Abstract
The electrical energy expenditure of households in Turkey has been increasing over the years, and households account for one-fifth of the overall electrical energy consumption. For this reason, it is of vital importance to determine the factors that affect household electricity expenditure, reveal consumption patterns for different consumer groups, and propose suggestions for the efficient use of electrical energy. In the present study, determinants of household electricity expenditure were analyzed with the quantile regression approach using the Household Budget Survey published by the Turkish Statistical Institute. In conclusion, it was determined that demographic, economic, and residential factors had significant effects on the electricity expenditures of households. The present study will serve as a guide for policymakers and decision-makers in developing strategies and conducting studies toward reducing the electricity expenditures of households, which is an important factor for energy usage.
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Data availability
The data underlying this study is subject to third-party restrictions by the Turkey Statistical Institute. Data ara available from the Turkish Statistical Institute (bilgi@tuik.gov.tr) for researchers who meet the criteria for access to confidential data.
References
Adusah-Poku, F., & Takeuchi, K. (2019). Household energy expenditure in Ghana: A double-hurdle model approach. World Development, 117. https://doi.org/10.1016/j.worlddev.2019.01.018
Alberini, A., Gans, W., & Velez-Lopez, D. (2011). Residential consumption of gas and electricity in the U.S.: The role of prices and income. Energy Economics, 33(5), 870–881. https://doi.org/10.1016/j.eneco.2011.01.015
Al-Garni, A. (1994). A regression model for electric-energy-consumption forecasting in Eastern Saudi Arabia. Energy, 19(10), 1043–1049. https://doi.org/10.1016/0360-5442(94)90092-2
Alkon, M., Harish, S. P., & Urpelainen, J. (2016). Household energy access and expenditure in developing countries: Evidence from India, 1987–2010. Energy for Sustainable Development, 35, 25–34. https://doi.org/10.1016/j.esd.2016.08.003
Anderson, B., Lin, S., Newing, A., Bahaj, A., & James, P. (2017). Electricity consumption and household characteristics: Implications for census-taking in a smart metered future. Computers, Environment and Urban Systems, 63, 58–67. https://doi.org/10.1016/j.compenvurbsys.2016.06.003
Aziz, S., & Chowdhury, S. A. (2021). Determinants of off-grid electrification choice and expenditure: Evidence from Bangladesh. Energy, 219, 119578. https://doi.org/10.1016/j.energy.2020.119578
Bartusch, C., Odlare, M., Wallin, F., & Wester, L. (2012). Exploring variance in residential electricity consumption: Household features and building properties. Applied Energy, 92, 637–643. https://doi.org/10.1016/j.apenergy.2011.04.034
Basumatary, S., Devi, M., & Basumatary, K. (2021). Determınants of household electrıcıty demand ın Rural Indıa: A case study of the ımpacts of government subsıdıes and surcharges. International Journal of Energy Economics and Policy, 11(6), 243–249. https://doi.org/10.32479/ijeep.11716
Beckel, C., Sadamori, L., Staake, T., & Santini, S. (2014). Revealing household characteristics from smart meter data. Energy, 78, 397–410. https://doi.org/10.1016/j.energy.2014.10.025
Bedir, M., Hasselaar, E., & Itard, L. (2013). Determinants of electricity consumption in Dutch dwellings. Energy and Buildings, 58, 194–207. https://doi.org/10.1016/j.enbuild.2012.10.016
Belaïd, F. (2017). Untangling the complexity of the direct and indirect determinants of the residential energy consumption in France: Quantitative analysis using a structural equation modeling approach. Energy Policy, 110, 246–256. https://doi.org/10.1016/j.enpol.2017.08.027
