IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v228y2015i1p1-810.1007-s10479-014-1528-3.html
   My bibliography  Save this article

Advances in energy and environmental issues in China: theory, models, and applications

Author

Listed:
  • Jie Wu
  • Malin Song
  • Li Yang

Abstract

In this paper, we review the energy efficiency in China, and the following topics are discussed. (i) Some useful empirical analyses applied on the energy efficiency based on some expanded models, (ii) the relationship among environment, energy and economic growth, (iii) some important environmental efficiency evaluation indexes, and (iv) some latest researches on the emission system. Finally, some policy recommendations are made. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Jie Wu & Malin Song & Li Yang, 2015. "Advances in energy and environmental issues in China: theory, models, and applications," Annals of Operations Research, Springer, vol. 228(1), pages 1-8, May.
  • Handle: RePEc:spr:annopr:v:228:y:2015:i:1:p:1-8:10.1007/s10479-014-1528-3
    DOI: 10.1007/s10479-014-1528-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-014-1528-3
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10479-014-1528-3?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
    ---><---

    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. Carbone, Jared C. & Helm, Carsten & Rutherford, Thomas F., 2009. "The case for international emission trade in the absence of cooperative climate policy," Journal of Environmental Economics and Management, Elsevier, vol. 58(3), pages 266-280, November.
    2. Benjamin Cheng, 1997. "Energy consumption and economic growth in Brazil, Mexico and Venezuela: a time series analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 4(11), pages 671-674.
    3. Yuan, Jia-Hai & Kang, Jian-Gang & Zhao, Chang-Hong & Hu, Zhao-Guang, 2008. "Energy consumption and economic growth: Evidence from China at both aggregated and disaggregated levels," Energy Economics, Elsevier, vol. 30(6), pages 3077-3094, November.
    4. Shi, Guang-Ming & Bi, Jun & Wang, Jin-Nan, 2010. "Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs," Energy Policy, Elsevier, vol. 38(10), pages 6172-6179, October.
    5. Oueslati, Walid, 2002. "Environmental policy in an endogenous growth model with human capital and endogenous labor supply," Economic Modelling, Elsevier, vol. 19(3), pages 487-507, May.
    6. Fei, Li & Dong, Suocheng & Xue, Li & Liang, Quanxi & Yang, Wangzhou, 2011. "Energy consumption-economic growth relationship and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 39(2), pages 568-574, February.
    7. Zha, Donglan & Zhou, Dequn & Ding, Ning, 2009. "The contribution degree of sub-sectors to structure effect and intensity effects on industry energy intensity in China from 1993 to 2003," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 895-902, May.
    8. Zaim, Osman, 2004. "Measuring environmental performance of state manufacturing through changes in pollution intensities: a DEA framework," Ecological Economics, Elsevier, vol. 48(1), pages 37-47, January.
    9. Hamid Mohtadi, 1995. "Public Spending, Political Structure and Growth: Evidence for the Middle East and North Africa from an International Perspective," Working Papers 9506, Economic Research Forum, revised 03 Sep 1995.
    10. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    11. W. Liu & W. Meng & X. Li & D. Zhang, 2010. "DEA models with undesirable inputs and outputs," Annals of Operations Research, Springer, vol. 173(1), pages 177-194, January.
    12. Ellerman,A. Denny & Buchner,Barbara K. & Carraro,Carlo (ed.), 2007. "Allocation in the European Emissions Trading Scheme," Cambridge Books, Cambridge University Press, number 9780521875684, September.
    13. Oh, Wankeun & Lee, Kihoon, 2004. "Causal relationship between energy consumption and GDP revisited: the case of Korea 1970-1999," Energy Economics, Elsevier, vol. 26(1), pages 51-59, January.
    14. David Malueg & Andrew Yates, 2009. "Strategic Behavior, Private Information, and Decentralization in the European Union Emissions Trading System," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(3), pages 413-432, July.
    15. Woerdman, Edwin, 2000. "Organizing emissions trading: the barrier of domestic permit allocation," Energy Policy, Elsevier, vol. 28(9), pages 613-623, July.
    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. Zongwei Luo & Rameshwar Dubey & Thanos Papadopoulos & Benjamin Hazen & David Roubaud, 2018. "Explaining Environmental Sustainability in Supply Chains Using Graph Theory," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1257-1275, December.
    2. Jin Guo & Junhong Bai, 2019. "The Role of Public Participation in Environmental Governance: Empirical Evidence from China," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    3. Tsai-Chi Kuo & Ming-Lang Tseng & Hsiao-Min Chen & Ping-Shun Chen & Po-Chen Chang, 2018. "Design and Analysis of Supply Chain Networks with Low Carbon Emissions," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1353-1374, December.
    4. Julien Chevallier & Stéphane Goutte, 2017. "Estimation of Lévy-driven Ornstein–Uhlenbeck processes: application to modeling of $$\hbox {CO}_2$$ CO 2 and fuel-switching," Annals of Operations Research, Springer, vol. 255(1), pages 169-197, August.

