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基于委托—代理理论的政府对企业R&D支出激励模型与实证研究
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摘要
当今世界,全球竞争越来越体现在经济和科技实力的竞争。研究与开发(Research and Development,R&D)日益成为建设创新型国家众多因素中较为关键和具有决定性的因素,足够的科技投入是提高国家创新能力、促进经济社会发展的必要条件。在全社会科技投入中,政府财政科技投入起引导作用,企业R&D投入居主体地位,所以探讨政府对企业增加R&D投入的影响效用和激励机制,建立最优激励模型,求解最优激励方案,并进而提高全社会科技投入强度,是管理学研究的一个重要课题。
     本文的主要研究内容包括三个方面:一是将时滞因素和研发报酬率因素纳入政府科技投入对企业研发支出的影响分析当中,分析各种因素对企业R&D支出的影响效用,并以山东省为例进行实证研究。二是基于委托—代理理论框架研究政府对企业科技投入的激励模型,分为4种情形求解出最优激励合同,并结合山东省的科技系统进行实证研究。三是根据模型的研究结果,提出五条对策建议。
     根据本文分析,主要得出两点结论:一是在政府科技投入对企业R&D支出的影响效用分析中,我省政府科技投入的时滞约为2年,政府向企业进行直接科技资助以及向高校进行研发投入均能够对企业的R&D支出产生杠杆效应,政府对科研院所的科技投入并不能确定其对企业R&D支出的影响。另外,通过创造良好的科研环境提高总体科技研发报酬率能够很好的激励企业进行R&D投入。二是通过委托—代理理论对政府科技投入对企业R&D支出的作用机制进行分析,可以看出,在信息对称情况下,激励合同应当更多采用事前补助的形式,并减少企业承担的风险和收益的比例;在信息不对称情况下,必须使企业承担一定的风险,如果能够引入一个与产出相关的可观测变量,激励合同可以得到进一步优化,从我省对专业设备制造企业的科研投入情况看,政府科技投入的力度还有待进一步提高。
     本文建立的政府科技投入对企业R&D支出的激励模型及激励合同求解方法可以丰富管理学的理论和方法,具有理论创新意义;对我省政府激励企业增加科技投入的实证研究,其分析结果可以直接提供给有关科技和产业管理部门作为决策参考,具有较大的应用价值。
Nowadays, global competitions are more focused on economic and scientific strength. Research and development is becoming more crucial and decisive than other factors affecting the contribution of creative country day by day, and enough scientific input is a necessary requisite to improving the innovative capability of the country and prompting the development of economics and society. Among scientific input of the whole society, government financial scientific input plays a leading role with enterprise R&D input as the main part. Therefore, as an important issue in management research, the effect and excitation mechanism that government improves scientific input to enterprises could be discussed by building an optimal excitation model and solving it to increase society scientific input.
     There are three main parts in this paper. Firstly, time lag factor and rate factor of return for research is brought in the effect analysis of government scientific input to enterprise research output and the influence of sorts of factors to enterprise R&D input is analyzed and studied by using the data of Shandong. Secondly, based on principal-agent theory framework, excitation model of government scientific input to enterprise is built and solved under 4 different conditions to get corresponding optimal incentive contracts with a demonstration combined with the scientific system of Shandong province. Thirdly, there are 5 suggestions according to the result of the model.
     According to the analysis in this paper, there are two conclusions: one is that it is leverage effect to enterprise R&D output made by directly scientific financial aid from government to enterprise and research input from government to higher schools and scientific input from government to research institutions couldn’t be sure to influence enterprise R&D output yet besides good scientific environment could improve the return rate of whole scientific research ,which encourages enterprises to increase R&D input, after analyzing the effect of government scientific input to enterprise R&D output with 2-year lag time of government scientific input of Shandong Province. The other is that by means of the effect mechanism of principal-agent theory to the effect of government scientific input to enterprise R&D output, it shows that incentive contract should use preliminary complement and reduce the balance between risks enterprises bear and benefits with symmetric information otherwise enterprises should bear some risk with information asymmetry moreover incentive contract could be further optimized if a visible variable relevant to industry is introduced in the model. According to scientific input to special equipment manufactures of Shandong, strength of government scientific input has to be further improved.
     It could enrich management theory and methods that the excitation model and approach to solving incentive contract of government scientific input to enterprise R&D output in this paper, which has theoretical innovative significance. Results of demonstration for encouragement of Shandong government for enterprise to increase scientific input which has more using value could help relevant scientific and industrial management department to make decisions.
引文
①中国科技部官方概念。
    ②数据来源:2010年科技统计公报。
    ③数据来源:2009年国家科技统计资料汇编。
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