Proof over promise: towards a more inclusive ranking of Dutch academics in Economics & Business

The Dutch Economics top-40, based on publications in ISI listed journals, is - to the best of our knowledge - the oldest ranking of individual academics in Economics and is well accepted in the Dutch academic community. However, this ranking is based on publication volume, rather than on the actual impact of the publications in question. This paper therefore uses two relatively new metrics, the citations per author per year (CAY) metric and the individual annual h-index (hIa) to provide two alternative, citation-based, rankings of Dutch academics in Economics & Business. As a data source, we use Google Scholar instead of ISI to provide a more comprehensive measure of impact, including citations to and from publications in non-ISI listed journals, books, working and conference papers. The resulting rankings are shown to be substantially different from the original ranking based on publications. Just like other research metrics, the CAY or hIa-index should never be used as the sole criterion to evaluate academics. However, we do argue that the hIa-index and the related citations per author per year metric provide an important additional perspective over and above a ranking based on publications in high impact journals alone. Citation-based rankings are also shown to inject a higher level of diversity in terms of age, gender, discipline and academic affiliation and thus appear to be more inclusive of a wider range of scholarship

Proof over promise: towards a more inclusive ranking of Dutch academics in Economics & Business

The Dutch Economics top-40, based on publications in ISI listed journals, is - to the best of our knowledge - the oldest ranking of individual academics in Economics and is well accepted in the Dutch academic community. However, this ranking is based on publication volume, rather than on the actual impact of the publications in question. This paper therefore uses two relatively new metrics, the citations per author per year (CAY) metric and the individual annual h-index (hIa) to provide two alternative, citation-based, rankings of Dutch academics in Economics & Business. As a data source, we use Google Scholar instead of ISI to provide a more comprehensive measure of impact, including citations to and from publications in non-ISI listed journals, books, working and conference papers. The resulting rankings are shown to be substantially different from the original ranking based on publications. Just like other research metrics, the CAY or hIa-index should never be used as the sole criterion to evaluate academics. However, we do argue that the hIa-index and the related citations per author per year metric provide an important additional perspective over and above a ranking based on publications in high impact journals alone. Citation-based rankings are also shown to inject a higher level of diversity in terms of age, gender, discipline and academic affiliation and thus appear to be more inclusive of a wider range of scholarship

How to make career advancement in Economics more inclusive

Men are overrepresented in senior academic positions in Economics (Teunissen and Hogendoorn, 2018). While gender inequality in ­academia is universal (Miller et al., 2015), it is especially pronounced in the Economics discipline (Leslie et al., 2015) and in the Netherlands in particular (Miller et al., 2015). In nearly four decades, only six women have ever made it into the ESB Economics Top 40. It is important to note that promoting gender equality is not just a matter of fairness; it is – as should be of interest to Economists – also a matter of ­efficiency. For instance, Hsieh et al. (2018) have argued that no less than a quarter of the economic growth in the US between 1960 and 2010 can be attributed to what they call “the improved allocation of talent” of members of underrepresented groups. For the Netherlands specifically, The McKinsey Global Institute recently calculated that greater gender parity in labor force participation, STEM fields, and senior positions, would add more than 100 billion euros to Dutch GDP (McKinsey, 2018). To shed light on this phenomenon and to present insight into possible interventions, we provide a conceptual and empirical analysis of the factors underlying gender differences in career advancement in Economics, drawing on the latest research in the behavioural sciences

The Americanization of European Higher Education and Research

Over the past two decades there has been a substantial increase in the mobility ofstudents in Europe, while also research has become much more internationallyoriented. In this paper we document changes in the structure of research and highereducation in Europe and investigate potential explanations for the strong increase inits international orientation. While higher education started to grow substantiallyaround 1960, only a few decades later, research and higher education transformedgradually to the American standard. Decreased communication costs are likely causesfor this trend. Th is transformation is most clearly revealed in the change of languageused in research from the national language, Latin, German and French to English.Smaller language areas made this transformation earlier while there are also cleartiming diff erences between research fi elds. Sciences and medicine tend to switch toEnglish fi rst, followed by economics and social sciences, while for law and arts onlythe fi rst signs of such a transformation are currently observed. Th is suggests thatreturns to scale and the transferability of research results are important infl uences inthe decision to adopt the international standard.education, training and the labour market;

The Americanization of European Higher Education and Research

Over the past two decades there has been a substantial increase in the mobility of students in Europe, while also research has become much more internationally oriented. In this paper we document changes in the structure of research and higher education in Europe and investigate potential explanations for the strong increase in its international orientation. While higher education started to grow substantially around 1960, only a few decades later, research and higher education transformed gradually to the American standard. Decreased communication costs are likely causes for this trend. This transformation is most clearly revealed in the change of language used in research from the national language, Latin, German and French to English. Smaller language areas made this transformation earlier while there are also clear timing differences between research fields. Sciences and medicine tend to switch to English first, followed by economics and social sciences, while for law and arts only the first signs of such a transformation are currently observed. This suggests that returns to scale and the transferability of research results are important influences in the decision to adopt the international standard.higher education, research, Americanization

Technical efficiency analysis and decomposition of productivity growth of Spanish olive farms

The concept of technical efficiency is critical to measuring the firm performance, determining the degree of innovative technology adoption and the overall production efficiency. Traditionally, technical efficiency has been measured as the ratio of observed output to maximum feasible output. Stochastic frontier models have been widely utilized to assess this issue. Our research evaluates technical efficiencies in the Spanish olive sector. Specifically, the main objective of this study is to estimate a stochastic frontier production model by using a farm- level panel of data. The non- negative technical efficiency effects are assumed to be a function of firm- specific variables. A sample of Spanish farms observed from 1999 to 2002 is obtained from the FADN dataset and used in the estimation of the model. Maximum- likelihood methods are applied in the estimation of the parameters of the model. A primal approach is used to decompose Total Factor Productivity (TFP) growth. Results indicate that farm location, age of manager, tenure regimes of land and whether the farm has adopted organic farming techniques affect efficiency levels . Technical efficiency change, allocative efficiencies and scale effects are found to be the main sources of TFP growth, while technical change seems to be of minor importance. Results also suggest that Spanish olive farms are less efficient relative to other EU farms. This suggests that improvements in the Spanish olive productive capacity after the accession to the EU were not fully implemented in the period of analysis. This may be due to a decline in olive farm incomes as a result of a decline in both public subsidies and in output prices after the mid 1990s.Crop Production/Industries, Productivity Analysis,

Competitive balance in european football: comparison by adapting measures: national measure of seasonal imbalance and Top 3

1. Concept of competitive balance 2. Measures of competitive balance 3. Data, used measures and results 4. Conclusions

Youth Employment in Europe: Institutions and Social Capital Explain Better than Mainstream Economics

Why did employment growth – high in the last decade – take place at the expense of young workers in the countries of Central and Southern Europe? This is the question addressed in this paper. Youth unemployment has approached or exceeded 20% despite a variety of factors, common to most EU countries. According to neo-classical economics all would be expected to exert a positive impact on its evolution: population ageing and the demographic decline, low labor cost of young workers, flexibility of working arrangements, higher educational attainment, low unionization of young workers, early retirement practices of workers 50+. But neither seems to provide a convincing explanation. Historically based institutions and political tradition, cultural values, social capital – factors that go beyond the standard explanation of economic theory – provide a more satisfying interpretation.youth employment, unemployment, social capital, institutions