中国人口·资源与环境2017，Vol.27Issue(10)：188-197,10.DOI:10.12062/cpre.20170514
新能源汽车补贴政策工具挖掘及量化评价
Policy instrument mining and quantitative evaluation of new energy vehicles subsidies
摘要
Abstract
At present,China vigorously carries out the demonstration and extension of new energy vehicle,and at same time,the central and local governments have introduced a series of subsidies.It is very important to analyze and sort out the existing policies in order to avoid'cheating subsidies' behavior of the new energy vehicles and re-adjust and improve the subsidy policy.This paper selected the subsidy policies about new energy vehicles promulgated by the state and Beijing in 2016.First of all,this paper sorted out the high-frequency effective keywords from policy text by using text mining method and extracted the policy instruments,which were divided into three categories:supply-oriented,demand-oriented,environmental-oriented.These categories respectively promote and regulate the new energy automotive market and environmental from three aspects including technology support,market-driven and environmental support.The existing policy instruments still have some problems:There are not enough supply-oriented policy instruments to enhance technology and product development of new energy vehicles.The focus of environmental-oriented policy instruments is not scientific,and we require more attention to the construction of charging infrastructure.Subsidies are only focused on the purchase of new energy vehicles.Second,this paper constructed the quantitative evaluation framework by combining with the characteristics of the new energy vehicle subsidy policy and using the PMC-index model.The multi-input-output table was established through variable classification and parameter identification.Details in various dimensions of the policy can be reflected through the measurement of PMC-index and the generation of PMC surface.Third,using the method of empirical analysis,three new energy vehicle subsidy policies were selected as the research object,and the policy was evaluated quantitatively.The results of the three policies of the PMC-index were 7.52,6.95,and 6.21,all within a good level.The quantitative evaluation result of P1 was excellent.P2 and P3 were good,and have a larger room for improvement,such as increasing the incentive measures.Finally,according to the reasons why new energy vehicle subsidy policy can not achieve the desired effect,it put forward three policy optimization suggestions:① paying more attention on the use of supply-oriented policy instruments to increase investment in new energy vehicles research funds;② environmental-oriented policy instruments should be focused on the role in the construction of charging infrastructure;③ demandoriented can take the strategy of increasing the public transport to promote private transport.关键词
新能源汽车补贴政策/文本挖掘/政策量化评价/PMC指数模型Key words
new energy vehicles subsidy policy/text mining/quantitative evaluation of policy/PMC-Index model分类
管理科学引用本文复制引用
张永安,周怡园..新能源汽车补贴政策工具挖掘及量化评价[J].中国人口·资源与环境,2017,27(10):188-197,10.基金项目
国家自然科学基金项目“基于CAS的焦点企业科技创新网络演化机理研究”(批准号:70972115). （批准号:70972115）
