IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v212y2018icp1553-1562.html
   My bibliography  Save this article

Driving forces of CO2 emissions and mitigation strategies of China’s National low carbon pilot industrial parks

Author

Listed:
  • Yu, Xiang
  • Chen, Hongbo
  • Wang, Bo
  • Wang, Ran
  • Shan, Yuli

Abstract

In an effort to address climate change, in 2013 China launched the world’s largest government-driven carbon emission reduction programme, the National Low Carbon Industrial Parks Pilot Programme (LCIPPP). This paper analyses this newly developed pilot program. To deepen our understanding of the causes and the impact of industrial park CO2 emissions, we use the STIRPAT (Stochastic Impacts by Regression on Population, Affluence and Technology) model and data from 20 pilot industrial parks involved in the LCIPPP for the period 2012–2016. This study quantitatively evaluates the effect of CO2 emissions on output, energy structure, energy intensity, industrial structure, R&D intensity, and population change in different regions and nationally through an elasticity coefficient method. The results confirm that an increase in output and energy intensity is a dominant contributor to the growth of CO2 emissions whereas an increase of the share of tertiary industry and R&D intensity has significant effects on reducing CO2 emissions. The elasticity of energy intensity and renewable energy consumption on CO2 emissions in the eastern region of China is the highest, indicating that using renewable energy to reduce CO2 emissions for the industrial parks is more effective in the eastern region as compared to the central and western regions of the country. The elasticity of population is significantly negative in both the central and western areas while it is positive in eastern part of China, thereby illustrating that promoting labour intensive industries will be an effective way to reduce CO2 emissions for the industrial parks in China’s central and western regions. Our study reveals that differentiated low carbon development pathways should be adopted. Concrete policy implications for reducing CO2 emissions are also provided.

