Assessing R&D efficiency using a two-stage dynamic DEA model: A case study of research institutes in the Chinese Academy of Sciences

Various studies have been devoted to the evaluation of the research and development (R&D) performances of universities and research institutes. However, existing studies tend to focus on static systems, that is, systems with no intertemporal effect. To tackle this issue, this study attempts to assess relative R&D efficiency of institutes from a dynamic perspective. The unified two-stage model proposed by Kao (2017) made a contribution to combining division efficiencies in the multiplier form with frontier projections in the envelopment form in a unified framework. We develop his model in a dynamic framework into which the effects of carry-over activities are embedded across the period. If the dynamic effects in the efficiency measures are not considered, the results will be biased. This is one of the few studies to examine dynamic effects within the framework of the R&D process. Our analysis is based on samples of 17 research institutes in the Chinese Academy of Sciences over the period of 2012–2015. When compared with the proposed data envelope analysis (DEA) model, results show that the static DEA model may underestimate the R&D efficiency scores. The institutes experienced significant improvements in system efficiency, mainly due to the improvements in transfer efficiency. However, there is still much room for improvement in transferring scientific and technological (S&T) achievements. We also find that the resource scale played an important role in influencing basic research. Finally, the projections of inefficient institutes indicate that most institutes had insufficient carry-over inputs (newly approved projects and management cost) based on the average four-year values, and existing slack resources for managers to improve the future performance.     

Measuring journal performance for multidisciplinary research: An efficiency perspective

One of the flaws of the journal impact factor (IF) is that it cannot be used to compare journals from different fields or multidisciplinary journals because the IF differs significantly across research fields. This study proposes a new measure of journal performance that captures field-different citation characteristics. We view journal performance from the perspective of the efficiency of a journal's citation generation process. Together with the conventional variables used in calculating the IF, the number of articles as an input and the number of total citations as an output, we additionally consider the two field-different factors, citation density and citation dynamics, as inputs. We also separately capture the contribution of external citations and self-citations and incorporate their relative importance in measuring journal performance. To accommodate multiple inputs and outputs whose relationships are unknown, this study employs data envelopment analysis (DEA), a multi-factor productivity model for measuring the relative efficiency of decision-making units without any assumption of a production function. The resulting efficiency score, called DEA-IF, can then be used for the comparative evaluation of multidisciplinary journals’ performance. A case study example of industrial engineering journals is provided to illustrate how to measure DEA-IF and its usefulness.     

基于DEA方法的网络信息资源配置效率研究

帕累托最优在理论上可以作为网络信息资源配置效率的衡量标准,但在实践中却难以实施。运用数据包络分析(DEA)方法能测度网络信息资源配置效率的相对有效性,并且指出改善的目标和途径,为网络信息资源调控的政策制订和管理实践提供依据。     

基于超效率DEA的高校图书馆评价体系研究

在对高校图书馆的实际运行情况进行调查的基础上,遵循科学合理、系统优化和通用可行的基本理念和原则,建立以投入和产出为导向的高校图书馆绩效评价指标体系。依据所建立的指标体系搜集10所高校的相关数据,并基于DEA理论对10所高校图书馆的绩效进行评价和分析。     

基于DEA的我国网络信息资源配置效率评价*

首先分析数据包络分析方法,用于网络信息资源配置效率评价的适用性,从投入和产出角度,探索性地设计出DEA指标体系;然后搜集数据,进行规范化处理;最后构建和运行DEA模型,测算出我国29个省市网络信息资源配置的相对效率和总体状况,并展开相应的分析。     

基于复杂网络理论的高校图书馆借阅网络研究简

文章以图书馆研究生读者的借阅信息构建的网络为研究对象,开展图书馆借阅网络的研究,着重研究了图书馆借阅网络的复杂网络特性,对图书馆借阅网络的社区划分进行深入分析,提出推行图书馆个性化推荐服务。     

媒体融合背景下中国高校学报发展现况分析及对策研究

采用文献计量分析、网络查询、电话问询等方法逐一调研中国高校自然科学学报媒体融合发展现况,为新媒体形势下高校学报改革提供决策依据.调研发现,中国高校学报媒体融合发展仍处于起步阶段,与大众传媒相比,其集团化、一体化程度低,数字化平台建设缓慢,“物理融合”阶段尚未完成,参与媒体推介积极性不高,且受不良论文代写群体干扰严重.认为当务之急必须首先着手解决高校学报媒体机构的初步融合,为高校学报可持续发展奠定基础.     

