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Evaluating the Atkinson index of household energy consumption in China

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  • Du, Gang
  • Sun, Chuanwang
  • Fang, Zhongnan

Abstract

Improving equality and efficiency of household energy distribution is the primary concern of China’s policy makers in their effort to reform the energy pricing system. In this paper, we use Atkinson Index as an analytical tool to quantitatively and systematically evaluate the equality and efficiency of household energy distribution. The result shows that the Atkinson index of electricity expenditure is much smaller than that of transportation expenditure, which indicates that transportation expenditure responds better to income differences. Furthermore, a geographical distribution analysis indicates that households in Middle China suffer greater inequality in energy distribution than those in Eastern and Western China. In view of the oncoming energy pricing reform in China, we reevaluate the Atkinson index under the new pricing scenarios for electricity and petroleum products. Compared to the current household energy pricing mechanism, the simulated new policies generate more allocative efficiency of household energy and ensure more equality of energy consumption for low income households. On this account, we suggest that geographical differences and equality in energy distribution be duly addressed in reforming energy policies in China.

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  • Du, Gang & Sun, Chuanwang & Fang, Zhongnan, 2015. "Evaluating the Atkinson index of household energy consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1080-1087.
    • Handle: RePEc:eee:rensus:v:51:y:2015:i:c:p:1080-1087
    DOI: 10.1016/j.rser.2015.07.017
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    as
    1. Sun, Chuanwang & Zhu, Xiting, 2014. "Evaluating the public perceptions of nuclear power in China: Evidence from a contingent valuation survey," Energy Policy, Elsevier, vol. 69(C), pages 397-405.
    2. Fan, Ying & Liao, Hua & Wei, Yi-Ming, 2007. "Can market oriented economic reforms contribute to energy efficiency improvement? Evidence from China," Energy Policy, Elsevier, vol. 35(4), pages 2287-2295, April.
    3. Schlör, Holger & Fischer, Wolfgang & Hake, Jürgen-Friedrich, 2013. "Sustainable development, justice and the Atkinson index: Measuring the distributional effects of the German energy transition," Applied Energy, Elsevier, vol. 112(C), pages 1493-1499.
    4. Du, Limin & Mao, Jie & Shi, Jinchuan, 2009. "Assessing the impact of regulatory reforms on China's electricity generation industry," Energy Policy, Elsevier, vol. 37(2), pages 712-720, February.
    5. Lin, Boqiang & Jiang, Zhujun, 2011. "Estimates of energy subsidies in China and impact of energy subsidy reform," Energy Economics, Elsevier, vol. 33(2), pages 273-283, March.
    6. Cai, Jing & Jiang, Zhigang, 2008. "Changing of energy consumption patterns from rural households to urban households in China: An example from Shaanxi Province, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(6), pages 1667-1680, August.
    7. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    8. Hong, Li & Liang, Dong & Di, Wang, 2013. "Economic and environmental gains of China's fossil energy subsidies reform: A rebound effect case study with EIMO model," Energy Policy, Elsevier, vol. 54(C), pages 335-342.
    9. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    10. Cowell, F.A., 2000. "Measurement of inequality," Handbook of Income Distribution, in: A.B. Atkinson & F. Bourguignon (ed.), Handbook of Income Distribution, edition 1, volume 1, chapter 2, pages 87-166, Elsevier.
    11. Wang, Zhaohua & Zhang, Bin & Zhang, Yixiang, 2012. "Determinants of public acceptance of tiered electricity price reform in China: Evidence from four urban cities," Applied Energy, Elsevier, vol. 91(1), pages 235-244.
    12. Jiang, Zhujun & Tan, Jijun, 2013. "How the removal of energy subsidy affects general price in China: A study based on input–output model," Energy Policy, Elsevier, vol. 63(C), pages 599-606.
    13. Omer, Abdeen Mustafa, 2008. "Energy, environment and sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2265-2300, December.
