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Cost-effective subsidy incentives for room air conditioners in China: An analysis based on a McFadden-type discrete choice model

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  • Guo, Fei
  • Pachauri, Shonali
  • Cofala, Janusz

Abstract

Based on a McFadden-type conditional logit (CL) discrete choice model, this paper estimates the most economic subsidy level (MESL) for room air conditioners (RACs) in China that minimizes the net cost of subsidy per unit of electricity saved. The analysis reveals that, given the current price and efficiency spectrum of RACs in the Chinese market as well as the electricity price and cooling demand of Chinese households, the MESL for RACs in China should be around 60%, which is much higher than the current subsidy level of 5–15%. A sensitivity analysis suggests that the high MESL (60%) is mainly a consequence of relatively low electricity price and household cooling demand in the country. If China's household cooling demand increases further and its electricity price were to rise to a higher level, the MESL for RACs could possibly drop to about 5–15%. As household cooling demand varies among Chinese cities in different climatic zones and at different levels of economic development, the RAC subsidy incentives should be region-specific. With necessary modifications, the method for analysis proposed in this paper can also be applied to other household appliances to prioritize the types of appliances requiring subsidies.

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  • Guo, Fei & Pachauri, Shonali & Cofala, Janusz, 2017. "Cost-effective subsidy incentives for room air conditioners in China: An analysis based on a McFadden-type discrete choice model," Energy Policy, Elsevier, vol. 110(C), pages 375-385.
    • Handle: RePEc:eee:enepol:v:110:y:2017:i:c:p:375-385
    DOI: 10.1016/j.enpol.2017.08.039
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    as
    1. Galarraga, Ibon & Abadie, Luis M. & Ansuategi, Alberto, 2013. "Efficiency, effectiveness and implementation feasibility of energy efficiency rebates: The “Renove” plan in Spain," Energy Economics, Elsevier, vol. 40(S1), pages 98-107.
    2. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
    3. Wang, Zhaohua & Wang, Xiaomeng & Guo, Dongxue, 2017. "Policy implications of the purchasing intentions towards energy-efficient appliances among China’s urban residents: Do subsidies work?," Energy Policy, Elsevier, vol. 102(C), pages 430-439.
    4. Sun, Junxiu & Yin, Haitao & Wang, Feng, 2014. "Net private benefits of purchasing eco-labeled air conditioners and subsidization policies in China," Energy Policy, Elsevier, vol. 73(C), pages 186-195.
    5. Glenn W. Harrison & Morten I. Lau & Melonie B. Williams, 2002. "Estimating Individual Discount Rates in Denmark: A Field Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1606-1617, December.
    6. 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.
    7. Min, Jihoon & Azevedo, Inês L. & Michalek, Jeremy & de Bruin, Wändi Bruine, 2014. "Labeling energy cost on light bulbs lowers implicit discount rates," Ecological Economics, Elsevier, vol. 97(C), pages 42-50.
    8. 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.
    9. Calvin, Katherine & Fawcett, Allen & Kejun, Jiang, 2012. "Comparing model results to national climate policy goals: Results from the Asia modeling exercise," Energy Economics, Elsevier, vol. 34(S3), pages 306-315.
    10. Ouyang, Jinlong & Long, Enshen & Hokao, Kazunori, 2010. "Rebound effect in Chinese household energy efficiency and solution for mitigating it," Energy, Elsevier, vol. 35(12), pages 5269-5276.
    11. Ma, Ben & Song, Guojun & Smardon, Richard C. & Chen, Jing, 2014. "Diffusion of solar water heaters in regional China: Economic feasibility and policy effectiveness evaluation," Energy Policy, Elsevier, vol. 72(C), pages 23-34.
    12. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    13. Zhao, Tingting & Bell, Lindsey & Horner, Mark W. & Sulik, John & Zhang, Jinfeng, 2012. "Consumer responses towards home energy financial incentives: A survey-based study," Energy Policy, Elsevier, vol. 47(C), pages 291-297.
    14. Watanabe, Mariko & Kojima, Michikazu, 2016. "Energy efficiency standard and labeling program and consumer welfare : a case of the air conditioner market in China," IDE Discussion Papers 602, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    15. Dreyfus, Mark K & Viscusi, W Kip, 1995. "Rates of Time Preference and Consumer Valuations of Automobile Safety and Fuel Efficiency," Journal of Law and Economics, University of Chicago Press, vol. 38(1), pages 79-105, April.
    16. Jerry A. Hausman, 1979. "Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 33-54, Spring.
    17. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    18. Bruderer Enzler, Heidi & Diekmann, Andreas & Meyer, Reto, 2014. "Subjective discount rates in the general population and their predictive power for energy saving behavior," Energy Policy, Elsevier, vol. 65(C), pages 524-540.
    19. Sun, Dingqiang & Bai, Junfei & Qiu, Huanguang & Cai, Yaqing, 2014. "Impact of government subsidies on household biogas use in rural China," Energy Policy, Elsevier, vol. 73(C), pages 748-756.
    20. de la Rue du Can, Stephane & Leventis, Greg & Phadke, Amol & Gopal, Anand, 2014. "Design of incentive programs for accelerating penetration of energy-efficient appliances," Energy Policy, Elsevier, vol. 72(C), pages 56-66.
    21. Henry Ruderman & Mark D. Levine & James E. McMahon, 1987. "The Behavior of the Market for Energy Efficiency in Residential Appliances Including Heating and Cooling Equipment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 101-124.
    22. Mau, Paulus & Eyzaguirre, Jimena & Jaccard, Mark & Collins-Dodd, Colleen & Tiedemann, Kenneth, 2008. "The 'neighbor effect': Simulating dynamics in consumer preferences for new vehicle technologies," Ecological Economics, Elsevier, vol. 68(1-2), pages 504-516, December.
    23. Calvin, Katherine & Clarke, Leon & Krey, Volker & Blanford, Geoffrey & Jiang, Kejun & Kainuma, Mikiko & Kriegler, Elmar & Luderer, Gunnar & Shukla, P.R., 2012. "The role of Asia in mitigating climate change: Results from the Asia modeling exercise," Energy Economics, Elsevier, vol. 34(S3), pages 251-260.
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