IDEAS home Printed from https://ideas.repec.org/a/hin/complx/3941920.html
   My bibliography  Save this article

Stability and Complexity of a Novel Three-Dimensional Environmental Quality Dynamic Evolution System

Author

Listed:
  • LiuWei Zhao
  • Charles Oduro Acheampong Otoo

Abstract

In this paper, a novel three-dimensional environmental quality dynamic system is introduced. Bayesian estimation was used to calibrate environmental quality variables, and Genetic algorithm (GA) optimized Levenberg-Marquardt Back Propagation (LM-BP) neural network method was used to effectively identify the system parameters for calibration of various variables and official data. The studies found that the effect of increasing investment in environmental protection on energy intensity and environmental quality is not obvious, and it also aggravates the economic instability. Adjustment of peak parameters of pollution emissions can accelerate the evolution of energy intensity and environmental quality to a stable speed and eventually stabilize with a certain value. But if the peak value of pollution emissions reaches too early, it will pose a certain threat to the environment. Although the speed of ecological environment self-repair is increased, it cannot effectively reduce energy intensity, improve environmental quality, and maintain economic growth; it can control the stability of the control system or effectively control pollution. Therefore, in order to improve the environmental quality, we need to take more measures in parallel, use more means and resources for environmental governance, and ultimately achieve “win-win” between environmental quality and economy.

