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External Effects of Renewable Energy Projects: Life Cycle Analysis-based Approach

Author

Listed:
  • Anastasia Salnikova

    (Kuban State University, Russia)

  • Yuri Chepurko

    (Graduate School of Polyus Research Institute Under M.F. Stelmakh Joint Stock Company, Russia,)

  • Nadezhda Starkova

    (Department of Informatics and Mathematics Economics, Kuban State University, Branch in Novorossiysk, Russia,)

  • Hi?n Nguy?n Ho ng

    (Kuban State University, Russia)

Abstract

Nowadays planning and developing of innovative renewable energy projects across the globe imply calculation and consideration of negative environmental effects not only at the stage of utilization but also at the stage of manufacturing and disposal. Thus, the modern practice of environmental management on a regional level requires the more widespread introduction of life cycle analysis. The aim of the present paper is to develop an environmental effects evaluation methodology based on ecological impact categories through all the stages of lifecycle of renewable energy technologies. We used DEA-based calculation of the efficiency score for each renewable energy technology. EcoInvent database which rests on CML 2001 methodology has been chosen as a source of eco-indicators. We suppose, the efficiency ratio will remain unchanged, when transferring estimates of the life cycle of renewable energy facilities to another territory. This allows us to use data obtained in other regions of the world, to extrapolate comparative assessments and make the choice of the most environmentally preferable technology. The input-oriented DEA modelling has demonstrated geothermal and biogas technologies are the most preferable from an environmental point of view with the highest possible score. The least effective technologies are both modifications of PV with the minimum efficiency score. The results of the presented work might be useful for decision- and policymakers for a more consistent planning and energy strategy deployment.

Suggested Citation

  • Anastasia Salnikova & Yuri Chepurko & Nadezhda Starkova & Hi?n Nguy?n Ho ng, 2019. "External Effects of Renewable Energy Projects: Life Cycle Analysis-based Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 256-262.
    • Handle: RePEc:eco:journ2:2019-04-32
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    References listed on IDEAS

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    1. Svetlana Valerievna Ratner & Pavel Dmitrievich Ratner, 2016. "Regional Energy Efficiency Programs in Russia: The Factors of Success," REGION, European Regional Science Association, vol. 3, pages 71-87.
    2. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    3. Lee, Hyoungsuk & Choi, Yongrok, 2018. "Greenhouse gas performance of Korean local governments based on non-radial DDF," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 13-21.
    4. Lewin, Arie Y. & Lovell, C. A. Knox, 1995. "Productivity analysis: Parametric and non-parametric applications," European Journal of Operational Research, Elsevier, vol. 80(3), pages 218-451, February.
    5. Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Yeh, Tsai-lien & Chen, Tser-yieth & Lai, Pei-ying, 2010. "A comparative study of energy utilization efficiency between Taiwan and China," Energy Policy, Elsevier, vol. 38(5), pages 2386-2394, May.
    8. Svetlana Valerievna Ratner & Vladislav Valerievich Klochkov, 2017. "Scenario Forecast for Wind Turbine Manufacturing in Russia," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 144-151.
    9. Svetlana RATNER & Marina ZARETSKAYA, 2018. "Forecasting the Ecology Effects of Electric Cars Deployment in Krasnodar Region Learning Curves Approach," Journal of Advanced Research in Management, ASERS Publishing, vol. 9(1), pages 82-94.
    10. Jebali, Eya & Essid, Hédi & Khraief, Naceur, 2017. "The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach," Energy, Elsevier, vol. 134(C), pages 991-1000.
    11. Hu, Jin-Li & Wang, Shih-Chuan & Yeh, Fang-Yu, 2006. "Total-factor water efficiency of regions in China," Resources Policy, Elsevier, vol. 31(4), pages 217-230, December.
    12. repec:srs:journl:jemt:v:9:y:2018:i:1:p:82-94 is not listed on IDEAS
    13. Huang, Junbing & Du, Dan & Hao, Yu, 2017. "The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations," Economic Modelling, Elsevier, vol. 65(C), pages 41-50.
    14. Kuhn, Lena & Balezentis, Tomas & Hou, Lingling & Wang, Dan, 2020. "Technical and environmental efficiency of livestock farms in China: A slacks-based DEA approach," China Economic Review, Elsevier, vol. 62(C).
    15. Meng, Wei & Zhang, Daqun & Qi, Li & Liu, Wenbin, 2008. "Two-level DEA approaches in research evaluation," Omega, Elsevier, vol. 36(6), pages 950-957, December.
    16. Acheampong, Alex O., 2018. "Economic growth, CO2 emissions and energy consumption: What causes what and where?," Energy Economics, Elsevier, vol. 74(C), pages 677-692.
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    More about this item

    Keywords

    renewable projects; external effects; LCA analysis; ecological impact;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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