The Micro-Macro Interfaces of Higher Education, Innovation, Regional Growth and Regional Development

  • Luis E. Vila
Part of the Studies on Entrepreneurship, Structural Change and Industrial Dynamics book series (ESID)


This chapter highlights the relevance of micro-macro interfaces for the study of investment inflows in higher education, as an impulse concept, in the development of economies on a regional scale, as a response concept. The term ‘micro-macro interfaces’ refers to the systems of interactions that combine and channel the efforts made by individuals, often within collective organizations, to achieve their personal goals and the objectives set at the organizational level, and how the results from those efforts, once aggregated territorially, drive the rhythm of economic growth and the directions of regional development. The analysis brings together theory, research and practice from economics, management science, educational science and regional science in order to clarify the links among a number of connected impulse-response mechanisms at the individual, corporate and spatial levels. Since those impulse-response relationships involve concepts often measured at more than one level of aggregation, researchers have tended so far to exclude them from the models used to provide evidence on the economic and social impacts of higher education at the regional level. Particularly, the discussion focuses on the influence of local contexts and local invention and innovation systems, and the role of knowledge related spatial spillovers, on the one hand, and on the transition of individual university graduates from higher education institutions to post-graduate positions and careers within work organizations.


Impulse-response Aggregation Territory University graduates Professional careers 


  1. Acs, Z. J., Audretsch, D. B., Braunerhjelm, P., & Carlsson, B. (2012). Growth and entrepreneurship. Small Business Economics, 39(2), 289–300.Google Scholar
  2. Aigner, D., Lovell, C. K., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21–37.Google Scholar
  3. Allen, J., & Van der Velden, R. (2001). Educational mismatches versus skill mismatches: Effects on wages, job satisfaction, and on-the-job search. Oxford Economic Papers, 53(3), 434–452.Google Scholar
  4. Arrow, K. (1997). The benefits of education and the formation of preferences. The social benefits of education, 11–17.Google Scholar
  5. Bilbao-Osorio, B., & Rodríguez-Pose, A. (2004). From R&D to innovation and economic growth in the EU. Growth and Change, 35(4), 434–455.Google Scholar
  6. Card, D. (1999). The causal effect of education on earnings. Handbook of Labor Economics, 3, 1801–1863.Google Scholar
  7. Carnoy, M., & Levin, H. (1985). Schooling and work in the democratic state. Stanford: Stanford University Press.Google Scholar
  8. Davila, C. D., Mora, J. G., & Vila, L. E. (2014). Competencies which shape leadership. International Journal of Manpower, 35(4), 514–535.Google Scholar
  9. Davila, C. D., Mora, J. G., Perez, P. J., & Vila, L. E. (2016). Enhancing the development of competencies: The role of UBC. European Journal of Education, 51(1), 10–24.Google Scholar
  10. Dickson, M., & Harmon, C. (2011). Economic returns to education: What we know, what we don’t know, and where we are going—some brief pointers. Economics of Education Review, 30(6), 1118–1122.Google Scholar
  11. Doyle, C., & Weale, M. (1994). Education, externalities, fertility and economic growth. Education Economics, 2(2), 129–167.Google Scholar
  12. Ekvall, G., & Arvonen, J. (1991). Change-centered leadership: An extension of the two-dimensional model. Scandinavian Journal of Management, 7(1), 17–26.Google Scholar
  13. Griliches, Z. (1979). Issues in assessing the contribution of research and development to productivity growth. The Bell Journal of Economics, 10, 92–116.Google Scholar
  14. Harmon, C., Oosterbeek, H., & Walker, I. (2003). The returns to education: Microeconomics. Journal of Economic Surveys, 17(2), 115–156.Google Scholar
  15. Hartog, J. (1992). Capabilities, allocation and earnings. Boston: Kluwer.Google Scholar
  16. Hartog, J. (2000). Human capital as an instrument of analysis for the economics of education. European Journal of Education, 35(1), 7–20.Google Scholar
  17. Hartog, J. (2001). On human capital and individual capabilities. Review of Income and Wealth, 47(4), 515–540.Google Scholar
  18. Haveman, R. H., & Wolfe, B. L. (1984). Schooling and economic well-being: The role of nonmarket effects. Journal of Human Resources, 19, 377–407.Google Scholar
