Lin, B., Jiang, Z, 2012. Designation and influence of household increasing block electricity tariffs in China. Energy Policy 42, pp. 164–173: How biased is the measurement of household’s loss?
The three-tier inclining block tariff (‘‘IBT’’) issued by the Chinese government in 2010 is focusing attention of energy economists, among whom Lin and Jiang (2012. Designation and influence of household increasing block electricity tariffs in China. Energy Policy 42, 164–173) who assert that the issued tariff is unsuited to meet the social and environmental objectives it was designed for. These authors offer an alternative four-tiered IBT, the performance of which they show by evaluating its welfare and income distribution effects taking the current uniform tariff as reference. To measure the surplus loss to a representative household in a given block the authors use the trapezoid approach. But, because of the limited data on demand, they calculate the household’s response by using a constant point estimate of the own-price elasticity of electricity demand. In this note I show there is an incompatibility between these two modeling assumptions. Combining them is causing an upward bias in the surplus loss, which is of significance given the large price change associated with the IBT. I then offer a correction to this bias.
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- Andres Vazquez, 1998. "An alternative definition of the arc elasticity of demand," Journal of Economic Studies, Emerald Group Publishing, vol. 25(6), pages 553-562, October.
- Wang, Zhaohua & Zhang, Bin & Zhang, Yixiang, 2012.
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Elsevier, vol. 91(1), pages 235-244.
- Zhaohua Wang & Bin Zhang & Yixiang Zhang, 2011. "Determinants of public acceptance of tiered electricity price reform in China: Evidence from four urban cities," CEEP-BIT Working Papers 14, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Lin, Boqiang & Jiang, Zhujun, 2012. "Designation and influence of household increasing block electricity tariffs in China," Energy Policy, Elsevier, vol. 42(C), pages 164-173.
- Arjan Ruijs, 2009. "Welfare and Distribution Effects of Water Pricing Policies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(2), pages 161-182, June.
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