IDEAS home Printed from https://ideas.repec.org/a/ksa/szemle/1753.html
   My bibliography  Save this article

A hatósági árcsökkentés lakossági energiafelhasználásra gyakorolt hatásának vizsgálata indexdekompozícióval
[Analysing the effects of utility-cost reduction on household energy consumption, using index decomposition]

Author

Listed:
  • Sebestyénné Szép, Tekla

Abstract

A háztartások energiafelhasználását számos tényező alakítja, ezek vizsgálata elengedhetetlen a következetes energiapolitikai döntések meghozatalához. A hatósági árcsökkentés következtében 2013-ban és 2014-ben jelentősen csökkentek a lakossági távhő-, villamosenergia- és földgázárak. A szerző összetevőire bontja a lakossági energiafelhasználás abszolút változását a 2010-2015-ös időszakban, számszerűsíti az ár-, az intenzív és extenzív strukturális, a kiadási és a népességhatást. Az eredmények igazolják az előzetes várakozásokat, a lakossági energiaárak csökkentése pozitívan hatott az energiafelhasználásra, amit a kiadási hatás is erősített. Az intenzív és extenzív strukturális, valamint a népességhatás ugyanakkor nagyrészt ellensúlyozta ezt a hatást, így 2014-ben és 2015-ben stagnált a háztartási szektor időjárási viszonyokkal korrigált, végső energiafelhasználása, a teljes vizsgált időszakban pedig csökkent.* Journal of Economic Literature (JEL) kód: P28, Q41, Q48.

Suggested Citation

  • Sebestyénné Szép, Tekla, 2018. "A hatósági árcsökkentés lakossági energiafelhasználásra gyakorolt hatásának vizsgálata indexdekompozícióval [Analysing the effects of utility-cost reduction on household energy consumption, using i," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 185-205.
  • Handle: RePEc:ksa:szemle:1753
    DOI: 10.18414/KSZ.2018.2.185
    as

    Download full text from publisher

    File URL: http://www.kszemle.hu/tartalom/letoltes.php?id=1753
    Download Restriction: Registration and subscription. 3-month embargo period to non-subscribers.

    File URL: https://libkey.io/10.18414/KSZ.2018.2.185?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. Yuan, Chaoqing & Liu, Sifeng & Wu, Junlong, 2010. "The relationship among energy prices and energy consumption in China," Energy Policy, Elsevier, vol. 38(1), pages 197-207, January.
    2. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    3. Moshiri, Saeed, 2015. "The effects of the energy price reform on households consumption in Iran," Energy Policy, Elsevier, vol. 79(C), pages 177-188.
    4. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    5. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    6. Greg Kaplan & Gianni La Cava & Tahlee Stone, 2018. "Household Economic Inequality in Australia," The Economic Record, The Economic Society of Australia, vol. 94(305), pages 117-134, June.
    7. Achão, Carla & Schaeffer, Roberto, 2009. "Decomposition analysis of the variations in residential electricity consumption in Brazil for the 1980-2007 period: Measuring the activity, intensity and structure effects," Energy Policy, Elsevier, vol. 37(12), pages 5208-5220, December.
    8. Hojjati, Behjat & Wade, Steven H., 2012. "U.S. household energy consumption and intensity trends: A decomposition approach," Energy Policy, Elsevier, vol. 48(C), pages 304-314.
    9. Sorrell, Steve, 2009. "Jevons' Paradox revisited: The evidence for backfire from improved energy efficiency," Energy Policy, Elsevier, vol. 37(4), pages 1456-1469, April.
    10. Gassmann F. & Tsukada R., 2013. "Switching off or switching source : energy consumption and household," MERIT Working Papers 2013-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. Du, Gang & Lin, Wei & Sun, Chuanwang & Zhang, Dingzhong, 2015. "Residential electricity consumption after the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 157(C), pages 276-283.
    12. Liu, F. L. & Ang, B. W., 2003. "Eight methods for decomposing the aggregate energy-intensity of industry," Applied Energy, Elsevier, vol. 76(1-3), pages 15-23, September.
    13. Chung, William & Kam, M.S. & Ip, C.Y., 2011. "A study of residential energy use in Hong Kong by decomposition analysis, 1990–2007," Applied Energy, Elsevier, vol. 88(12), pages 5180-5187.
    14. Zhao, Xiaoli & Ma, Chunbo & Hong, Dongyue, 2010. "Why did China's energy intensity increase during 1998-2006: Decomposition and policy analysis," Energy Policy, Elsevier, vol. 38(3), pages 1379-1388, March.
    Full references (including those not matched with items on IDEAS)

