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Measuring preferences for energy efficiency in ACI and EU nations and uncovering their impacts on energy conservation

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  • Chen, Hong
  • Gangopadhyay, Partha
  • Singh, Baljeet
  • Shankar, Sriram

Abstract

Energy efficiency, commonly interpreted as the ratio of output of performance, service, goods or energy, to input of energy, is of critical importance for reducing dependence on oil, controlling greenhouse gas emissions from fossil-fuel combustion and mitigating environmental damages in order to achieve a sustainable global energy system. In this paper, for the first time to the best of our understanding, we measure the (hidden) preferences for energy efficiency and capture their impacts on energy conservation in a panel of ASEAN countries, China and India (in short, the ACI nations) from 1985 to 2020. We apply the state-space models to estimate country-specific preferences for energy efficiency as a latent variable and then explore their impacts on the demand for renewable energy using an efficient generalised method of moments (GMM) estimator for the panel of chosen countries. We find strong evidence that intensities of preferences for energy efficiency increase the demand for renewable energy in ACI nations. In an extension of our study, we replicate our analysis for leading European Union (EU) nations using clean energy to arrive at interesting comparative insights. We gain further insights into the understanding of how structural breaks can influence the impacts of preferences for energy efficiency on the demand for renewables for ACI nations.

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  • Chen, Hong & Gangopadhyay, Partha & Singh, Baljeet & Shankar, Sriram, 2022. "Measuring preferences for energy efficiency in ACI and EU nations and uncovering their impacts on energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    • Handle: RePEc:eee:rensus:v:156:y:2022:i:c:s1364032121012090
    DOI: 10.1016/j.rser.2021.111944
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    as
    1. Narayan, Paresh Kumar & Liu, Ruipeng & Westerlund, Joakim, 2016. "A GARCH model for testing market efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 121-138.
    2. Brown, Marilyn A., 2001. "Market failures and barriers as a basis for clean energy policies," Energy Policy, Elsevier, vol. 29(14), pages 1197-1207, November.
    3. Matthew Kotchen & Michael Moore, 2008. "Conservation: From Voluntary Restraint to a Voluntary Price Premium," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(2), pages 195-215, June.
    4. Muhammad Shahbaz & Smile Dube & Ilhan Ozturk & Abdul Jalil, 2015. "Testing the Environmental Kuznets Curve Hypothesis in Portugal," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 475-481.
    5. Shuddhasattwa Rafiq & Ruhul A. Salim, 2009. "Temporal Causality between Energy Consumption and Income in Six Asian Emerging Countries," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(4), pages 335-350.
    6. Chen, Anping & Groenewold, Nicolaas, 2015. "Emission reduction policy: A regional economic analysis for China," Economic Modelling, Elsevier, vol. 51(C), pages 136-152.
    7. Dong, Yan & Whalley, John, 2011. "Carbon motivated regional trade arrangements: Analytics and simulations," Economic Modelling, Elsevier, vol. 28(6), pages 2783-2792.
    8. Shahbaz, Muhammad & Zeshan, Muhammad & Afza, Talat, 2012. "Is energy consumption effective to spur economic growth in Pakistan? New evidence from bounds test to level relationships and Granger causality tests," Economic Modelling, Elsevier, vol. 29(6), pages 2310-2319.
    9. Smyth, Russell & Narayan, Paresh Kumar, 2015. "Applied econometrics and implications for energy economics research," Energy Economics, Elsevier, vol. 50(C), pages 351-358.
    10. Dora L. Costa & Matthew E. Kahn, 2013. "Energy Conservation “Nudges” And Environmentalist Ideology: Evidence From A Randomized Residential Electricity Field Experiment," Journal of the European Economic Association, European Economic Association, vol. 11(3), pages 680-702, June.
    11. Adam B. Jaffe & Karen Palmer, 1997. "Environmental Regulation And Innovation: A Panel Data Study," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 610-619, November.
