Implications of variant efficiency measures for policy evaluations in UK higher education

Policy goals in UK higher education encourage the publicly funded universities to become more-specialised and larger in size without compromising output quality. Efficiency gains are expected to flow from this increased specialisation in accordance with universities’ comparative research and teaching strengths. Mergers to reap further gains from economies of scale are also being actively encouraged. Given this scenario, the paper investigates whether best-practice efficiency measurement based on data envelopment analysis (DEA) provides empirical support for the current policy goals. It also assesses whether such support is dependent on the specific type of efficiency measure used in the DEA modelling. This assessment finds that a selection of (nine) commonly used, variant efficiency measures generally support the current policy goals. The paper also uses the principal-agent framework to explore the issues involved in using computed DEA-based efficiency scores for policy evaluations and possible funding guidance in UK higher education. This highlights empirically how policy-makers and universities can have very different preferences about which efficiency measure is to be used for policy evaluations and possible funding guidance.     

A Property of Nash Equilibria in Repeated Games with Incomplete Information

We consider two-person non-zero-sum infinitely repeated games with lack of information on one side. The characterization of Nash equilibrium payoffs obtained by Hart allows for complex strategies, which are actually required by some equilibrium payoffs in some games. We show that appropriate one-shot public communication mechanisms make Nash equilibrium payoffs achievable by means of simple strategies. Furthermore, these mechanisms satisfy a notion of self-fulfillment.Journal of Economic LiteratureClassification Numbers: D82, C72.     

A substitution orbit model of competitive innovations

Successful innovation and diffusion of technology can be attributed to the identification of the orbit of emerging new technologies that complement or substitute for existing technologies. This dynamism resembles the co-evolution process in an ecosystem. In an ecosystem, in order to maintain sustainable development, the complex interplay between competition and cooperation, typically observed in predator-prey systems, create a sophisticated balance. Given that an ecosystem can be used as a masterpiece system, this sophisticated balance can provide suggestive ideas for identifying an optimal orbit of competitive innovations with complement or substitution dynamism.Prompted by such a sophisticated balance in an ecosystem, this paper analyzes the optimal orbit of competitive innovations and, on the basis of an application of Lotka-Volterra equations, it reviews substitution orbits of Japan's monochrome to color TV system, fixed telephones to cellular telephones, cellular telephones to mobile Internet access service, and analog to digital TV broadcasting. On the basis of substitution orbits analyses, it attempts to extract suggestions supportive to identifying an optimal policy option in a complex orbit leading to expected orbit.Key findings include policy options that are effective in controlling parameters for Lotka-Volterra equations leading to expected orbit.     

Tariffs, licensing and market structure

This paper challenges the conventional wisdom that exclusive owners of an advanced technology are always better off when producing as a monopolist than when competing against another firm. Competition against a less-efficient firm weakens the power that a host country can exert on the incumbent in the form of its tariff policy. We show that this gives a motive for a monopolist to license its technology to another foreign firm. A host country gains more from increased competition if it can induce the foreign incumbent to transfer technology to the host country firm. We show that the host country can do so by tariff commitment. We also discuss the implications of bargaining under licensing and Bertrand competition in the product market. Hence, this paper qualifies and extends the recent work of Kabiraj and Marjit [Protecting consumers through protection: The role of tariff-induced technology transfer. European Economic Review 47, 113-124].     

Evaluation of national foresight activities: Assessing rationale, process and impact

The paper addresses the question of what constitutes an appropriate evaluation strategy for national foresight activities in different situations. The variety of rationales for foresight is explored, ranging from a desire to set priorities through to participation-oriented goals and building new networks around common visions and strategies. A generational model of foresight is used to show the evolution of key evaluation issues. The generic motivations for evaluation of accountability, justification and learning are discussed in the context of foresight. Evaluation grounded in the concept of behavioural additionality and the systems failure rationale is shown to be more suited as a rationale for foresight as public policy.Assessing the effects of foresight requires an understanding that it is only one of several influences on public policy. To be effective it needs to be tuned into the strategic behaviour and cycles of policy and economic actors. Cases are presented of evaluation of foresight programmes in the United Kingdom, Germany and Hungary. It is concluded that there is no “one-size-fits-all” evaluation approach and that the method selected is conditioned by motivation, timing and the level of aggregation. Foresight cannot be fully evaluated independently from its context. Foresight is being strengthened by the emergence of rigorous and systematic knowledge to assist learning and improvement.     

