Optimal Supply of New Energy Vehicles With Subsidizing Under Demand Uncertainty

Jianjun YU, Xing WANG, Xing WANG

Abstract


For increasing the production of new energy vehicles, government’s subsidy policy was implemented in the early stage of its development. This paper considers consumer subsidies and manufacturer subsidies, and modeling to compare the manufacturer’s optimal production and profit of two subsidy mechanisms under certainty and uncertainty demand. Research shows manufacturer’s supply and profit are the same under two subsidies with certain demands; we also show that the production supply is not always decreased with the increase of demands’ uncertain, and compare to manufacturer subsidies, consumer subsidies is more benefit the production of new energy vehicles for government.


Keywords


New energy vehicle; Consumer subsidies; Manufacturer subsidies; Demand uncertainty

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References


Alizamir, S., de Vericourt, F., & Peng, S. (2013). Efficient feed-in-tariff policies for renewable energy technologies. Working Paper.

Cheng, G. Y. (2010). Analysis and enlightment of foreign new energy automobile industry policy. China Venture Capital, (5), 33-35.

Gallagher, K. S., & Muehlegger, E. (2011). Giving green to get green incentives and consumer adoption of hybrid vehicle technology. Journal of Environmental Economics and Management, 61(1), 1-15.

Lobel, R., & Perakis, G. (2013). Consumer choice model for forecasting demand and designing incentives for solar technology. Working Paper.

Ovchinnikov, A., & Raz, G. ( 2013). A newsvendor model with pricing for public interest goods. Working Paper.

Sierzchula, W., Bakker, S., Maat, K., & van Wee, B. (2014). The influence of financial incentives and other socio-economic factors on electric vehicle adoption. Energy Policy, 68, 183-194.

Sun, X. H., Liu, K., & Zuo, Z. (2011). Strategic study on framework of electric vehicle subsidy policies. Science-Technology and Management, (6), 99-103.

Wang, H. X., & Miao, X. M. (2013). A research on R&D subsidies for new energy vehicles based on game theory. Soft Science, 27(6), 29-32.

Xiao, T. Q. (2014). A research on subsidy object for new energy vehicles based on Stackelberg game theory. Marketing Research, (8), 21-23.

Yang, J. (2012). The empirical research on consumer willingness to buy electric cars—based on government industrial policy. Special Zone Economy, (2), 302-304.

Zhang, X. L., & Wang, J. J. (2015). Research on new energy vehicles supply chain government subsidies based on shapley value algorithm. Soft Science, 29(9), 54-58.

Zhang, H. B., Sheng, Z. H., & Meng, Q. F. (2015). The government subsidies mechanism for market development of new energy vehicles. Journal of Management Science, 28(6), 122-132.

Zhou, L. (2010). Research on the government subsidy method and object of appliances to the countryside. University of Electronic Science and Technology of China.




DOI: http://dx.doi.org/10.3968/n

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