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1.
《Socio》2023
Technological innovation and low-carbon economy are significant for the high-quality development of China's industrial sectors. However, few scholars combine the two stages closely and discuss their coordinated development. This paper establishes an evaluation index system of technological innovation and low-carbon economy in China's industrial sectors. The technological innovation efficiency, low-carbon economy efficiency, and comprehensive efficiency of technological innovation and low-carbon economy are dynamically investigated by the two-stage data envelopment analysis (DEA) model and the DEA window analysis with 35 subsectors panel data during 1996–2018. The inter-industrial differences in the technological innovation efficiency and low-carbon economy efficiency are considered, and the influencing factors of the comprehensive efficiency of technological innovation and low-carbon economy are studied by the bootstrap truncation regression. The results show that: (1) The development of the technological innovation and low-carbon economy is uncoordinated, and the low-carbon economy efficiency needs improvement; (2) There is heterogeneous of the technological innovation efficiency and low-carbon economy efficiency in the 35 subsectors; (3) The density of science and technology institutions, and the average enterprises scale are positive to the comprehensive efficiency of technological innovation and low-carbon economy, while excessive reliance on technology introduction has a negative impaction. The corresponding suggestions are provided for promoting technological innovation efficiency and low-carbon economy efficiency of industrial sectors. 相似文献
2.
《Socio》2019
Considering the interrelationships between periods and the influences of non-operational factors, a new framework based generalized three-stage DEA model, grey relational analysis theory and disparity disassembly model is proposed in this paper. Then, we measure the technical efficiency, scale efficiency, and pure technical efficiency of innovation in China's semiconductor industry between 2009 and 2014. In addition, we conducted projection analysis of the inputs to innovation and the disparities analysis in innovation efficiency across the industrial chain and within each segment. The results of our analyses reveal four key findings. The overall innovation efficiency of China's semiconductor industry is increasing; however, each segment of the industrial chain had different trends and different levels of innovation efficiency. All segments show a consistently upward trend except for package testing, which dipped in 2012 due to the time lag between the inputs and outputs associated with major technological advancements. The most efficient innovation is occurring in design and package testing, followed by manufacturing, materials, and equipment, in that order. Low levels of innovation efficiency were found to be the most significant factor restricting further improvement in the design, manufacturing, and equipment segments of the industrial chain. But the opposite is true for the package testing segment, where pure technical efficiency is the main factor. A range of redundancies in input were found across the industrial chain, mostly in manufacturing and equipment. These two segments are capital-intensive and characterized by a high level of technical complexity coupled with a long research cycle. The disparities in innovation efficiency in and between the segments decreased over the period. However, interestingly, the main disparities were found among the enterprises within each segment, which we attribute to the Chinese government's concerted efforts to support particular companies. Package testing and manufacturing had the highest levels of disparity due to relatively high agglomeration of these two segments. The materials segment had the lowest disparity, with equipment and design falling somewhere in-between. 相似文献