Suggested Citation

  • LiuWei Zhao & Charles Oduro Acheampong Otoo, 2019. "Stability and Complexity of a Novel Three-Dimensional Environmental Quality Dynamic Evolution System," Complexity, Hindawi, vol. 2019, pages 1-11, April.
    • Handle: RePEc:hin:complx:3941920
    DOI: 10.1155/2019/3941920
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2019/3941920.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2019/3941920.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/3941920?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Buenstorf, Guido, 2000. "Self-organization and sustainability: energetics of evolution and implications for ecological economics," Ecological Economics, Elsevier, vol. 33(1), pages 119-134, April.
    2. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei, 2013. "The impacts of carbon tax on energy intensity and economic growth – A dynamic evolution analysis on the case of China," Applied Energy, Elsevier, vol. 110(C), pages 17-28.
    3. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Lu, Longxi & He, Yu, 2017. "The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China," Applied Energy, Elsevier, vol. 196(C), pages 180-189.
    4. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei, 2014. "Government control or low carbon lifestyle? – Analysis and application of a novel selective-constrained energy-saving and emission-reduction dynamic evolution system," Energy Policy, Elsevier, vol. 68(C), pages 498-507.
    5. Yuan, Chaoqing & Liu, Sifeng & Wu, Junlong, 2009. "Research on energy-saving effect of technological progress based on Cobb-Douglas production function," Energy Policy, Elsevier, vol. 37(8), pages 2842-2846, August.
    6. Fang, Guochang & Tian, Lixin & Sun, Mei & Fu, Min, 2012. "Analysis and application of a novel three-dimensional energy-saving and emission-reduction dynamic evolution system," Energy, Elsevier, vol. 40(1), pages 291-299.
    7. LiuWei Zhao, 2017. "Nonlinear Complex Dynamics of Carbon Emission Reduction Cournot Game with Bounded Rationality," Complexity, Hindawi, vol. 2017, pages 1-10, October.
    8. Fullerton, Don & Kim, Seung-Rae, 2008. "Environmental investment and policy with distortionary taxes, and endogenous growth," Journal of Environmental Economics and Management, Elsevier, vol. 56(2), pages 141-154, September.
    9. Jhy-hwa Chen & Ching-chong Lai & Jhy-yuan Shieh, 2003. "Anticipated Environmental Policy and Transitional Dynamics in an Endogenous Growth Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(2), pages 233-254, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Lu, Longxi & He, Yu, 2017. "The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China," Applied Energy, Elsevier, vol. 196(C), pages 180-189.
    2. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Liu, Menghe, 2017. "Investigating carbon tax pilot in YRD urban agglomerations—Analysis of a novel ESER system with carbon tax constraints and its application," Applied Energy, Elsevier, vol. 194(C), pages 635-647.
    3. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & He, Yu & Lu, Longxi, 2018. "How to promote the development of energy-saving and emission-reduction with changing economic growth rate—A case study of China," Energy, Elsevier, vol. 143(C), pages 732-745.
    4. Fang, Guochang & Tian, Lixin & Liu, Menghe & Fu, Min & Sun, Mei, 2018. "How to optimize the development of carbon trading in China—Enlightenment from evolution rules of the EU carbon price," Applied Energy, Elsevier, vol. 211(C), pages 1039-1049.
    5. Matilda Baret & Maxime Menuet, 2024. "Fiscal and Environmental Sustainability: Is Public Debt Environmentally Friendly?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(6), pages 1497-1520, June.
    6. Sabarathinam Srinivasan & Suresh Kumarasamy & Zacharias E. Andreadakis & Pedro G. Lind, 2023. "Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey," Energies, MDPI, vol. 16(14), pages 1-56, July.
    7. Boly, Mohamed & Combes, Jean-Louis & Menuet, Maxime & Minea, Alexandru & Motel, Pascale Combes & Villieu, Patrick, 2022. "Can public debt mitigate environmental debt? Theory and empirical evidence," Energy Economics, Elsevier, vol. 111(C).
    8. Chu, Hsun & Lai, Ching-chong & Liao, Chih-hsing, 2016. "A Note On Environment-Dependent Time Preferences," Macroeconomic Dynamics, Cambridge University Press, vol. 20(6), pages 1652-1667, September.
    9. Chu, Hsun & Lai, Ching-chong, 2014. "Abatement R&D, market imperfections, and environmental policy in an endogenous growth model," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 20-37.
    10. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei, 2014. "Government control or low carbon lifestyle? – Analysis and application of a novel selective-constrained energy-saving and emission-reduction dynamic evolution system," Energy Policy, Elsevier, vol. 68(C), pages 498-507.
    11. Xinghua Fan & Ying Zhang & Jiuli Yin, 2018. "Evolutionary Analysis of a Three-Dimensional Carbon Price Dynamic System," Sustainability, MDPI, vol. 11(1), pages 1-15, December.
    12. Wesseh, Presley K. & Lin, Boqiang, 2018. "Optimal carbon taxes for China and implications for power generation, welfare, and the environment," Energy Policy, Elsevier, vol. 118(C), pages 1-8.
    13. Michael Peneder & Spyros Arvanitis & Christian Rammer & Tobias Stucki & Martin Wörter, 2022. "Policy instruments and self-reported impacts of the adoption of energy saving technologies in the DACH region," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(2), pages 369-404, May.
    14. Mengjie Tian & Mingyong Hong & Ji Wang, 2023. "Land resources, market-oriented reform and high-quality agricultural development," Economic Change and Restructuring, Springer, vol. 56(6), pages 4165-4197, December.
    15. Huang, Junbing & Wang, Yajun & Lei, Hongyan & Chen, Xiang, 2024. "A technology-driven way to carbon peak and its impact mechanism," Energy, Elsevier, vol. 297(C).
    16. Alotaish Mohammed Saud M. & Ping Guo & Ihtisham ul Haq & Guoqin Pan & Alam Khan, 2019. "Do government expenditure and financial development impede environmental degradation in Venezuela?," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-13, January.
    17. Lin, Boqiang & Du, Zhili, 2017. "Promoting energy conservation in China's metallurgy industry," Energy Policy, Elsevier, vol. 104(C), pages 285-294.
    18. Tang, Maogang & Li, Xiuzhen & Zhang, Yun & Wu, Yingtao & Wu, Baijun, 2020. "From command-and-control to market-based environmental policies: Optimal transition timing and China’s heterogeneous environmental effectiveness," Economic Modelling, Elsevier, vol. 90(C), pages 1-10.
    19. Xue, Jian & Guo, Na & Zhao, Laijun & Zhu, Di & Ji, Xiaoqin, 2020. "A cooperative inter-provincial model for energy conservation based on futures trading," Energy, Elsevier, vol. 212(C).
    20. Mare Sarr & Tim Swanson, 2017. "Will Technological Change Save the World? The Rebound Effect in International Transfers of Technology," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(3), pages 577-604, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:3941920. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.