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The Redistributional Impact of Non-linear Electricity Pricing

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  • Severin Borenstein

Abstract

Utility regulators frequently focus as much or more on the distributional impact of electric rate structures as on their efficiency. The goal of protecting low-income consumers has become more central with recent increases in wholesale power costs and anticipation of significant costs of greenhouse gas emissions in the near future. These concerns have led to the widespread use of increasing-block pricing (IBP), under which the marginal price to the household increases as its daily or monthly usage rises. There is no cost basis for differentiating marginal price of electricity by consumption level, so perhaps nowhere is the conflict between efficiency and distributional goals greater than in the use of IBP. California has adopted some of the most steeply increasing-block tariffs in electric utility history. Combining household-level utility billing data with census data on income distribution by area, I derive estimates of the income redistribution effected by these increasing-block electricity tariffs. I find that the rate structure does redistribute income to lower-income groups, cutting the bills of households in the lowest income bracket by about 12% (about $5 per month). The effect would be about twice as large if not for the presence of another program that offers a different and lower rate structure to qualified low-income households. I find that the deadweight loss associated with IBP is likely to be large relative to the transfers. In contrast, I find that the means-tested program transfers income with much less economic inefficiency. A much larger share of the revenue redistributed by the IBP tariff, however, comes from the wealthiest quintile of households, so IBP may be a more progressive structure of redistribution. In carrying out the analysis, I also show that a common approach to studying (or controlling for) income distribution effects by using median household income within a census block group may substantially understate the potential effects.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 15822.

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Date of creation: Mar 2010
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Publication status: published as Severin Borenstein, 2012. "The Redistributional Impact of Nonlinear Electricity Pricing," American Economic Journal: Economic Policy, American Economic Association, vol. 4(3), pages 56-90, August.
Handle: RePEc:nbr:nberwo:15822

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  1. Herriges, Joseph A & King, Kathleen Kuester, 1994. "Residential Demand for Electricity under Inverted Block Rates: Evidence from a Controlled Experiment," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 419-30, October.
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  7. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-63, February.
  8. Baum-Snow, Nathaniel & Marion, Justin, 2009. "The effects of low income housing tax credit developments on neighborhoods," Journal of Public Economics, Elsevier, vol. 93(5-6), pages 654-666, June.
  9. Wodon, Quentin & Ajwad, Mohamed Ishan & Siaens, Corinne, 2003. "Lifeline or Means-Testing? Electric Utility Subsidies in Honduras," MPRA Paper 15419, University Library of Munich, Germany.
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Cited by:
  1. S. Borenstein, 2013. "Effective and Equitable Adoption of Opt-In Residential Dynamic Electricity Pricing," Review of Industrial Organization, Springer, vol. 42(2), pages 127-160, March.
  2. Eugenio J. Miravete & Katja Seim & Jeff Thurk, 2014. "Complexity, Efficiency, and Fairness of Multi-Product Monopoly Pricing," CESifo Working Paper Series 4692, CESifo Group Munich.
  3. Severin Borenstein & Lucas W. Davis, 2010. "The Equity and Efficiency of Two-Part Tariffs in U.S. Natural Gas Markets," NBER Working Papers 16653, National Bureau of Economic Research, Inc.
  4. Farrell, Niall & Lyons, Seán, 2014. "The distributional impact of the Irish public service obligation levy on electricity consumption," MPRA Paper 53488, University Library of Munich, Germany.

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