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Deconstructing the Rosenfeld curve: Making sense of California's low electricity intensity

  • Sudarshan, Anant
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    Regulatory regimes that have increased household energy efficiency are of widespread interest to policymakers today. A prominent example is the state of California where electricity intensities in the residential sector have stayed near constant since the 1970s in sharp contrast to nationwide trends in the United States. A structural model of residential energy consumption is used to show that the use of energy intensities alone to evaluate the success of California efficiency programs is misleading and glosses over important policy independent factors. We quantify important effects of price, climate conditions and demographic characteristics on energy consumption in California. We also provide evidence of split incentive considerations in residential energy consumption patterns. We conclude that while state policy may have had some effect on efficiency, caution needs to be exercised in using the California example to inform expectations from similar measures in other regions.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0140988313000881
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    Article provided by Elsevier in its journal Energy Economics.

    Volume (Year): 39 (2013)
    Issue (Month): C ()
    Pages: 197-207

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    Handle: RePEc:eee:eneeco:v:39:y:2013:i:c:p:197-207
    Contact details of provider: Web page: http://www.elsevier.com/locate/eneco

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    1. Peter C. Reiss & Matthew W. White, 2005. "Household Electricity Demand, Revisited," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 853-883.
    2. Arimura, Toshi H. & Newell, Richard G. & Palmer, Karen, 2009. "Cost-Effectiveness of Electricity Energy Efficiency Programs," Discussion Papers dp-09-48, Resources For the Future.
    3. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-62, March.
    4. Espey, James A. & Espey, Molly, 2004. "Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(01), April.
    5. Maximilian Auffhammer & Carl Blumstein & Meredith Fowlie, 2008. "Demand-Side Management and Energy Efficiency Revisited," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 91-104.
    6. Shin, Jeong-Shik, 1985. "Perception of Price When Price Information Is Costly: Evidence from Residential Electricity Demand," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 591-98, November.
    7. Michael Parti & Cynthia Parti, 1980. "The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 309-321, Spring.
    8. Allenby, Greg M. & Rossi, Peter E., 1998. "Marketing models of consumer heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 57-78, November.
    9. Sridhar Narayanan & Pradeep Chintagunta & Eugenio Miravete, 2007. "The role of self selection, usage uncertainty and learning in the demand for local telephone service," Quantitative Marketing and Economics, Springer, vol. 5(1), pages 1-34, March.
    10. Dora L. Costa & Matthew E. Kahn, 2010. "Why Has California's Residential Electricity Consumption Been So Flat since the 1980s?: A Microeconometric Approach," NBER Working Papers 15978, National Bureau of Economic Research, Inc.
    11. Sha Yang & Yuxin Chen & Greg Allenby, 2003. "Bayesian Analysis of Simultaneous Demand and Supply," Quantitative Marketing and Economics, Springer, vol. 1(3), pages 251-275, September.
    12. Kenneth Train & Gil Mehrez, 1994. "Optional Time-of-Use Prices for Electricity: Econometric Analysis of Surplus and Pareto Impacts," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 263-283, Summer.
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