IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i3p530-d136538.html
   My bibliography  Save this article

Prediction and Analysis of CO 2 Emission in Chongqing for the Protection of Environment and Public Health

Author

Listed:
  • Shuai Yang

    (National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China)

  • Yu Wang

    (National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China)

  • Wengang Ao

    (National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China)

  • Yun Bai

    (National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China)

  • Chuan Li

    (National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China)

Abstract

Based on the consumption of fossil energy, the CO 2 emissions of Chongqing are calculated and analyzed from 1997 to 2015 in this paper. Based on the calculation results, the consumption of fossil fuels and the corresponding CO 2 emissions of Chongqing in 2020 are predicted, and the supporting data and corresponding policies are provided for the government of Chongqing to reach its goal as the economic unit of low-carbon emission in the ‘13th Five-Year Plan’. The results of the analysis show that there is a rapid decreasing trend of CO 2 emissions in Chongqing during the ‘12th Five-Year Plan’, which are caused by the adjustment policy of the energy structure in Chongqing. Therefore, the analysis and prediction are primarily based on the adjustment of Chongqing’s coal energy consumption in this paper. At the initial stage, support vector regression (SVR) method is applied to predict the other fossil energy consumption and the corresponding CO 2 emissions of Chongqing in 2020. Then, with the energy intensity of 2015 and the official target of CO 2 intensity in 2020, the total fossil energy consumption and CO 2 emissions of Chongqing in 2020 are predicted respectively. By the above results of calculation, the coal consumption and its corresponding CO 2 emissions of Chongqing in 2020 are determined. To achieve the goal of CO 2 emissions of Chongqing in 2020, the coal consumption level and energy intensity of Chongqing are calculated, and the adjustment strategies for energy consumption structure in Chongqing are proposed.

Suggested Citation

  • Shuai Yang & Yu Wang & Wengang Ao & Yun Bai & Chuan Li, 2018. "Prediction and Analysis of CO 2 Emission in Chongqing for the Protection of Environment and Public Health," IJERPH, MDPI, vol. 15(3), pages 1-15, March.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:530-:d:136538
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/3/530/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/3/530/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wenxiu Wang & Yaoqiu Kuang & Ningsheng Huang, 2011. "Study on the Decomposition of Factors Affecting Energy-Related Carbon Emissions in Guangdong Province, China," Energies, MDPI, vol. 4(12), pages 1-24, December.
    2. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach," Energy, Elsevier, vol. 73(C), pages 741-750.
    3. Aviral Kumar TIWARI, 2011. "Energy Consumption, Co2 Emission and Economic Growth: A Revisit of the Evidence from India," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 11(2).
    4. Jalil, Abdul & Mahmud, Syed F., 2009. "Environment Kuznets curve for CO2 emissions: A cointegration analysis for China," Energy Policy, Elsevier, vol. 37(12), pages 5167-5172, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ning Zhang & Zaiwu Gong & Kedong Yin & Yuhong Wang, 2018. "Special Issue “Decision Models in Green Growth and Sustainable Development”," IJERPH, MDPI, vol. 15(6), pages 1-8, May.
    2. Beibei Che & Chaofeng Shao & Zhirui Lu & Binghong Qian & Sihan Chen, 2022. "Mineral Requirements for China’s Energy Transition to 2060—Focus on Electricity and Transportation," Sustainability, MDPI, vol. 15(1), pages 1-23, December.
    3. Jia Wei & Hong Chen & Ruyin Long, 2018. "Determining Multi-Layer Factors That Drive the Carbon Capability of Urban Residents in Response to Climate Change: An Exploratory Qualitative Study in China," IJERPH, MDPI, vol. 15(8), pages 1-19, July.
    4. Thananya Janhuaton & Vatanavongs Ratanavaraha & Sajjakaj Jomnonkwao, 2024. "Forecasting Thailand’s Transportation CO 2 Emissions: A Comparison among Artificial Intelligent Models," Forecasting, MDPI, vol. 6(2), pages 1-23, June.
    5. Yelin Wang & Ping Yang & Zan Song & Julien Chevallier & Qingtai Xiao, 2024. "Intelligent Prediction of Annual CO2 Emissions Under Data Decomposition Mode," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 711-740, February.

