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Evaluation of energy saving effects of tiered electricity pricing and investigation of the energy saving willingness of residents

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  • Wu, Ya
  • Zhang, Li

Abstract

The effects of tiered electricity pricing (TEP) on the energy saving willingness of residents and household electricity consumption behaviour are qualitatively studied through a social investigation in Guangdong, China. Furthermore, an autoregressive integrated moving average model (ARIMA model) is constructed using monthly electricity consumption data of residents in Guangdong to quantify the effects of implementing a TEP policy on energy saving. Meanwhile, to explore the opportunities for improving the policy, this research uses an ordered probit model to study the factors influencing the energy saving willingness of residents based on explanatory variables, such as personal characteristics, living conditions, etc. The empirical results demonstrate that, after the implementation of TEP, energy saving awareness among women is higher than that among men. With increasing levels of educational attainment, or having a family, energy saving awareness gradually increases. In addition, there is a U-type relationship between age and energy saving awareness, while a reciprocal U-type is present between income and energy saving awareness. Meanwhile, the housing ownership type (self-occupation or rental) is also closely related to the energy saving awareness of residents. Finally, according to the above research results, suggestions are put forward to improve the TEP policy.

Suggested Citation

  • Wu, Ya & Zhang, Li, 2017. "Evaluation of energy saving effects of tiered electricity pricing and investigation of the energy saving willingness of residents," Energy Policy, Elsevier, vol. 109(C), pages 208-217.
  • Handle: RePEc:eee:enepol:v:109:y:2017:i:c:p:208-217
    DOI: 10.1016/j.enpol.2017.07.011
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    as
    1. Wang, Zhaohua & Zhang, Bin & Yin, Jianhua & Zhang, Yixiang, 2011. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China," Energy Policy, Elsevier, vol. 39(6), pages 3550-3557, June.
    2. Sun, Chuanwang & Lin, Boqiang, 2013. "Reforming residential electricity tariff in China: Block tariffs pricing approach," Energy Policy, Elsevier, vol. 60(C), pages 741-752.
    3. Sun, Chuanwang, 2015. "An empirical case study about the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 160(C), pages 383-389.
    4. 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 419-430, October.
    5. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    6. Herriges, Joseph A. & King, K.A., 1994. "Residential Demand for Electricity Under Block Rate Structures: Evidence from a Controlled Experiment," Staff General Research Papers Archive 1498, Iowa State University, Department of Economics.
    7. Georg Meran & Christian von Hirschhausen, 2009. "Increasing Block Tariffs in the Water Sector: A Semi-Welfarist Approach," Discussion Papers of DIW Berlin 902, DIW Berlin, German Institute for Economic Research.
    8. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413.
    9. James B. Bushnell & Erin T. Mansur, 2005. "Consumption Under Noisy Price Signals: A Study Of Electricity Retail Rate Deregulation In San Diego," Journal of Industrial Economics, Wiley Blackwell, vol. 53(4), pages 493-513, December.
    10. Brown,Stephen J. & Sibley,David Sumner, 1986. "The Theory of Public Utility Pricing," Cambridge Books, Cambridge University Press, number 9780521314008.
    11. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    12. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
    13. Jing Li & Ilan Vertinsky & Hua Zhang, 2013. "The Quality of Domestic Legal Institutions and Export Performance," Management International Review, Springer, vol. 53(3), pages 361-390, June.
    14. Swan, K. Scott & Allred, Brent B., 2009. "Does 'the China Option' influence subsidiary technology sourcing strategy?," Journal of International Management, Elsevier, vol. 15(2), pages 169-180, June.