Belaïd, F., Rault, C., & Massié, C. (2022). A life-cycle theory analysis of French household electricity demand. Journal of Evolutionary Economics, 32(2), 501–530. https://doi.org/10.1007/s00191-021-00730-x
Belaid, F., & Rault, C. (2021). Energy expenditure in Egypt: Empirical evidence based on a quantile regression approach. Environmental Modeling and Assessment, 26(4) https://doi.org/10.1007/s10666-021-09764-8
Belaïd, F. (2016). Understanding the spectrum of domestic energy consumption: Empirical evidence from France. Energy Policy, 92 https://doi.org/10.1016/j.enpol.2016.02.015
Besagni, G., & Borgarello, M. (2018). The determinants of residential energy expenditure in Italy. Energy, 165, 369–386. https://doi.org/10.1016/j.energy.2018.09.108
Brounen, D., Kok, N., & Quigley, J. M. (2012). Residential energy use and conservation: Economics and demographics. European Economic Review, 56(5), 931–945. https://doi.org/10.1016/J.EUROECOREV.2012.02.007
Carlson, D. R., Scott Matthews, H., & Bergés, M. (2013). One size does not fit all: Averaged data on household electricity is inadequate for residential energy policy and decisions. Energy and Buildings, 64, 132–144. https://doi.org/10.1016/j.enbuild.2013.04.005
Carlsson-Kanyama, A., & Lindén, A.-L. (2007). Energy efficiency in residences—Challenges for women and men in the North. Energy Policy, 35(4), 2163–2172. https://doi.org/10.1016/j.enpol.2006.06.018
Çebi Karaaslan, K. (2021). Analysis of factors affecting ındividuals’ sources of happiness with multinomial logistic model. Journal of Measurement and Evaluation in Education and Psychology, 12(3), 286–302. https://doi.org/10.21031/epod.925631
Cramer, J. (1985). Social and engineering determinants and their equity implications in residential electricity use. Energy, 10(12), 1283–1291. https://doi.org/10.1016/0360-5442(85)90139-2
Dilaver, Z., & Hunt, L. C. (2011). Modelling and forecasting Turkish residential electricity demand. Energy Policy, 39(6), 3117–3127. https://doi.org/10.1016/j.enpol.2011.02.059
Druckman, A., & Jackson, T. (2008). Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model. Energy Policy, 36(8), 3177–3192. https://doi.org/10.1016/j.enpol.2008.03.021
Egelioglu, F., Mohamad, A. A., & Guven, H. (2001). Economic variables and electricity consumption in Northern Cyprus. Energy, 26(4), 355–362. https://doi.org/10.1016/S0360-5442(01)00008-1
Elnakat, A., Gomez, J. D., & Booth, N. (2016). A zip code study of socioeconomic, demographic, and household gendered influence on the residential energy sector. Energy Reports, 2, 21–27. https://doi.org/10.1016/J.EGYR.2016.01.003
Filippini, M., & Pachauri, S. (2004). Elasticities of electricity demand in urban Indian households. Energy Policy, 32(3), 429–436. https://doi.org/10.1016/S0301-4215(02)00314-2
Firth, S., Lomas, K., Wright, A., & Wall, R. (2008). Identifying trends in the use of domestic appliances from household electricity consumption measurements. Energy and Buildings, 40(5). https://doi.org/10.1016/j.enbuild.2007.07.005
Frondel, M., Sommer, S., & Vance, C. (2019). Heterogeneity in German residential electricity consumption: A quantile regression approach. Energy Policy, 131, 370–379. https://doi.org/10.1016/j.enpol.2019.03.045
Genjo, K., Tanabe, S., Matsumoto, S., Hasegawa, K., & Yoshino, H. (2005). Relationship between possession of electric appliances and electricity for lighting and others in Japanese households. Energy and Buildings, 37(3), 259–272. https://doi.org/10.1016/j.enbuild.2004.06.025
