战略性新兴产业上市公司金融支持效率及其影响因素研究

培育战略性新兴产业是当前我国促进经济结构转变,顺应世界经济发展趋势的必然选择。本文运用DEA方法测度战略性新兴产业金融支持效率,以此为基础构建金融支持效率影响因素模型。实证研究表明,市场性金融支持行为在经济波动期存在效率缺失;金融支持效率的实现伴随风险的增高;在间接融资驱动力不足情况下,直接融资成为战略性新兴产业发展的主要支撑。分析结果认为,提高战略性新兴产业金融支持效率需要充分发挥政策金融的引导作用,突出银行的支持功能,推进金融服务多元化,提高产业的风险抵御能力。     

领先企业科技创新能力评价指标体系的构建及应用

着重于实用性、可操作性原则,结合对领先企业的认识,提出了"领先企业创新能力"应同时包含科学创新能力的概念。以此为基础,建立了由4大因素、44个具体指标构成的、定性与定量相结合的企业科技创新能力评价指标体系。而后,选择AHP方法,针对领先企业评价指标的内涵,给出了评价的具体方法和步骤。最后,以洛阳市17家骨干企业为例,验证了本文方法的效果。     

AHP和0-1整数规划方法在物流系统零售点选址中的应用研究

物流系统零售点选址所涉及的影响因素众多,这些因素中既有定性因素,又有定量因素。首先用层次分析法对这些影响因素进行处理,得到了各备选点的权值。针对层次分析法无法解决条件约束问题,提出了用层次分析法和0-1整数规划法相结合用于零售点选址的模型。最后,通过示例证明该模型能有效地处理物流系统零售点选址问题。     

军用仓库效能评估模型应用研究

首先在分析军用仓库管理中影响仓储效能的主要因素的基础上,给出一个仓储效能综合评估指标体系;然后应用AHP方法确定影响因素的隶属度,应用模糊综合评估法建立了评估模型;最后将模型应用到库房仓储效能评估中,并根据评估结果给出了合理建议,实例表明了模型的可用性和科学性。     

基于DEA方法的内外资星级酒店效率评价与差异分析——以东部省份14个城市为例

近年来,酒店投资规模不断扩大,但整体收益却不尽如人意,内外资星级酒店利润率差距明显。应用DEA方法对2011~2016年我国东部省份14个主要城市的内外资星级酒店效率进行评价,研究发现:从综合效率来看,虽然内外资酒店存在差异,但两者总体水平均较高,且两者波动趋势一致;从技术效率来看,外资酒店略高于内资酒店,两者差距不明显,且差距有缩小的趋势;从规模效率来看,内外资酒店均处于较高水平,但两者差距明显;从效率分类来看,不同效率水平下的内外资酒店技术效率和规模效率表现不同。据此,对内外资星级酒店综合效率与影响因素之间的关系进行了进一步研究。     

A performance evaluation model for international tourist hotels in Taiwan—An application of the relational network DEA

This research utilizes relational network data envelopment analysis to construct a model to analyze the efficiency and effectiveness of international tourist hotels (ITHs) in Taiwan. The different production processes within the hotel are evaluated, as well as the relationships between efficiency, effectiveness, and overall performance. Finally, based on the results, we recommend ways of enhancing the overall performance of the hotel industry in Taiwan.     

再生沥青组分与其常规理化性能的层次灰色分析

利用层次分析方法(AHP)构建层次结构模型,定性和定量确定权重关系,并通过灰色关联分析方法,进一步有效分析出再生沥青化学组分与其材料性能之间的关联程度,证明在再生沥青化学组成对再生沥青材料性能的影响中引入层次灰色分析方法理论的可靠性。     

Efficiency of travel agencies: A case study of Alicante,Spain

This study analyses the relative efficiency of 22 travel agencies of similar characteristics based in Alicante (Spain). This analysis is carried out using the Data Envelopment Analysis (DEA) technique and smoothed bootstrap. Following the analysis, possible lines of action that the agencies can take in order to improve their efficiency in the future are provided. Finally, using the Mann Whitney U Test, the relationship, or lack thereof, between the levels of efficiency of these agencies and their ownership type, location and level of experience is examined.     

Evaluating the efficiency change and productivity progress of the top global telecom operators since OTT's prevalence

The telecommunications industry has undergone significant evolvement from fixed to mobile substitution (FMS) to fixed mobile convergence (FMC) and now to over-the-top (OTT) services due to the huge rise in data usage. This paper explores efficiency variation during the period 2012–2017 for the top 41 global telecom operators in Forbes Global, 2000. Based on the data envelopment analysis (DEA) meta-frontier approach to reflect differences in production functions, the empirical results herein show that the number of operators achieving technical efficiency with respect to the meta-frontier fell from 13 firms in 2012 to 10 firms in 2013 to 8 firms in 2014 to 8 firms in 2015 and then to 7 firms in 2016, but then rose to 11 firms in 2017, displaying the impact from rise in OTT. For the mobile-only group, the average technical efficiency with respect to the meta-frontier is 0.841, which is superior to the fixed-mobile group's 0.774 and the fixed-only group's 0.714, and the group difference is significant among the three facilities-based groups. The meta-frontier estimation suggests that the fixed-mobile group has the highest meta-technology ratio (MTR) of 0.901 versus the mobile-only group's 0.886 and fixed-only group's 0.718. The empirical results offer policy implications for regulators to encourage telecom operators to have fixed-mobile operations. We further suggest that telecom operators cooperate with OTT service providers and invest in them in order to take advantage of people's more personalized digital life.