Open Access

ARTICLE

"Data Mining of Urban New Energy Vehicles in an Intelligent Government Subsidy Environment Using Closed-Loop Supply Chain Pricing Model"

Jing-Hua Zhao^1,†, Da-Lin Zeng^2,*, Ting-Wei Zhou^1,‡, Ze-Chao Zhu^1,§

1 School of Business, University of Shanghai for Science and Technology, Shanghai, China
2 School of Management Engineering, Shandong Jianzhu University, Jinan, China

* Corresponding Authors:
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‡
§

Computer Systems Science and Engineering 2020, 35(3), 151-172. https://doi.org/10.32604/csse.2020.35.151

Abstract

Given the government subsidies for new energy vehicles, this study is conducted to study the closed-loop supply chain comprising individual manufacturers, individual retailers and individual third-party recyclers. In this paper, combine the reality of new energy vehicles with the relevant research of game theory, and establish an no government subsidy model (Model N), a government subsidized consumer model (Model C), a government subsidized manufacturer model (Model M), a government subsidized third party recycler model (Model T), and a government subsidized retailer model (Model R) for quantitative research. Then, numerical examples are used to simulate the impact of government subsidies on closed-loop supply chain pricing and profits.

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Citations