科技计划项目资助额度量化与实证研究

An empirical study of the quantification of subsidy quota for science and technology planning projects

本文基于科技计划管理系统往往缺乏能够科学、合理地量化科技计划资助额度的依据,展开了科技计划项目资助额度量化研究。该研究运用SMART指标法、德菲尔法,采用异常值纠正、标准化、赋权统计、结果调节等数学方法,构建科技计划项目资助额度量化模型,并进行实证分析。研究表明,本研究所提出的模型可量化科技计划项目的资助金额;应用调节方法,能达到财政科技创新研发资金投入预算值与立项项目资助金额的平衡,亦可使科技管理部门对科技创新研发资金的资助导向和制定的科技规划得以体现。研究成果获得科技管理部门的采纳,使科技计划管理工作者摆脱了在经费配置中缺乏科学量化依据的困扰,科技创新研发资金管理从过多依赖管理者的主观判断向科学规范决策转变,有效提高了科技计划管理的绩效和宏观可控性,因此亦是当前科技计划管理改革的具体实践。

A research on the quantification of subsidy quota for sci - tech planning project is carried out in this paper, because in the management system there was fewer criteria to quantify scientifically and reasonably the subsidy quota of sol - tech planning projects. In the research, the SMART Method and Delphi Method are applied, various fuzzy mathematics methods such as Outlier Correction, Normalization, Empowerment Statistics, Result Adjustment and so on are also utilized to construct a subsidy quota quantification model of sci - tech planning project, and an empirical study is implemented. The proposed model of this research can quantify the subsidy amount of sci - tech planning project. By use of adjusting method, a balance can be obtained between the finance fund value of investment budget for sci - tech innovation research development and the subsidy amount of established project, in the meantime the funding guide on sci - tech innovation research - development fund and the sci - tech planning set by sci - tech management department can be embodied. The research achievement has already been adopted by the sci - tech management department, which can get rid sci - tech planning management staff of the puzzle caused by short of scientific quanti- fication criterion in the fund allocation, and promote transformation of management mode of sci - tech innovation research - devel- opment fund from excessive dependency on subjective judgment to scientific and normative decision - making, and effectively im- prove the scientificity, normalization, and macroscopic controllability of the sci - tech planning management, thus it is a concrete practice of current sci - tech planning management reform.