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

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  • 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
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    References listed on IDEAS

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    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. 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.
    3. 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.
    4. 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.
    5. Sorrell, Steve, 2009. "Jevons' Paradox revisited: The evidence for backfire from improved energy efficiency," Energy Policy, Elsevier, vol. 37(4), pages 1456-1469, April.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    11. Moshiri, Saeed, 2015. "The effects of the energy price reform on households consumption in Iran," Energy Policy, Elsevier, vol. 79(C), pages 177-188.
    12. 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.
    13. 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.
    14. 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.
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    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

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