基于DEA的我国区域网络发展投入产出效率评价

选取我国31个省、市、自治区作为决策单元,从各地区网络发展投入和产出的角度出发,建立我国区域网络发展投入产出指标体系,运用数据包络分析法对各决策单元技术有效性、规模有效性及整体有效性进行测度,并对非DEA有效决策单元投入产出进行分析。     

高校研发创新效率的测度和评价研究

文章采用经典的随机前沿分析（SFA）和数据包络分析（DEA）两种方法对我国大陆31 省市的高校研发创 新效率进行测度和评价。在分析研究过程中,以专利授权数为创新产出变量,以研发人力和研发经费作为创新投入变 量。分析结果表明：我国高校研发创新效率整体水平偏低,但随着时间的推移逐渐提高;采用SFA法测度的结果与采 用DEA法测度的结果相比更小且较为稳定;两种方法测度出的创新效率在数值上有一定差异,但在排序上具有明显的 一致性。     

中国高校医学期刊刊网融合实践探索——以中国高校医学期刊网为例

在高校期刊体制改革和新媒体融合的背景下,占国内医学期刊1/3的高校医学期刊面临着巨大的机会和挑战.中国高校科技期刊研究会医学期刊专业委员会以200多家会员期刊为研究和服务对象,开拓创新,组建了"中国高校医学期刊网".网站上线了以《中国高校医学期刊·继教专刊》为代表的系列专题教材,初步形成共建共享优质医学论文资源的高校医学期刊协同合作集群.同时,网站开发了"协同审稿投稿在线办公系统",达成一个作者自选刊物、刊物自选稿件的效应平台.中国高校医学期刊网扩大了"中国高校医学期刊"的品牌影响力,为高校科技期刊的新媒体融合发展研究积累经验和提供新思路.     

网络环境中高校科技期刊的学科服务体系构建

学科服务是高校科技期刊服务职能延伸与发展的重要形式。通过分析网络环境中高校科技期刊学科服务的3大特点,提出高校科技期刊学科服务的路径,并在此基础上探索逐步实现高校科技期刊学科服务体系构建的措施。     

国际出版集团进军中国期刊市场对高校英文版科技期刊的影响

随着中国出版物市场的逐步开放,国际出版集团纷纷进军中国期刊市场.高校英文版科技期刊存在着综合性、影响力低和读者少等问题.与国际出版集团合作,由它们代理海外的发行,可以扩大读者和作者的范围,提高期刊的国际影响力.高校英文版科技期刊自身的特点决定了在它们与国际出版集团合作中重扩大影响轻经济收益的现状.指出在与国际出版集团的合作中,应积极应对,讲求诚信,谋求双赢.     

我国高校信息素质教育研究论文分析与评价

本文对1997-2006年我国高校信息素质教育研究论文进行了分析.重点探讨了高校信息素质教育研究论文的主题,包括:高校信息素质教育与图书馆的关系、信息素质教育的内容与方法、信息素质教育存在的问题、信息素质教育的创新及其创新模式.在此基础上,分析了高校信息素质教育的研究走势.     

