| Title |
Vehicle product-line strategy under dual-credit and subsidy back-slope policies for conventional/new energy vehicles |
| ID_Doc |
16125 |
| Authors |
Liu, L; Wang, Z; Liu, YY; Zhang, ZS |
| Title |
Vehicle product-line strategy under dual-credit and subsidy back-slope policies for conventional/new energy vehicles |
| Year |
2023 |
| Published |
|
| DOI |
10.1016/j.cie.2023.109020 |
| Abstract |
This study considers a monopoly automaker under dual-credit and subsidy back-slope policies to explore the automaker's optimal product-line strategies and the impacts of the two policies on the economy and environ-ment. By constructing a stylized pricing model that takes heterogeneous consumption preferences into account, we investigate how two policy programs, i.e., considering both dual-credit policy and subsidy back-slope policy (DS program) and only dual-credit policy (D program), affect the automaker's product-line strategies, and determine the optimal vehicle pricing, energy-saving level and carbon emissions. The automaker has three product-lines strategies, i.e., conventional vehicle line (CV, C-plan), new energy vehicle line (NEV, N-plan), and CV-NEV line (M-plan). Then, sensitivity analyses are given to examine the impacts of exogenous variables (NEV credit price, subsidy back-slope) and endogenous variables (NEV technology capacity) on the automaker's strategies. The results show that the automaker's NEV technology capacity plays a vital role in the development of the environmentally friendly auto industry. Only when the technology capability reaches a certain threshold, the automaker is willing to take the initiative to produce NEVs. Subsidy back-slope can cause the sales coun-tercurrent of NEVs, which can be alleviated by the NEV credit pricing mechanism. |
| Author Keywords |
New energy vehicle; Conventional vehicle; Product-line strategy; Dual-credit policy; Subsidy back-slope |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000927730400001 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Engineering, Industrial |
| Research Area |
Computer Science; Engineering |
| PDF |
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