    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. L. Yang & T. Yang, 2015. "Energy consumption and economic growth from perspective of spatial heterogeneity: statistical analysis based on variable coefficient model," Annals of Operations Research, Springer, vol. 228(1), pages 151-161, May.
    2. Omri, Anis, 2014. "An international literature survey on energy-economic growth nexus: Evidence from country-specific studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 951-959.
    3. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
    4. Bian, Yiwen & He, Ping & Xu, Hao, 2013. "Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach," Energy Policy, Elsevier, vol. 63(C), pages 962-971.
    5. Chang, Ming-Chung, 2016. "Applying the energy productivity index that considers maximized energy reduction on SADC (Southern Africa Development Community) members," Energy, Elsevier, vol. 95(C), pages 313-323.
    6. Zhang, Wei & Yang, Shuyun, 2013. "The influence of energy consumption of China on its real GDP from aggregated and disaggregated viewpoints," Energy Policy, Elsevier, vol. 57(C), pages 76-81.
    7. Sofien, Tiba & Omri, Anis, 2016. "Literature survey on the relationships between energy variables, environment and economic growth," MPRA Paper 82555, University Library of Munich, Germany, revised 14 Sep 2016.
    8. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    9. Cosimo Magazzino, 2015. "Energy consumption and GDP in Italy: cointegration and causality analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(1), pages 137-153, February.
    10. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2012. "Coal consumption, CO2 emission and economic growth in China: Empirical evidence and policy responses," Energy Economics, Elsevier, vol. 34(2), pages 518-528.
    11. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    12. Pyoungsoo Lee & You-Jin Park, 2017. "Eco-Efficiency Evaluation Considering Environmental Stringency," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
    13. Cui, Wencong & Li, Jianyi & Xu, Wangtu & Güneralp, Burak, 2021. "Industrial electricity consumption and economic growth: A spatio-temporal analysis across prefecture-level cities in China from 1999 to 2014," Energy, Elsevier, vol. 222(C).
    14. Jalil, Abdul, 2014. "Energy–growth conundrum in energy exporting and importing countries: Evidence from heterogeneous panel methods robust to cross-sectional dependence," Energy Economics, Elsevier, vol. 44(C), pages 314-324.
    15. Zhang, Chuanguo & Xu, Jiao, 2012. "Retesting the causality between energy consumption and GDP in China: Evidence from sectoral and regional analyses using dynamic panel data," Energy Economics, Elsevier, vol. 34(6), pages 1782-1789.
    16. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    17. Tsani, Stela Z., 2010. "Energy consumption and economic growth: A causality analysis for Greece," Energy Economics, Elsevier, vol. 32(3), pages 582-590, May.
    18. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    19. Farzana Sharmin & Mohammed Robayet Khan & Mohammed Robayet Khan, 2016. "A Causal Relationship between Energy Consumption, Energy Prices and Economic Growth in Africa," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 477-494.
    20. Chen, Hanyi & Liu, Kui & Shi, Tie & Wang, Linfeng, 2022. "Coal consumption and economic growth: A Chinese city-level study," Energy Economics, Elsevier, vol. 109(C).

    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:spr:annopr:v:228:y:2015:i:1:p:1-8:10.1007/s10479-014-1528-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.