    12. Marques, António C. & Fuinhas, José A. & Pires Manso, J.R., 2010. "Motivations driving renewable energy in European countries: A panel data approach," Energy Policy, Elsevier, vol. 38(11), pages 6877-6885, November.
    13. Narayan, Paresh Kumar & Prasad, Arti, 2008. "Electricity consumption-real GDP causality nexus: Evidence from a bootstrapped causality test for 30 OECD countries," Energy Policy, Elsevier, vol. 36(2), pages 910-918, February.
    14. Stamford da Silva, Alexandre, 2008. "Growth with exhaustible resource and endogenous extraction rate," Economic Modelling, Elsevier, vol. 25(6), pages 1165-1174, November.
    15. Ang, B.W., 2006. "Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index," Energy Policy, Elsevier, vol. 34(5), pages 574-582, March.
    16. Salim, Ruhul A. & Shafiei, Sahar, 2014. "Urbanization and renewable and non-renewable energy consumption in OECD countries: An empirical analysis," Economic Modelling, Elsevier, vol. 38(C), pages 581-591.
    17. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    18. Apergis, Nicholas & Payne, James E., 2010. "Coal consumption and economic growth: Evidence from a panel of OECD countries," Energy Policy, Elsevier, vol. 38(3), pages 1353-1359, March.
    19. Sovacool, Benjamin K. & Griffiths, Steve, 2020. "The cultural barriers to a low-carbon future: A review of six mobility and energy transitions across 28 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    20. Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "CO2 emissions, nuclear energy, renewable energy and economic growth in the US," Energy Policy, Elsevier, vol. 38(6), pages 2911-2915, June.
    21. Richmond, Amy K. & Kaufmann, Robert K., 2006. "Is there a turning point in the relationship between income and energy use and/or carbon emissions?," Ecological Economics, Elsevier, vol. 56(2), pages 176-189, February.
    22. Halkos, George E. & Gkampoura, Eleni-Christina, 2021. "Evaluating the effect of economic crisis on energy poverty in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    23. Briley, Donnel A & Morris, Michael W & Simonson, Itamar, 2000. "Reasons as Carriers of Culture: Dynamic versus Dispositional Models of Cultural Influence on Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 157-178, September.
    24. Garrett-Peltier, Heidi, 2017. "Green versus brown: Comparing the employment impacts of energy efficiency, renewable energy, and fossil fuels using an input-output model," Economic Modelling, Elsevier, vol. 61(C), pages 439-447.
    25. Richard G. Newell & Adam B. Jaffe & Robert N. Stavins, 1999. "The Induced Innovation Hypothesis and Energy-Saving Technological Change," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 941-975.
    26. Paresh Kumar Narayan & Stephan Popp, 2013. "Size and power properties of structural break unit root tests," Applied Economics, Taylor & Francis Journals, vol. 45(6), pages 721-728, February.
    27. Zha, Donglan & Ding, Ning, 2014. "Elasticities of substitution between energy and non-energy inputs in China power sector," Economic Modelling, Elsevier, vol. 38(C), pages 564-571.
    28. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    29. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178, Decembrie.
    30. Stern, David I., 2012. "Modeling international trends in energy efficiency," Energy Economics, Elsevier, vol. 34(6), pages 2200-2208.
    31. repec:dau:papers:123456789/6970 is not listed on IDEAS
    32. Balarama, Hemawathy & Islam, Asad & Kim, Jun Sung & Wang, Liang Choon, 2020. "Price elasticities of residential electricity demand: Estimates from household panel data in Bangladesh," Energy Economics, Elsevier, vol. 92(C).
    33. Stephenson, Janet & Barton, Barry & Carrington, Gerry & Gnoth, Daniel & Lawson, Rob & Thorsnes, Paul, 2010. "Energy cultures: A framework for understanding energy behaviours," Energy Policy, Elsevier, vol. 38(10), pages 6120-6129, October.
    34. Apergis, Nicholas & Payne, James E., 2010. "Renewable energy consumption and economic growth: Evidence from a panel of OECD countries," Energy Policy, Elsevier, vol. 38(1), pages 656-660, January.
    35. Sadorsky, Perry, 2009. "Renewable energy consumption, CO2 emissions and oil prices in the G7 countries," Energy Economics, Elsevier, vol. 31(3), pages 456-462, May.
    36. Paresh Kumar Narayan & Stephan Popp, 2010. "A new unit root test with two structural breaks in level and slope at unknown time," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(9), pages 1425-1438.