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胡树华;张俊;杨晓璇;牟仁艳;丁卓 《经济体制改革》2015,(6):107-112
本文基于创新价值链式增长过程,从知识创新和成果转化两个维度构建了中小企业创新效率两阶段评价体系,并运用DEA模型测算了中部19家上市中小企业的两阶段创新效率。结果表明:整体层面,中小企业知识创新效率与成果转化效率不同步,且转化效率两极现象显著,成为制约整体创新效率提升的瓶颈;个体层面,\"双高\"效率企业存在\"虚高\"现象,\"低-高\"效率企业短期发展势头强劲,\"双低\"效率企业行业从属特征突出,\"高-低\"效率主流趋势明显。同时,基于倒逼机制的有效逆推法则,分别提出了四类企业创新效率的优化对策。 相似文献
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政府投入、市场化程度与中国工业企业的技术创新效率 总被引：3，自引：0，他引：3
本文应用两阶段半参数DEA方法估计了样本期间内,中国30个省区市大中型工业企业技术创新活动的技术与规模效率,实证分析了政府投入与市场化程度变量对创新效率的影响程度与方向。研究发现,政府投入与创新活动的技术效率之间呈现出不显著的负相关关系,其对创新活动的规模效率则具有显著的负向影响。市场化程度对创新的技术效率具有显著的正向影响,而它对规模效率的影响却是显著为负的。 相似文献
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本文以150家上市公司20122016年共17个季度的数据为研究样本,运用数据包络分析法,通过DEA-BCC模型和Malmquist指数分别测算金融支持战略性新兴产业的综合效率和动态效率,再利用Logit模型依次分析20122015年度金融支持效率的影响因素。研究表明,经济新常态下的战略性新兴产业金融支持效率相对有效,但应警惕总体的下降趋势;间接融资和直接融资陆续成为战略性新兴产业的助推因素,战略性新兴产业发展的关键在于政府的合理引导。 相似文献
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安徽省高新技术产业自主创新能力灰色多层次综合评价研究 总被引：2，自引：0，他引：2
通过对产业自主创新和自主创新能力的界定,结合高新技术产业的特点,构建了高新技术产业自主创新能力评价指标体系。应用灰色系统理论对安徽省2006年高新技术产业的自主创新能力进行评价,分析出安徽省高新技术产业中各产业的自主创新能力的强弱,从而为提高高新技术产业自主创新能力提供决策参考。 相似文献
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运用DEA方法分别以投入（R&D经费、科技人员、科技活动经费支出）、产出（工业总产值、出口创汇、技术收入）测算高新技术创新效率,采用基尼系数（GINI）、广义熵指数（GEM）测量分析国家高新区创新区域差距,结果显示:国家高新区的技术效率中规模因素占主导作用,创新能力较弱和较强地区创新效率差异明显,且技术收入表现作用突出。四大板块区域内,工业总产值为代表的规模效益能力的差异表现尤为突出,且出口创汇和技术收入差异的贡献率均超过54%。 相似文献
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把大中型高技术企业科技活动分解为科技成果产出和科技成果转化为生产力两阶段,运用KAO模型和在规模报酬可变的条件下构建的链形关联DEA模型,选取2000年、2005年和2007—2011年的大中型国有控股企业、大中型内资企业、大中型港澳台资企业和大中型外资企业的数据,具体分析计算各类企业的技术效率、纯技术效率和规模效率。实证研究表明：大中型国有控股企业、大中型内资企业的表现普遍弱于大中型港澳台资企业和大中型外资企业;科技成果转化为生产力的能力低和规模效率低是制约大中型国有控股企业和大中型内资企业发展的两大障碍。 相似文献
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《管理科学学报（英文）》2021,6(4):482-498
The result shows that it accepts the null hypothesis. Namely, there is no significant difference in the operating efficiency of universities in different regions. That is to say, although the efficiency of the central and western universities is slightly better than that of the eastern universities in terms of the average efficiency, there is no significant efficiency difference among the eastern, central, and western regions statistically. Therefore, it shows a balanced development trend for the efficiency of universities in different regions. 相似文献
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本文运用DEA(数据包络分析方法)和Malmquist效率指数,分析了我国家电行业生产效率的动态变化,发现影响我国家电行业上市公司Malmquist指数逐年下降,认为技术创新对提高我国家电行业上市公司的效率非常至关重要。并对技术效率和技术进步进行了相关性研究。 相似文献
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This paper analyzes regional determinants of the start-up ratio in the Japanese manufacturing sector. A major contribution
of this study is the comparison between high-tech and low-tech industries. The empirical results using a sample of 253 industrial
districts suggest that business density, weight of the manufacturing sector, and the average business size significantly influence
the start-up ratio in both high-tech and low-tech industries. Distinct differences between these industries were found with
regard to the effects of human capital, research institutes, and the weight of high-tech industries.
