Input-Output Linkages And Network Contagion In Greece:Demand And Supply View

  1. Ana Salomé García Muñiz 1
  2. Carmen Ramos Carvajal 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Revista:
Applied econometrics and international development

ISSN: 1578-4487

Año de publicación: 2015

Volumen: 15

Número: 2

Páginas: 35-52

Tipo: Artículo

Otras publicaciones en: Applied econometrics and international development

Resumen

The use of linkages to compare productive structures and discover key sectors is an active focus of research in input-output field. In this paper, an extension of the called multilevel indicators (García et al., 2008) to the key sector determination is proposed. The multilevel indicators not only describe industries with a strong influence on the expansion of other sectors in an economy but the immediacy and the transmission capacity of their impacts. The proposal opens a new inquiry about how the relational structure affects the contagion diffusion and the robustness of the economic system. The empirical key sector analysis will focus on the Greek economy. The study deals with the structural change of Greek economy in the last decade (2000-2010). Conclusions about the relevance of some activities for the development of Greek economy are offered.

Referencias bibliográficas

  • Aroche-Reyes, F. (2002): “Structural transformations and important coefficients in the North American economies”, Economic Systems Research, 14, pp. 257–273. Bramoullé, Y., Kranton, R. (2007): “Risk-sharing networks”, Journal of Economic Behavior & Organization, 64, 3-4, pp. 275-294.
  • Cainelli, G., Montresor, S., Vittuci, G. (2012): “Production and financial linkages in inter-firm networks: structural variety, risk-sharing and resilience”, Journal of Evolutionary Economics, 22, 4, pp. 711- 734.
  • Christodoulakis, N.M., Kalyvitis, S.C. (1998): “The Second CSF (Delors’ Package) for Greece and its Impact on the Greek Economy”, Economics of Planning, 31, pp. 57-79.
  • Damianakos, S. (1997): “The Ongoing Quest for a Model of Greek Agriculture”, Sociologia Ruralis, 37, 2, pp. 190–208.
  • Dietzenbacher, E., Romero, I., Bosma, N. (2005): “Using average propagation lengths to identify production chains in the Andalusian Economy”, Estudios de Economía Aplicada, 23, 2, pp. 405-422.
  • Drakopoulos, S.A., Theodossiou, I. (1991): “Kaldorian approach to Greek economic growth”, Applied Economics, 23, 10, pp. 1683-1689.
  • Duchin, F., Levine, S. (2010): “Embodied Resource Flows and Product Flows. Combining the Absorbing Markov Chain With the Input-Output Model”, Journal of Industrial Ecology, 14, 4, pp. 586-597.
  • Eckelman, M.J; Daigo, I. (2008): “Markov chain modeling of the global technological lifetime of copper”, Ecological Economics, 67, 2, pp. 265-273.
  • Fafchamps, M., Gubert, F. (2007): “The formation of risk sharing networks”, Journal of Development Economics, 83, 2, pp. 326-350.
  • Friedkin, N. (1991): “Theoretical Foundations for Centrality Measures”, American Journal of Sociology, 96, 1, pp. 1478-1504.
  • Friedkin, N.E. (2001): “Norm Formation in Social Influence Networks”, Social Networks, 23, pp. 167-189.
  • Galani-Moutafi, V. (2004): “Tourism research on Greece. A Critical Overview”, Annals of Tourism Research, 31, 1, pp. 157-179.
  • García Muñiz, A. S., Morillas, A., Ramos, C (2010): “Spanish and European innovation diffusion: a structural hole approach in the input–output field”, The Annals of Regional Science, 44, pp. 147–165.
  • García Muñiz, A.S.; Morillas, A. y Ramos, C. (2011): "Core periphery valued models in input-output field: A scope from network theory", Papers in Regional Science, 90, 1, pp. 111-121.
  • García, A.S.; Morillas, A.; Ramos, C. (2008): “Key sectors: A new proposal from Network Theory”, Regional Studies, 42, 7, pp. 1013-1030.
  • Gim, H.U. Kim, K. (2009): “A Study on the Building of a New “Output-Output Model” and Its Usefulness: Based on a Comparative Analysis of the Input-Output Model,” The Annals of Regional Science, 43, 3, pp. 807-829.
  • Glückler, J. (2007): “Economic geography and the evolution of networks”, Journal of Economic Geography, 7, pp. 619-634.
  • Hewings G. J. D., Sonis, M. , Jensen R. C. (1988): “Fields of influence of technological changein input–output models”, Papers of the Regional Science Association, 64, pp. 25–36.
  • Jackson, M. (2010): “Research Opportunities in the Study of Social and Economic Networks”, White paper prepared for the NSF/SBE. Available in: http://www.stanford.edu/~jacksonm/networkwhitepaper.pdf
