| Firstly, this paper considered the impact of the government’s policy of subsidies for new energy automotive industry from the macro background of new energy automotive industry. Government incentives for the industry will greatly increase new energy vehicles in the market according to actual analysis, which can greatly contribute to the development of new energy automotive industry. Then the efficiency of subsidies is taken into consider, the state subsidies for new energy automotive industry chain can be divided for manufacturers, operators and consumers. This paper studied the problem of subsidies from the perspective of supply chain management, which analyzed the impact to domestic demand and supply chain profit brought by different subsidy object. The paper discussed the different increased sales and supply chain profit brought by different subsidy object under different subsidy factor with the help of modeling method. An example is given to compare which subsidy object is better under different subsidy coefficient.Then the paper researched a series of lease-purchase decisions on complex decision-making environment made by the new energy vehicles operator in the background of micro-decisions. The traditional problem just considered pure rental and purchase strategies based on the classic "rent-sleds" model, but the actual investment decisions in new energy vehicles are varied. Chapter 3 considered the leasing strategy that new energy vehicle operators opt to prepay part of the purchase price to get a lower rental costs afterward based on the existing research by simulating realistic operation model, thus the lease or purchase model with multi-strategy selection is given, which makes the mode closer to the real market. Then in the chapter 3 we analyzed the optimal offline strategy and best online strategy by the analysis of online algorithms competitive ratio. Finally, numerical examples are given to illustrate the problem of multi-strategy, which proved that the multi-policy choices have a significant impact on decision-making for the new energy vehicles operator.Online algorithms and competitive ratio analysis is the main method to study online rental. But traditional research generally gave the optimal investment strategy in the situation of constant rental fee and purchase price. Chapter 4 introduced the market collapse time based on the uncertainty of market factors on the new energy automobile lease purchase decision problem mathematical models. To improve the competitive performance of the strategy, we gave the optimal online ‘lease or rent’ strategy and its competitive ratio on the condition of continuous decreasing purchase price, subsidize prices and rental prices. Furthermore we proved this policy is the optimal competitive strategy of such kind of problem by using the two zero-sum game theory rigorously. Then we kept the subsidy price unchanged and studied the online rental strategy in which both new energy vehicles purchase price and rental prices declined discretely. We gave the upper bound of the competitive ratio and spread the model to the market with interest rates to make it more realistic.Earlier studies are conducted under the premise of a single equipment investment proposed by Professor Karp. In fact along with of increasing economies of scale in companies, new energy vehicles operators need to operate more vehicles over a period of time. The chapter 5 was based on the theory proposed by Professor Karp, which considered discrete online strategy under the needs of operating several new energy vehicles on a background of inflation. We get the theoretical results by the establishment of the theoretical optimal renting-buying model, as the number of car should be integrity due to the actual situation. Thus the theoretical results should be adjusted and optimized several times to get an approximate theoretically optimal strategy to make the conclusion more suited to the actual market. Finally, we verified the correctness of the conclusions through numerical analysis. |
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