  19. Heijke, H., Meng, C., & Ramaekers, G. (2003). An investigation into the role of human capital competences and their pay-off. International Journal of Manpower, 24(7), 750–773.Google Scholar
  20. Knabb, S. D., & Stoddard, C. (2005). The quality of education, educational institutions, and cross-country differences in human capital accumulation. Growth and Change, 36(3), 354–373.Google Scholar
  21. Levin, H. M., & Kelley, C. (1994). Can education do it alone. Economics of Education Review, 13(2), 97–108.Google Scholar
  22. Lucas, R. E. (2009). Ideas and growth. Economica, 76(301), 1–19.Google Scholar
  23. Lundvall, B. A. (1992). National systems of innovation: Towards a theory of innovation and interactive learning. London: Pinter.Google Scholar
  24. Lundvall, B. A. (2008). Higher education, innovation and economic development. Higher Education and Development, 201–228.Google Scholar
  25. Mincer, J. A. (1974). Schooling, experience and earnings. Cambridge, MA: NBER.Google Scholar
  26. Moreno, R., Paci, R., & Usai, S. (2005). Spatial spillovers and innovation activity in European regions. Environment and Planning A, 37(10), 1793–1812.Google Scholar
  27. Moulton, B. R. (1990). An illustration of a pitfall in estimating the effects of aggregate variables on micro units. The Review of Economics and Statistics, 72, 334–338.Google Scholar
  28. Rodriguez-Pose, A., & Crescenzi, R. (2011). Research and development, spillovers, innovation systems, and the genesis of regional growth in Europe. Regional Studies, 42(1), 51–67.Google Scholar
  29. Romer, P. M. (1986). Increasing returns and long-run growth. Journal of Political Economy, 94(5), 1002–1007.Google Scholar
  30. Romer, P. M. (1990). Endogenous technical change. Journal of Political Economy, 98(5), 71–102.Google Scholar
  31. Schultz, T. W. (1975). The value of the ability to deal with disequilibria. Journal of Economic Literature, 13(3), 827–846.Google Scholar
  32. Škare, M. (2011). How important is human capital for growth in reforming economies? Technological and Economic Development of Economy, 17(4), 667–687.Google Scholar
  33. Solow, R. M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70(1), 65–94.Google Scholar
  34. Stashewsky, S., & Koslowsky, M. (2006). Leadership team cohesiveness and team performance. International Journal of Manpower, 27(1), 63–74.Google Scholar
  35. Tatum, B. C., Eberlin, R., Kottraba, C., & Bradberry, T. (2003). Leadership, decision making, and organizational justice. Management Decision, 41(10), 1006–1016.Google Scholar
  36. Todd, P. E., & Wolpin, K. I. (2003). On the specification and estimation of the production function for cognitive achievement. The Economic Journal, 113(485), F3–F33.Google Scholar
  37. Usai, S. (2008). The geography of inventive activities in OECD regions. OECD science, technology and industry working papers, 2008(3), 0_1.Google Scholar
  38. Vila, L. E., Perez, P. J., & Morillas, F. G. (2012). Higher education and the development of competencies for innovation in the workplace. Management Decision, 50(9), 1634–1648.Google Scholar
  39. Vila, L. E., Perez, P. J., & Coll-Serrano, V. (2014). Innovation at the workplace: Do professional competencies matter. Journal of Business Research, 67(5), 752–757.Google Scholar
  40. Vila, L. E., Cabrer, B., & Pavía, J. M. (2015). On the relationship between knowledge creation and economic performance. Technological and Economic Development of Economy, 21(4), 539–556.Google Scholar
  41. Weinert, F. E. (2001). Concept of competence: A conceptual clarification. In D. S. Rychen & L. H. Salganik (Eds.), Defining and selecting key competencies (pp. 45–65). Göttingen: Hogrefe and Huber.Google Scholar
  42. Weisbrod, B. A. (1964). Collective-consumption services of individual-consumption goods. The Quarterly Journal of Economics, 78(3), 471–477.Google Scholar
  43. West, M. A., & Farr, J. L. (1990). Innovation at work. In M. A. West & J. L. Farr (Eds.), Innovation and creativity at work: Psychological and organizational strategies. Chichester: Wiley.Google Scholar
  44. Worthington, A. C. (2001). An empirical survey of frontier efficiency measurement techniques in education. Education Economics, 9(3), 245–268.Google Scholar
  45. Yukl, G., Gordon, A., & Taber, T. (2002). A hierarchical taxonomy of leadership behavior: Integrating a half century of behavior research. Journal of Leadership & Organizational Studies, 9(1), 15–32.Google Scholar

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Authors and Affiliations

  1. 1.University of ValenciaValenciaSpain

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