Technical efficiency of the generation of knowledge in the European Union (2003-2010)
DOI:
https://doi.org/10.1515/bog-2015-0001Abstract
This paper analyses the determinants of knowledge in the European Union of the 27, through estimates of transcendental logarithmic production functions (translog) in different scenarios. For this, a data panel for the period 2003-2010 has been elaborated, selecting the production stochastic frontier as the most reliable model to estimate technical efficiency for European innovation. The empirical result is that technological capital, human capital and relational capital have a positive and significant influence on the generation of knowledge. Also, from the observation of results we can assure that the size (in terms of population) of a country within the EU-27 does not positively influence the technical efficiency of knowledge production.
This is an empirical study about the relationship between the determinants of knowledge and the technical efficiency of the generation of knowledge, and such a study does not exist in literature for the EU-27 in the period analysed.References
Agüeros, M., Casares, P., Coto-Millán, P. and Pesquera, M.A., 2013: A new approach on innovation and its application to European Union countries. In: Quastiones Geographicae, Vol. 32, 2, pp. 5-14.
Afriat, S., 1972: Efficiency estimation of production functions. In: International Economic Review, No. 13, 3, pp. 568-598.
Aigner, D. and Chu, S., 1968: On estimating the industry production function. In: The American Economic Review, No. 54, 4, pp. 826-839.
Aigner, D., Lowell, C. and Schmidt, P., 1977: Formulation and estimation of stochastic frontier production function models. In: Journal of Econometrics, No. 6, pp. 21-37.
Álvarez-Pinilla, A., del Corral, J., Pérez, J.A. and Solís, D., 2007: Efecto de la intensificación sobre la eficiencia de las explotaciones lecheras (Intensification effect on the efficiency of dairy farms – in Spanish). In: Economía agraria y recursos naturales, Madrit, No. 7, 13, pp. 91-106.
Andrés, J. and Hueth, D., 2010: Funciones de producción y eficiencia técnica en el eje cafetero colombiano: una aproximación con frontera estocástica (Production functions and technical efficiency in the Colombian coffee region: an approach using stochastic frontier – in Spanish). In: Centro de Estudios sobre desarrollo económico, No 21, pp. 1-33.
Badiola, A. and Coto-Millán, P., 2012: Networks and Innovation: An Economic Model for European regions (2002-2006). In: Journal of Knowledge Management, Economics and Information Technology, Vol. 5, pp. 1-22.
Badiola, A., Casares, P., Coto-Millán, P. and Pesquera, M.A., 2012: Determinants of Technical efficiency and technological innovation of European regions in the period 2002-2006. In: Journal of Business Management and Applied Economics, Vol. 5, Bucharest, pp. 1-22.
Baños-Pino, J., Coto-Millán, P. and Rodríguez-Álvarez, A., 1999: Allocative Efficiency and Overcapitalization: an Application. In: International Journal of Transport Economics, No. XXVI (2), pp. 181-199.
Battese, G.E. and Coelli, T.J., 1992: Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. In: The Journal of Productivity Analysis, Vol. 3, pp. 153-169.
Battese, G.E. and Coelli, T.J., 1995: A model for technical inefficiency effects in a stochastic frontier production function for panel data. In: Empirical Economics, Vol. 20, pp. 325-332.
Cohen, W.M. and Levinthal, D.A., 1990: Absorptive capacity: a new perspective on learning an innovation. In: Administrattive Science Quarterly, Vol. 35, pp. 128-152.
Coto-Millán, P., Baños-Pino, J. and Rodríguez-Álvarez, A., 2000: Economic Efficiency in Spanish Ports: some Empirical Evidence. In: Maritime Policy and Management, No. 27 (2), pp.169-174.
Coto-Millán, P., Carrera, G., Castanedo, J., Pesquera, M,A., Inglada, V. , Sainz R, and Nuñez R., 2007: Efficiency Stochastic Frontiers: a Panel Data Analysis for Spanish Airports (1992-1994). In: Coto Millán P. and Inglada, V. editors, Essays on Transport Economics. New York: Physica-Verlag HD, pp. 121-126.
Coto-Millán, P., Casares, P., Pesquera, M,A, and De Castro P., 2011: Serempathy: A new approach to innovation. Application to forty-six regions of Atlantic Arc countries. In: Journal of Knowledge, Economic, Information and Technology, Issue 6, October, pp. 1-26.
