@Article{csse.2020.35.151,
AUTHOR = {Jing-Hua Zhao, Da-Lin Zeng, Ting-Wei Zhou, Ze-Chao Zhu},
TITLE = {\"Data Mining of Urban New Energy Vehicles in an Intelligent Government Subsidy Environment Using Closed-Loop Supply Chain Pricing Model\"},
JOURNAL = {Computer Systems Science and Engineering},
VOLUME = {35},
YEAR = {2020},
NUMBER = {3},
PAGES = {151--172},
URL = {http://www.techscience.com/csse/v35n3/40086},
ISSN = {},
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.},
DOI = {10.32604/csse.2020.35.151}
}