HOW THE INVESTMENT IN R&D IS RELATED TO THE HUMAN CAPITAL ACCUMULATION? THE CASE OF ROMANIA

The paper tries to clarify the link between the investment in R&D and theaccumulation of human capital. In the paper is analyzed the investment in R&D at the EUlevel, underlying the case of Romania and the link between this type of investment and thehuman capital accumulation. At the EU level, the R&D investment is differently influenced bythe human capital accumulation: the educational level of the population and doctoratestudents in science and technology are influencing the employment in knowledge-intensivesectors and doctorate students in science and technology are influencing the R&D personnel.In Romania, human capital accumulation can stimulate both, inputs and outputs of the R&Dinvestment. The quality of the human capital is important: only the tertiary educated peopleand graduates in science and technology can influence the R&D investment.R&D investment, human capital accumulation, knowledge-based society, knowledgeworkers

An international Comparison of Selected Innovation Drivers

Innovation, Forschung, Humankapital, Forschungs- und Technologiepolitik, Vergleich, OECD-Staaten, Innovation, Research, Human capital, Science and technology policy, Comparison, OECD countries

The role of human resources on the economy: a study of the Balkan eu member states

In this paper we analyze the impact of the quality of human capital on the main economic indicators of South-Eastern Europe countries [SEE] at the NUTS 2 level. The subjects of this research are the human capital indicators of regional competitiveness. The quality of human capital depends largely on the age structure of the population and the quality of education. Those regions, which have the highest percentage of the working-age population and highly educated people, are able to achieve higher productivity and gain a competitive advantage over other regions. As main indicators of the quality of human capital we identified: population; persons aged 25-64 with tertiary education attainment; students in tertiary education and participation of adults aged 25-64 in education and training and human resources in science and technology. As main economic indicators, we identified: regional gross domestic product; employment and income of households. The aim of this paper is to determine whether there is a correlation between the indicators of the quality of human capital and economic indicators. As a main methodology we have used the correlation coefficient which shows interdependence of the analyzed indicators. As part of our analysis, we consider only EU member states that belong to the SEE countries: Slovenia, Croatia, Romania, Bulgaria and Greece. We conclude that in all countries there is a high multiple correlation coefficient between the indicators human resources in science and technology, number of students and employment.This paper is the result of the project No. 47007 III funded by the Ministry for Education, Science and Technological Development of Republic of Serbia

Innovation, Entrepreneurship and Governance for Sustainable Development of Africa’s Agri-food System

Africa has the human capital to transform its agricultural sector Growth in urban markets provides new opportunities for enterprise development Investments in science, technology, engineering and math must be increased Bold leadership, as well as policies that promote R&D collaboration and provide incentives for partnering with the private sector, should be implemented

Capital Use Intensity and Productivity Biases

This is a substantially revised version of “Capital Use Intensity and Productivity Biases.” Andersen, Matt A.; Alston, Julian M.; Pardey, Philip G., St. Paul, MN: University of Minnesota, Department of Applied Economics; University of Minnesota, International Science and Technology Practice and Policy (InSTePP), 2007. (Staff paper P07-06; InSTePP paper 07-02)U.S. agriculture, pro-cyclical productivity, capital utilization, primal productivity bias, Productivity Analysis, D24, C51, Q1, O4, O47,

Ambiguous Bodies, Biopower and the Ideologies of Science Fiction

Contemporary Hollywood film narrates the fear of monstrous science; attending to the modulations of medicine, capital and the body. The filmic body is employed to illustrate the power of the new biotechnologies to create and sustain life and the new sets of social relations which are a consequence of the marriage of capital and medicine. In the Hollywood film, persons who do not fit the ideal healthy persona have a moral duty to pursue repair and transformation. Constructed as inherently lacking, the unhealthy body becomes a repository for social anxieties about control and vulnerability, vis-à-vis the enormous and exponentially expanding science and technology fields. Hierarchies of embodiment are played out on the Big Screen as imperfect bodies are excluded from public life, power and status and urged to strive for “optimization”. Late modern societies present the possibility of new technologies which have the potential to radicalize bodies. However, these potential modulations are ultimately derived from a set of ideologies around the body and the power of the individual to enact an individualized solution. Contemporary narratives circulate around ownership of capital and the price of “repair.” This marriage of science and capital in popular narratives may be indicative of concerns for our future, as the power to make and repair life seems to rest increasingly in the hands of an elite

Assessing intellectual capital of a technology park

Technology parks are organizations that are supporting innovative entrepreneurial activity cooperating with knowledge-based institutions and using advanced technology. The main purpose of this paper is to identify the determinants of intellectual capital in technology parks. Through an analysis of current models for the assessment of intellectual capital, a preposition of a model for Croatian science and technology parks has been made. The main contribution of this paper is an intellectual capital measurement model which can be used in other existing science and technology parks, but also in research centers, entrepreneurial incubators and other entrepreneurship supporting institutions. Using the case study method, the paper identifies components of intellectual capital in a technology park, as well as the gaps between the level of development of each determinant. Data were collected through an interview with representatives of a technology park in Croatia. Results of this study can be used for strategic decision making

Going Public When You Can in Biotechnology

Scientist-entrepreneurs prominent in biotech and other high-technology industries view going public not as a cost-effective source of capital but as a cross between selling a now-proven innovation and winning a lottery. Unlike most empirical IPO analyses confined to those firms that go public, we study substantially all the non-public biotech firms founded up through 1989. The probability that one of these firms goes public in any given year increases with the quality of the firm's science base (use of recombinant DNA technology, number of articles by star scientists as or with firm employees, number of biotech patents), the percentage of eligible firms going public the year the firm was founded as a strategy indicator, recent biotech returns as an indicator of a hot market, and whether or how many rounds of venture capital has been obtained. The same key factors increase the expected proceeds raised from IPOs, but the quality of the firm's science base plays a more dominant role. All firms going public try to look like the next Genentech, but only those with the strong science base necessary for success attract large investments.

Choosing Between Promising and Crowded Industries: How Does the Venture Capital Industry Fare in Each?

Incredible profits from Initial Public Offerings have been highly emphasized. This paper refutes these profits as being standard and supports the market’s return to normalcy by stratifying annual and cumulative returns for different industries: Biotechnology; Communications; Computer Related companies; Medical, Health and Life Science industries; Non-High-Technology companies; and Semiconductor and Other Electronics Industries. This paper tests whether an entrepreneur has greater potential for success in continually promising fields or whether one should slug it out in a risky but potentially very rewarding industry. A comparison of success is made between already competitive businesses and those, which are young and growing.Initial public offering, venture capital, annualized and cumulative rates of return, Information Technology, Medical, Health and Life Science, Non-High Technology, Biotechnology, Communications, Computer Industry, Semiconductor and Other Electronics Industries