The value pumpIntroducing a thermodynamic model to assess innovation systems’ performance

  1. IGONE PORTO GOMEZ 1
  2. JON MIKEL ZABALA ITURRIAGAGOITIA 1
  3. FERNANDO CORTÉS MARTÍNEZ 1
  4. CRISTINA GUTIERREZ-CAÑAS MATEO 2
  1. 1 Universidad de Deusto
    info

    Universidad de Deusto

    Bilbao, España

    ROR https://ror.org/00ne6sr39

  2. 2 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

Revista:
Estudios de economía aplicada

ISSN: 1133-3197,  1697-5731

Año de publicación: 2019

Título del ejemplar: Econofísica: aplicaciones en el ámbito de la Economía

Volumen: 37

Número: 2

Páginas: 63-81

Tipo: Artículo

DOI: 10.25115/EEA.V37I2.2605 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Estudios de economía aplicada

Resumen

La econofísica y la termodinámica aún no han abordado la medición del rendimiento de la innovación. Este trabajo introduce un enfoque termodinámico basado en modelos de bombas de calor, y que se aplica para evaluar el rendimiento de los sistemas de innovación. Este modelo termodinámico puede ser utilizado para evaluar el desempeño de la innovación en niveles tales como el nacional, regional, sectorial, así como en contextos relacionados con las empresas. Este modelo se aplica en el caso de los Estados Unidos Mexicanos. En particular, nos centramos en la dimensión regional, midiendo el desempeño en innovación de las regiones mexicanas entre 2010 y 2013. Nuestros resultados revelan que las conclusiones obtenidas con la aplicación de este enfoque para medir el rendimiento de la innovación son sólidas y estables en el tiempo.

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Información de financiación

Igone Porto-Gomez and Jon Mikel Zabala-Iturriagagoitia acknowledge financial support from the Basque Government Department of Education, Language Policy and Culture (IT 885-16).