Seasonal decomposition and forecasting of telecommunication data: A comparative case study

In this paper, forecasting models for the monthly outgoing telephone calls in a University Campus are presented. The data have been separated in the categories of international and national calls as well as calls to mobile phones. The total number of calls has also been analyzed. Three different methods, namely the Seasonal Decomposition, Exponential Smoothing Method and SARIMA Method, have been used. Forecasts with 95% confidence intervals were calculated for each method and compared with the actual data. The outcome of this work can be used to predict future demands for the telecommunications network of the University.     

The coevolution of firms and their knowledge environment: Insights from the pharmaceutical industry

What are the most effective learning strategies for firms given the characteristics of their knowledge environment? This paper addresses this question by documenting the major changes in the knowledge environment of the pharmaceutical industry, with a particular emphasis on the period since the emergence of biotechnology, and discussing the related changes in the learning strategies of established pharmaceutical firms. Both the historical analysis and a review of the empirical research on organizational learning and knowledge transfer reveal a strong emphasis of firms on external learning through interfirm collaborations and sourcing of external knowledge. This learning strategy seems to be driven by the speed, uncertainty, and dispersion of knowledge developments in the industry. Studying the connections between the knowledge environment and the effectiveness of organizational learning processes is important to understand organizational change and adaptation, and is an area of research that deserves further attention.     

Embodied technological change in supplier dominated firms

This paper identifies the role of new capital goods as the main external source of innovation for supplier dominated firms belonging to traditional consumer good industries. After a brief survey on the role of inter-industry technology flows, the results of a field study are presented concerning the amount of technological change embodied in the new machinery acquired during the 1980s by a sample of Italian manufacturing firms producing traditional consumer goods. We show that industries and firms differ in the quality of technological change embodied in (or allowed by) new capital goods, and that such differences depend on industry-specific and firm-specific factors. The former primarily refer to product characteristics, the latter mainly to the age and the affiliation of the firm with an industrial group. The final section contains some policy suggestions for fostering the diffusion of new machinery (embodying technological change) among small firms and traditional industries.     

Investigating the solvency of brazilian credit unions using a proportional hazard model

Abstract ** : Due to high interest rates and bank spreads, the number of credit unions in Brazil has increased over recent years. As financial institutions, these cooperatives need tools to signal impending financial problems. This paper focuses on one tool that can be used to evaluate credit union solvency: the Cox Proportional Hazards Model. A sample of 80 credit unions from the Brazilian state of Minas Gerais was selected to supply data. The analysis period is between December 2001 and June 2003. The results indicate that the relevant indicators for insolvency prediction are, in descending order of predictive ability, General Liquidity, Salary and Benefit Expenses, and the Loan/Equity Ratio. In general, results produced using the delineated theoretical model were in consonance with international literature .     

Diversity in foresight: Insights from the fostering of innovation ideas

Foresight activities have often provided support for objectives such as priority-setting, networking and consensual vision-building. In this paper, we draw upon complementary evolutionary perspectives and discuss these objectives from the viewpoint of diversity which may be vital in contexts characterized by technological discontinuities and high uncertainties. We also argue that although the scanning of weak signals has been widely advocated in such contexts, the solicitation of ideas for prospective innovations may provide more focused, action-oriented, and comparable reflections of future developments. For the analysis of such ideas, we develop a collaborative foresight method RPM Screening which consists of phases for the generation, revision, multi-criteria evaluation, and portfolio analysis of innovation ideas. We also report experiences from a pilot project where this method was employed to enhance the work of the Foresight Forum of the Ministry of Trade and Industry in Finland. Encouraging results from this project and other recent applications suggest that RPM Screening can be helpful in foresight processes and the development of shared research agendas.