González-Torres, M., Pérez-Lombard, L., Coronel, J. F., Maestre, I. R., & Paolo, B. (2022). Activity and efficiency trends for the residential sector across countries. Energy and Buildings, 273, 112428. https://doi.org/10.1016/j.enbuild.2022.112428
Guo, Z., Zhou, K., Zhang, C., Lu, X., Chen, W., & Yang, S. (2018). Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies. Renewable and Sustainable Energy Reviews, 81, 399–412. https://doi.org/10.1016/j.rser.2017.07.046
Haas, R., Biermayr, P., Zoechling, J., & Auer, H. (1998). Impacts on electricity consumption of household appliances in Austria: A comparison of time series and cross-section analyses. Energy Policy, 26(13), 1031–1040. https://doi.org/10.1016/S0301-4215(98)00057-3
Halvorsen, B., & Larsen, B. M. (2001). Norwegian residential electricity demand—A microeconomic assessment of the growth from 1976 to 1993. Energy Policy, 29(3), 227–236. https://doi.org/10.1016/S0301-4215(00)00106-3
Hamilton, I. G., Steadman, P. J., Bruhns, H., Summerfield, A. J., & Lowe, R. (2013). Energy efficiency in the British housing stock: Energy demand and the Homes Energy Efficiency Database. Energy Policy, 60, 462–480. https://doi.org/10.1016/j.enpol.2013.04.004
Hill, D. R. (2015). Regional determinants of residential energy expenditures and the principal-agent problem in Austria. Regıon, 2(1), Y1–Y16. https://doi.org/10.18335/region.v2i1.66
Huang, W.-H. (2015). The determinants of household electricity consumption in Taiwan: Evidence from quantile regression. Energy, 87, 120–133. https://doi.org/10.1016/j.energy.2015.04.101
Jones, R. V., Fuertes, A., & Lomas, K. J. (2015). The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings. Renewable and Sustainable Energy Reviews, 43, 901–917. https://doi.org/10.1016/J.RSER.2014.11.084
Karatasou, S., Laskari, M., & Santamouris, M. (2018). Determinants of high electricity use and high energy consumption for space and water heating in European social housing: Socio-demographic and building characteristics. Energy and Buildings, 170, 107–114. https://doi.org/10.1016/j.enbuild.2018.04.019
Katre, A., Tozzi, A., & Bhattacharyya, S. (2019). Sustainability of community-owned mini-grids: Evidence from India. Energy, Sustainability and Society, 9(1), 2. https://doi.org/10.1186/s13705-018-0185-9
Kavousian, A., Rajagopal, R., & Fischer, M. (2013). Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants’ behavior. Energy, 55, 184–194. https://doi.org/10.1016/j.energy.2013.03.086
Kaza, N. (2010). Understanding the spectrum of residential energy consumption: A quantile regression approach. Energy Policy, 38(11), 6574–6585. https://doi.org/10.1016/j.enpol.2010.06.028
Kennedy, P. E. (1981). Estimation with correctly interpreted dummy variables in semilogarithmic equations [the interpretation of dummy variables in semilogarithmic equations]. American Economic Review, 71(4), 801–801.
Kim, M.-J. (2020). Understanding the determinants on household electricity consumption in Korea: OLS regression and quantile regression. The Electricity Journal, 33(7), 106802. https://doi.org/10.1016/j.tej.2020.106802
Koç, P. (2021). Türkiye’de Kişi Başına Düşen Gelir ve Hanehalkı Büyüklüğünün Enerji Tüketimi Üzerindeki Etkisinin Analizi: Bölgesel Bir Yaklaşım. 3. Sektör Sosyal Ekonomi Dergisi. https://doi.org/10.15659/3.sektor-sosyal-ekonomi.21.11.1595
Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33. https://doi.org/10.2307/1913643
Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of Economic Perspectives, 15(4), 143–156. https://doi.org/10.1257/jep.15.4.143
Kostakis, I. (2020). Socio-demographic determinants of household electricity consumption: Evidence from Greece using quantile regression analysis. Current Research in Environmental Sustainability, 1, 23–30. https://doi.org/10.1016/J.CRSUST.2020.04.001
