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How do energy forms impact energy poverty? An analysis of European degrees of urbanisation

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  • Pereira, Diogo Santos
  • Marques, António Cardoso

Abstract

The access that households have to various forms of energy depends on their level of urbanisation, which leads to distinct preferences in the forms of energy they consume. Consequently, different forms of residential energy consumption should have different impacts on energy poverty, when analysed for each degree of urbanisation. Verifying this was the underlying motivation for this study. Thus, it investigates how forms of residential energy consumption (oil, wood/biomass, natural gas, and electricity) impact energy poverty in (a) cities; (b) towns and suburbs; and (c) rural areas. To do so, data from 2005 until 2018 for twelve European countries was analysed using three-panel data sets, one for each urbanisation degree. The results, estimated using Feasible Generalised Least Squares, indicated that, in sparsely populated areas (towns, suburbs, and rural areas), primary energy sources, such as wood/biomass and natural gas alleviate energy poverty. Conversely, in cities, residential electricity consumption has been the key form for decreasing both poverty and energy poverty. The results of this research highlight that energy forms have differing impacts on energy poverty in areas with different levels of urbanisation. Therefore, energy policies should be planned at a disaggregated regional level within countries, and not at a national or European level.

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  • Pereira, Diogo Santos & Marques, António Cardoso, 2023. "How do energy forms impact energy poverty? An analysis of European degrees of urbanisation," Energy Policy, Elsevier, vol. 173(C).
  • Handle: RePEc:eee:enepol:v:173:y:2023:i:c:s0301421522005651
    DOI: 10.1016/j.enpol.2022.113346
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    as
    1. Brunner, Karl-Michael & Spitzer, Markus & Christanell, Anja, 2012. "Experiencing fuel poverty. Coping strategies of low-income households in Vienna/Austria," Energy Policy, Elsevier, vol. 49(C), pages 53-59.
    2. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    3. Villalobos, Carlos & Chávez, Carlos & Uribe, Adolfo, 2021. "Energy poverty measures and the identification of the energy poor: A comparison between the utilitarian and capability-based approaches in Chile," Energy Policy, Elsevier, vol. 152(C).
    4. Glaeser, Edward L. & Kahn, Matthew E., 2010. "The greenness of cities: Carbon dioxide emissions and urban development," Journal of Urban Economics, Elsevier, vol. 67(3), pages 404-418, May.
    5. Setu Pelz & Shonali Pachauri & Sebastian Groh, 2018. "A critical review of modern approaches for multidimensional energy poverty measurement," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 7(6), November.
    6. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    7. Dominic J. Bednar & Tony G. Reames, 2020. "Recognition of and response to energy poverty in the United States," Nature Energy, Nature, vol. 5(6), pages 432-439, June.
    8. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    9. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    10. M. Hashem Pesaran & Aman Ullah & Takashi Yamagata, 2008. "A bias-adjusted LM test of error cross-section independence," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 105-127, March.
    11. Larson, William & Yezer, Anthony, 2015. "The energy implications of city size and density," Journal of Urban Economics, Elsevier, vol. 90(C), pages 35-49.
    12. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    13. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    14. Chong, Chin Hao & Tan, Wei Xin & Ting, Zhao Jia & Liu, Pei & Ma, Linwei & Li, Zheng & Ni, Weidou, 2019. "The driving factors of energy-related CO2 emission growth in Malaysia: The LMDI decomposition method based on energy allocation analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    15. Thonipara, Anita & Runst, Petrik & Ochsner, Christian & Bizer, Kilian, 2019. "Energy efficiency of residential buildings in the European Union – An exploratory analysis of cross-country consumption patterns," Energy Policy, Elsevier, vol. 129(C), pages 1156-1167.
    16. Christopher F Baum, 2001. "Residual diagnostics for cross-section time series regression models," Stata Journal, StataCorp LP, vol. 1(1), pages 101-104, November.
    17. Frees, Edward W., 1995. "Assessing cross-sectional correlation in panel data," Journal of Econometrics, Elsevier, vol. 69(2), pages 393-414, October.
    18. Hills, John, 2011. "Fuel poverty: the problem and its measurement," LSE Research Online Documents on Economics 39270, London School of Economics and Political Science, LSE Library.
    19. Wang, Qiang & Kwan, Mei-Po & Fan, Jie & Lin, Jian, 2021. "Racial disparities in energy poverty in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    20. Bienvenido-Huertas, David, 2021. "Do unemployment benefits and economic aids to pay electricity bills remove the energy poverty risk of Spanish family units during lockdown? A study of COVID-19-induced lockdown," Energy Policy, Elsevier, vol. 150(C).
    21. Moore, Richard, 2012. "Definitions of fuel poverty: Implications for policy," Energy Policy, Elsevier, vol. 49(C), pages 19-26.
    22. Karpinska, Lilia & Śmiech, Sławomir, 2020. "Conceptualising housing costs: The hidden face of energy poverty in Poland," Energy Policy, Elsevier, vol. 147(C).
    23. Koomson, Isaac & Danquah, Michael, 2021. "Financial inclusion and energy poverty: Empirical evidence from Ghana," Energy Economics, Elsevier, vol. 94(C).
    24. Deller, David & Turner, Glen & Waddams Price, Catherine, 2021. "Energy poverty indicators: Inconsistencies, implications and where next?," Energy Economics, Elsevier, vol. 103(C).
    25. Mahumane, Gilberto & Mulder, Peter, 2022. "Urbanization of energy poverty? The case of Mozambique," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    26. Abban, Abdul Rashid & Hasan, Mohammad Zahid, 2021. "Revisiting the determinants of renewable energy investment - New evidence from political and government ideology," Energy Policy, Elsevier, vol. 151(C).
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