相似文献
| Hiroyuki OkamuroEmail: |
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基于DEA模型的我国商业银行效率的实证研究 总被引：1，自引：0，他引：1
以我国9家已上市的股份制商业银行为研究对象,基于各银行2006年的统计数据,运用数据包络分析方法,研究他们的投入产出效率值。并用该模型的测算结果与已有文献中2002年的银行效率排名作对比。经研究表明,股份制商业银行的效率已经有了很大改观,股份制改革对国有商业银行经营效率有一定的推动作用;政府也利用内部调整以及放松管制等手段,给予国有商业银行很大帮助。本研究的重要意义在于,为迅速有效得提高我国商业银行的经营效率,达到国际一流的银行业水平提供借鉴和参考。 相似文献
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《Socio》2017
A balance between environmental regulation and economic prosperity has become a major issue of concern to attain a sustainable society in China. This study proposes the application of Data Envelopment Analysis (DEA) for measuring the efficiencies of the ecological systems in various regions of that country. The proposed approach differs from most of the previous ecological systems models in that we view it in a two stage setting; the first stage models the ecological system itself, and from an economic perspective, while the second stage (decontamination system) models water recycling as a feedback process, and the treatment of other undesirable outputs coming from the first stage. There, we separate polluting gases and water into two parts; one part is treated, while the other is discharged. The model considers two major desirable outputs from the first stage, namely Population and Gross Region Product by expenditure (GRP), as well as undesirable variables in the form of consumed water, and certain pollutants, namely nitrogen oxide, sulfur dioxide and soot. At the same time, these undesirable outputs from the first stage are inputs to the second decontamination stage. As well, recycled water is fed back into stage 1. Thus, intermediate variables such as consumed water and waste gas emission simultaneously play dual roles of both outputs and inputs in the ecological system. 相似文献
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《管理科学学报（英文）》2021,6(4):413-434
Data envelopment analysis (DEA) is a non-parametric approach for measuring the relative efficiencies of peer decision making units (DMUs). In recent years, it has been widely used to evaluate two-stage systems under different organization mechanisms. This study modifies the conventional leader–follower DEA models for two-stage systems by considering the uncertainty of data. The dual deterministic linear models are first constructed from the stochastic CCR models under the assumption that all components of inputs, outputs, and intermediate products are related only with some basic stochastic factors, which follow continuous and symmetric distributions with nonnegative compact supports. The stochastic leader–follower DEA models are then developed for measuring the efficiencies of the two stages. The stochastic efficiency of the whole system can be uniquely decomposed into the product of the efficiencies of the two stages. Relationships between stochastic efficiencies from stochastic CCR and stochastic leader–follower DEA models are also discussed. An example of the commercial banks in China is considered using the proposed models under different risk levels. 相似文献
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Journal of Productivity Analysis - 相似文献
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运用包络数据分析法建立DEA模型对乌鲁木齐国际陆港2012~2019年的物流效率进行了分析。结果表明:乌鲁木齐国际陆港物流的平均综合技术效率为0.976,平均纯技术效率为0.993,平均规模效率为0.983。并且用DEA模型对DEA无效的年份进行了详细的冗余分析,针对陆港物流的产出冗余,为乌鲁木齐国际陆港物流提高物流效率以及如何走向高质量发展道路提出了建议和对策。 相似文献
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基于改进DEA模型的中国省域农产品物流效率测度 总被引：2，自引：0，他引：2
以大陆地区31个省、市、自治区为研究对象,使用改进的DEA-IDEA模型定量地测度我国2011年农产品物流效率水平,并对各省、市、自治区农产品物流效率差异产生原因进行分析。传统模型测量结果显示,2011年东部地区的技术效率水平高于中部地区和西部地区,西部地区的技术效率水平在三大地区中最低。使用改进后DEA模型（IDEA模型）后,东部地区的技术效率水平与中部、西部地区的差距进一步扩大;而西部地区与中部地区的技术效率水平差异却有所减少。除西部地区部分省份外,全国大部分区域已不适合继续扩大农产品物流规模。同时发现农产品物流业从业人数和农产品物流总额是影响农产品物流技术效率水平的主要因素。 相似文献
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城市内部教育科研机构及高科技企业的集聚是区域创新体系发展和城市经济、空间发展的重要推动力.为考察北京市中心城区教育及科技行业基本单位的集聚和分布特点,采用Arcgis的空间统计分析工具分析了信息传输、计算机服务和软件业,科学研究、技术服务和地质勘查业以及教育业三类相关行业的Moran'8 I,Local Moran I... 相似文献