Key sectors after a decade of transition: Evidence from Poland

• Autorzy: Gurgul H. , Lach Ł.

Identyfikatory

DOI

10.7494/manage.2015.16.1.39

• Języki publikacji: EN

Abstrakty

EN

This paper is one of the first studies dedicated to the extensive examination of the dynamics of key sectors in Poland in the period of transition. The research was based on the maximum entropy decomposition of the Leontief inverse applied to the highly-disaggregated input-output tables covering the period of 2000–2005. The results allow formulating the list of sectors, which, more or less, have preserved the status of the key sectors in Poland. In turn, some sectors (especially the financial-intermediation- and food-and-agriculture-related ones) have significantly derailed, while services-related sectors (including the transport, tourism, and trade services) have clearly gained in importance. These facts, together with rising importance of certain manufacturing sectors, may suggest that Poland has largely managed to avoid the most negative consequences of the process of de-industrialization, which has been taking place in CEE from the beginning of transition.

Słowa kluczowe

EN

Poland; input-output matrices; transition; key sector identification

• Wydawca: Wydawnictwa AGH
• Czasopismo: Managerial Economics
• Rocznik: 2015
• Tom: Vol. 16, no. 1
• Strony: 39--79
• Opis fizyczny: Bibliogr. 21 poz., tab.

Twórcy

autor

Gurgul H.

• AGH University of Science and Technology, Faculty of Management, Department of Applications of Mathematics in Economics

autor

Lach Ł.

• AGH University of Science and Technology, Faculty of Management, Department of Applications of Mathematics in Economics

Bibliografia

• [1] Białas, S. and Gurgul, H. (1998) ‘Hypothesis About the Second Eigenvalue of the Leontief Matrix’, Economic Systems Research-Journal of International Input-Output Association, vol. 10, pp. 285–289.
• [2] Chenery, H.B. and Watanabe, T. (1958) ‘International comparisons of the structure of production’, Econometrica, vol. 26(4), pp. 487–521.
• [3] Ćmiel, A. and Gurgul, H. (1996a) ‘Dynamic input-output models with stochastic time lags’, International Journal of Systems Science, vol. 27, pp. 857–861.
• [4] Ćmiel, A. and Gurgul, H. (1996b) ‘Dynamic Input-Output Models with Stochastic Matrices and Time Lags’, Economic Systems Research-Journal of International Input-Output Association, vol. 8, pp. 133–143.
• [5] Ćmiel, A. and Gurgul, H. (1997), ‘Stochastic Backward-Lag-Type Leontief Model’, The Central European Journal for Operations Research and Economics, vol. 5, pp. 34–45.
• [6] Ćmiel, A. and Gurgul, H. (2002) ‘Application of maximum entropy principle in key sector analysis’, Systems Analysis, Modelling, Simulation: A journal of mathematical modelling and simulation in systems analysis, vol. 42(9), pp. 1361–1376.
• [7] Defourny, J. and Thorbecke, E. (1984) ‘Structural path analysis and multiplier decomposition within a social accounting framework’, Economic Journal, vol. 94, pp. 111–136.
• [8] Gurgul, H. and Lach, Ł. (2013) ‘Financial Development and Economic Growth in Poland in Transition: Causality Analysis’, Czech Journal of Economics and Finance, vol. 62 (4), pp. 347–367.
• [9] Gurgul, H. and Lach, Ł. (2014) ‘Globalization and economic growth: Evidence from two decades of transition in CEE’, Economic Modelling, vol. 36, pp. 99–107.
• [10] Hewings, G.J.D. (1982) ‘The empirical identification of key-sectors in an economy: a regional perspective’, The Developing Economies, vol. 20, pp. 173–195.
• [11] Hewings, G.J.D. and Romanos, M.C. (1981) ‘Simulating less developed regional economies under conditions of limited information’, Geographical Analysis, vol. 13(4), pp. 373–390.
• [12] Kalvet, T. and Kattel, R. (2006) Creative Destruction Management: Meeting the Challenges of the Techno-economic Paradigm Shift,Tallinn:Praxis.
• [13] Kullback, S. (1970) Information Theory and Statistics, New York: Oxford University Press.
• [14] Lenain, P. (2000) ‘Poland’s successful transition’, OECD Observer (220) [Online] Available: http://www.oecdobserver.org/news/archivestory.php/aid/212/Polands_successful_transition.html [12 May 2014].
• [15] Rasmussen, P. (1956) Studies in Inter-Sectoral Relations, Copenhagen: Einar Harks.
• [16] Sethna, J. (2006) Statistical Mechanics, New York: Oxford University Press.
• [17] Shannon, C.E. and Weaver, W. (1964) The Mathematical Theory of Communications, Urbana IL: University of Illinois Press.
• [18] Sherman, J. and Morrison, W.J. (1950) ‘Adjustment of an inverse matrix corresponding to a change in one element of a given matrix’, Annals of Mathematical Statistics, vol. 21, pp. 124–127.
• [19] Sonis, M. and Hewings, G.J.D. (1992) ‘Coefficients change in input-output model: theory and applications’, Economic Systems Research, vol. 4, pp. 143–157.
• [20] Sonis, M. and Hewings, G.J.D. (1989) ‘Errors and sensitivity in input-output analysis: new approach’, in Miller, R., Polenske, K. and Rose, A. (eds), Frontiers in Input-Output Analysis, New York: Oxford University Press.
• [21] Theil, H. (1967) Economics and Information Theory, New York: Elsevier.