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This paper aims to investigate the impact of knowledge spillover effects (KSE) on employment levels using a sample of 245 Italian Innovative startup companies created as a result of the legislative changes of Law Decree 179/12 introduced in Italy in 2012.

This study uses a parsimonious model with the employment level as the dependent variable. The paper tests for the impact that the measures of industry competition, specialization and diversity have on the level of employment in the Innovative Startup sector in Italy. The data uses a sample of 245 firms, across 20 geographic regions in Italy for three economic sectors at the 2-Dig NAICS classification.

The empirical results provide evidence in favor of regional specialization as the main force to create and transfer knowledge resulting in increased employment; while higher levels of competition and a more diverse regional production bases result in lower firm employment levels. Employment levels for these firms are also time-dependent, and thus mainly determined at the time of the firm’s creation. This study also found a lack of technological convergence across regions, that are inherent regional differences are not bridged by knowledge spillover effects.

This paper is based on a sample of Italian Innovative Startups and consequently, further research with a potentially larger sample and, perhaps, a sample across countries could also shed some light on the issues relating to KSE and their effects on employment generation and firm formation.

From a practical point of view, the results indicate that regional disparity and limited transmission of KSE across regions remain an impediment to the flow of knowledge. This in turn may limit the development of entrepreneurial activities and further development of new firms. Practical implications regarding knowledge management indicate that firms face time and spatial challenges when developing, transferring and acquiring knowledge. In sum, the evidence points out in favor of existent and persistent regional heterogeneity in terms of economic and technological specialization as sources of employment.

This research adds to the empirical evidence focusing on the effects of knowledge spillover effects in the Innovative Startup segment of the economy. This research highlights the applicability of knowledge spillover effects accounting for levels of industry competition, specialization and diversity. We also provide a measure of cluster formation and concentration at the sectoral and regional levels. Thus, the research provides a better understanding under which conditions knowledge is more likely to have positive or negative effects on employment generation.

We study the implications of ownership and its induced incentives on firm survival on the stock market for young and high‐tech firms. Using a unique data set of all 341 firms listed on the Neuer Markt, the German equivalent of the NASDAQ, our results differ from studies on more traditional firms. Ownership by CEOs has no influence on firm survival when introducing measurements of human capital and intellectual property rights. This confirms assumptions that firms in the knowledge based industries differ in their governance structure from traditional firms.

The purpose of this paper is to provide policy and managerial implications required in solving the daunting problem of the existing low-entrepreneurial capital in Uganda.

A large-scale comprehensive survey using a sample of 11,105 small and medium enterprises (SMEs) from 40 high-growth towns was selected and undertaken from five regions of Uganda. The response rate was 40.5 per cent, translating into 4,498 usable questionnaires.

Results reveal that institutional framing, entrepreneurship human capital and entrepreneurial moral values predict entrepreneurship capital in Uganda. These results are presented and discussed in detail in this paper.

The study applied a cross-sectional approach to study behaviour, yet studying behaviour requires time. Therefore, there is need for scholars to undertake a follow up study to test the hypotheses using longitudinal data.

The paper provides implications for the review and development of supporting institutional frames for entrepreneurship, promoting generalized forms of human capital and entrepreneurial ethics moral values.

The motivation for the study is derived from the observation that the legal and regulatory framework in Uganda is biased against SMEs. This is manifested in the high-regulatory burden of registering and running enterprises in Uganda. For example, the cost of registering a business in Uganda is high. Legal proceedings in Uganda are inefficient, complex and costly only favouring firms with resources and connections. This may restrict enterprise development and increase the costs of running businesses, distort human capital and entrepreneurial moral values thereby affecting entrepreneurship capital.

The purpose of this paper is to examine the relative levels of multiple individual and environmental factors that influence self‐employment motivation in China, Mexico, and the USA and the effect of each factor on motivation for self‐employment in each country.

A survey was administered to 987 students at universities in the USA (n=535), Mexico (n=195), and China (n=257). Confirmatory factor analyses were conducted to assure measurement model fit. Hypotheses were tested using ANOVA tests and regression analyses.

