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Investment in Energy Efficiency, Adoption of Renewable Energy and Household Behavior: Evidence from OECD Countries

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  • Prudence Dato

Abstract

There are possible synergies between the decision to invest in energy efficiency measures and to adopt renewable energy, in the sense that the former reduces energy demand so that the latter can further cut future greenhouse gas (GHG) emissions, and which has great potential in the residential sector. Much work has been done in the residential sector on demand for clean energy and on investment in energy efficiency, but to our knowledge there is no specific study that investigates the relationship between the two. This paper fills a gap in the literature, and first shows theoretically that there are relationships of substitution or complementarity between the two decisions depending on the threshold of the cross effect related to the environmental motivation of the consumer. Second, the paper empirically shows that the two decisions are positively interrelated due to unobserved characteristics that determine both decisions. Third, the paper provides differential impact of energy poverty, split incentive problem, dwelling characteristics, commitment and trust on the two decisions. Finally, the paper investigates household characteristics that significantly affect the joint adoption of energy efficient and renewable energy technologies. This contribution can serve to define incentive policies to advance the energy transition.

Suggested Citation

  • Prudence Dato, 2018. "Investment in Energy Efficiency, Adoption of Renewable Energy and Household Behavior: Evidence from OECD Countries," The Energy Journal, , vol. 39(3), pages 213-244, May.
    • Handle: RePEc:sae:enejou:v:39:y:2018:i:3:p:213-244
    DOI: 10.5547/01956574.39.3.pdat
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    References listed on IDEAS

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    1. Karen Turner, 2013. ""Rebound" Effects from Increased Energy Efficiency: A Time to Pause and Reflect," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    2. Ysé Serret & Zachary Brown, 2014. "Greening Household Behaviour: Overview of Results from Econometric Analysis and Policy Implications," OECD Environment Working Papers 79, OECD Publishing.
    3. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr, March.
    4. Gregory Poe & Jeremy Clark & Daniel Rondeau & William Schulze, 2002. "Provision Point Mechanisms and Field Validity Tests of Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(1), pages 105-131, September.
    5. Carlo Andrea Bollino, 2009. "The Willingness to Pay for Renewable Energy Sources: The Case of Italy with Socio-demographic Determinants," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 81-96.
    6. Cameron, Trudy Ann & Poe, Gregory L. & Ethier, Robert G. & Schulze, William D., 2002. "Alternative Non-market Value-Elicitation Methods: Are the Underlying Preferences the Same?," Journal of Environmental Economics and Management, Elsevier, vol. 44(3), pages 391-425, November.
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