Global Innovation Policy Index

Ranks fifty-five nations' strategies to boost innovation capacity: policies on trade, scientific research, information and communications technologies, tax, intellectual property, domestic competition, government procurement, and high-skill immigration

Models of technology and change in higher education: an international comparative survey on the current and future use of ICT in higher education

The aim of this study is to investigate which scenarios are emerging with respect to the use of ICT in higher education and how future developments can be predicted and strategic choices can be based on that. It seeks to answer the following questions:\ud What strategic responses do institutions make with respect to the use of ICT; Which external conditions and developments influence these choices; Which external and internal conditions and measures are taken in order to achievestrategic targets; What are the implications for technology use, teaching and learning processes and staff? \ud The study applies an international comparative methodology and is carried out in the Netherlands, Germany, Norway, the United Kingdom, Australia, Finland and the USA. Data were collected through Web-based questionnaires tailored to three different response groups: decision makers, support staff and instructors. In total 693 persons responded to the questionnaire. This implies that between 20 and 50 percent of the institutions in the various countries responded (institutional data were also gathered), with the exception of the USA where the response was much lower

espida Bibliography

This is the bibliography pulled together during research for the espida Project

The impact of labour market deregulation: lessons from the "Kiwi" and "Polder" models

Unemployment remains a major economic and social problem in many developed economies. This paper provides theoretical and empirical perspectives on the impact of labour market deregulation as a means of combatting unemployment and of enhancing competitive wage determination. The paper focusses specifically on The Netherlands and New Zealand, two small open economies in which unemployment rates reduced to half their respective previous peaks during the last decade. The labour market policies that contributed to this outcome are referred to as the "Polder" model and the "Kiwi" model respectively. Despite some similarities, there are significant differences between the models. These are highlighted in the paper. Methodological issues regarding empirical tests of the impact of labour market deregulation measures are also addressed. The paper concludes with a survey of remaining research issues.

When the Future is not what it used to be: Lessons from the Western European Experience to Forecasting Education and Training in Transition Economies

In an era of rapid technological change, information exchange, and emergence of knowledge-intensive industries it is critical to be able to identify the future skill needs of the labour market. Growing unemployment in EU member states and pre-accession countries in Eastern Europe combined with technological changes which make the skills of a significant number of workers obsolescent each year demand adequate knowledge of medium- and long-term demand for specific skills. Some EU members states have developed employment forecasting methods to identify future skill requirements which take account of the sectoral, occupational, and educational and training factors which influence supply and demand in the labour market for skills. A number of countries in Eastern Europe which are preparing to join the EU are interested in developing employment forecasting models that would provide them with similar information relating to skills. Taking account of the requirements of the Single European Market and increasing international mobility, it is desirable that the pre-accession countries should develop models which, if possible, are comparable with existing methods of forecasting training and qualification needs in existing member states of the EU. This task requires regular medium-term forecasts which will extend the time horizon of decision makers beyond the current economic cycle, be applicable to the whole economy, allow speedy adjustment to changing circumstances, and which will take account of relevant factors such as investment plans, output and labour productivity forecasts, and technological change. The objective of this paper is to provide a summary of existing methods and data sets used to forecast education and training needs in four members of the European Union, in order to motivate similar work in three pre-accession countries. We first provide a detailed account of the different approaches to forecast education and training needs in France, Germany, Ireland and The Netherlands. For each of these countries, we consider the labour market data on which employment forecasts are based and the current methods in use, examine how data reliability and accuracy of forecasts are dealt with, and discuss the dissemination and usage of forecast information generated by those systems. We then look at the same range of issues for three pre-accession Central European countries (Czech Republic, Poland and Slovenia.) The paper concludes by suggesting a number of needed actions in preparation for developing an approach to forecasting education and training needs in the three pre-accession countries.http://deepblue.lib.umich.edu/bitstream/2027.42/39650/3/wp265.pd

Why Are Farmers Going Multifunctional?

The European farm model is aimed at stimulating and facilitating multifunctional agriculture. This paper presents the results of research into the factors determining the adoption of multifunctional activities. In the paper survey results from 495 farms, spread all over the Netherlands, were used. Binomial logit models were estimated for multifunctional activities in general and four specific activities. Trust in the government is an important explaining factor for participation in nature conservation and recreation, however, less important for services and selling products. Location of the farm is important for nature conservation, services, and recreation. Attitude variables are particularly important for participation in nature conservation and day and stay recreation.multifunctionality, land use, agricultural policy, Agricultural and Food Policy, Land Economics/Use, G18,