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A new perspective on the U.S. energy efficiency: The political context

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  • Antunes, Jorge Junio Moreira
  • Neves, Juliana Campos
  • Elmor, Larissa Rosa Carneiro
  • Araujo, Michel Fontaine Reis De
  • Wanke, Peter Fernandes
  • Tan, Yong

Abstract

This paper offers a new perspective on the energy efficiency literature by bringing evidence of political contextual factors as the predictors of energy efficiency. Specifically, we posit that the Democrat administration is more energy-efficient considering the reduction of environmental impact, in contrast, the Republican administration is more efficient considering only financial expenditures leading to the production of economic growth. In addition, we predict that political administration tenure is negatively correlated with green energy efficiency and that political distancing moderates the relationship between political party administration and energy efficiency. This study sheds light on these matters by performing an efficiency analysis of fifty North American states through a bootstrap DEA non-parametric model, followed by Tobit regressions to evaluate our hypotheses concerning the effect of the contextual factors on the calculated efficiency scores.

Suggested Citation

  • Antunes, Jorge Junio Moreira & Neves, Juliana Campos & Elmor, Larissa Rosa Carneiro & Araujo, Michel Fontaine Reis De & Wanke, Peter Fernandes & Tan, Yong, 2023. "A new perspective on the U.S. energy efficiency: The political context," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
  • Handle: RePEc:eee:tefoso:v:186:y:2023:i:pa:s004016252200614x
    DOI: 10.1016/j.techfore.2022.122093
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    as
    1. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    2. Emrouznejad, Ali & Yang, Guo-liang, 2018. "A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 4-8.
    3. Charlier, Dorothée, 2015. "Energy efficiency investments in the context of split incentives among French households," Energy Policy, Elsevier, vol. 87(C), pages 465-479.
    4. Hunt Allcott & Michael Greenstone, 2012. "Is There an Energy Efficiency Gap?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 3-28, Winter.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. E G Gomes & M P E Lins, 2008. "Modelling undesirable outputs with zero sum gains data envelopment analysis models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 616-623, May.
    7. Halkos, George & Petrou, Kleoniki Natalia, 2019. "Treating undesirable outputs in DEA: A critical review," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 97-104.
    8. Matthias Staat, 2006. "Efficiency of hospitals in Germany: a DEA-bootstrap approach," Applied Economics, Taylor & Francis Journals, vol. 38(19), pages 2255-2263.
    9. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    10. Arkangel M Cordero & Stewart R Miller, 2019. "Political party tenure and MNE location choices," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(6), pages 973-997, August.
    11. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    12. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    13. Fernando Ferreira & Joseph Gyourko, 2009. "Do Political Parties Matter? Evidence from U.S. Cities," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 399-422.
    14. Mukherjee, Kankana, 2010. "Measuring energy efficiency in the context of an emerging economy: The case of indian manufacturing," European Journal of Operational Research, Elsevier, vol. 201(3), pages 933-941, March.
    15. Richels, Richard G. & Blanford, Geoffrey J., 2008. "The value of technological advance in decarbonizing the U.S. economy," Energy Economics, Elsevier, vol. 30(6), pages 2930-2946, November.
    16. Katharine Ricke & Laurent Drouet & Ken Caldeira & Massimo Tavoni, 2018. "Country-level social cost of carbon," Nature Climate Change, Nature, vol. 8(10), pages 895-900, October.
    17. Kenneth Gillingham & Richard G. Newell & Karen Palmer, 2009. "Energy Efficiency Economics and Policy," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 597-620, September.
    18. Abdollah Hadi-Vencheh & Peter Wanke & Ali Jamshidi, 2020. "What Does Cost Structure Have to Say about Thermal Plant Energy Efficiency? The Case from Angola," Energies, MDPI, vol. 13(9), pages 1-25, May.
    19. Zhu, Lin & Luo, Jian & Dong, Qingli & Zhao, Yang & Wang, Yunyue & Wang, Yong, 2021. "Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    20. Ewing, Bradley T. & Sari, Ramazan & Soytas, Ugur, 2007. "Disaggregate energy consumption and industrial output in the United States," Energy Policy, Elsevier, vol. 35(2), pages 1274-1281, February.
    21. Coley, Jonathan S. & Hess, David J., 2012. "Green energy laws and Republican legislators in the United States," Energy Policy, Elsevier, vol. 48(C), pages 576-583.
    22. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    23. Minhua Yang & Vikash Ramiah & Imad Moosa & Yu He, 2018. "Narcissism, political tenure, financial indicators and the effectiveness of environmental regulation," Applied Economics, Taylor & Francis Journals, vol. 50(21), pages 2325-2338, May.
    24. Nabavi-Pelesaraei, Ashkan & Azadi, Hossein & Van Passel, Steven & Saber, Zahra & Hosseini-Fashami, Fatemeh & Mostashari-Rad, Fatemeh & Ghasemi-Mobtaker, Hassan, 2021. "Prospects of solar systems in production chain of sunflower oil using cold press method with concentrating energy and life cycle assessment," Energy, Elsevier, vol. 223(C).
    25. Dixon, Robert K. & McGowan, Elizabeth & Onysko, Ganna & Scheer, Richard M., 2010. "US energy conservation and efficiency policies: Challenges and opportunities," Energy Policy, Elsevier, vol. 38(11), pages 6398-6408, November.
    26. Dorothée Charlier, 2015. "Energy-efficiency investments in the context of split incentives among French households," Post-Print hal-03062649, HAL.
    27. Wei, Max & Patadia, Shana & Kammen, Daniel M., 2010. "Putting renewables and energy efficiency to work: How many jobs can the clean energy industry generate in the US?," Energy Policy, Elsevier, vol. 38(2), pages 919-931, February.
    28. Khanali, Majid & Akram, Asadollah & Behzadi, Javad & Mostashari-Rad, Fatemeh & Saber, Zahra & Chau, Kwok-wing & Nabavi-Pelesaraei, Ashkan, 2021. "Multi-objective optimization of energy use and environmental emissions for walnut production using imperialist competitive algorithm," Applied Energy, Elsevier, vol. 284(C).
    29. Lazarus Adua & Brett Clark, 2021. "Politics and Corporate‐Sector Environmentally Significant Actions: The Effects of Political Partisanship on U.S. Utilities Energy Efficiency Policies," Review of Policy Research, Policy Studies Organization, vol. 38(1), pages 31-48, January.
    30. Sovacool, Benjamin K., 2009. "The cultural barriers to renewable energy and energy efficiency in the United States," Technology in Society, Elsevier, vol. 31(4), pages 365-373.
    31. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    32. Chandler, Jess, 2009. "Trendy solutions: Why do states adopt Sustainable Energy Portfolio Standards?," Energy Policy, Elsevier, vol. 37(8), pages 3274-3281, August.
    33. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
    34. Soytas, Ugur & Sari, Ramazan & Ewing, Bradley T., 2007. "Energy consumption, income, and carbon emissions in the United States," Ecological Economics, Elsevier, vol. 62(3-4), pages 482-489, May.
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    More about this item

    Keywords

    Energy efficiency; United States; DEA; Political context;
    All these keywords.

    JEL classification:

    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other

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