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科研院所科技成果转化收益分配问题探析
引用本文:黄薏静.科研院所科技成果转化收益分配问题探析[J].湖南工业大学学报(社会科学版),2013,18(6):53-58.
作者姓名:黄薏静
作者单位:中国科学院 宁波材料技术与工程研究所
基金项目:浙江省哲学社科规划课题(12JCGL12YB);浙江省教育厅人文社科规划课题(Y201224497)
摘    要:科技成果转化收益分配政策是影响科技成果转化能否大力推进的关键因素之一。我国现行政策存在的问题主要有科研人员激励政策难以操作,科研人员利益得不到保障;转化收益实行“收支两条线”管理不符合科研院所预算体系、财务管理要求等,影响了科研院所转化科技成果的积极性。应该完善相关法律法规制度,制定股权奖励实施细则,建立单位内部激励机制;并应根据科技成果转化的特殊性、科研院所财务管理的要求及现状制定适宜的国有资产管理政策。

关 键 词:科技成果转化  国有资产管理  科研院所  收益
收稿时间:2013/7/11 0:00:00

Study on the Distribution of Income Transformed from Scientific and Technological Achievements in Research Institutes
HUANG Yijing.Study on the Distribution of Income Transformed from Scientific and Technological Achievements in Research Institutes[J].Journal of Hunan University of Technology(Social Science Edition),2013,18(6):53-58.
Authors:HUANG Yijing
Institution:Ningbo Institute of Materials Technology & Engineering, Chinese Academy of Sciences
Abstract:The distribution policy of income transformed from scientific and technological achievements is one of the key factors affecting the success of achievements transformation. In China, the existing problems of current policies mainly include: it is hard to carry out the researchers' incentive policy; the benefit of researchers can not be guaranteed; the transformation income management that implements the "two lines of revenue and expenditure" does not meet the requirements of scientific and research budget systems and financial management. These problems exert negative influence on the transformation of scientific and technological achievements. It is necessary to improve relevant laws and regulations, enact the detailed rules for the stock equity awards, and build internal incentive mechanism. It is also essential to build suitable state-owned asset management policy according to the particularity of achievements transformation, requirements and the status of financial management of research institutes.
Keywords:scientific and technological achievements transformation  state - owned asset management  research in-stitutes  income
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