湖北农业科学 ›› 2020, Vol. 59 ›› Issue (15): 190-195.doi: 10.14088/j.cnki.issn0439-8114.2020.15.038

• 经济·管理 • 上一篇    下一篇

外部性和内生性视域下中国科技投入绩效——基于政府与市场的比较

赵当如, 刘玲   

  1. 广西大学商学院,南宁 530004
  • 收稿日期:2019-12-03 出版日期:2020-08-10 发布日期:2020-09-24
  • 作者简介:赵当如(1996-),男,湖北武汉人,在读硕士研究生,研究方向为数量经济,(电话)18627735731(电子信箱)1322135252@qq.com。

The performance of scientific and technology investment in China from the perspective of externality and endogencity: Based on the comparison between government and market

ZHAO Dang-ru, LIU Ling   

  1. Business School of Guangxi University, Nanning 530004,China
  • Received:2019-12-03 Online:2020-08-10 Published:2020-09-24

摘要: 基于2016—2017年上市公司A股制造业微观数据,运用DEA-Tobit模型测算政府科技投入对企业科技投入绩效的影响程度,选取2016—2017年中国30个省(市、自治区)的省际宏观数据,在考虑科技产出负外部性的影响下,运用改进非期望SBM模型剔除政府科技投入对企业科技投入的内生性影响来测算中国30个省(市、自治区)的政府与企业的科技投入绩效。结果表明,政府科技投入负向调节企业科技投入与其绩效之间的关系;经济科技水平较发达地区政府与市场的科技投入绩效较高;经济科技发展水平最高的东部沿海地区企业科技投入绩效高于政府科技投入绩效;经济科技发展水平较弱的中部地区政府与市场的科技投入绩效相持平;西部地区政府科技投入绩效高于市场;经济较弱的中部地区科技带来的环境污染比经济发展最好的东部地区和发展最弱的西部地区更多,符合科技发展水平与环境污染间的倒“U”型关系。

关键词: 外部性, 内生性, 科技投入绩效, 政府与市场, 改进非期望SBM模型, Tobit模型

Abstract: Based on A-shares listed micro data of companies manufacturing from 2016 to 2017, this study uses DEA-Tobit model to calculate the government investment in science and technology influence on the performance of enterprise investment in science and technology level, and considers the output of science and technology under the influence of negative externalities based on the provincial macro data of 30 provinces(cities, autonomous regions) in China from 2016 to 2017,and then uses improved unexpected SBM model to measure China’s 30 provinces(cities, autonomous regions) of investment in science and technology performance of the government and enterprises by eliminating the impact on enterprise investment in science and technology of government investment in science and technology endogenous. The results show that government investment in science and technology negatively regulates the relationship between enterprise investment in science and technology and its performance. The performance of government and market investment in science and technology is higher in the developed regions. The performance of enterprises in the eastern coastal areas with the highest level of economic and technological development is higher than that of the government. The performance of the government and the market in the central region with a weak level of economic and technological development is equal to that of the market. The western region government investment in science and technology performance is higher than the market. The environmental pollution caused by science and technology in the central region with weak economy is more than that in the eastern region with the best economic development and the western region with the weakest development, which is in line with the inverted “U”relationship between the level of science and technology development and environmental pollution.

Key words: externality, endogencity, science and technology investment performance, government and market, improved unexpected SBM model, tobit model

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