European Commission, 2010: European Innovation Scoreboard, 2003-2010. Brussels: European Union.
Farrel, M.J., 1957: The measurement of productive efficiency. In: Journal of the Royal Statistical Society, No. 120, 3, pp. 253-290.
Fodi, M., Marrocu, E., Puci, and Usai R., 2013: Knowledge and regional performance. In: KIT: Knowledge, Innovation, Territory, Applied Research2013/1/13, Draft Final Report, Chapter 3, Vol. 1, Brussels: European Union, pp. 40-77.
Greene, W., 1980: Maximum Likelihood estimation of econometric frontier functions. In: Journal of Econometrics, No. 13, pp. 27-56.
Griliches, Z., 1979: Issues in assessing the contribution of research and development to productivity growth. In: The Bell Journal of Economics, Vol. 10, pp. 92-116.
Jaffe, A.B., 1986: Technological Opportunity and Spillovers of R&D: evidence from Firms, Patents , Profits and Market Value. In: American Economic Review, Vol. 76, pp. 984-1001.
Jaffe, A.B., 1989: Real Effects of Academic Research. In: American Economic Review, Vol. 79, pp. 957-970.
Lozano, S. and Gutierrez, E., 2011: Efficiency analysis and Target Setting of Spanish Airports. In: Networks and Spatial Economics, Vol. 11, pp. 139-157.
Marrocu, R., Paci, R. and Usai, S., 2011a: Proximity, networks and Knowledge production in Europe, WP, CRENOS, 2011/9, Sardinia: Centre for North South Economic Research.
Marrocu, R., Paci, R. and Usai, S., 2011b: The complementary effects of proximity dimensions on knowledge spillovers, WP, CRENOS, 2011/9, Sardinia: Centre for North South Economic Research.
Moreuno, R., Paci, R. and Usai, S., 2005: Spatial spillovers and innovation activity in European Regions. In: Environment and Planning A, Vol. 37, pp.1793-1812.
Meeusen, W. and Van Den Broeck, J., 1977: Efficiency estimation from Cobb-Douglas production functions with composed error. In: International Economic Review, No. 18, 2, pp. 435- 444.
Miguelez, E., Moreano, R. and Surinach, J., 2013: Knowledge spillovers and regional knowledge creation. In: KIT: Knowledge, Innovation, Territory, Applied Research 2013/1/13, Draft Final Report, Chapter 5, Vol. 1, Brussels: European Union, pp. 128-166.
Ponds, R., van Oort, F. and Frenken, K., 2010: Innovation, spillovers and university-industry collaboration: an extended knowledge production function approach. In: Journal of Economic Geography, Vol. 10, pp. 231-255.
Schmidt, P. and Sickles, R., 1984: Production frontiers and panel data. In: Journal of Business and Economic Statistics, Vol. 2, 4, pp. 367-374.
Pires, J. and García, F., 2004: Productivity of nations: a stochastic frontier approach to TPF descomposition. In: Escola de Economia de Sao Paulo, da Fundaçao Getulio Vargas,No. 14, pp. 1- 39.
Rodríguez-Álvarez, A., Tovar B, and Trujillo, L., 2007: Firm and time varying technical and allocative efficiency: An application to port cargo handling firms. In: International Journal of Production Economics, No. 109, pp. 146-161.
Tapiador, F. J., Mateos, A. and Martí-Henneberg, J., 2008: The geographical efficiency of Spain’s regional airports: A quantitative analysis. In: Journal of Air Transport Management, Vol. 14, pp.205-212.
White, H., 1980: A heteroskedasticity- consistent covariance matrix estimator and a direct test for heteroskedasticity. In: Econometrica, No. 48, 4, pp. 817-838.
Wold, H., 1938: A Study in the analysis of stationary time series. (2nd ed 1954, with appendix by P. Whittle), Stockholm: Almqvist and Wiksell.
Downloads
Published
How to Cite
Issue
Section
License
Title, logo and layout of journal Bulletin of Geography. Socio-economic Series are reserved trademarks of Bulletin of Geography. Socio-economic Series.Stats
Number of views and downloads: 355
Number of citations: 0
