Some New Evidence on the Determinants of Large- and Small-Firm Innovation

Empirical analyses presented by Acs and Audretsch suggest differences in the market structure determinants of innovation between large and small firms in U.S. manufacturing. The evidence they offer is ambiguous. By using data for a different country (The Netherlands), a different measure of innovation and a different aggregation level, we offer new evidence, allowing a revaluation of the findings for the U.S. material. Moreover, the influence of the market structure determinants does not appear to differ between a period of sluggish growth (1983) and one of relatively high growth (1989).     

Entrepreneurship and its determinants in a cross-country setting

The relative stability of differences in entrepreneurial activity across countries suggests that other than economic factors are at play. The present paper offers some new thoughts about the determinants of entrepreneurial attitudes and activities by testing the relationship between institutional variables and cross-country differences in the preferences for self-employment as well as in actual self-employment. Data of the 25 member states of the European Union as well as the US are used. The results show that country specific (cultural) variables seem to explain the preference for entrepreneurship, but cannot explain actual entrepreneurship. The present paper also introduces the remaining four papers of the special issue of the Journal of Evolutionary Economics, which center around the theme Entrepreneurship and Culture.

Postmaterialism influencing total entrepreneurial activity across nations

The relative stability of differences in entrepreneurial activity across countries suggests that other than economic factors are at play. The objective of this paper is to explore how postmaterialism may explain these differences. A distinction is made between nascent entrepreneurship, new business formation and a combination of the two, referred to as total entrepreneurial activity, as defined within the Global Entrepreneurship Monitor (GEM). The model is also tested for the rate of established businesses. The measure for postmaterialism is based upon Inglehart’s four-item postmaterialism index. A set of economic, demographic and social factors is included to investigate the independent role postmaterialism plays in predicting entrepreneurial activity levels. In particular, per capita income is used to control for economic effects. Education rates at both secondary and tertiary levels are used as demographic variables. Finally, life satisfaction is included to control for social effects. Data from 27 countries (GEM, World Values Survey and other sources) are used to test the hypotheses. Findings confirm the significance of postmaterialism in predicting total entrepreneurial activity and more particularly, new business formation rates.

Determinants of job satisfaction: a European comparison of self-employed and paid employees

The job satisfaction of self-employed and paid-employed workers is analyzed using the European Community Household Panel for the EU-15 covering the years 1994–2001. We distinguish between two types of job satisfaction: job satisfaction in terms of type of work and job satisfaction in terms of job security. Findings from our generalized ordered logit regressions indicate that self-employed individuals as compared to paid employees are more likely to be satisfied with their present jobs in terms of type of work and less likely to be satisfied in terms of job security. The findings also provide many insights into the determinants of the two types of job satisfaction for both self-employed and paid-employed workers.     

Entrepreneurship and attention deficit/hyperactivity disorder: a large-scale study involving the clinical condition of ADHD

Small Business Economics - A growing conversation has emerged linking ostensibly dark or pathological individual-level characteristics to entrepreneurship. Attention deficit/hyperactivity disorder...     

Success and Risk Factors in the Pre-Startup Phase

Why does one person actually succeed in starting a business, while a second person gives up? In order to answer this question, a sample of 517 nascent entrepreneurs (people in the process of setting up a business) was followed over a 3-year period. After this period, it was established that 195 efforts were successful and that 115 start up efforts were abandoned. Our research focuses on estimating the relative importance of a variety of approaches and variables in explaining pre-start-up success. These influences are organized in terms of Gartner’s (1985) framework of new venture creation. This framework suggests that start-up efforts differ in terms of the characteristics of the individual(s) who start the venture, the organization that they create, the environment surrounding the new venture, and the process by which the new venture is started. Logistic regression analyses are run for the sample as a whole as well as for subgroups within the sample, namely for those with high ambition versus low ambition and for those with substantial versus limited experience. The results point to the importance of perceived risk of the market as a predictor of getting started versus abandoning the start up effort.     

Entrepreneurial aspirations, motivations, and their drivers

Several drivers of entrepreneurial aspirations and entrepreneurial motivations are investigated using country-level data from the Global Entrepreneurship Monitor (GEM) for the years 2005 and 2006. We estimate a two-equation model explaining aspirations using motivations and socioeconomic variables, and explaining motivations using socioeconomic variables. We find that countries with a higher incidence of increase-wealth-motivated entrepreneurs tend to have a higher prevalence of high-job-growth and export-oriented entrepreneurship and that a country’s level of social security relates negatively to the prevalence of innovative, high-job-growth, and export-oriented entrepreneurship. We also find that the increase-wealth motive mediates the relationship between socioeconomic variables and entrepreneurial aspirations.

The Effect of Business Regulations on Nascent and Young Business Entrepreneurship

We examine the relationship, across 39 countries, between regulation and entrepreneurship using a new two-equation model. We find the minimum capital requirement required to start a business lowers entrepreneurship rates across countries, as do labour market regulations. However the administrative considerations of starting a business – such as the time, the cost, or the number of procedures required – are unrelated to the formation rate of either nascent or young businesses. Given the explicit link made by Djankov et al. [Djankov et al. 2002, ‹The Regulation of Entry’, Quarterly Journal of Economics 117(1), 1–37] between the speed and ease with which businesses may be established in a country and its economic performance – and the enthusiasm with which this link has been grasped by European Union policy makers – our findings imply this link needs reconsidering. Prepared for: Small Business Economics (2007), Special issue GEM conference 2005     

Entrepreneurial exit and entrepreneurial engagement

This paper investigates whether and how a recent entrepreneurial exit relates to subsequent engagement. We discriminate between six levels of engagement including none, potential, intentional, nascent, young and established entrepreneurship. We use individual-level data for 24 countries that participated in the Global Entrepreneurship Monitor during 2004, 2005 and 2006 (some 350,000 observations). Our findings indeed show that a recent exit decreases the probability of undertaking no entrepreneurial activity, whereas it substantially increases the probabilities of being involved in all other engagement levels. Investigating the conditions under which an exit increases engagement in entrepreneurial activities, we find that the probability of entrepreneurial engagement after exit is higher for males, for persons who know an entrepreneur and for persons with a low fear of failure. Educational attainment does not seem to be relevant. Moreover, there exists large cross-country variation in the probability of entrepreneurial engagement after exit.