PTE,innovation capital and firm value interactions in the biotech medical industry

Unlike previous studies which only focus on the main effect between IC and FV, this research includes PTE with the gap of resource-based view. IC is a key element in creating a competitive advantage, as it has a great influence on FV. A company may put relatively less into IC if it demonstrates higher efficiency. However, previous studies have neglected the fact that relative efficiency and IC affect FV and stock returns directly and indirectly. The research period was from 2006 to 2010 and the main research methods include HRA and DEA. The main research findings include the following. (1) There is a space for improvement in terms of the total technical efficiency. (2) PTE has a significant moderating effect between IC and FV. (3) IC and PTE have a significant influence on FV. (4) Apart from PTE and stock returns, IC and FV show significant differences within the sub-industry.     

New Zealand Bank Mergers and Efficiency Gains

ABSTRACT

This paper uses accounting ratios and DEA (Data Envelopment Analysis) to explore the efficiency impacts of 6 bank mergers in New Zealand between 1989 and 1998. The paper is the first reported application of DEA to the New Zealand banking sector, and its methodology is based around that used by Avkiran in his study published in the Journal of Banking and Finance in 1999 (Avkiran, 1999b).

Consistent with earlier research, acquiring banks were found to be generally larger than their targets, although they were not consistently more efficient. In a majority of cases the merger led to an increase in efficiency, consistent with a trend observed for the banking sector as a whole. No clear conclusions could be drawn on possible public benefits from the mergers.     

山西省煤炭物流中铁路运输与公路运输协同发展评价

从系统的角度出发,分析山西省煤炭物流发展过程中铁路运输与公路运输的关系,运用改进的DEA方法,结合2005年到2009年实际数据进行实证研究,在计算煤炭铁路运输与公路运输两者之间协同效度与发展效度的基础上,综合评价了山西省煤炭物流发展过程中铁路运输与公路运输的协同发展程度,并提出相应的建议。     

剥离环境因素的中国高技术产业创新效率综合测度研究

由于未剔除环境因素和随机误差的影响,运用传统数据包络分析（DEA）和随机前沿分析（SFA）对高技术产业创新效率进行研究,容易引起评价结果误差。采用二者相结合的三阶段DEA模型对高技术产业创新效率及其影响因素进行测度与分析,能够保证评价结果的有效性。研究结果显示：规模效率不足是限制我国高技术产业创新效率提升的关键因素;另外,市场开放度能够显著正向促进高技术产业创新效率提升,而政府资助、地区经济发展和地区竞争不利于创新效率提升。最后,对投入要素与技术效率进行聚类分析,将我国内地28个省市划分为4种创新类型,并〖JP〗提出提升高技术产业创新效率的政策建议。     

Outsourcing and firm performance nexus: An analysis using the conventional and panel double-bootstrap procedure

Industrial performance is an essential element of economic progress. In this study, we examine the impact of outsourcing on industrial performance using the firm-level data of 191 textile companies in India over the period 2000–2015. First, we follow the conventional non-parametric two-stage procedure and analyse the nexus between outsourcing and firm performance under a single-objective setting. We then test the influence of outsourcing on the performance of multiple-objective firms using reverse directional distance function scores. To address the bias in efficiency estimation and the serial correlation issue in the second-stage regression, we use truncated regression and the double-bootstrap procedure for panel data analysis. Our results show an improvement in industrial performance over the study period. Our analysis following the conventional two-stage procedure shows that the outsourcing of manufacturing activities and professional jobs contributes to industrial performance. The relation between outsourcing and firm performance essentially remains the same in a more reliable analysis using a panel double bootstrap procedure.     

消费结构升级与技术进步

文章将技术进步分解为技术效率与技术创新,并沿着成果转化、自主创新和技术模仿等路径,探讨了消费结构升级对技术进步的影响及条件。文章认为,消费结构升级引导着资源的配置方向;沿着不同的路径,消费结构升级带来了不同形式的技术进步。一方面,消费结构升级可促进科技成果转化,在生产前沿不变的条件下提高技术效率。当发明专利得到更好的保护时,生产者推动成果转化的积极性会提高,这时,可用的科技成果越多,消费结构升级越能推动技术效率提升。另一方面,消费结构升级还能推动企业突破现有的生产前沿,实现技术创新。由于小企业运营更灵活、竞争压力更大,在企业平均规模较小的市场结构中,消费结构升级更能推动技术创新;而政府主导的研发往往缺乏行业需求等信息,可能与消费者的实际需求脱节,因此,政府主导的研发投入越多,消费结构升级越难拉动技术创新。不仅如此,在开放条件下,企业还可以通过模仿去满足消费结构升级带来的新需求,进口越多,模仿的空间越大,这种模仿会提升技术效率,但可能会不利于技术创新。基于1999-2015年的省级面板数据,文章对上述假说进行了检验,结果表明上述论断成立。     

基于DEA的物流产业效率测度实证研究——基于我国31个省、市、自治区2008年投入产出数据

文章运用DEA的CCR模型和“超效率”(Super-Efficiency)模型,根据我国31个省、市、自治区2008年物流产业投入产出数据,利用Deap2.1和DEA-Sotver-J.V两个软件对物流产业投入产出效率进行实证研究.结果表明:以上海为代表的15个省市、自治区物流产业投入产出这到相对有效,以北京为代表16个省、市、自治区存在投入冗余,以内蒙古为代表的欠发达地区存在投入不足,产出效率偏低.同时,在非DEA有效省、市、自治区,表现出规模效率大于纯技术效率,进而影响了相对效率,文章对此进行投影分析,并以内蒙古为例,探讨了物流产业投入产出如何实施DEA效率改进.     

THE EFFECT OF ACCESS TO IMPROVED WATER SOURCES AND SANITATION ON ECONOMIC EFFICIENCY: THE CASE OF SUB‐SAHARAN AFRICAN COUNTRIES

This paper evaluates the effect of access to improved water sources and sanitation on 41 sub‐Saharan African (SSA) countries' economic efficiency and growth. For this reason data envelopment analysis (DEA), bootstrap techniques and probabilistic approaches are used. The empirical results indicate that SSA countries' economic efficiency is positively influenced by the access of population both on improved water sources and sanitation. Finally, when the provision of access to improved water sources is provided to more than 50% of the population, the positive effect on countries' economic efficiency is much greater compared with the effect of providing sustainable access to improved sanitation to the same proportion of population.     

以结果为导向的商贸物流服务水平评价

以结果为导向,建立商贸物流服务水平评价方法。通过引入模糊综合评价法对商贸企业物流服务水平进行评价,使企业对自身的商贸物流服务水平有更好的认识;通过引入数据包络分析方法对商贸物流服务的投入产出进行分析,可以促进投入的效率化。     

物流企业人才现状及对策研究——基于偏好约束锥企业文化DEA模型

在知识经济的今天,企业文化代表了企业品牌和核心竞争力的发展方向。从物流企业的人才现状入手,分析了物流企业人才培养中的主要问题,建立了偏好约束锥企业文化DEA模型,期望通过物流企业与企业文化间的博弈分析,找到改善物流企业人才现状的对策。