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作 者:叶银丹 甄峰[3] Ye Yindan;Zhen Feng(Research Institute of Bank of China,Beijing 100818,China;Solvay Business School,Vrije Universiteit Brussel,Brussels 1050,Belgium;Center for Applied Statistics,School of Statistics,Renmin University of China,Beijing 100872,China)
机构地区:[1]中国银行研究院,北京100818 [2]布鲁塞尔自由大学(荷语),布鲁塞尔1050 [3]中国人民大学应用统计科学研究中心统计学院,北京100872
出 处:《科研管理》2019年第12期105-115,共11页Science Research Management
基 金:国家社会科学基金年度项目:“大数据背景下从科技统计到创新统计的体系构建研究”(项目编号:15BTJ013,起止时间:2015-2020);中国博士后科学基金第66批面上资助:“金融资源配置对我国创新能力的影响研究”(项目编号:2019M660939,起止时间:2019-2021)
摘 要:本文利用等效益面方法和微观企业数据研究企业的效率问题,推导企业的技术进步贡献率,并选取了纺织业和电子设备制造业为例进行实证研究。结果表明两个行业的企业纯技术效率不高,有相当比例企业的规模效率递减,进而制约企业的综合效率提升。纺织业的技术进步贡献率在行业规模缩减期,在40%的水平上有所上升,在规模扩张期则有所下降;电子设备制造业的技术进步贡献率经历一段30%水平的稳定期后,随着研发投入的增加快速提升;产业集聚未能有效提升企业的技术进步贡献水平,核心因素仍是研发投入。China’s economy is entering a new stage of strengthening innovation, improving economic efficiency and accelerating transformation and upgrading. One of the main tasks of the economy is to transform the elements and investment driven economic growth to an innovation driven one. The index of contribution rate of technological progress is a direct measurement of how much does innovation contribute to the growth of economy. In this context, the contribution rate of technological progress is widely discussed in government departments and academic field. Because of the importance of this index, there are a large number of researches focusing on the measurement of the contribution rate of technological progress. However, most of them have either theoretical or practical defects. For example, lots of results based on popular measuring methods are not stable, which means the measuring results can vary widely according to the parameters of measuring models. Besides, the calculation of capital investment is difficult, and it effects the result of the contribution rate of technological progress to a large extend. Moreover, those calculation methods based on the production function have problems that the assumptions are difficult to be fully satisfied.In this paper, we do not calculate the contribution rate of technological progress based on the production function, thus avoiding the shortcomings of the production function based methods. We derive the formula of contribution rate of technological progress from DEA method and equal efficiency method. Our method of measuring the contribution rate of technological progress is called the equal efficiency method. The main idea of our method measuring the contribution rate of technological progress is as follows. Firstly, according to the input-output data of enterprises, we apply the DEA method to calculate the maximum output that can be obtained under the existing input of each enterprise. Secondly, the relative benefit of an enterprise is defined as the ratio of the actual ou
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