The Impact of Entrepreneurship Education in Higher Education: A Systematic Review and Research Agenda

Using a teaching model framework, we systematically review empirical evidence on the impact of entrepreneurship education (EE) in higher education on a range of entrepreneurial outcomes, analyzing 159 published articles from 2004 to 2016. The teaching model framework allows us for the first time to start rigorously examining relationships between pedagogical methods and specific outcomes. Reconfirming past reviews and meta-analyses, we find that EE impact research still predominantly focuses on short-term and subjective outcome measures and tends to severely underdescribe the actual pedagogies being tested. Moreover, we use our review to provide an up-to-date and empirically rooted call for less obvious, yet greatly promising, new or underemphasized directions for future research on the impact of university-based entrepreneurship education. This includes, for example, the use of novel impact indicators related to emotion and mind-set, focus on the impact indicators related to the intention-to-behavior transition, and exploring the reasons for some contradictory findings in impact studies including person-, context-, and pedagogical model-specific moderator

On the quality and impact of residential energy performance certificates

This paper addresses quality and impact issues concerning Energy Performance Certificates (EPC) by means of a dataset based upon the Swedish EPCs for single-family houses. Assuming that the quality of the certificates plays an important role for their impact, we examine to what extent various characteristics of the firms and experts issuing the certificates are influencing their assessments of energy consumption and energy conservation. Exploiting the information on biased assessments, we also investigate the relationship between the transaction price of a house and its EPC label. Doing so, we distinguish the attributes that can be observed by visiting the house and those that a buyer only can inform herself about through the EPC. Applying regression analyses we find that firm and expert characteristics matter quite a lot implying that the EPC-quality could be improved considerably by increasing the inter-rater reliability. The results also show that the price impact of the energy label is related to information that the buyers can obtain by visiting the house rather than to information uniquely provided by the EPCs. Hence, the EPCs per se are unlikely to stimulate energy conservation through the price mechanism. (C) 2016 Elsevier B.V. All rights reserved

Location and spatial clustering of artists

Surveys of artists' location choices show that they disproportionately reside in large cities. This paper introduces a model that attempts to explain this urban preference. The model includes four factors: access to other artists; access to consumer demand; access to service jobs; and housing affordability. These four factors are combined in a spatial equilibrium model. An equilibrium spatial distribution of artists is derived from the model and is correlated with the actual distribution among Swedish municipalities. Subsequently, the model is used for an econometric estimation of factor effects. The results show that access to other artists and local access to service jobs are important localization factors. Educated labor used as a proxy for consumer demand has a significant effect on artists' location choices. © 2013 Elsevier B.V

Complexity, scientific creativity and clustering

Industrial research investments and new product development have been the key factors behind economic growth in recent decades. They have also been the most important causes of the changing comparative advantages of regions and countries. An aim of this paper is to generate some theoretical insights into the mechanisms behind the spatial clustering of research-dependent production and the impact of the increasing complexity of products and production technologies. We claim that increases in product complexity in ICT, biomedicine and other high-tech industries necessitate closer co-operation with basic science and interdisciplinary research in universities. At the same time, statistics on the allocation of R&D investments between industry and universities show that in most countries the share going to university-based research is quite low. This is especially marked in the cases of South Korea and Japan. Policy conclusions are formulated. First, national governments should increase the support of scientific research, providing a better knowledge infrastructure of industrial R&D investments. Second, increasing scientific complexity implies more support for projects with secured scientific diversity and with a leadership that can integrate different fields of science. Third, there is a need for strategy of drastic increases of science and R&D investments in southern and eastern European in order to avoid further widening of the gap between slow and fast growth regions of Europe