Financiadores

Referencias bibliográficas

  • ABBASSI, M., ASHRAFI, M., TASHNIZI, E.S. (2014) Selecting balanced portfolios of R&D projects with interdependencies: A Cross-Entropy based methodology. Technovation, 34(1), 54-63.
  • AUDRETSCH, D. B., Feldman, M.P. (1996) R&D spillovers and the geography of innovation and production. The American economic review, 86(3), 630-640.
  • AUTIO, E. (1998) Evaluation of RTD in Regional Systems of Innovation. European Planning Studies, 6(2), 131–140.
  • BALI, S. (2011) Econophysics, thermoeconomics and finance. Journal of International Social Research, 4(18), 379-388.
  • BORRAS, S., EDQUIST, C. (2019) Holistic Innovation Policy: Theoretical Foundations, Policy Problems and Instrument Choices. Oxford University Press, Oxford.
  • BRACZYKH. J., COOKE P., HEIDENREICH, M. (EDS) (1998) Regional Innovation Systems. UCL Press, London.
  • CAI, Y., LIU, C. (2014) The roles of universities in fostering knowledge-intensive clusters in Chinese regional innovation systems. Science and Public Policy, 42(1), 15-29.
  • CAPDEVIELLE, M., DUTRÉNIT, G. (2012) Políticas para el desarrollo productivo y la innovación: desafío y oportunidad para la economía mexicana. Nueva estrategia de industrialización, 153-185.
  • CARAYANNIS, E., GRIGOROUDIS, E. (2014) Linking innovation, productivity, and competitiveness: implications for policy and practice. Journal of Technology Transfer, 39, 199-218.
  • CARLSSON, B., JACOBSSON, S. (1994) Technological systems and economic policy: the diffusion of factory automation in Sweden. Research Policy, 23, 235–248.
  • CHARNES, A., COOPER, W.W., RHODES, E. (1978) Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429-444.
  • CHEN, K., GUAN, J. (2012) Measuring the Efficiency of China’s Regional Innovation Systems: Application of Network Data Envelopment Analysis (DEA). Regional Studies, 46(3), 355-377.
  • CLEVELAND, C. (2006) Dictionary of Energy, Amsterdam: Elservier. In: Wissler, J. (2006). Achieving Balance, Air and Space Power Journal, Vol. 23 (4), 25-35.
  • COOKE, P., URANGA, M. G., ETXEBARRIA, G. (1997) Regional innovation systems: Institutional and organisational dimensions. Research Policy, 26(4-5), 475-491.
  • DOLOREUX, D., PORTO-GOMEZ, I. (2017) A review of (almost) 20 years of regional innovation systems research. European Planning Studies, 25(3), 371-387.
  • EDQUIST, C. (Ed.) (1997) Systems of Innovation: Technologies, Institutions and Organizations. Pinter, London.
  • EDQUIST, C. (2011) Design of innovation policy through diagnostic analysis: identification of systemic problems (or failures). Industrial and Corporate Change, 20(6), 1725-1753.
  • EDQUIST, C., ZABALA-ITURRIAGAGOITIA, J.M., BARBERO, J., ZOFÍO, J.L. (2018) On the meaning of innovation performance: Is the synthetic indicator of the Innovation Union Scoreboard flawed?. Research Evaluation, 27(3), 196-211.
  • ETZKOWITZ, H., LEYDESDORFF, L. (1995) The triple helix—university-industry-government relations: A laboratory for knowledge-based economic development. EASST Review, 14, 14–19.
  • EVANGELISTA, R., IAMMARINO, S., MASTROSTEFANO, V., SILVANI, A. (2001) Measuring the regional dimension of innovation. Lessons from the Italian Innovation Survey. Technovation, 21(11), 733-745.
  • EUROPEAN COMMISSION (2011) Regional Policy for Smart Growth in Europe 2020. European Commission, Brussels.
  • EUROPEAN COMMISSION (2012) Guide to Research and Innovation Strategies for Smart Specialisation (RIS 3). European Commission, Brussels.
  • FAGERBERG, J., FOSAAS, M., SAPPRASERT, K. (2012) Innovation: Exploring the knowledge base. Research Policy, 41(7), 1132-1153.
  • FREEMAN, C. (2002) Continental, national and sub-national innovation systems—complementarity and economic growth. Research Policy, 31(2), 191-211.
  • GALLI, R., TEUBAL, M. (1997) Paradigmatic shifts in national innovation systems. In Edquist, C. (Ed.) Systems of Innovation: Growth, Competitiveness and Employment. Pinter, London, pp. 342-364.
  • GEORGESCU-ROEGEN, N. (1976) The Entropy Law and the Economic Process. 3. vyd. Cambridge, London : Harvard University Press. xv, 457 s. ISBN 0-674-25781-2.
  • GÓMEZ-URANGA, M., ETXEBARRIA, G. (2015) Thermodynamic Properties in the Evolution of Firms and Innovation Systems. Available: HTTPS://PAPERS.SSRN.COM/ SOL3/PAPERS.CFM?ABSTRACT_ID=2697747.
  • GRUPP, H. (1990) The concept of entropy in scientometric and innovation research. An indicator for institutional involvement in scientific and technological developments. Scientometrics, 18(3-4), 219-239.
  • HAIPING, S. (2013) An Empirical Study on Performance Evaluations of Regional Innovation System Based on Management Entropy Theory. WHICEB 2013 Proceedings, 38. Available: https://aisel.aisnet.org/whiceb2013/38.
  • HE, L., LIU, Y. (2015) Based on Entropy Method Regional Innovation Capability Evaluation in Gansu Province. In: Proceedings of the Ninth International Conference on Management Science and Engineering Management (pp. 893-901). Springer, Berlin, Heidelberg.
  • HEKKERT, M.P., SUURS, R.A.A., NEGRO, S.O., KUHLMANN, S., SMITS, R.E.H.M. (2007) Functions of innovation systems: A new approach for analyzing technological change. Technological Forecasting & Social Change, 74, 413–432.
  • HOWITT, P., AGHION, P. (1998) Capital accumulation and innovation as complementary factors in long-run growth. Journal of Economic Growth, 3(2), 111-130.
  • IVANOVA, I. A., LEYDESDORFF, L. (2014) Rotational symmetry and the transformation of innovation systems in a Triple Helix of university–industry–government relations. Technological Forecasting and Social Change, 86, 143-156.