Results indicate that: the USA has the individual and environmental factors most favorable to self‐employment; Mexico has the highest level of motivation for self‐employment; independence and risk taking are the best predictors of motivation for self‐employment in all three countries; the predictive capability of independence, risk taking, and social networks appears similar for China and the USA; and the predictive capability of informal institutions, government support, and legal support appears similar for China and Mexico.

In spite of abundant research on factors involving motivation for self‐employment, little research has tested relationships among sizable sets of these factors in different countries. This paper examines the effects of multiple individual and environmental factors on self‐employment motivation in China, Mexico, and the USA.

The decision to engage in entrepreneurial activities is grounded in personal characteristics (motivation) and external environmental factors. One of the main external factors might be the structure of the regional economic activity. Does a high share of the public sector affect positively regional entrepreneurship or vice versa? Does the diversity in regional economic activity is conducive for entrepreneurial development or the regional comparative advantage as expressed by spatial economies of scale offering more entrepreneurial opportunities? Even though economic analysis has extensively examined the impact of the public sector size on the overall national economic activity (the crowding out effect), this impact has not been into scrutiny at regional level on microeconomic issues, such as the decision to engage in entrepreneurial activities. The authors further investigate the relation between diversity and entrepreneurship at regional level. The paper aims to discuss these issues.

This paper uses data for 264 NUTS II EU regions. The time span of the data set is 1999-2008. The paper applies panel data analysis to explain the cross-time cross-section variation of the dependent variable: the self-employment share in total employment at regional level. In order to measure the existence of crowding out from public sector to regional entrepreneurship, the authors use the share of regional public sector gross value added over total regional gross value added. The diversity of the regional economic activity is measured by the Herfindahl-Hirschman Concentration Index across sectors.

The findings of the paper show that there is a negative correlation between public sector share and regional entrepreneurship. Hence, as at national level, the increase in the role of the public sector in the regional economic system crowds out regional entrepreneurship. The second finding indicates that the impact of the diversity of the regional economic activity on regional entrepreneurship is inconclusive.

The originality of this paper is due to the fact that the role of the public sector on regional economic phenomena, such as entrepreneurship, is examined for the first time. Also, the investigation of the relationship between diversity (vs localization economies) and entrepreneurship is performed using data for the full sample of regions of the European Union. The findings of the paper have significant policy implications since they provide useful inputs for the design of the regional development policy. The reduction of the public sector at regional level may contribute in entrepreneurial development and finally in regional economic growth and prosperity. Besides, the regional industrial policy should focus on the exploitation of the spatially constraint economies of scope in the framework of the Triple Helix model.

The purpose of this paper is to understand gender differences in entrepreneurial intentions as measured by perceived feasibility and perceived desirability, and to explore gender differences in perceptions of entrepreneurship education needs – in terms of programmes, activities or projects – to succeed in an entrepreneurial career from the university student's point of view.

Using data gathered from 3,420 university students in more than ten countries, and applying the Mann‐Whitney non‐parametric test, differences between genders and different intention groups were examined. To reduce the items regarding educational needs, factor analysis was used. Gender differences in educational needs were also examined via Mann‐Whitney Test.

The results confirm that compared to males, female students are less willing to start their own businesses. There are significant gender differences in terms of perceived feasibility and perceived desirability such that although they feel more supported by their families, females are less self‐confident, more tense, reluctant and concerned about entrepreneurship. In terms of entrepreneurial intention, there are fewer gender differences among students; however, differences relating to self‐confidence and family support still exist. Furthermore, students cited establishing entrepreneurial mentoring and an appropriate tutoring structure as the most needed entrepreneurial educational activity/program/project at an academic institution; this was rated higher by females compared to males.

The findings of this paper could help guide educators and policy makers in designing effective entrepreneurship programmes that are customized to respond to gender specific needs to increase entrepreneurial participation.

This study reveals the gender differences in perceived desirability and perceived feasibility which impact entrepreneurial intentions. Gender differences in the entrepreneurial programmes/activities/projects required at an academic institution to promote entrepreneurial participation among university students is also explored.

The purpose of this paper is to analyse the effects of some political measures on entrepreneurship to promote economic growth and employment, specifically, R & D policies, training, elimination of administrative barriers, access to finance support and promotion of entrepreneurial culture.

