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Households’ Electricity Consumption in Hungarian Urban Areas

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  • Ferenc Bakó

    (Doctoral School of Regional and Economic Sciences, Széchenyi István University, 9026 Győr, Hungary
    Department of International and Theoretical Economics, Kautz Gyula Economics Faculty, Széchenyi István University, 9026 Győr, Hungary)

  • Judit Berkes

    (Department of Economic Analysis, Kautz Gyula Economics Faculty, Széchenyi István University, 9026 Győr, Hungary)

  • Cecília Szigeti

    (Department of International and Theoretical Economics, Kautz Gyula Economics Faculty, Széchenyi István University, 9026 Győr, Hungary)

Abstract

The aim of this study is to examine the factors influencing the electricity consumption of urban households and to prove these with statistically significant results. The study includes 46 small and medium-sized towns in Hungary. The methodology of the study is mainly provided by a model that can be used for this purpose; however, the results obtained with the traditional regression method are compared with the results of another, more complex estimation method, the artificial neural network, which has the advantage of being able to use different types of models. The focus of our article is on methodological alignment, not necessarily the discovery of new results. Certain demographic characteristics significantly determine the energy demand of a household sector in a municipality. In this case, as the ratio of people aged 60 or over within a city rises by 1%, the urban household average energy consumption decreases by 61 kilowatt hours, and when it rises by 1%, the amount of pollutants expelled from urban households’ average energy consumption may decrease by 22.8745 kg. The research area of our paper was greatly influenced by the availability of the statistical data. The results can be used in the planning of urban developments.

