摘要
伴随着我国社会经济的快速发展,科技服务业在国民经济中的地位日渐重要,科技服务业对经济增长的作用也越加明显。本文根据吉林省1995~2015年科技服务业增加值、经济增长和R&D经费投入的数据,通过构建VAR模型进行实证分析。结果表明:经济增长对科技服务业发展有着明显的促进作用,同时科技服务发展对经济增长也具有积极的影响。科技服务业的发展和经济增长之间存在着双向的因果关系,其中科技服务业增加值与R&D经费投入均受到经济增长较强的影响,而科技服务业增加值与R&D经费投入虽然均对经济增长的影响较弱但处于不断增加的态势。当前应该加大吉林省R&D经费投入,促进科技服务业的发展以达到促进经济增长的目的。
New energy vehicle promotion is important to alleviate the pressure of energy supply and reduce the burden of environmental protection,China strongly supports the industry by policies. Charging pile subsidy and purchase subsidy are regarded as the representative policy. Based on the urban panel data from 2011 to 2015,this paper uses the fixed effect regression model and the instrument method to establish the evaluation system of the policy,and distinguishes the direct network effect and the indirect network. According to the policy and the development of new energy market,this paper measures and compares the policy effect of charging facilities and the purchase subsidy policy. New energy vehicle policy needs large investment and long operation cycle,the compare of the different policy effects is helpful to reduce policy costs,improve policy efficiency and decision-making efficiency,and finally promote the development of new energy automotive market. The results show that the charging pile and the purchase subsidy have a significant effect on the promotion of new energy vehicles. With the purchase subsidy standard of new energy vehicles gradually receding,the amount of purchase subsidy decreases year by year,accelerating the construction of charging pile infrastructure and eliminating consumer anxiety is important policy direction to promote new energy vehicles.
出处
《工业技术经济》
CSSCI
北大核心
2018年第2期66-73,共8页
Journal of Industrial Technological Economics
基金
吉林省科技厅软科学项目"吉林省科技服务业发展运行路径研究"(项目编号:20160418052FG)阶段性成果
关键词
科技服务业
经济增长
VAR模型
吉林
R&D
科技创新能力
new energy vehicle
direct network effect
indirect network effect
charging pile
policy evaluation
fixedeffect model