    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. Weiner, Csaba & Szép, Tekla, 2021. "Még egyszer a lakossági hatósági energiaárakról. Egy hungarikum átfogó hatáselemzése [Once again on regulated residential energy prices. A comprehensive impact assessment of a hungarian measure]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1276-1314.
    2. Huang, Yun-Hsun, 2020. "Examining impact factors of residential electricity consumption in Taiwan using index decomposition analysis based on end-use level data," Energy, Elsevier, vol. 213(C).
    3. Hongguang Nie & René Kemp & Véronique Vasseur, 2020. "Exploring the Changing Gap of Residential Energy Consumption per Capita in China and the Netherlands: A Comparative Analysis of Driving Forces," Sustainability, MDPI, vol. 12(11), pages 1-17, June.
    4. Tekla Sebestyén Szép, 2013. "Eight Methods for Decomposing the Aggregate Energy Intensity of the Economic Structure," Theory Methodology Practice (TMP), Faculty of Economics, University of Miskolc, vol. 9(01), pages 77-84.
    5. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    6. Nie, Hongguang & Kemp, René, 2014. "Index decomposition analysis of residential energy consumption in China: 2002–2010," Applied Energy, Elsevier, vol. 121(C), pages 10-19.
    7. Holzmann, Angela & Adensam, Heidelinde & Kratena, Kurt & Schmid, Erwin, 2013. "Decomposing final energy use for heating in the residential sector in Austria," Energy Policy, Elsevier, vol. 62(C), pages 607-616.
    8. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    9. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    10. Kahrl, Fredrich & Roland-Holst, David & Zilberman, David, 2013. "Past as Prologue? Understanding energy use in post-2002 China," Energy Economics, Elsevier, vol. 36(C), pages 759-771.
    11. Tian, Yihui & Zhu, Qinghua & Geng, Yong, 2013. "An analysis of energy-related greenhouse gas emissions in the Chinese iron and steel industry," Energy Policy, Elsevier, vol. 56(C), pages 352-361.
    12. Jiabin Chen & Shaobo Wen, 2020. "Implications of Energy Intensity Ratio for Carbon Dioxide Emissions in China," Sustainability, MDPI, vol. 12(17), pages 1-13, August.
    13. Cansino, José M. & Sánchez-Braza, Antonio & Rodríguez-Arévalo, María L., 2018. "How can Chile move away from a high carbon economy?," Energy Economics, Elsevier, vol. 69(C), pages 350-366.
    14. Lu Jiang & Xingpeng Chen & Bing Xue, 2019. "Features, Driving Forces and Transition of the Household Energy Consumption in China: A Review," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    15. Román-Collado, Rocío & Cansino, José M. & Botia, Camilo, 2018. "How far is Colombia from decoupling? Two-level decomposition analysis of energy consumption changes," Energy, Elsevier, vol. 148(C), pages 687-700.
    16. Cahill, Caiman J. & Ó Gallachóir, Brian P., 2012. "Combining physical and economic output data to analyse energy and CO2 emissions trends in industry," Energy Policy, Elsevier, vol. 49(C), pages 422-429.
    17. Zhang, Ming & Song, Yan & Li, Peng & Li, Huanan, 2016. "Study on affecting factors of residential energy consumption in urban and rural Jiangsu," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 330-337.
    18. Wang, Qunwei & Wang, Yizhong & Zhou, P. & Wei, Hongye, 2017. "Whole process decomposition of energy-related SO2 in Jiangsu Province, China," Applied Energy, Elsevier, vol. 194(C), pages 679-687.
    19. Cansino, José M. & Román, Rocío & Ordóñez, Manuel, 2016. "Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis," Energy Policy, Elsevier, vol. 89(C), pages 150-159.
    20. Pingxing Li & Wei Sun, 2018. "Temporal Evolution and Influencing Factors of Energy Consumption and Related Carbon Emissions from the Perspective of Industrialization and Urbanization in Shanghai, China," Sustainability, MDPI, vol. 10(9), pages 1-13, August.

    More about this item

    JEL classification:

    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

    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:ksa:szemle:1753. 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: Odon Sok (email available below). General contact details of provider: http://www.kszemle.hu .

    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.