|
考虑新能源投入水平的新能源汽车市场扩散与动态定价研究
|
Abstract:
本文旨在研究新能源汽车市场扩散与动态定价问题,特别是在新能源投入水平的考量下。文章基于广义巴斯扩散模型,引入新能源技术投入水平和价格因素,构建了一个综合市场因素和新能源投入水平的市场扩散预测模型。通过Hamilton方程求解最优动态定价,并进行敏感度分析和数值模拟,揭示了新能源投入水平和价格敏感系数对市场扩散和定价策略的影响。研究发现,新能源投入水平的提升能够加快市场扩散速度,而价格敏感系数是影响最优动态定价策略的关键因素。文章最后提出了未来研究方向,旨在为新能源汽车市场的健康发展提供理论和实践指导。
This paper aims to study the market diffusion and dynamic pricing issues of new energy vehicles, especially considering the level of new energy investment. Based on the Generalized Bass Model (GBM), the paper introduces new energy technology investment levels and price factors, and constructs a market diffusion prediction model that integrates market factors and new energy investment levels. By solving the optimal dynamic pricing using the Hamiltonian equation, and conducting sensitivity analysis and numerical simulations, the paper reveals the impact of new energy investment levels and price sensitivity coefficients on market diffusion and pricing strategies. The study finds that an increase in new energy investment levels can accelerate the speed of market diffusion, while the price sensitivity coefficient is a key factor influencing the optimal dynamic pricing strategy. Finally, the paper proposes future research directions, aiming to provide theoretical and practical guidance for the healthy development of the new energy vehicle market.
[1] | Zhu, W. and He, Y. (2017) Green Product Design in Supply Chains under Competition. European Journal of Operational Research, 258, 165-180. https://doi.org/10.1016/j.ejor.2016.08.053 |
[2] | 江世英, 李随成. 考虑产品绿色度的绿色供应链博弈模型及收益共享契约[J]. 中国管理科学, 2015, 23(6): 169-176. |
[3] | 冯颖, 汪梦园, 张炎治, 等. 制造商承担社会责任的绿色供应链政府补贴机制[J]. 管理工程学报, 2022, 36(6): 156-167. |
[4] | 余娜娜, 王道平, 赵超. 考虑产品绿色度的双渠道供应链协调研究[J]. 运筹与管理, 2022, 31(4): 75-81. |
[5] | 熊峰, 魏瑶瑶, 王琼林, 等. 考虑成员风险规避的双渠道绿色供应链定价与绿色投入决策研究[J]. 中国管理科学, 2022, 30(8): 267-276. |
[6] | 朱庆华, 夏西强, 王一雷. 政府补贴下低碳与普通产品制造商竞争研究[J]. 系统工程学报, 2014, 29(5): 640-651. |
[7] | Choudhary, A., Suman, R., Dixit, V., Tiwari, M.K., Fernandes, K.J. and Chang, P. (2015) An Optimization Model for a Monopolistic Firm Serving an Environmentally Conscious Market: Use of Chemical Reaction Optimization Algorithm. International Journal of Production Economics, 164, 409-420. https://doi.org/10.1016/j.ijpe.2014.10.011 |
[8] | Chen, X., Luo, Z. and Wang, X. (2017) Impact of Efficiency, Investment, and Competition on Low Carbon Manufacturing. Journal of Cleaner Production, 143, 388-400. https://doi.org/10.1016/j.jclepro.2016.12.095 |
[9] | Kalish, S. (1985) A New Product Adoption Model with Price, Advertising, and Uncertainty. Management Science, 31, 1569-1585. https://doi.org/10.1287/mnsc.31.12.1569 |
[10] | Peres, R., Muller, E. and Mahajan, V. (2010) Innovation Diffusion and New Product Growth Models: A Critical Review and Research Directions. International Journal of Research in Marketing, 27, 91-106. https://doi.org/10.1016/j.ijresmar.2009.12.012 |
[11] | Tsai, B., Li, Y. and Lee, G. (2010) Forecasting Global Adoption of Crystal Display Televisions with Modified Product Diffusion Model. Computers & Industrial Engineering, 58, 553-562. https://doi.org/10.1016/j.cie.2009.12.002 |
[12] | Shen, W., Duenyas, I. and Kapuscinski, R. (2014) Optimal Pricing, Production, and Inventory for New Product Diffusion under Supply Constraints. Manufacturing & Service Operations Management, 16, 28-45. https://doi.org/10.1287/msom.2013.0447 |
[13] | Kumar, S. and Swaminathan, J.M. (2003) Diffusion of Innovations under Supply Constraints. Operations Research, 51, 866-879. https://doi.org/10.1287/opre.51.6.866.24918 |
[14] | Wu, X., (Yale) Gong, Y., Xu, H., Chu, C. and Zhang, J. (2017) Dynamic Lot-Sizing Models with Pricing for New Products. European Journal of Operational Research, 260, 81-92. https://doi.org/10.1016/j.ejor.2016.12.008 |
[15] | Kalish, S. (1983) Monopolist Pricing with Dynamic Demand and Production Cost. Marketing Science, 2, 135-159. https://doi.org/10.1287/mksc.2.2.135 |