Suggested Citation

  • Ferenc Bakó & Judit Berkes & Cecília Szigeti, 2021. "Households’ Electricity Consumption in Hungarian Urban Areas," Energies, MDPI, vol. 14(10), pages 1-23, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2899-:d:556461
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    1. Roberto Patuelli & Peter Nijkamp & Simonetta Longhi & Aura Reggiani, 2008. "Neural Networks and Genetic Algorithms as Forecasting Tools: A Case Study on German Regions," Environment and Planning B, , vol. 35(4), pages 701-722, August.
    2. Mindali, Orit & Raveh, Adi & Salomon, Ilan, 2004. "Urban density and energy consumption: a new look at old statistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(2), pages 143-162, February.
    3. Zheng, Wei & Walsh, Patrick Paul, 2019. "Economic growth, urbanization and energy consumption — A provincial level analysis of China," Energy Economics, Elsevier, vol. 80(C), pages 153-162.
    4. Muhammad Shahbaz & S M Aamir Shamim & Naveed Aamir, 2010. "Macroeconomic Environment and Financial Sector’s Performance: Econometric Evidence from Three Traditional Approaches," The IUP Journal of Financial Economics, IUP Publications, vol. 0(1 & 2), pages 103-123, March & J.
    5. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    6. Valadkhani, Abbas & Smyth, Russell & Nguyen, Jeremy, 2019. "Effects of primary energy consumption on CO2 emissions under optimal thresholds: Evidence from sixty countries over the last half century," Energy Economics, Elsevier, vol. 80(C), pages 680-690.
    7. Sheth, Jagdish, 2020. "Impact of Covid-19 on consumer behavior: Will the old habits return or die?," Journal of Business Research, Elsevier, vol. 117(C), pages 280-283.
    8. John Stevens & Rob Henderson & James Webber & Barry Evans & Albert Chen & Slobodan Djordjević & Daniel Sánchez-Muñoz & José Domínguez-García, 2020. "Interlinking Bristol Based Models to Build Resilience to Climate Change," Sustainability, MDPI, vol. 12(8), pages 1-19, April.
    9. Jota Samper & Jennifer A. Shelby & Dean Behary, 2020. "The Paradox of Informal Settlements Revealed in an ATLAS of Informality: Findings from Mapping Growth in the Most Common Yet Unmapped Forms of Urbanization," Sustainability, MDPI, vol. 12(22), pages 1-25, November.
    10. Brückner, Markus, 2012. "Economic growth, size of the agricultural sector, and urbanization in Africa," Journal of Urban Economics, Elsevier, vol. 71(1), pages 26-36.
    11. Bingjie Xu & Ruoyu Zhong & Yifeng Liu, 2019. "Comparison of CO 2 emissions reduction efficiency of household fuel consumption in China," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    12. Magdalena Wilkosz-Mamcarczyk & Barbara Olczak & Barbara Prus, 2020. "Urban Features in Rural Landscape: A Case Study of the Municipality of Skawina," Sustainability, MDPI, vol. 12(11), pages 1-24, June.
    13. Yasmeen, Humaira & Tan, Qingmei & Zameer, Hashim & Vo, Xuan Vinh & Shahbaz, Muhammad, 2021. "Discovering the relationship between natural resources, energy consumption, gross capital formation with economic growth: Can lower financial openness change the curse into blessing," Resources Policy, Elsevier, vol. 71(C).
    14. Wenheng Wu & Hongying Zhu & Yinghao Qu & Kaiying Xu, 2017. "Regional Disparities in Emissions of Rural Household Energy Consumption: A Case Study of Northwest China," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    15. Radmehr, Riza & Henneberry, Shida Rastegari & Shayanmehr, Samira, 2021. "Renewable Energy Consumption, CO2 Emissions, and Economic Growth Nexus: A Simultaneity Spatial Modeling Analysis of EU Countries," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 13-27.
    16. Roberto Patuelli & Peter Nijkamp & Simonetta Longhi & Aura Reggiani, 2008. "Neural Networks and Genetic Algorithms as Forecasting Tools: A Case Study on German Regions," Environment and Planning B, , vol. 35(4), pages 701-722, August.
    17. Khan, Irfan & Hou, Fujun & Zakari, Abdulrasheed & Tawiah, Vincent Konadu, 2021. "The dynamic links among energy transitions, energy consumption, and sustainable economic growth: A novel framework for IEA countries," Energy, Elsevier, vol. 222(C).
    18. Sorrell, Steve, 2009. "Jevons' Paradox revisited: The evidence for backfire from improved energy efficiency," Energy Policy, Elsevier, vol. 37(4), pages 1456-1469, April.
    19. Thomas Elliot & Javier Babí Almenar & Samuel Niza & Vânia Proença & Benedetto Rugani, 2019. "Pathways to Modelling Ecosystem Services within an Urban Metabolism Framework," Sustainability, MDPI, vol. 11(10), pages 1-22, May.
    20. Myer, Gordon L. & Yanagida, John F., 1984. "Combining Annual Econometric Forecasts With Quarterly Arima Froecasts: A Heuristic Approach," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 9(1), pages 1-7, July.
    21. Munir, Qaiser & Lean, Hooi Hooi & Smyth, Russell, 2020. "CO2 emissions, energy consumption and economic growth in the ASEAN-5 countries: A cross-sectional dependence approach," Energy Economics, Elsevier, vol. 85(C).
    22. Fremstad, Anders & Underwood, Anthony & Zahran, Sammy, 2018. "The Environmental Impact of Sharing: Household and Urban Economies in CO2 Emissions," Ecological Economics, Elsevier, vol. 145(C), pages 137-147.
    23. Dogan, Eyup & Altinoz, Buket & Madaleno, Mara & Taskin, Dilvin, 2020. "The impact of renewable energy consumption to economic growth: A replication and extension of Inglesi-Lotz (2016)," Energy Economics, Elsevier, vol. 90(C).
    24. Gyo-Eon Shim & Sung-Mo Rhee & Kun-Hyuck Ahn & Sung-Bong Chung, 2006. "The relationship between the characteristics of transportation energy consumption and urban form," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(2), pages 351-367, June.
    25. Salari, Mahmoud & Javid, Roxana J. & Noghanibehambari, Hamid, 2021. "The nexus between CO2 emissions, energy consumption, and economic growth in the U.S," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 182-194.
    26. Remco de Koning & Wendy Guan Zhen Tan & Akkelies van Nes, 2020. "Assessing Spatial Configurations and Transport Energy Usage for Planning Sustainable Communities," Sustainability, MDPI, vol. 12(19), pages 1-23, October.
    27. Perrings,Charles, 2005. "Economy and Environment," Cambridge Books, Cambridge University Press, number 9780521020763, September.
    28. Poumanyvong, Phetkeo & Kaneko, Shinji, 2010. "Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis," Ecological Economics, Elsevier, vol. 70(2), pages 434-444, December.
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    2. Clara Lenk & Rosalie Arendt & Vanessa Bach & Matthias Finkbeiner, 2021. "Territorial-Based vs. Consumption-Based Carbon Footprint of an Urban District—A Case Study of Berlin-Wedding," Sustainability, MDPI, vol. 13(13), pages 1-18, June.
    3. Gordic, Dusan & Nikolic, Jelena & Vukasinovic, Vladimir & Josijevic, Mladen & Aleksic, Aleksandar D., 2023. "Offsetting carbon emissions from household electricity consumption in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
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