    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. P. Srinivasan & Inder Siddanth Ravindra, 2015. "Causality among Energy Consumption, CO2 Emission, Economic Growth and Trade," Foreign Trade Review, , vol. 50(3), pages 168-189, August.
    2. Al Mamun, Md. & Sohag, Kazi & Hannan Mia, Md. Abdul & Salah Uddin, Gazi & Ozturk, Ilhan, 2014. "Regional differences in the dynamic linkage between CO2 emissions, sectoral output and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1-11.
    3. Feng Dong & Jingyun Li & Yue-Jun Zhang & Ying Wang, 2018. "Drivers Analysis of CO 2 Emissions from the Perspective of Carbon Density: The Case of Shandong Province, China," IJERPH, MDPI, vol. 15(8), pages 1-24, August.
    4. Shahbaz, Muhammad & Salah Uddin, Gazi & Ur Rehman, Ijaz & Imran, Kashif, 2014. "Industrialization, electricity consumption and CO2 emissions in Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 575-586.
    5. Tiwari, Aviral Kumar & Shahbaz, Muhammad & Adnan Hye, Qazi Muhammad, 2013. "The environmental Kuznets curve and the role of coal consumption in India: Cointegration and causality analysis in an open economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 519-527.
    6. Shahbaz, Muhammad & Sbia, Rashid & Hamdi, Helmi, 2013. "The Environmental cost of Skiing in the Desert? Evidence from Cointegration with unknown Structural breaks in UAE," MPRA Paper 48007, University Library of Munich, Germany, revised 03 Jul 2013.
    7. Habib Hussain Khan & Nahla Samargandi & Adeel Ahmed, 2021. "Economic development, energy consumption, and climate change: An empirical account from Malaysia," Natural Resources Forum, Blackwell Publishing, vol. 45(4), pages 397-423, November.
    8. Ahad, Muhammad & Khan, Wali, 2016. "Does Globalization Impede Environmental Quality in Bangladesh? The Role of Real Economic Activities and Energy Use," MPRA Paper 76278, University Library of Munich, Germany, revised Jul 2016.
    9. Mahalik, Mantu Kumar & Villanthenkodath, Muhammed Ashiq & Mallick, Hrushikesh & Gupta, Monika, 2021. "Assessing the effectiveness of total foreign aid and foreign energy aid inflows on environmental quality in India," Energy Policy, Elsevier, vol. 149(C).
    10. Mohd Shahidan Shaari & Nor Ermawati Hussain & Hussin Abdullah & Syahida Kamil, 2014. "Relationship among Foreign Direct Investment, Economic Growth and CO2 Emission: A Panel Data Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 706-715.
    11. Hezareh, Reza & Shayanmehr, Samira & Darbandi, Elham & Schieffer, Jack, 2017. "Energy Consumption and Environmental Pollution: Evidence from the Spatial Panel Simultaneous-Equations Model of Developing Countries," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252818, Southern Agricultural Economics Association.
    12. Begum, Rawshan Ara & Sohag, Kazi & Abdullah, Sharifah Mastura Syed & Jaafar, Mokhtar, 2015. "CO2 emissions, energy consumption, economic and population growth in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 594-601.
    13. Sehar Munir & Azra Khan, 2014. "Impact of Fossil Fuel Energy Consumption on CO2 Emissions: Evidence from Pakistan (1980-2010)," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 53(4), pages 327-346.
    14. Laia Pié & Laura Fabregat-Aibar & Marc Saez, 2018. "The Influence of Imports and Exports on the Evolution of Greenhouse Gas Emissions: The Case for the European Union," Energies, MDPI, vol. 11(7), pages 1-14, June.
    15. Nasreen, Samia & Anwar, Sofia & Ozturk, Ilhan, 2017. "Financial stability, energy consumption and environmental quality: Evidence from South Asian economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1105-1122.
    16. Khan, Syed Abdul Rehman & Zaman, Khalid & Zhang, Yu, 2016. "The relationship between energy-resource depletion, climate change, health resources and the environmental Kuznets curve: Evidence from the panel of selected developed countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 468-477.
    17. Fujii, Hidemichi & Managi, Shunsuke, 2013. "Which industry is greener? An empirical study of nine industries in OECD countries," Energy Policy, Elsevier, vol. 57(C), pages 381-388.
    18. Zanin, Luca & Marra, Giampiero, 2012. "Assessing the functional relationship between CO2 emissions and economic development using an additive mixed model approach," Economic Modelling, Elsevier, vol. 29(4), pages 1328-1337.
    19. Kaika, Dimitra & Zervas, Efthimios, 2013. "The environmental Kuznets curve (EKC) theory. Part B: Critical issues," Energy Policy, Elsevier, vol. 62(C), pages 1403-1411.
    20. Wan-Lin Yong & Jerome Kueh & Yong Sze Wei & Jang-Haw Tiang, 2020. "Energy Consumption and Economic Growth Nexus in China: Autoregressive Distributed Lag (ARDL)," Journal of Public Administration and Governance, Macrothink Institute, vol. 10(2), pages 194212-1942, December.

    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:gam:jijerp:v:15:y:2018:i:3:p:530-:d:136538. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.