Krishnamurthy, C. K. B., & Kriström, B. (2015). A cross-country analysis of residential electricity demand in 11 OECD-countries. Resource and Energy Economics, 39, 68–88. https://doi.org/10.1016/j.reseneeco.2014.12.002
Lam, J. C. (1998). Climatic and economic influences on residential electricity consumption. Energy Conversion and Management, 39(7), 623–629. https://doi.org/10.1016/S0196-8904(97)10008-5
Leahy, E., & Lyons, S. (2010). Energy use and appliance ownership in Ireland. Energy Policy, 38(8), 4265–4279. https://doi.org/10.1016/j.enpol.2010.03.056
Levinson, A., & Niemann, S. (2004). Energy use by apartment tenants when landlords pay for utilities. Resource and Energy Economics, 26(1), 51–75. https://doi.org/10.1016/S0928-7655(03)00047-2
Lévy, J.-P., & Belaïd, F. (2018). The determinants of domestic energy consumption in France: Energy modes, habitat, households and life cycles. Renewable and Sustainable Energy Reviews, 81, 2104–2114. https://doi.org/10.1016/j.rser.2017.06.022
Longhi, S. (2015). Residential energy expenditures and the relevance of changes in household circumstances. Energy Economics, 49, 440–450. https://doi.org/10.1016/j.eneco.2015.03.018
Louw, K., Conradie, B., Howells, M., & Dekenah, M. (2008). Determinants of electricity demand for newly electrified low-income African households. Energy Policy, 36(8), 2812–2818. https://doi.org/10.1016/j.enpol.2008.02.032
McLoughlin, F., Duffy, A., & Conlon, M. (2012). Characterising domestic electricity consumption patterns by dwelling and occupant socio-economic variables: An Irish case study. Energy and Buildings, 48, 240–248. https://doi.org/10.1016/j.enbuild.2012.01.037
McLoughlin, F., Duffy, A., & Conlon, M. (2015). A clustering approach to domestic electricity load profile characterisation using smart metering data. Applied Energy, 141, 190–199. https://doi.org/10.1016/J.APENERGY.2014.12.039
Ndiaye, D., & Gabriel, K. (2011). Principal component analysis of the electricity consumption in residential dwellings. Energy and Buildings, 43(2–3), 446–453. https://doi.org/10.1016/j.enbuild.2010.10.008
Nielsen, L. (1993). How to get the birds in the bush into your hand. Energy Policy, 21(11), 1133–1144. https://doi.org/10.1016/0301-4215(93)90263-F
Niu, S., Jia, Y., Ye, L., Dai, R., & Li, N. (2016). Does electricity consumption improve residential living status in less developed regions? An empirical analysis using the quantile regression approach. Energy, 95, 550–560. https://doi.org/10.1016/J.ENERGY.2015.12.029
Nsangou, J. C., Kenfack, J., Nzotcha, U., Ngohe Ekam, P. S., Voufo, J., & Tamo, T. T. (2022). Explaining household electricity consumption using quantile regression, decision tree and artificial neural network. Energy, 250, 123856. https://doi.org/10.1016/j.energy.2022.123856
Parker, D. S. (2003). Research highlights from a large scale residential monitoring study in a hot climate. Energy and Buildings, 35(9), 863–876. https://doi.org/10.1016/S0378-7788(02)00244-X
Permana, A. S., Aziz, N. A., & Siong, H. C. (2015). Is mom energy efficient? A study of gender, household energy consumption and family decision making in Indonesia. Energy Research & Social Science, 6, 78–86. https://doi.org/10.1016/j.erss.2014.12.007
Rahut, D. B., Das, S., de Groote, H., & Behera, B. (2014). Determinants of household energy use in Bhutan. Energy, 69, 661–672. https://doi.org/10.1016/j.energy.2014.03.062
Rahut, D. B., Behera, B., & Ali, A. (2016). Household energy choice and consumption intensity: Empirical evidence from Bhutan. Renewable and Sustainable Energy Reviews, 53, 993–1009. https://doi.org/10.1016/j.rser.2015.09.019