Seven hypotheses are tested developing a latent variables model with data from 13 European countries (Austria, Belgium, Denmark, Finland, France, Germany, Ireland, Italy, the Netherlands, Portugal, Spain, Sweden and UK) in 2012, using partial least squares estimation method.

Greater expenditure on R & D by governments and universities, public investment in education and measures to stimulate entrepreneurial culture have a positive effect on entrepreneurship. Furthermore, countries with complex legal systems which regulate the start-up of an economic activity and where access to credit is complicated, present lower levels of entrepreneurship. Societies with a greater number of innovative entrepreneurs present higher levels of entrepreneurial activity and economic performance. Finally, human capital and entrepreneurial activity positively affect economic performance in the case of the European countries studied in the sample.

The results obtained in the paper would facilitate the design of measures to stimulate to entrepreneurs and improve economic performance.

Several factors, qualitative and quantitative, have been considered in the analysis that they have not traditionally included in the analysis of the entrepreneurship behaviour taking into account the role played by the policy makers measures to improve such behaviour.

The purpose of this paper is to investigate student motivation for undertaking an entrepreneurship education programme and their ultimate employment aspirations through a novel data mining technique. The study considered what relationship certain motivation characteristics have to students’ aspirations, specifically in terms of their intention to be self-employed or employed.

The study examined enrolment data of 720 students on an entrepreneurial education programme, with work statuses of full-time, part-time or unemployed and have known aspirations to either employment or self-employment. The Classification and Ranking Belief Simplex (CaRBS) technique is employed in the classification analyses undertaken, which offers an uncertain reasoning based visual approach to the exposition of findings.

The classification findings demonstrate the level of contribution of the different motivations to the discernment of students with self-employed and employed aspirations. The most contributing aspirations were Start-Up, Interests and Qualifications. For these aspirations, further understanding is provided with respect to gender and student age (in terms of the association with aspirations towards self-employed or employed). For example, with respect to Start-Up, the older the unemployed student, the increasing association with employment rather than self-employment career aspirations.

The study identifies candidate motivation and the demographic profile for student's undertaking an entrepreneurial education programme. Knowing applicant aspirations should inform course design, pedagogy and its inherent flexibility and recognise the specific needs of certain student groups.

The study contributes to the literature examining motivations for undertaking entrepreneurship education and categorising motivating factors. These findings will be of value to both education providers and researchers.

The purpose of this paper is to look at various dimensions of entrepreneurship and the empirical models that try to explain the relationship between entrepreneurship and growth in cities for both developed (USA and Europe) and developing countries.

This paper provides an in‐depth and extensive review of the existing literature on entrepreneurship and economic growth in cities. In most empirical studies, the growth rate of employment or unemployment rate is used as the dependent variable to analyze the effect of entrepreneurship on development. The important independent variables other than entrepreneurship (new start‐ups) are localization, urbanization, level of education, age, industry structure (specialization vs competition), monopoly or competition. The economic units considered for cities are labor market areas (LMAs), standard metropolitan areas (SMAs) and consolidated metropolitan statistical areas (CMSAs). The majority of studies have utilized discrete dependent variable models such as Tobit or Probit to calculate the probability of the effect of entrepreneurship on economic growth. Other studies have applied ordinary least squares estimation to find the cross‐sectional variation of employment growth that accounts for entrepreneurial activities. Panel data are employed in a number of models to control for region‐specific and country‐specific fixed effects.

In this paper, four important dimensions of entrepreneurship are identified. First, for entrepreneurial studies on economic growth, cities are considered to be appropriate economic units rather than states or countries. Second, there are several definitions and measurements of entrepreneurship available in the literature. Hence, empirical models and their results may vary depending on the model specification. Third, the relationship between employment growth (a proxy for economic growth) and innovative activity is dynamic in nature and thus the problem of endogeneity needs to be addressed. And, finally, entrepreneurship has a spatial dimension and that characteristic must be incorporated into the urban and regional models of entrepreneurship. Three different types of urban models are chosen to reflect these four central dimensions of entrepreneurship. All three urban models confirm the hypothesis that there exists a statistically significant and positive relationship between entrepreneurship and growth in cities. However, the causality of the relationship is not well established.

A critical and in‐depth summary of existing quantitative work on entrepreneurship and economic growth in different cities is the original contribution of the paper.