| 长江经济带财政科技投入绩效及影响因素分析 |
| |
| 引用本文： | 徐合帆,郑军,余家凤,马艾.长江经济带财政科技投入绩效及影响因素分析[J].科技管理研究,2020,40(11):15-22. |
| |
| 作者姓名： | 徐合帆 郑军 余家凤 马艾 |
| |
| 作者单位： | 长江大学经济与管理学院;长江大学长江经济带发展研究院,湖北荆州 434023;长江大学经济与管理学院;长江大学长江经济带发展研究院,湖北荆州 434023 |
| |
| 基金项目： | 国家社会科学基金重大项目“长江经济带产业绿色发展战略与政策体系研究”（15ZDA020）；湖北省教育厅人文社会科学研究项目“一般性转移支付增长机制研究”（15D019） |
| |
| 摘 要： | 运用超效率SBM模型和ML指数对长江经济带9省2市2007—2017年的财政科技投入绩效从静态和动态两个角度进行测评,并在此基础上采用Tobit面板回归模型进一步对影响长江经济带财政科技投入绩效的外部影响因素进行分析。研究结果表明:(1)长江经济带财政科技投入绩效地区差异显著;(2)长江经济带财政科技投入绩效并不稳定;(3)从长江经济带整体来看,市场化程度、高等教育水平和产业现代化水平对财政科技投入绩效的提升有显著的促进作用,而对外开放水平对财政科技投入绩效的提升则有显著的抑制作用,经济发展水平和政府规模对财政科技投入绩效的提升并没有显著的作用,但这些外部因素对不同区域的影响存在差异。
|
| 关 键 词： | 长江经济带 财政科技效率 超效率SBM模型 ML指数模型 Tobit回归模型 |
| 收稿时间： | 2019/7/15 0:00:00 |
| 修稿时间： | 2019/8/2 0:00:00 |
Analysis of the Performance and Influencing Factors of Financial Science and Technology Input in the Yangtze River Economic Belt |
| |
| Abstract: | Using the super-efficient SBM model and ML index to evaluate the performance of fiscal technology investment in the 9 provinces and 2 cities of the Yangtze River Economic Belt from 2007 to 2017, from the static and dynamic perspectives, and further adopt the Tobit panel regression model. The external influence factors affecting the financial technology performance of the Yangtze River Economic Belt were analyzed. The results show that: (1) The regional performance of financial technology investment in the Yangtze River Economic Belt is significantly different, and only 45% of the regional financial technology investment has been fully and effectively utilized. (2) The performance of financial technology investment in the Yangtze River Economic Belt is not stable. There are two main problems: first, the lack of effective management; second, the scale of investment is unreasonable. (3) From the perspective of the Yangtze River Economic Belt as a whole, the degree of marketization, the level of higher education and the level of industrial modernization have significantly promoted the performance of financial technology investment, while the level of opening up has significantly inhibited the performance of fiscal technology investment. The level of economic development and the size of the government have not played a significant role in improving the performance of fiscal technology investment, but the influence of these external factors on different regions is different. Therefore, it is recommended to increase the scale of financial science and technology investment, improve the fund management system; deepen market reform, enhance independent innovation capability; optimize the size of government functional departments, improve the quality of government staff; optimize industrial structure, and develop strategic emerging industries. Improve the efficiency of financial science and technology and achieve high-quality development of the Yangtze River Economic Belt. |
| |
| Keywords: | Yangtze River Economic Belt fiscal technology efficiency super efficient SBM model ML index model Tobit regression model |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《科技管理研究》浏览原始摘要信息 |
| 点击此处可从《科技管理研究》下载免费的PDF全文 |
|