基于数据包络分析的图书馆效率评价方法的修正与调适

数据包络分析具有评价客观、算法简单及评价结果全面的特点,适用于图书馆的效率评价。但是在使用数据包络分析过程中,由于其固有的规定性及图书馆效率评价的特殊性,需要对评价指标的确定、数学模型的选择及数据包络分析用于图书馆效率评价的条件作出修正与调适,以保证评价结果的准确性与指导性。     

省域公共图书馆绩效的DEA测算与评价

为优化公共图书馆资源的配置,需要对其资源投入产出的相对效率进行测算和评价。利用数据包络分析（DEA）评价方法,对我国31个省域公共图书馆绩效进行了测算与分析,可以为地区公共图书馆资源利用效率的提高和绩效比研究提供决策支持信息。     

中医院校教师信息素养提升策略

介绍了高校教师信息素养的内涵与构成,调查了当前中医院校教师的信息素养状况,提出了提升高等中医院校教师信息素养的策略。     

改革开放以来高校科技期刊统计分析与前瞻

采用文献统计与分析法,对1978-2013年间的高校科技期刊发展概况进行考查,并从其创刊类型、出版地域、主办机构、创刊年份、刊期与语种等方面加以分析.结果表明:在改革开放以后新创办的1 020种高校科技期刊中,工、农、医、自然综合类学科占总数的81.9％;北京、湖北、江苏、上海、陕西等10省市创办期刊数量占全国的57.8％;1979-1988年创刊数量达到559种,占到一半以上,是高校科技期刊增长速度最快的时期,90年代后增长速度放缓,转而调整办刊思路.我们认为,进入新世纪,我国高校科技期刊规模基本成型,必须由规模扩张向内涵发展转型,积极推进“走出去”战略,走数字化出版道路,全面提升我国高校科技期刊的竞争力.     

基于DEA方法的我国农村信息资源配置效率评价研究

以农村信息资源作为研究对象,以数据包络分析(DEA)为方法,从投入和产出的角度对农村信息资源配置的效率进行评价。首先借鉴现有的信息化指标体系设计出DEA指标体系,然后利用主成分分析方法为指标赋予权重,通过DEA模型的运算,得到我国31个省、市、自治区农村地区信息资源配置的效率和总体情况,最后进行相应的分析。     

From conventional governance to e-democracy: Tracing the evolution of e-governance research trends using network analysis tools

The adoption of e-governing practices has revolutionised the administrative machinery of governments worldwide by improving efficiency, transparency, and accountability. Researchers and administrators often aim to identify emerging research fronts and the timeline of the evolution to forecast and implement technology. In this work, we systematically investigate the trajectory of the global evolution and emerging research fronts as well as the prospects for e-governance using citation network analysis. The growth curve fitted to the number of articles published per year shows that the research activities are still in the ascendant phase. We visualise the global main path of the citation network and investigate the patterns to trace the knowledge diffusion path, major milestones, and emerging research fronts. The cluster analysis identifies the major topics of research as administration and information system management, e-governance framework design, efficiency or quality evaluation, and the application of social networks and open data leading to e-democracy. The adoption of open data and social networking for user interactions with government that leads to participatory governance are the emerging research trends. We also identify research that can have a future impact based on network parameters. The results contribute to the literature by setting the focus of future research, and assisting administrators in selecting suitable models and methodologies, and manufacturers with the development of required technical devices suitable for the upcoming phase of symbiosis.     

The e-government research domain: A triple helix network analysis of collaboration at the regional,country, and institutional levels

This study introduces a hybrid approach (i.e., a social network analysis technique and triple helix indicators) to study certain aspects of the e-government (EG) domain that would otherwise remain hidden when using conventional analytic tools. Particularly, we provide network analysis of the EG research domain by focusing on the network collaboration between regions, nations and institutions. We collected and analyzed 1091 scholarly papers which were classified as being about “e-government” by the Web of Science database. The results indicate that hybrid method can be used to understand certain network-level structures and patterns in the EG domain which are beyond the scope of the predominantly-used systematic literature review (SLR) method. Particularly, the hybrid method is useful in understanding collaboration patterns between countries, institutions and regions in the EG domain, identifying key players by studying their network properties (i.e., degree centralities); and in understanding the pattern of relations among universities, industries, and government. The implications of these results in terms of research and practice, and study limitations are discussed.