Ranjan, M., & Jain, V. K. (1999). Modelling of electrical energy consumption in Delhi. Energy, 24(4), 351–361. https://doi.org/10.1016/S0360-5442(98)00087-5
Rehdanz, K. (2007). Determinants of residential space heating expenditures in Germany. Energy Economics, 29(2), 167–182. https://doi.org/10.1016/J.ENECO.2006.04.002
Ryu, J.-Y., Kim, D.-W., & Kim, M.-K. (2021). Household differentiation and residential electricity demand in Korea. Energy Economics, 95, 105090. https://doi.org/10.1016/j.eneco.2020.105090
Sakah, M., de la Rue du Can, S., Diawuo, F. A., Sedzro, M. D., & Kuhn, C. (2019). A study of appliance ownership and electricity consumption determinants in urban Ghanaian households. Sustainable Cities and Society, 44, 559–581. https://doi.org/10.1016/J.SCS.2018.10.019
Salari, M., & Javid, R. J. (2017). Modeling household energy expenditure in the United States. Renewable and Sustainable Energy Reviews, 69, 822–832. https://doi.org/10.1016/j.rser.2016.11.183
Sánchez-Sellero, M. C., & Sánchez-Sellero, P. (2019). Variables determining total and electrical expenditure in Spanish households. Sustainable Cities and Society, 48, 101535. https://doi.org/10.1016/J.SCS.2019.101535
Sanquist, T. F., Orr, H., Shui, B., & Bittner, A. C. (2012). Lifestyle factors in U.S. residential electricity consumption. Energy Policy, 42, 354–364. https://doi.org/10.1016/j.enpol.2011.11.092
Santamouris, M., Kapsis, K., Korres, D., Livada, I., Pavlou, C., & Assimakopoulos, M. N. (2007). On the relation between the energy and social characteristics of the residential sector. Energy and Buildings, 39(8), 893–905. https://doi.org/10.1016/j.enbuild.2006.11.001
Sharma, A., Agrawal, S., & Urpelainen, J. (2020). The adoption and use of solar mini-grids in grid-electrified Indian villages. Energy for Sustainable Development, 55, 139–150. https://doi.org/10.1016/j.esd.2020.01.005
Strategy Development Department. (2021). Turkey Electricity Distribution Inc. (TEDAŞ) General Directorate 2020 Turkey Electricity Distribution Sector Report.
Summerfield, A. J., Lowe, R. J., Bruhns, H. R., Caeiro, J. A., Steadman, J. P., & Oreszczyn, T. (2007). Milton Keynes Energy Park revisited: Changes in internal temperatures and energy usage. Energy and Buildings, 39(7), 783–791. https://doi.org/10.1016/j.enbuild.2007.02.012
Taale, F., & Kyeremeh, C. (2019). Drivers of households’ electricity expenditure in Ghana. Energy and Buildings, 205, 109546. https://doi.org/10.1016/j.enbuild.2019.109546
Tiwari, P. (2000). Architectural, demographic, and economic causes of electricity consumption in Bombay. Journal of Policy Modeling, 22(1), 81–98. https://doi.org/10.1016/S0161-8938(98)00003-9
Tsemekidi Tzeiranaki, S., Bertoldi, P., Diluiso, F., Castellazzi, L., Economidou, M., Labanca, N., et al. (2019). Analysis of the EU Residential Energy Consumption: Trends and determinants. Energies, 12(6), 1065. https://doi.org/10.3390/en12061065
Tso, G. (2003). A study of domestic energy usage patterns in Hong Kong. Energy, 28(15), 1671–1682. https://doi.org/10.1016/S0360-5442(03)00153-1
Tso, G. K. F., & Yau, K. K. W. (2007). Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks. Energy, 32(9), 1761–1768. https://doi.org/10.1016/j.energy.2006.11.010
TÜİK (TURKSTAT). (2020). Hanehalkı Bütçe Araştırması Tüketim Harcamaları Birleşik Mikro Veri Seti (Household budget survey consumption expenditures combined micro data set), 2016–2017–2018.https://www.tuik.gov.tr. Accessed June 2020
Ünver, Ş, Tekmanli, H. H., & Alkan, Ö. (2023). Passive smoking as a risk factor among older adults: An ordered probability approach for Türkiye. Frontiers in Public Health, 11, 1142635.
