Institutions and female entrepreneurship

This paper compares the impact of institutions on men and women’s decisions to establish new business start-ups between 2001 and 2006. We use data from the Global Entrepreneurship Monitor survey (GEM) which cover at least 2,000 individuals per year in each of up to 55 countries and have merged it with country-level data, from the World Bank, Economist Intelligence Unit, Polity IV and the Heritage Foundation. We find that women are less likely to undertake entrepreneurial activity in countries where the state sector is larger, but the rule of law is not generally found to have gender-specific effects. However, more detailed institutional components of discrimination against women, in particular, restrictions on freedom of movement away from home, make it less likely for women to have high entrepreneurial aspirations in terms of employment growth, even if their entry into entrepreneurial activities, including self-employment, is not affected by this.

Entrepreneurship in transition economies:the role of institutions and generational change

The transition economies have lower rates of entrepreneurship than are observed in most developed and developing market economies. The difference is even more marked in the countries of the former Soviet Union than those of Central and Eastern Europe. We link these differences partly with the legacy of communist planning, which needs to be replaced with formal market-supporting institutions. But many of these developments have now taken place, yet entrepreneurial activity still remains low in many places. To analyse this longer term issue, we highlight the necessarily slow pace of development of new informal institutions and the corresponding social attitudes, notably rebuilding the generalised trust. We argue that changes are even slower in the former Soviet Union than Central and Eastern Europe because communist rule was much longer, leading to a lack of institutional memory. We posit that changes in informal institutions may be therefore delayed until after full generational change.

Institutions, finance and the level of development:the impact on entrepreneurship in transition

We investigate the impact of institutions on entrepreneurial entry, based on a large cross-country sample, combining working age population data generated by the GEM project with macro level indicators. Our four key findings indicate that: (a) institutional obstacles to entrepreneurship have different impact in rich countries compared to poor countries; (b) institutional obstacles have a stronger impact on 'opportunity entrepreneurship' than on 'necessity entrepreneurship'; (c) two institutional indicators - property right protection and access to finance - appear to have a dominant impact on entrepreneurship; (d) institutions have a long term impact. More than ten years after the Soviet system imploded in Central and Eastern Europe, these countries still experience significantly lower levels of entrepreneurship than economies coming from different legal traditions.

Better means more:property rights and high-growth aspiration entrepreneurship

This paper contrasts the determinants of entrepreneurial entry and high-growth aspiration entrepreneurship. Using the Global Entrepreneurship Monitor (GEM) surveys for 42 countries over the period 1998-2005, we analyse how institutional environment and entrepreneurial characteristics affect individual decisions to become entrepreneurs and aspirations to set up high-growth ventures. We find that institutions exert different effects on entrepreneurial entry and on the individual choice to launch high-growth aspiration projects. In particular, a strong property rights system is important for high-growth aspiration entrepreneurship, but has less pronounced effects for entrepreneurial entry. The availability of finance and the fiscal burden matter for both.

Entrepreneurship in Russia

This paper presents an account of the environment faced by entrepreneurs in Russia. In section one we give a brief introduction to the country which is followed by the overview of a public policy on small and medium enterprises in the next section. The current state of SMEs and some particularities of the entrepreneurial environment are discussed in section three, whereas section four focuses on the prospects of internationalisation of Russian SMEs. In section five we draw some conclusions.

Institutions and entrepreneurship development in Russia:a comparative perspective

In this paper we use a comparative perspective to explore the ways in which institutions and networks have influenced entrepreneurial development in Russia. We utilize Global Entrepreneurship Monitor (GEM) data to study the effects of the weak institutional environment in Russia on entrepreneurship, comparing it first with all available GEM country samples and second, in more detail, with Brazil and Poland. Our results suggest that Russia's institutional environment is important in explaining its relatively low levels of entrepreneurship development, where the latter is measured in terms of both number of start-ups and of existing business owners. In addition, Russia's business environment and its consequences for the role of business networks contribute to the relative advantage of entrepreneurial insiders (those already in business) to entrepreneurial outsiders (newcomers) in terms of new business start-ups.

Probabilistic resource space model for managing resources in cyber-physical society

Classification is the most basic method for organizing resources in the physical space, cyber space, socio space and mental space. To create a unified model that can effectively manage resources in different spaces is a challenge. The Resource Space Model RSM is to manage versatile resources with a multi-dimensional classification space. It supports generalization and specialization on multi-dimensional classifications. This paper introduces the basic concepts of RSM, and proposes the Probabilistic Resource Space Model, P-RSM, to deal with uncertainty in managing various resources in different spaces of the cyber-physical society. P-RSM’s normal forms, operations and integrity constraints are developed to support effective management of the resource space. Characteristics of the P-RSM are analyzed through experiments. This model also enables various services to be described, discovered and composed from multiple dimensions and abstraction levels with normal form and integrity guarantees. Some extensions and applications of the P-RSM are introduced.

Semantic linking through spaces for cyber-physical-socio intelligence:a methodology

Humans consciously and subconsciously establish various links, emerge semantic images and reason in mind, learn linking effect and rules, select linked individuals to interact, and form closed loops through links while co-experiencing in multiple spaces in lifetime. Machines are limited in these abilities although various graph-based models have been used to link resources in the cyber space. The following are fundamental limitations of machine intelligence: (1) machines know few links and rules in the physical space, physiological space, psychological space, socio space and mental space, so it is not realistic to expect machines to discover laws and solve problems in these spaces; and, (2) machines can only process pre-designed algorithms and data structures in the cyber space. They are limited in ability to go beyond the cyber space, to learn linking rules, to know the effect of linking, and to explain computing results according to physical, physiological, psychological and socio laws. Linking various spaces will create a complex space — the Cyber-Physical-Physiological-Psychological-Socio-Mental Environment CP3SME. Diverse spaces will emerge, evolve, compete and cooperate with each other to extend machine intelligence and human intelligence. From multi-disciplinary perspective, this paper reviews previous ideas on various links, introduces the concept of cyber-physical society, proposes the ideal of the CP3SME including its definition, characteristics, and multi-disciplinary revolution, and explores the methodology of linking through spaces for cyber-physical-socio intelligence. The methodology includes new models, principles, mechanisms, scientific issues, and philosophical explanation. The CP3SME aims at an ideal environment for humans to live and work. Exploration will go beyond previous ideals on intelligence and computing.