    37. Morris, Michael W. & Simonson, Itamar & Briley, Donnel A., 2000. "Reasons as Carriers of Culture: Dynamic vs. Dispositional Models of Cultural Influence on Decision Making," Research Papers 1607, Stanford University, Graduate School of Business.
    38. Greene, David L., 2011. "Uncertainty, loss aversion, and markets for energy efficiency," Energy Economics, Elsevier, vol. 33(4), pages 608-616, July.
    39. Gilbert E. Metcalf, 2008. "An Empirical Analysis of Energy Intensity and Its Determinants at the State Level," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-26.
    40. Gulagi, Ashish & Alcanzare, Myron & Bogdanov, Dmitrii & Esparcia, Eugene & Ocon, Joey & Breyer, Christian, 2021. "Transition pathway towards 100% renewable energy across the sectors of power, heat, transport, and desalination for the Philippines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    41. Apergis, Nicholas & Payne, James E., 2011. "The renewable energy consumption-growth nexus in Central America," Applied Energy, Elsevier, vol. 88(1), pages 343-347, January.
    42. Alan R. Sweezy, 1934. "The Interpretation of Subjective Value Theory in the Writings of the Austrian Economists," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 1(3), pages 176-185.
    43. Arning, K. & Offermann-van Heek, J. & Ziefle, M., 2021. "What drives public acceptance of sustainable CO2-derived building materials? A conjoint-analysis of eco-benefits vs. health concerns," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    44. Berndt, Ernst R & Wood, David O, 1975. "Technology, Prices, and the Derived Demand for Energy," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 259-268, August.
    45. Maltby, Tomas, 2013. "European Union energy policy integration: A case of European Commission policy entrepreneurship and increasing supranationalism," Energy Policy, Elsevier, vol. 55(C), pages 435-444.
    46. Harvey, Andrew C & Koopman, Siem Jan, 1992. "Diagnostic Checking of Unobserved-Components Time Series Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 377-389, October.
    47. Alberini, Anna & Bigano, Andrea & Ščasný, Milan & Zvěřinová, Iva, 2018. "Preferences for Energy Efficiency vs. Renewables: What Is the Willingness to Pay to Reduce CO2 Emissions?," Ecological Economics, Elsevier, vol. 144(C), pages 171-185.
    48. Sue Wing, Ian, 2008. "Explaining the declining energy intensity of the U.S. economy," Resource and Energy Economics, Elsevier, vol. 30(1), pages 21-49, January.
    49. Narayan, Paresh Kumar & Narayan, Seema & Prasad, Arti, 2008. "A structural VAR analysis of electricity consumption and real GDP: Evidence from the G7 countries," Energy Policy, Elsevier, vol. 36(7), pages 2765-2769, July.
    50. Pollack, Mark A., 1997. "Delegation, agency, and agenda setting in the European Community," International Organization, Cambridge University Press, vol. 51(1), pages 99-134, January.
    51. Apergis, Nicholas & Gangopadhyay, Partha, 2020. "The asymmetric relationships between pollution, energy use and oil prices in Vietnam: Some behavioural implications for energy policy-making," Energy Policy, Elsevier, vol. 140(C).
    52. Noblet, Caroline L. & Teisl, Mario F. & Evans, Keith & Anderson, Mark W. & McCoy, Shannon & Cervone, Edmund, 2015. "Public preferences for investments in renewable energy production and energy efficiency," Energy Policy, Elsevier, vol. 87(C), pages 177-186.
    53. Apergis, Nicholas & Payne, James E. & Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth," Ecological Economics, Elsevier, vol. 69(11), pages 2255-2260, September.
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    1. Das, Narasingha & Gangopadhyay, Partha & Alghamdi, Thamer & Sarwar, Suleman & Haseeb, Mohammad & Barut, Abdulkadir & Dey, Labani, 2023. "Understanding the role of efficiency in the electricity generation process for promoting human development in India: Findings from the novel multiple threshold nonlinear ARDL modelling," Utilities Policy, Elsevier, vol. 82(C).

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    More about this item

    Keywords

    Preferences for energy efficiency; Renewable energy; Demand for renewable energy; Energy efficiency;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation

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