本文对国际科学计量学杂志《Ｓｃｉｅｎｔｏｍｅｔｒｉｃｓ》１９７９－１９９１年的研究论文内容、栏目、作者及国别和编委及国别作了计量分析，揭示出科学计量学研究的重点、活动的中心及发展趋势，说明了学科带头人在发展科学计量学这门新兴学科中的作用。

国际刊物《Scientometrics》文献计量研究

Thank you very much for reading input output analysis foundations and extensions. As you may know, people have search hundreds times for their chosen readings like this input output analysis foundations and extensions, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some malicious virus inside their desktop computer.

Input Output Analysis Foundations And Extensions

Since the original Data Envelopment Analysis (DEA) study by Charnes et al. [Measuring the efficiency of decision-making units. European Journal of Operational Research 1978;2(6):429–44], there has been rapid and continuous growth in the field. As a result, a considerable amount of published research has appeared, with a significant portion focused on DEA applications of efficiency and productivity in both public and private sector activities. While several bibliographic collections have been reported, a comprehensive listing and analysis of DEA research covering its first 30 years of history is not available. This paper thus presents an extensive, if not nearly complete, listing of DEA research covering theoretical developments as well as “real-world” applications from inception to the year 2007. A listing of the most utilized/relevant journals, a keyword analysis, and selected statistics are presented.

Evaluation of research in efficiency and productivity:a survey and analysis of the first 30 years of scholarly literature in DEA

In this paper recent developments in the estimation of frontier functions and the measurement of efficiency are surveyed, and the potential applicability of these methods in agricultural economics is discussed. Frontier production, cost and profit functions are discussed, along with the construction of technical, allocative, scale and overall efficiency measures relative to these estimated frontiers. The two primary methods of frontier estimation, econometric and linear programming, are compared. A survey of recent applications of frontier methods in agriculture is also provided. (This abstract was borrowed from another version of this item.)

Recent Developments in Frontier Modelling and Efficiency Measurement

This paper addresses the scope for more integrated general analysis of diversity in science, technology and society. It proposes a framework recognizing three necessary but individually insufficient properties of diversity. Based on 10 quality criteria, it suggests a general quantitative non-parametric diversity heuristic. This allows the systematic exploration of diversity under different perspectives, including divergent conceptions of relevant attributes and contrasting weightings on different diversity properties. It is shown how this heuristic may be used to explore different possible trade-offs between diversity and other aspects of interest, including portfolio interactions. The resulting approach offers a way to be more systematic and transparent in the treatment of scientific and technological diversity in a range of fields, including conservation management, research governance, energy policy and sustainable innovation.

A General Framework for Analysing Diversity in Science, Technology and Society

Providing a systematic and comprehensive treatment of recent developments in efficiency analysis, this readable book makes available an intuitive yet rigorous presentation of advanced nonparametric and robust methods. This flexible toolbox can be used in theories based on the neoclassical theory of production and its alternatives, including evolutionary theories. The methods are complemented by empirical analysis of three different economic fields: scientific research, mutual funds industry and the insurance sector. The research demonstrates the utility of the toolbox for a wide range of economic issues, including the analysis of economies of scale and scope, dynamics of age and agglomeration effects, trade-offs in production and service activities, and explanations of efficiency differentials. Of interest to applied economists broadly, this book will also be of interest to those focused on Operations Research and/or Management Science.

Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications

This paper proposes a general formulation of a nonparametric frontier model introducing external environmental factors that might influence the production process but are neither inputs nor outputs under the control of the producer. A representation is proposed in terms of a probabilistic model which defines the data generating process. Our approach extends the basic ideas from Cazals et al. (2002) to the full multivariate case. We introduce the concepts of conditional efficiency measure and of conditional efficiency measure of order-m. Afterwards we suggest a practical way for computing the nonparametric estimators. Finally, a simple methodology to investigate the influence of these external factors on the production process is proposed. Numerical illustrations through some simulated examples and through a real data set on Mutual Funds show the usefulness of the approach.

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Introducing environmental variables in nonparametric frontier models : a probabilistic approach

The explanation of productivity differentials is very important to identify the economic conditions that create inefficiency and to improve managerial performance. In the literature two main approaches have been developed: one-stage approaches and two-stage approaches. Daraio and Simar (2005, J Prod Anal 24(1):93-121) propose a fully nonparametric methodology based on conditional FDH and conditional order-m frontiers without any convexity assumption on the technology. However, convexity has always been assumed in mainstream production theory and general equilibrium. In addition, in many empirical applications, the convexity assumption can be reasonable and sometimes natural. Lead by these considerations, in this paper we propose a unifying approach to introduce external-environmental variables in nonparametric frontier models for convex and nonconvex technologies. Extending earlier contributions by Daraio and Simar (2005, J Prod Anal 24(1):93-121) as well as Cazals et al. (2002, J Econometrics 106:1-25), we introduce a conditional DEA estimator, i.e., an estimator of production frontier of DEA type conditioned to some external-environmental variables which are neither inputs nor outputs under the control of the producer. A robust version of this conditional estimator is proposed too. These various measures of efficiency provide also indicators of convexity which we illustrate using simulated and real data.

/pdf/conditional-nonparametric-frontier-models-for-convex-and-10r7i4s2fe.pdf

Conditional nonparametric frontier models for convex and nonconvex technologies: A unifying approach

How to measure the impact of environmental factors in a nonparametric production model

Contents: 1. Theoretical Perspectives on University Strategy Andrea Bonaccorsi and Cinzia Daraio 2. Universities as Strategic Knowledge Creators Andrea Bonaccorsi and Cinzia Daraio PART I: TRANSVERSAL TOPICS 3. Changing Models and Patterns of Higher Education Funding: Some Empirical Evidence Benedetto Lepori, Martin Benninghoff, Ben Jongbloed, Carlo Salerno and Stig Slipersaeter 4. The Third Mission and the Entrepreneurial Magnus Gulbrandsen and Stig Slipersaeter 5. Efficiency and Productivity in European Universities. Exploring Trade-offs in the Strategic Profile Andrea Bonaccorsi, Cinzia Daraio and Leopold Simar PART II: NATIONAL PATTERNS 6. Patterns of Diversity in the Swiss Higher Education System Benedetto Lepori 7. University Autonomy and Structural Constraints in the Italian System Andrea Bonaccorsi and Cinzia Daraio 8. Cost Structure, Economies of Capacity Utilization and Scope in Swiss Higher Education Institutions Massimo Filippini and Benedetto Lepori 9. The UK Knowledge Production Function Gustavo Crespi 10. The Portuguese Public University System: On the Road to Improvement? Pedro Teixeira, Margarida F. Cardoso, Claudia S. Sarrico and Maria Joao Rosa 11. Expansion and Reorganization in the Spanish Higher Education System Adela Garcia-Aracil PART III: METHODOLOGICAL ISSUES, TOOLS AND DATA PLATFORM 12. Indicators for the Analysis of Higher Education Systems: Some Methodological Reflections Andrea Bonaccorsi, Cinzia Daraio and Benedetto Lepori 13. Variables for Analysing Higher Education Institutions in Europe Stig Slipersaeter 14. The University Benchmarker: An Interactive Computer Approach Peter Bogetoft, Harold O. Fried and Philippe Vanden Eeckaut

Cinzia Daraio

Papers

Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications

Introducing environmental variables in nonparametric frontier models : a probabilistic approach

Conditional nonparametric frontier models for convex and nonconvex technologies: A unifying approach

How to measure the impact of environmental factors in a nonparametric production model

Universities and Strategic Knowledge Creation. Specialization and Performance in Europe