Suggested Citation

  • Yu, Xiang & Chen, Hongbo & Wang, Bo & Wang, Ran & Shan, Yuli, 2018. "Driving forces of CO2 emissions and mitigation strategies of China’s National low carbon pilot industrial parks," Applied Energy, Elsevier, vol. 212(C), pages 1553-1562.
  • Handle: RePEc:eee:appene:v:212:y:2018:i:c:p:1553-1562
    DOI: 10.1016/j.apenergy.2017.12.114
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626191731838X
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tan, Xianchun & Dong, Lele & Chen, Dexue & Gu, Baihe & Zeng, Yuan, 2016. "China’s regional CO2 emissions reduction potential: A study of Chongqing city," Applied Energy, Elsevier, vol. 162(C), pages 1345-1354.
    2. Dong, Huijuan & Ohnishi, Satoshi & Fujita, Tsuyoshi & Geng, Yong & Fujii, Minoru & Dong, Liang, 2014. "Achieving carbon emission reduction through industrial & urban symbiosis: A case of Kawasaki," Energy, Elsevier, vol. 64(C), pages 277-286.
    3. Martínez-Zarzoso, Inmaculada & Maruotti, Antonello, 2011. "The impact of urbanization on CO2 emissions: Evidence from developing countries," Ecological Economics, Elsevier, vol. 70(7), pages 1344-1353, May.
    4. Huang, Beijia & Jiang, Ping & Wang, Shaoping & Zhao, Juan & Wu, Luchao, 2016. "Low carbon innovation and practice in Caohejing High-Tech Industrial Park of Shanghai," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 367-373.
    5. Shahbaz, Muhammad & Loganathan, Nanthakumar & Muzaffar, Ahmed Taneem & Ahmed, Khalid & Ali Jabran, Muhammad, 2016. "How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 83-93.
    6. Dong, Huijuan & Geng, Yong & Xi, Fengming & Fujita, Tsuyoshi, 2013. "Carbon footprint evaluation at industrial park level: A hybrid life cycle assessment approach," Energy Policy, Elsevier, vol. 57(C), pages 298-307.
    7. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.
    8. Wang, Ping & Wu, Wanshui & Zhu, Bangzhu & Wei, Yiming, 2013. "Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China," Applied Energy, Elsevier, vol. 106(C), pages 65-71.
    9. Zhang, Ning & Yu, Keren & Chen, Zhongfei, 2017. "How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis," Energy Policy, Elsevier, vol. 107(C), pages 678-687.
    10. Zhang, Hui & Dong, Liang & Li, Huiquan & Fujita, Tsuyoshi & Ohnishi, Satoshi & Tang, Qing, 2013. "Analysis of low-carbon industrial symbiosis technology for carbon mitigation in a Chinese iron/steel industrial park: A case study with carbon flow analysis," Energy Policy, Elsevier, vol. 61(C), pages 1400-1411.
    11. Inmaculada Martínez-Zarzoso, 2008. "The Impact of Urbanization on CO2 Emissions: Evidence from Developing Countries," CESifo Working Paper Series 2377, CESifo Group Munich.
    12. Zhang, Chuan & Romagnoli, Alessandro & Zhou, Li & Kraft, Markus, 2017. "Knowledge management of eco-industrial park for efficient energy utilization through ontology-based approach," Applied Energy, Elsevier, vol. 204(C), pages 1412-1421.
    13. Wang, Changjian & Wang, Fei & Zhang, Xinlin & Yang, Yu & Su, Yongxian & Ye, Yuyao & Zhang, Hongou, 2017. "Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 51-61.
    14. Wang, Hongsheng & Lei, Yue & Wang, Haikun & Liu, Miaomiao & Yang, Jie & Bi, Jun, 2013. "Carbon reduction potentials of China's industrial parks: A case study of Suzhou Industry Park," Energy, Elsevier, vol. 55(C), pages 668-675.
    15. Liu, Lingxuan & Zhang, Bing & Bi, Jun & Wei, Qi & He, Pan, 2012. "The greenhouse gas mitigation of industrial parks in China: A case study of Suzhou Industrial Park," Energy Policy, Elsevier, vol. 46(C), pages 301-307.
    16. Liu, Zhe & Adams, Michelle & Cote, Raymond P. & Geng, Yong & Chen, Qinghua & Liu, Weili & Sun, Lu & Yu, Xiaoman, 2017. "Comprehensive development of industrial symbiosis for the response of greenhouse gases emission mitigation: Challenges and opportunities in China," Energy Policy, Elsevier, vol. 102(C), pages 88-95.
    17. Richard York & Eugene A. Rosa & Thomas Dietz, 2002. "Bridging Environmental Science with Environmental Policy: Plasticity of Population, Affluence, and Technology," Social Science Quarterly, Southwestern Social Science Association, vol. 83(1), pages 18-34, March.
    18. Pan, Ming & Sikorski, Janusz & Akroyd, Jethro & Mosbach, Sebastian & Lau, Raymond & Kraft, Markus, 2016. "Design technologies for eco-industrial parks: From unit operations to processes, plants and industrial networks," Applied Energy, Elsevier, vol. 175(C), pages 305-323.
    19. Shahbaz, Muhammad & Chaudhary, A.R. & Ozturk, Ilhan, 2017. "Does urbanization cause increasing energy demand in Pakistan? Empirical evidence from STIRPAT model," Energy, Elsevier, vol. 122(C), pages 83-93.
    20. Hackl, Roman & Harvey, Simon, 2013. "Framework methodology for increased energy efficiency and renewable feedstock integration in industrial clusters," Applied Energy, Elsevier, vol. 112(C), pages 1500-1509.
    21. Wang, Yuan & Zhang, Chen & Lu, Aitong & Li, Li & He, Yanmin & ToJo, Junji & Zhu, Xiaodong, 2017. "A disaggregated analysis of the environmental Kuznets curve for industrial CO2 emissions in China," Applied Energy, Elsevier, vol. 190(C), pages 172-180.
    22. Shan, Yuli & Liu, Jianghua & Liu, Zhu & Xu, Xinwanghao & Shao, Shuai & Wang, Peng & Guan, Dabo, 2016. "New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors," Applied Energy, Elsevier, vol. 184(C), pages 742-750.
    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. Garfield Wayne Hunter & Gideon Sagoe & Daniele Vettorato & Ding Jiayu, 2019. "Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review," Sustainability, MDPI, Open Access Journal, vol. 11(16), pages 1-37, August.
    2. Hongwei Xiao & Zhongyu Ma & Peng Zhang & Ming Liu, 2019. "Study of the impact of energy consumption structure on carbon emission intensity in China from the perspective of spatial effects," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1365-1380, December.

    More about this item

    Keywords

    Low carbon industrial park; CO2emissions; STIRPAT model;

    JEL classification:

    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:eee:appene:v:212:y:2018:i:c:p:1553-1562. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.