    14. Peidong, Zhang & Yanli, Yang & jin, Shi & Yonghong, Zheng & Lisheng, Wang & Xinrong, Li, 2009. "Opportunities and challenges for renewable energy policy in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 439-449, February.
    15. Grubb, M. J., 1990. "Communication Energy efficiency and economic fallacies," Energy Policy, Elsevier, vol. 18(8), pages 783-785, October.
    16. Anupama Sen and Tooraj Jamasb, 2012. "Diversity in Unity: An Empirical Analysis of Electricity Deregulation in Indian States," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    17. Yuan, Chaoqing & Liu, Sifeng & Fang, Zhigeng & Wu, Junlong, 2009. "Research on the energy-saving effect of energy policies in China: 1982-2006," Energy Policy, Elsevier, vol. 37(7), pages 2475-2480, July.
    18. Li, Ke & Lin, Boqiang, 2015. "How does administrative pricing affect energy consumption and CO2 emissions in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 952-962.
    19. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    20. Lin, Boqiang & Liu, Xia, 2013. "Reform of refined oil product pricing mechanism and energy rebound effect for passenger transportation in China," Energy Policy, Elsevier, vol. 57(C), pages 329-337.
    21. Schlör, Holger & Fischer, Wolfgang & Hake, Jürgen-Friedrich, 2012. "Measuring social welfare, energy and inequality in Germany," Applied Energy, Elsevier, vol. 97(C), pages 135-142.
    22. Sun, Chuanwang & Lin, Boqiang, 2013. "Reforming residential electricity tariff in China: Block tariffs pricing approach," Energy Policy, Elsevier, vol. 60(C), pages 741-752.
    23. Lin, Boqiang & Liu, Xia, 2013. "Electricity tariff reform and rebound effect of residential electricity consumption in China," Energy, Elsevier, vol. 59(C), pages 240-247.
    24. Lin, Jiang, 2007. "Energy conservation investments: A comparison between China and the US," Energy Policy, Elsevier, vol. 35(2), pages 916-924, February.
    25. Kasparian, Jérôme, 2009. "Contribution of crude oil price to households' budget: The weight of indirect energy use," Energy Policy, Elsevier, vol. 37(1), pages 111-114, January.
    26. Du, Limin & He, Yanan & Yan, Jianye, 2013. "The effects of electricity reforms on productivity and efficiency of China's fossil-fired power plants: An empirical analysis," Energy Economics, Elsevier, vol. 40(C), pages 804-812.
    27. Martinsen, Dag & Krey, Volker & Markewitz, Peter, 2007. "Implications of high energy prices for energy system and emissions--The response from an energy model for Germany," Energy Policy, Elsevier, vol. 35(9), pages 4504-4515, September.
    28. Gyamfi, Samuel & Krumdieck, Susan & Urmee, Tania, 2013. "Residential peak electricity demand response—Highlights of some behavioural issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 71-77.
    29. Boonekamp, Piet G.M., 2007. "Price elasticities, policy measures and actual developments in household energy consumption - A bottom up analysis for the Netherlands," Energy Economics, Elsevier, vol. 29(2), pages 133-157, March.
    30. Nesbakken, Runa, 1999. "Price sensitivity of residential energy consumption in Norway," Energy Economics, Elsevier, vol. 21(6), pages 493-515, December.
    31. Kahrl, Fredrich & Williams, James H. & Hu, Junfeng, 2013. "The political economy of electricity dispatch reform in China," Energy Policy, Elsevier, vol. 53(C), pages 361-369.
    32. Lin, Jiang, 2007. "Corrigendum to: "Energy conservation investments: A comparison between China and the US": [Energy Policy 35 (2007) 916-924]," Energy Policy, Elsevier, vol. 35(8), pages 4401-4402, August.
    33. Liu, Wei & Li, Hong, 2011. "Improving energy consumption structure: A comprehensive assessment of fossil energy subsidies reform in China," Energy Policy, Elsevier, vol. 39(7), pages 4134-4143, July.
    34. Sinton, Jonathan E & Levine, Mark D & Qingyi, Wang, 1998. "Energy efficiency in China: accomplishments and challenges," Energy Policy, Elsevier, vol. 26(11), pages 813-829, September.
    35. Sen, Amartya, 1974. "Informational bases of alternative welfare approaches : Aggregation and income distribution," Journal of Public Economics, Elsevier, vol. 3(4), pages 387-403, November.
    36. Ma, Hengyun & Oxley, Les & Gibson, John, 2009. "China's energy situation in the new millennium," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1781-1799, October.
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