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论文编号：	11757
作者编号：	2120182921
上传时间：	2020/6/20 15:11:44
中文题目：	政府科技投入对制造业企业创新投资的影响研究
英文题目：	Research on the Impact of Government R&D Investment on Manufacturing Enterprises'' Innovation Investment
指导老师：	李姝
中文关键字：	政府科技投入;创新投资;研发支出
英文关键字：	Government Investment in Science and Technology;Innovation Investment;R&D Expenditure
中文摘要：	相比于其他产业，技术创新要素在制造业中发挥的作用更加重要。制造产业的发展离不开科学技术的创新，企业技术水平的进步能够促进全产业技术整体水准的提高。企业通过创新来提高市场竞争力，但创新会受到外部环境和研发风险的影响。我国政府一直重视制造业的技术创新，提出了“大众创新，万众创业”以及“中国制造2025”等。政府创新补助缓减了企业科技研发的财务负担，是新技术、产品研制的重要财务来源，在收到政府的科技投入后企业很可能会扩张创新投资规模。此外，政府科技投入的效果会受到多种因素的影响，微观层面包括企业特征，宏观层面包括地区知识产权保护程度、金融发展水平以及行业竞争程度。政府科技投入的投资成效会因公司微观特征或外部宏观要素的差异而改变。通过研究各种经济因素对政府投入效果的影响，有利于政府和企业分析当前政策实施的成效，从而适当调整创新政策。 本文通过分析经济理论、市场规律等，总结了学者对于政府科技投入效果的学术成果，从企业因素和行业地区环境方面对该效果进行了理论总结。实证部分以2014-2018年制造行业企业的数据观测值为样本，采用混合回归法来估计实证模型的变量系数等，得出以下结论：政府科技投入能从整体上显著地激励公司提高创新投资；与非高新企业相比，政府科技投入对高新企业创新投资的促进效果更加显著；与低知识产权保护质量地区相比，政府科技投入促进高知识产权保护质量地区企业创新投资的效果更好；与低竞争度行业相比，政府科技投入促进高竞争度行业企业创新投资的效果更好；与低金融发展水准地区相比，政府科技投入促进高金融发展水准地区企业创新投资的效果更好。此外，本文使用了替换变量、倾向评分匹配以及分位数回归法检验了结果的稳健性，根据实证模型结果对政府和企业提出了相应的建议。
英文摘要：	Compared with other industries, the role of technological innovation factors in manufacturing is more important. The development of the manufacturing industry is inseparable from the innovation of science and technology. The advancement of the enterprise's technological level can promote the improvement of the overall technical level of the entire industry. Enterprises improve market competitiveness through innovation, but innovation will be affected by external environment and R&D risks. The government has always attached importance to technological innovation in the manufacturing industry, and has proposed "Mass innovation, mass entrepreneurship" and "Made in China 2025", etc. The government innovation subsidy has slowed down the financial burden of enterprise R&D and is an important financial source for new technology and product development. After receiving government investment in technology, companies are likely to expand the scale of innovation investment. In addition, the effect of government investment in science and technology will be affected by a variety of factors. The micro level includes the characteristics of the enterprise, and the macro level includes the degree of regional intellectual property protection, financial development, and industry competition. The effectiveness of government investment in science and technology will change due to differences in the firm micro-characteristics or external macro factors. By studying the impact of various economic factors on the effect of government input, it is helpful for the government and enterprises to analyze the effectiveness of current policy implementation, so as to appropriately adjust innovation policies. This paper summarizes the academic achievements of scholars on the effects of government investment in science and technology by analyzing economic theories, market laws, etc., and theoretically summarizes the effects from the perspective of enterprise factors and industry and regional environment. The empirical part uses the data observations of manufacturing companies in 2014-2018 as samples, and uses the pool regression method to estimate the coefficients of variables in the empirical model, and draws the following conclusions. Government investment in science and technology can significantly incentivize companies to increase innovation investment as a whole. Compared with non-high-tech enterprises, the effect of government investment in science and technology on innovation investment of high-tech enterprises is more significant. Compared with regions with low intellectual property protection quality, government science and technology investment promotes the innovation investment of enterprises in regions with high intellectual property protection quality. Compared with low-competitive industries, government investment in science and technology promotes innovation investment in high-competitive industries. Compared with areas with low financial development, government investment in science and technology promotes innovative investment in regions with high financial development. In addition, this article uses substitution variables, PSM, and quantile regression to test the robustness of the results, and makes corresponding recommendations to the government and enterprises based on the results of the empirical model.
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