  • Jackson, M. O. (2005): A Survey of Models of Network Formation: Stability and Efficiency, in Gabrielle Demange, G. and MyrnaWooders, M. (eds). Group Formation in Economics; Networks, Clubs and Coalitions, Cambridge University Press, UK.
  • Jones, R.W.; Kierzkowski, H. (2005): “International fragmentation and the new economic geography”, North American Journal Economy Finance, 16, pp.1–10.
  • Kistsak, M., Gallos, L., Havlin, S., Liljeros, F., Muchnik, L., Stanley, H., Makse, H. (2010): “Identification of influential spreaders in complex networks”, Nature Physics, 6, pp. 888-893.
  • Kuusisto, J. (2008): “R&D in Services –Review and Case Studies”, CREST Inform, R&D in Services Working Group, European Commission.
  • Leitner, H, Pavlik, C., Sheppard, E. (2008): “Networks, governance and the politics of scales: inter-urban networks and the European Union”, in Herod, A. & Wright, M. (eds.): Geographies of Power: Placing Scale, Malden, MA: Blackwell.
  • Lenzen, M. (2001): “A Generalized Input-Output Multiplier Calculus for Australia”, Economic Systems Research, 13, pp. 65-92.
  • Leontidou, L. (1994): “Greece: Prospects and Contradictions of Tourism in the 1980s”, in Williams, A., Shaw, G. (eds): Greece: Tourism and Economic Development: Western European Experiences, Wiley, New York.
  • Leontief, W. (1937) “Interrelation of Prices, Output, Savings and Investment. A Study in Empirical Application of the Economic Theory of General Interdependence.” The Review of Economics and Statistics Vol. XIX No. 3 pp. 109-132.
  • Lopes, J., Diaz, J., Amaral, J. (2012): “Assessing economic complexity as interindustry connectedness in nine OECD countries”, International Review of Applied Economics, 26, 6, pp. 811-827.
  • Luo, J. (2013): “Which industries to bail out first in economic recession? Ranking us industrial sectors by the power-of-pull”, Economic Systems Research, 25,2, pp. 157-169.
  • Markatou, M. (2011): “A taxonomy of innovations in Greece: implications for innovation policy and management”, Procedia-Social and Behavioral Sciences, 25, pp. 115-122.
  • Montresor, S., Vittuci, G. (2009): “Applying social network analysis to input-output based innovation matrices: an illustrative application to six OECD technological systems for the middle 1990s”, Economic Systems Research, 21, 2, pp. 129-149.
  • Morillas, A. (1983): La teoría de grafos en el análisis input-output. La estructura productiva andaluza. Málaga: Editorial Universidad de Málaga.
  • Morillas, A., Díaz, B. (2008): "Key Sectors, Industrial Clustering and Multivariate Outliers", Economic Systems Research, 20, 1, pp. 57-73.
  • Mylopoulos, Y., Kolokytha, E., Demetres, T. (2003): “Urban Water Management in Greece. Present Conditions and Perspectives of Sustainability”, Water International, 28, 1, pp. 43-51.
  • Oosterhaven, J.; Bouwmeester, M. (2013): “The Average Propagation Length: Conflicting macro, Intra-industry, and Interindustry Conclusions”, International Regional Science Review, 36, 4, pp. 481-491.
  • Oosterhaven, J.; Stelder, D. (2002): “Net Multipliers Avoid Exaggerating Impacts: With a Bi-regional Illustration for the Dutch Transportation Sector”, Journal of Regional Science, 42, 3, pp. 533-543.
  • Rasmussen, P. (1956): Studies in Intersectoral Relation. North Holland, Amsterdam.
  • Robinson S., Markandya, A. (1973): “Complexity and adjustment in input–output systems”, Oxford Bulletin of Economics and Statistics, 35, pp. 119–134.
  • Sánchez-Chóliz, J., Duarte, R. (2003): Production chains and linkage indicators, Economic Systems Research, 15, pp. 481-494.
  • Semitiel García, M., Noguera Méndez, P. (2012): “The structure of inter-industry systems and the diffusion of innovations: The case of Spain”, Technological Forecasting and Social Change, 79, 8, pp. 1548-1567.
  • Siriopoulos, C.S., Asteriou, D. (1998): “Testing for Convergence Across the Greek Regions”, Regional Studies, 32, 6, pp. 537-546.
  • Ter Wal A.L.J, Boschma R.A. (2008): “Applying social network analysis in economic geography: framing some key analytic issues”, The Annals of Regional Science, 43, 3, pp. 739-756.
  • Tountas, Y., Karnaki, P., Pavi, E., Souliotis, K. (2005): “The “unexpected” growth of the private health sector in Greece”, Health Policy, 74, pp. 167-180.
  • Watts, D.J. (2002): “A simple model of global cascades on random networks”, Proceedings of the National Academy of Sciences, 99, pp. 5766-5771.
  • Yamaguchi, K. (1994): “The flow of information through social networks: diagonal-free measures of inefficiency and the structural determinants of inefficiency”, Social Networks, 16, 1, pp.57-86.
  • Yan, C., Ames, E. (1965): “Economic interrelatedness”, Review of Economic Studies, 32, pp. 299–310.