IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v37y2009i12p5007-5018.html
   My bibliography  Save this article

Comparison of Turkey's performance of greenhouse gas emissions and local/regional pollutants with EU countries

Author

Listed:
  • Sözen, Adnan
  • Alp, Ihsan

Abstract

Turkey signed the Kyoto Protocol on February 17th, 2009. Therefore, to fulfill the liabilities of the Kyoto Protocol, she has to review her status and make strategic plans to hold the emissions at the levels specified in the protocol. For this purpose, in this study employing data envelopment analysis (DEA), Turkey's greenhouse gas (GHG) emissions and local/regional pollutants compared to the European Union (EU) countries have been put in place. Since the data on Malta and Cyprus was inadequate, these two nations were excluded from the evaluation. As a candidate for EU, Turkey is required to reduce the emissions by 8% until 2012 within the framework of the Kyoto Protocol. Two models were considered in this performance work: (i) the first model for the input energy consumption, GHG and local/regional pollutants (total GHG, CO2, F (emissions of non-methane volatile organic compounds), CO, NO2, SO2) has been considered as the output value. (ii) In the second model, the values entered in the sectoral energy consumption have been considered as GHG emissions and local/regional pollutants output. Model 2 was taken into account in which different inputs were employed to observe the impacts of input values causing GHG emissions on emission. DEA technique is used, which holds the output constant in the direction which should reduce the input. For this purpose, the effect of sectoral energy consumption on total emission was identified and it was aimed to identify on which energy resources the strategy developed for emission reduction should be.

Suggested Citation

  • Sözen, Adnan & Alp, Ihsan, 2009. "Comparison of Turkey's performance of greenhouse gas emissions and local/regional pollutants with EU countries," Energy Policy, Elsevier, vol. 37(12), pages 5007-5018, December.
  • Handle: RePEc:eee:enepol:v:37:y:2009:i:12:p:5007-5018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(09)00482-0
    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. Honma, Satoshi & Hu, Jin-Li, 2009. "Total-factor energy productivity growth of regions in Japan," Energy Policy, Elsevier, vol. 37(10), pages 3941-3950, October.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. 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.
    4. Honma, Satoshi & Hu, Jin-Li, 2008. "Total-factor energy efficiency of regions in Japan," Energy Policy, Elsevier, vol. 36(2), pages 821-833, February.
    5. Balat, Mustafa, 2008. "Energy consumption and economic growth in Turkey during the past two decades," Energy Policy, Elsevier, vol. 36(1), pages 118-127, January.
    6. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    8. Lozano, Sebastián & Gutiérrez, Ester, 2008. "Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions," Ecological Economics, Elsevier, vol. 66(4), pages 687-699, 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. 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.
    2. Honma, Satoshi, 2012. "Environmental and economic efficiencies in the Asia-Pacific region," MPRA Paper 43361, University Library of Munich, Germany.
    3. Honma, Satoshi & Hu, Jin-Li, 2014. "A panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regions," Energy, Elsevier, vol. 78(C), pages 732-739.
    4. Taseska, V. & Markovska, N. & Causevski, A. & Bosevski, T. & Pop-Jordanov, J., 2011. "Greenhouse gases (GHG) emissions reduction in a power system predominantly based on lignite," Energy, Elsevier, vol. 36(4), pages 2266-2270.
    5. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    6. Sözen, Adnan & Alp, İhsan & Kilinc, Cuma, 2012. "Efficiency assessment of the hydro-power plants in Turkey by using Data Envelopment Analysis," Renewable Energy, Elsevier, vol. 46(C), pages 192-202.
    7. Mehmet APAN & İhsan ALP & Ahmet ÖZTEL, 2019. "Determination of the Efficiencies of Textile Firms Listed in Borsa İstanbul by Using DEA-Window Analysis," Sosyoekonomi Journal, Sosyoekonomi Society, issue 27(42).
    8. Sözen, Adnan & Alp, Ihsan & Özdemir, Adnan, 2010. "Assessment of operational and environmental performance of the thermal power plants in Turkey by using data envelopment analysis," Energy Policy, Elsevier, vol. 38(10), pages 6194-6203, October.
    9. Özkara, Yücel & Atak, Mehmet, 2015. "Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey," Energy, Elsevier, vol. 93(P1), pages 495-510.
    10. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    11. Satoshi Honma & Jin-Li Hu, 2011. "Industry-level Total-factor Energy Efficiency in Developed Countries," Discussion Papers 51, Kyushu Sangyo University, Faculty of Economics.
    12. Honma, Satoshi & Hu, Jin-Li, 2014. "Industry-level total-factor energy efficiency in developed countries: A Japan-centered analysis," Applied Energy, Elsevier, vol. 119(C), pages 67-78.
    13. Zirogiannis, Nikolaos & Simon, Daniel H. & Hollingsworth, Alex J., 2020. "Estimating co-pollutant benefits from climate change policies in the electricity sector: A regression approach," Energy Economics, Elsevier, vol. 90(C).