Valenzuela, C., Valencia, A., White, S., Jordan, J. A., Cano, S., Keating, J., Nagorski, J., & Potter, L. B. (2014). An analysis of monthly household energy consumption among single-family residences in Texas, 2010. Energy Policy, 69. https://doi.org/10.1016/j.enpol.2013.12.009
van den Brom, P., Meijer, A., & Visscher, H. (2018). Performance gaps in energy consumption: Household groups and building characteristics. Building Research and Information, 46(1). https://doi.org/10.1080/09613218.2017.1312897
Wallis, H., Nachreiner, M., & Matthies, E. (2016). Adolescents and electricity consumption; Investigating sociodemographic, economic, and behavioural influences on electricity consumption in households. Energy Policy, 94, 224–234. https://doi.org/10.1016/j.enpol.2016.03.046
Wassie, Y. T., & Ahlgren, E. O. (2023). Determinants of electricity consumption from decentralized solar PV mini-grids in rural East Africa: An econometric analysis. Energy, 274, 127351. https://doi.org/10.1016/j.energy.2023.127351
Wiesmann, D., Lima Azevedo, I., Ferrão, P., & Fernández, J. E. (2011). Residential electricity consumption in Portugal: Findings from top-down and bottom-up models. Energy Policy, 39(5), 2772–2779. https://doi.org/10.1016/J.ENPOL.2011.02.047
Wijaya, M. E., & Tezuka, T. (2013). A comparative study of households’ electricity consumption characteristics in Indonesia: A techno-socioeconomic analysis. Energy for Sustainable Development, 17(6), 596–604. https://doi.org/10.1016/j.esd.2013.09.004
Wyatt, P. (2013). A dwelling-level investigation into the physical and socio-economic drivers of domestic energy consumption in England. Energy Policy, 60, 540–549. https://doi.org/10.1016/j.enpol.2013.05.037
Xu, X., Xiao, B., & Li, C. Z. (2020). Critical factors of electricity consumption in residential buildings: An analysis from the point of occupant characteristics view. Journal of Cleaner Production, 256, 120423. https://doi.org/10.1016/j.jclepro.2020.120423
Ye, Y., Koch, S. F., & Zhang, J. (2018). Determinants of household electricity consumption in South Africa. Energy Economics, 75, 120–133. https://doi.org/10.1016/j.eneco.2018.08.005
Yee Yan, Y. (1998). Climate and residential electricity consumption in Hong Kong. Energy, 23(1), 17–20. https://doi.org/10.1016/S0360-5442(97)00053-4
Yohanis, Y. G., Mondol, J. D., Wright, A., & Norton, B. (2008). Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic electricity use. Energy and Buildings, 40(6), 1053–1059. https://doi.org/10.1016/j.enbuild.2007.09.001
Zhou, S., & Teng, F. (2013). Estimation of urban residential electricity demand in China using household survey data. Energy Policy, 61, 394–402. https://doi.org/10.1016/j.enpol.2013.06.092
Zou, B., & Luo, B. (2019). Rural household energy consumption characteristics and determinants in China. Energy, 182, 814–823. https://doi.org/10.1016/j.energy.2019.06.048
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Highlights
• Determinants of household electricity expenditure were analyzed using data from the Household Budget Survey, which is representative of Turkey.
• The quantile regression method, which allows to make predictions at different levels of the dependent variable, was used.
• It was determined that household electricity expenditure is related to demographic, economic and residential factors.
• Strategy developers for reducing electricity use were advised to focus on high electricity users and develop efficiency recommendations.
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Çebi Karaaslan, K., Kesriklioğlu, E. & Oktay, E. Determination of household electricity expenditures using quantile regression with Kennedy approach. Energy Efficiency 17, 25 (2024). https://doi.org/10.1007/s12053-024-10204-1
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DOI: https://doi.org/10.1007/s12053-024-10204-1