construction industry: Based on Super-SBM DEA and GVAR model. Journal of Cleaner Production 241: 118322.1-118322.13.
[9] Zeeshan K, Muhammad S, Manzoor A, Fazli R, Yang S (2019). Total retail goods consumption, industry structure, urban population growth and pollution intensity: an application of panel data analysis for China. Environmental science and pollution research international (31): 32224-32242.
[10] Li L, Hong X, Peng K (2019). A spatial panel analysis of carbon emissions, economic growth and high-technology industry in China. Structural Change and Economic Dynamics 49: 83-92.
[11] Benjamin NI, Lin B (2020). Quantile analysis of carbon emissions in China metallurgy industry. Journal of Cleaner Production 243: 118534.
[12] Zhu B, Shan H (2019). Impacts of industrial structures reconstructing on carbon emission and energy consumption: A case of Beijing. Journal of Cleaner Production 245: 118916.
[13] Li P (2015). Is there an inverted U-shaped curve relationship between industrial structure adjustment and environmental pollution? Inquiry into Economic Issues (12): 56-67.
[14] Han N, Yu W (2016). Quantitative Analysis of the Impact of China's Industrial Structure on Environmental Pollution. Statistics & Decision 20: 133-136.
[15] Han Y, Huang L, Wang X (2016). Does Industrial Structure Upgrading Improve Eco-Efficiency? The Journal of Quantitative & Technical Economics 33 (4): 40-59.
[16] Tao G, Fang J (2016). The Effect of Regional Industrial Structure Chance on Economic Growth - An Empirical Study Based on Fifteen Provinces. Economic Theory and Business Management (11): 88-100.
[17] Tao Y, Peng Y (2017). Spatial effects of technological innovation intensity on the upgrading of industrial structure under economic agglomeration. Industrial Economics Research (3): 91-103.
[18] Wei P, Yu Y (2018). The influence of urban industrial structure changes on economic efficiency: an analysis based on 285 cities of China. Urban Problems (11): 4-11.
[19] Li Z, Sun L, Geng Y, Dong H, Ren J, Liu Z, Tian X, Yabar H, Higano Y (2017). Examining industrial structure changes and corresponding carbon emission reduction effect by combining input-output analysis and social network analysis: A comparison study of China and Japan. Journal of Cleaner Production 162: 61-70.
[20] Zhang L, Cui H (2018). Impact of Urban Industrial Structure Optimization on Carbon Emissions of Urban Agglomeration in the Middle Reaches of the Yangtze River. Reform (11): 130-138.
[21] Wu J, Hu J (2018). Environmental Regulation, Industrial Structure Adjustment, and Green Economic Growth: An Empirical Test Based on China's Provincial Panel Data. Inquiry into Economic Issues (3): 7-17.
[22] Qin J, Yu Z, Sun R, Lu L (2018). Effects of the Industrial Structure Transformation on Ecological Environment in Nanjing Chinese Journal of Environmental Management 10 (6): 99-106.
[23] Lv M, Chen W (2016). The study on the impact of industrial structure upgrading on energy efficiency in China based on the data from 1978 to 2013. Resources Science 38 (7): 1350-1362.
[24] Luo Z, Li X (2019). Industrial Structure Upgrade, Technological Progress and China's Energy Efficiency - An Empirical Analysis Based on Non- Dynamic Panel Threshold Model. Inquiry into Economic Issues (1): 159-166.
[25] Ding L, Xia H, Shi Y, Cheng S (2020). Evolution of Industrial Structure and Its Environmental Effect in the Yangtze River Economic Belt from 2000 to 2015. Safety and Environmental Engineering 27 (2): 8-16.
[26] Gong M, Liu H (2020). The Influence of Two-way FDI Coordinated Development and Industrial Structure Evolution on Environmental Pollution in China. Journal of International Trade (2): 110-124.
[27] Zhang J, Cheng Q (2020). The Research on the Impact of Industrial Structure Upgrading on Energy Efficiency in the Yangtze River Economic Belt - Based on the Data from 2001 to 2017. Journal of Industrial Technological Economics 39 (1): 129-135.
[28] Hu F (2011). Research on the Relationship between Industrial Structure Upgrading, Foreign Trade and Environmental Pollution: Taking Eastern and Central China as Examples. Inquiry into Economic Issues (7): 113-118.
[29] Wang Y, Wang G (2017). Re-test of the Environmental Kuznets Curve Between Comprehensive Environmental Pollution Degree and the Per Capita Disposable Income. Forum on Science and Technology in China (6): 145-152.
[30] Wang W, Liu Y, Peng D (2015). Research on the Effect of Population Aging on Industrial Upgrading. China Industrial Economics (11): 47-61.
[31] Xie T, Li Y, Pan Y (2018). Foreign Direct Investment, Technological Progress and Industrial Structure Upgrading - Based on China's Provincial Spatial Econometrics Analysis. Journal of Industrial Technological Economics 37 (8): 35-43.
[32] Gan C, Zheng R, Yu D (2011). An Empirical Study on the Effects of Industrial Structure on Economic Growth and Fluctuations in China. Economic Research Journal 46 (5): 4-16+31.
[33] Fu Y, Ye X, Wang Z (2014). The Selection of Technological Progress Path of Manufacturing Structure Optimization - An Empirical Analysis Based on Dynamic Panel Data Model. China Industrial Economics (9): 78-90.
[34] Li D, Deng M (2016). Chinese Inter-Provincial OFDI, Spatial Spillover Effects, and Structural Upgrading of Domestic Industry: An Analysis Based on the Spatial Panel Durbin Model. Journal of International Trade (1): 121-133.
[35] Wang Y, Sun C (2019). Influence of Industrial Co-agglomeration on Industrial Structure Optimization - Based on the Empirical Analysis of High-tech Industry and Producer Services Inquiry into Economic Issues (10): 146-154.
[36] Fu L (2010). An Empirical Research on Industry Structure and Economic Growth. Statistical Research 27 (8): 79-81.
[37] Chen H (2017). Advanced Industrial Structure, New Urbanization and Economic Growth in the Context of the "New Normal" - Spatial Econometric Analysis Based on Provincial Panel Data. Journal of Commercial Economics (21): 137-141.
[38] Cha H, Zheng T (2018). On Resource Dependence, Industrial Structure and Economic Development Efficiency. Research on Development (6): 14-22+2.
[39] Peng H (2020). Research on the Impact of Industrial Structure on Ecological Environment in Beijing City. West Leather 42 (2): 73-74.
[40] Wang S (2020). Analysis of the Correlation between Socio-economic Development Level and Environmental Quality in Dalian City. Agriculture and Technology 40 (5): 131-132+147.
[41] Lu H, Cao H, Wang Z (2019). On Environmental Effects of Fiscal Expenditure from the Perspective of Industrial Structure Upgrading. Journal of Hunan University of Science & Technology (Social Science Edition) 22 (1): 57-66.
Cite This Article
  • 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

    Copy | Download

    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

    Copy | Download

    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

    Copy | Download

  • @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}
    }
    

    Copy | Download

  • 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  - 

    Copy | Download

Author Information
  • School of Finance and Economics, Jiangsu University, Zhenjiang, China

  • School of Finance and Economics, Jiangsu University, Zhenjiang, China

  • School of Finance and Economics, Jiangsu University, Zhenjiang, China

  • School of Finance and Economics, Jiangsu University, Zhenjiang, China

  • Sections