    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. Djula Borozan & Luka Borozan, 2018. "Analyzing total-factor energy efficiency in Croatian counties: evidence from a non-parametric approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(3), pages 673-694, September.
    2. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    3. Du, Huibin & Matisoff, Daniel C. & Wang, Yangyang & Liu, Xi, 2016. "Understanding drivers of energy efficiency changes in China," Applied Energy, Elsevier, vol. 184(C), pages 1196-1206.
    4. Sözen, Adnan & Alp, İhsan & Kilinc, Cuma, 2012. "Efficiency assessment of the hydro-power plants in Turkey by using Data Envelopment Analysis," Renewable Energy, Elsevier, vol. 46(C), pages 192-202.
    5. Bhat, Javed Ahmad & Haider, Salman & Kamaiah, Bandi, 2018. "Interstate energy efficiency of Indian paper industry: A slack-based non-parametric approach," Energy, Elsevier, vol. 161(C), pages 284-298.
    6. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    7. Ramanathan, Ramakrishnan & Ramanathan, Usha & Bentley, Yongmei, 2018. "The debate on flexibility of environmental regulations, innovation capabilities and financial performance – A novel use of DEA," Omega, Elsevier, vol. 75(C), pages 131-138.
    8. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    9. Xing Zhao & Xin Zhang, 2022. "Research on the Evaluation and Regional Differences in Carbon Emissions Efficiency of Cultural and Related Manufacturing Industries in China’s Yangtze River Basin," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    10. Chang, Ming-Chung, 2013. "A comment on the calculation of the total-factor energy efficiency (TFEE) index," Energy Policy, Elsevier, vol. 53(C), pages 500-504.
    11. Honma, Satoshi & Ushifusa, Yoshiaki & Okamura, Soyoka & Vandercamme, Lilu, 2023. "Measuring carbon emissions performance of Japan's metal industry: Energy inputs, agglomeration, and the potential for green recovery reduction," Resources Policy, Elsevier, vol. 82(C).
    12. Li, Lan-Bing & Hu, Jin-Li, 2012. "Ecological total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 46(C), pages 216-224.
    13. Mehdi Toloo & Soroosh Nalchigar & Babak Sohrabi, 2018. "Selecting most efficient information system projects in presence of user subjective opinions: a DEA approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 1027-1051, December.
    14. Georgia Makridou, Kostas Andriosopoulos, Michael Doumpos, and Constantin Zopounidis, 2015. "A Two-stage approach for energy efficiency analysis in European Union countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    15. Xiang Ji & Jiasen Sun & Qunwei Wang & Qianqian Yuan, 2019. "Revealing Energy Over-Consumption and Pollutant Over-Emission Behind GDP: A New Multi-criteria Sustainable Measure," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1391-1421, December.
    16. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
    17. Yang Li & An-Chi Liu & Shu-Mei Wang & Yiting Zhan & Jingran Chen & Hsiao-Fen Hsiao, 2022. "A Study of Total-Factor Energy Efficiency for Regional Sustainable Development in China: An Application of Bootstrapped DEA and Clustering Approach," Energies, MDPI, vol. 15(9), pages 1-13, April.
    18. Chang, Ming-Chung, 2020. "An application of total-factor energy efficiency under the metafrontier framework," Energy Policy, Elsevier, vol. 142(C).
    19. Bian, Yiwen & Hu, Miao & Wang, Yousen & Xu, Hao, 2016. "Energy efficiency analysis of the economic system in China during 1986–2012: A parallel slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 990-998.
    20. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(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:eee:enepol:v:37:y:2009:i:12:p:5007-5018. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.