    15. Kotabe, Masaaki & Jiang, Crystal Xiangwen & Murray, Janet Y., 2011. "Managerial ties, knowledge acquisition, realized absorptive capacity and new product market performance of emerging multinational companies: A case of China," Journal of World Business, Elsevier, vol. 46(2), pages 166-176, April.
    16. 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.
    17. 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.
    18. Allred, Brent B. & Park, Walter G., 2007. "The influence of patent protection on firm innovation investment in manufacturing industries," Journal of International Management, Elsevier, vol. 13(2), pages 91-109, June.
    19. Martin S. Feldstein, 1972. "Equity and Efficiency in Public Sector Pricing: The Optimal Two-Part Tariff," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 86(2), pages 175-187.
    20. Sun, Chuanwang & Ouyang, Xiaoling, 2016. "Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China," Energy Policy, Elsevier, vol. 88(C), pages 56-63.
    21. He, Y.X. & Yang, L.F. & He, H.Y. & Luo, T. & Wang, Y.J., 2011. "Electricity demand price elasticity in China based on computable general equilibrium model analysis," Energy, Elsevier, vol. 36(2), pages 1115-1123.
    22. Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, March.
    23. Zhao, Xiaoli & Lyon, Thomas P. & Song, Cui, 2012. "Lurching towards markets for power: China’s electricity policy 1985–2007," Applied Energy, Elsevier, vol. 94(C), pages 148-155.
    24. Yu, Yihua & Guo, Jin, 2016. "Identifying electricity-saving potential in rural China: Empirical evidence from a household survey," Energy Policy, Elsevier, vol. 94(C), pages 1-9.
    25. 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.
    26. Rodney Maddock & Elkin Castano, 1991. "The Welfare Impact of Rising Block Pricing: Electricity in Colombia," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 65-78.
    27. Du, Gang & Lin, Wei & Sun, Chuanwang & Zhang, Dingzhong, 2015. "Residential electricity consumption after the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 157(C), pages 276-283.
    28. Peter C. Reiss & Matthew W. White, 2008. "What changes energy consumption? Prices and public pressures," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 636-663, September.
    29. Cragg, John G. & Donald, Stephen G., 1993. "Testing Identifiability and Specification in Instrumental Variable Models," Econometric Theory, Cambridge University Press, vol. 9(2), pages 222-240, April.
    30. Qiaoyuan Lin & Marian Rizov & Marie Wong, 2014. "Residential Electricity Pricing in China," Chinese Economy, Taylor & Francis Journals, vol. 47(2), pages 41-74, March.
    31. Zhang, Zhaoguo & Jin, Xiaocui & Yang, Qingxiang & Zhang, Yi, 2013. "An empirical study on the institutional factors of energy conservation and emissions reduction: Evidence from listed companies in China," Energy Policy, Elsevier, vol. 57(C), pages 36-42.
    32. Ram Mudambi & Shaker A Zahra, 2007. "The survival of international new ventures," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(2), pages 333-352, March.
    33. Sen, Parag & Roy, Mousumi & Pal, Parimal, 2016. "Application of ARIMA for forecasting energy consumption and GHG emission: A case study of an Indian pig iron manufacturing organization," Energy, Elsevier, vol. 116(P1), pages 1031-1038.
    34. Erdogdu, Erkan, 2007. "Electricity demand analysis using cointegration and ARIMA modelling: A case study of Turkey," Energy Policy, Elsevier, vol. 35(2), pages 1129-1146, February.
    35. Khanna, Nina Zheng & Guo, Jin & Zheng, Xinye, 2016. "Effects of demand side management on Chinese household electricity consumption: Empirical findings from Chinese household survey," Energy Policy, Elsevier, vol. 95(C), pages 113-125.
    36. Wang, Qiang & Chen, Xi, 2012. "China's electricity market-oriented reform: From an absolute to a relative monopoly," Energy Policy, Elsevier, vol. 51(C), pages 143-148.
    37. Xue, Jinjun & Gao, Wenshu & Guo, Lin, 2014. "Informal employment and its effect on the income distribution in urban China," China Economic Review, Elsevier, vol. 31(C), pages 84-93.
    38. Chengqi Wang & Jeremy Clegg & Mario Kafouros, 2009. "Country-of-Origin Effects of Foreign Direct Investment," Management International Review, Springer, vol. 49(2), pages 179-198, April.
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