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Abstract

The present study aims at highlighting some of the impacts that labour market an education mutually have on each other both in the context of economies in transition (even if they used to have long historic traditions related to pioneering in instruction and education at mass and elite level) and that of a steady and consequent capitalist state undisturbed by the storms of radical political changes and periods of totally negating the values and results created by former historic eras and communities.

The main idea is that the relationship between the labour market and education is that of a mutual demand and supply based corelation, permanently influencing each other, so no political or economic authority and power should miss taking this into consideration unless they want to fail.

Management and its Support by Information Systems. September 5-7, 2011,Ostrava . VŠB TU Ostrava, 2011, pp. 34-45. Doucek, P., Novotny, O., Pecakova, I. & Vorisek, J, (2007). Lidske zdroje v ICT - Analyza nabidky a poptavky po IT odbornicich v Česke republice [Human Resources in ICT - Analysis of the Demand and Supply in Czech Republic] R. 1. ed. Praha: Professional Publishing. European Commission (2010). Europe‘s digital competitiveness report . 2010 ISBN 978-92-64-08873-3 Retrieved June 5, 2012, from http://dx.doi.org/10.1787/it_outlook-2010-en Fernandez, J. (2006

Abstract

The marketing of educational services has become both a priority and a challenge, taking into account the technological changes that have arisen from the aspect of the tools and teaching methods used, as well as from the point of view of the requirements on the market manifested by the bearers of labor demand and supply. In addition, the opening and internationalization of these services has led to an increase in competition in this area, which forces universities to attach greater importance to educational marketing activities. From the point of view of the study of the behavior of the consumer of university educational services, the approach is even more challenging as the offer of educational services presupposes the rendering of an inexpensive, unstable, perishable and extremely variable service in terms of diversity, which requires an extremely complex analysis of the variables that influence the behavior of the “consumer” student, as well as from the point of view of the purchasing decision process, as a result of the action of these factors. In this context, the present paper aims to analyze the necessity of applying specific educational marketing tools, methods and techniques, especially of university marketing, not only from the perspective of the promotional component, which has a leading role in this field, but also starting from to the analysis of the peculiarities of the behavior of the consumer of educational services as a beneficiary.

. B. (1988), “Demand and Supply Influences in R & D Intensity and Productivity Growth”, Review of Economics and Statistics, Vol. 70, No.3, pp. 431– 437. 12. Jovanovic, B., MacDonald, G. M. (1994), “Competitive Diffusion”, Journal of Political Economy, Vol. 102, No.1, pp. 24–52. 13. Newman, M. E. J. (2003), “The Structure and Function of Complex Networks”, SIAM Review, Vol. 45, No.2, pp. 167–256. 14. Powell, W., Koput, K., Smith-Doerr, L. (1996), “Inter-organizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology”, Administrative

.1016/j.sbspro.2012.05.365 Bailey, A. R., Chow, C. W. and Haddad, K. M. (1999), “Continuous improvement in business education: Insights from the for-profit sector and business school deans”, Journal of Education for Business , Vol. 74, No. 3, pp. 165–180. DOI:10.1080/08832329909601681 Blight, D. (1995), International Education: Australia’s Potential Demand and Supply . IDP Education Australia, Canberra. Bronner, A. E. and Kuijlen, T. (2007), “The Live or Digital Interviewer: A Comparison between CASI, CAPI and CATI with Respect to Differences in Response Behavior

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support small- to medium- sized enterprises (SMEs) and micro-enterprises are largely directed at individual firms and do not address how firms can collaborate in demand and supply chains to develop and grow. Lee et al. (2010 ) argue that one way SMEs and micro-firms can overcome the lack of economies of scale and technical expertise of larger firms is through using networks within which they are embedded to develop open innovation models appropriate to their size and resource contingencies. This model of innovation is well illustrated in the open innovation model

Differences in Demand and Supply of Skill. Economic Journal , 114 (495), 466–486. Machin, S. and Van Reenan, J. (1998). Technology Changes in Skill Structure: A Review of Recent Trends and Proposed Explanations. Quarterly Journal of Economics , 113 , 1215–1279. Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P. and Dewhurst, M. (2017). A Future That Works: Automation, Employment, and Productivity , McKinsey Global Institute, www.mckinsey.com/featured-insights/digital-disruption/mgi . Markusen, A. (2004). Targeting Occupations in Regional and

Countries Working Paper Series No. 1406/December European Central Bank https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp1406.pdf Greenwood, J. (2016). ‘Institutional theories of the wage bargain: Beyond demand and supply’. Journal of Economic Issues 50: 2. Greenwood J. 2016 ‘Institutional theories of the wage bargain: Beyond demand and supply’ Journal of Economic Issues 50 2 Gregory, R. and Borland, J. (1999). ‘Recent developments in public sector labour markets’, in O. Ashenfelter and D. Card (eds), Handbook of Labor Economics Vol. 3C, Amsterdam: North-Holland, pp.3573

Abstract

This study examined the direct/indirect long-run relationships and dynamic interactions between public investment (PI) and output performance in Nigeria using annual data spanning 1970-2010. A macro-econometric model derived from Keynes’ income-expenditure framework was employed. The model was disaggregated into demand and supply sides to trace the direct and indirect effects of PI on aggregate output. The direct supply side effect was assessed using the magnitude of PI multiplier coefficient, while the indirect effect of PI on the demand side was evaluated with marginal propensity to consume, accelerator coefficient and import multiplier. The results showed relatively less strong direct effect of PI on aggregate output, while the indirect effects were stronger with the import multiplier being the most pronounced. This is attributed to declining capital expenditure, poor implementation and low quality of PI projects due to widespread corruption. By and large, we concluded that PI exerted considerable influence on aggregate output.

, Annals of Faculty of Economics, 1, issue 1, p. 976-986. Davidescu, A. M., Paul, A.M.V., Gogonea, R-M., Zaharia, M., (2015), Evaluating Romanian Eco-Innovation Performances in European Context , Sustainability, 7, issue 9, p. 1-35. Gogonea, R-M., Zaharia, M., Dumitru, N-R. (2009). Statistic and Econometric Analysis of the Motivational Factors on Turistc Behavour , Annals of Faculty of Economics, 2, issue 1, p. 654-658. Gogonea, R-M., Zaharia, M. (2013). Statistical Analisys of Evolutions of Demand And Supply of Agro-Touristic Boarding Houses in 2000 - 2012 Period