  • JOHNSON, A. (2001) Functions in Innovation System Approaches. Paper for DRUID’s Nelson-Winter Conference. 2001. Aalborg, Denmark.
  • LEYDESDORFF, L. (2001) Indicators of innovation in a knowledge-based economy. Science & technology dynamics. Cybermetrics 5, paper 2.
  • LEYDESDORFF, L. (2003) The mutual information of university-industry-government relations: An indicator of the triple helix dynamics. Scientometrics, 58(2), 445–467.
  • LEYDESDORFF, L., Porto-Gomez, I. (2019) Measuring the expected synergy in Spanish regional and national systems of innovation. The Journal of Technology Transfer, (44) 189-209.
  • LUNDVALL, B.A. (Ed.) (1992) National Systems of Innovation. Towards a Theory of Innovation and Interactive Learning. Pinter, London.
  • MALERBA, F. (2002) Sectoral systems of innovation and production. Research Policy, 31(2), 247-264.
  • MARTIN, B. (2012) The evolution of science policy and innovation studies. Research Policy, 41(7), 1219-1239.
  • MCCAULEY, J.L. (2006). Response to “worrying trends in econophysics”. Physica A: Statistical Mechanics and its Applications, 371(2), 601-609.
  • MCKELVEY, M. (1997) Using evolutionary theory to define systems of innovation. In Edquist, C. (Ed.) Systems of Innovation: Growth, Competitiveness And Employment. Pinter, London, pp. 200-222.
  • METCALFE, J.S. (1995) Technology systems and technology policy in an evolutionary framework. Cambridge Journal of Economics, 19, 25-46.
  • MOULAERT, F., SEKIA, F. (2003) Territorial innovation models: A critical survey. Regional Studies 37, 289–302.
  • NARULA, R., SANTANGELO, G. D. (2009) Location, collocation and R&D alliances in the European ICT industry. Research Policy, 38(2), 393-403.
  • NASIEROWSKI, W., ARCELUS, F.J. (2012) About Efficiency Of Innovations: What Can Be Learned From The Innovation Union Scoreboard Index. Procedia - Social and Behavioral Sciences, 58, 792-801.
  • NAUWELAERS, C., REID, A. (1995) Methodologies for the evaluation of regional innovation potential. Scientometrics, 34(3), 497-511.
  • NELSON, R.R. (Ed.) (1993) National Innovation Systems: A Comparative Analysis. Oxford University Press, New York.
  • OECD/Eurostat (2018) Oslo Manual - 2018. Guidelines for collecting and interpreting innovation data. Fourth Edition. OECD/European Commission.
  • PATI, S. P. (2009) Stress management and innovation: A thermodynamic view. Journal of Human Thermodynamics, (5), 22-32.
  • PELOROSSO, R., GOBATTONI, F., LEONE, A. (2017) The low-entropy city: A thermodynamic approach to reconnect urban systems with nature. Landscape and Urban Planning, 168, 22-30.
  • PLEROU, V., GOPIKRISHNAN, P., STANLEY, H.E. (2003) Econophysics: Two-phase behaviour of financial markets. Nature, 421(6919), 130.
  • PORTO-GOMEZ, I., OTEGI OLASO, J.R., ZABALA-ITURRIAGAGOITIA, J.M. (2016) ROSA, ROSAE, ROSIS: Modelling a regional, open, sectoral innovation system. Entrepreneurship & Regional Development, 28(1-2), 26-50.
  • PORTO-GOMEZ, I., ZABALA-ITURRIAGAGOITIA, J.M., LEYDESDORFF, L. (2019) Innovation Systems in México: A Matter of Missing Synergies. Technological Forecasting and Social Change, under review.
  • RICHARDS, G.R. (2000) Reconciling econophysics with macroeconomic theory. Physica A: Statistical Mechanics and its Applications, 282(1-2), 325-335.
  • RICKLES, D. (2008) Econophysics and the complexity of the financial markets. In: J. Collier & C. Hooker (Eds.), Handbook of the Philosophy of Science, vol. 10: Philosophy of Complex Systems, North Holland Elsevier Editions, New York.
  • ROSSER, J.B. (2008) Econophysics and economic complexity. Advances in Complex Systems, 11(05), 745-760.
  • SANTIAGO, F., DE FUENTES, C., DUTRÉNIT, G., GRAS, N. (2017) What hinders innovation performance of services and manufacturing firms in Mexico?. Economics of Innovation and New Technology, 26(3), 247-268.
  • SASLOW, W.M. (1999) An economic analogy to thermodynamics. American Journal of Physics, 67(12), 1239-1247.
  • SCHUMPETER, J.A. (1934) The theory of economic development. Harvard University Press, Cambridge, MA.
  • TREVIÑO, M. (1989) Regulation of technology transfer: The Mexican experience. The Journal of Technology Transfer, 14(1), 46-51.
  • TRIBUS, M., EVANS, R. (1962) A Contribution to the Theory of Thermoeconomics. University of California Los Angeles (UCLA). Dept. of Engineering. Report 62-3 6. [The beginning of a concrete formulation of thermoeconomics.]
  • VALDEZ-LAFARGA, C., LEÓN-BALDERRAMA, J.I. (2015) Hacia una taxonomía de los sistemas regionales de innovación en México. Economía, sociedad y territorio, 15(48), 517-553.
  • VERSPAGEN, B. (2005) Innovation and Economic Growth. In: J. Fagerberg, D. C. Mowery, R.R. Nelson (Eds.) The Oxford Handbook of Innovation. Oxford University Press, Oxford.
  • WEBER, H., MAHNKE, R., KAUPUŽS, J., STRÖMBERG, A. (2007) Models for highway traffic and their connections to thermodynamics. In: Traffic and Granular Flow’05 (pp. 545-550). Springer, Berlin, Heidelberg
  • WORLDMAPS (2018) Map of México states and capitals. Available: https://pasarelapr.com/images/map-of-mexicostates-and-capitals/map-of-mexico-states-and-capitals-1.jpg.
  • ZABALA-ITURRIAGAGOITIA, J.M., VOIGT, P., GUTIÉRREZ-GRACIA, A., JIMÉNEZ-SÁEZ, F. (2007a) Regional Innovation Systems: How to Assess Performance. Regional Studies, 41(5), 661-672.
  • ZABALA-ITURRIAGAGOITIA, J.M., JIMÉNEZ-SÁEZ, F., CASTRO-MARTÍNEZ, E., GUTIÉRREZ-GRACIA, A. (2007b) What indicators do (or do not) tell us about Regional Innovation Systems. Scientometrics, 70(1), 85-106.
  • ZAPART, C.A. (2015) Econophysics: A challenge to econometricians. Physica A: Statistical Mechanics and its Applications, 419, 318-327.
Fuente de los datos: Dialnet