The aim of the study was to determine the intensity and direction of structural change processes as well as their impact on labour productivity in Central Europe from 1995 to 2018. The shift-share analysis method was used to conduct an analysis of these interrelationships across nine sectors. In the majority of the analysed countries, a major driver of productivity was a shift of the workforce to sectors with a relatively high level of labour productivity. Structural change was the key driver of labour productivity in the Polish economy. Across the studied Central European countries, the highest level of labour productivity was recorded in hi-tech knowledge-intensive services, while hi-tech industries showed the fastest growth in terms of labour productivity. The sectors that drove the growth of labour productivity made a relatively low contribution to total employment. As a result, these sectors contributed much less to aggregate labour productivity growth than low knowledge-intensive services and low-technology industries.
REFERENCES(47)
1.
Applebaum E., Schettkat R. [1999], Are prices unimportant? The changing structure of the industrialized economies, Journal of Post Keynesian Economics, 22: 387–398.
Brondino G. [2018], Productivity growth and structural change in China (1995–2009): a subsystems analysis, Structural Change and Economic Dynamics, 49: 183–191.
Ceccobelli M., Gitto S., Mancuso P. [2012], ICT capital and labour productivity growth: a non-parametric analysis of 14 OECD countries, Telecommunications Policy, 36: 282–292.
Dietrich A. [2008], Does growth cause structural change, or is it the other way around? A dynamic panel data analysis for seven OECD countries, Empirical Economics, 43: 915–944.
Fagerberg J. [2000], Technological progress, structural change and productivity growth: a comparative study, Structural Change and Economic Dynamics, 11: 393–411.
Fernandez R., Palazuelos E. [2009], Demand, employment, and labour productivity in the European economies, Structural Change and Economic Dynamics, 20: 1–12.
Fernandez R., Palazuelos E. [2018], Measuring the role of manufacturing in the productivity growth of the European economies (1993–2007), Structural Change and Economic Dynamics, 46: 1–12.
Górajski M., Błażej M. [2020], A Control Function Approach to Measuring the Total Factor Productivity of Enterprises in Poland, Bank i Kredyt, 51 (3): 293–316.
Grela M., Majchrowska A., Michałek T., Mućk J., Stążka-Gawrysiak A., Tchorek G., Wagner M. [2017], Is Central and Eastern Europe converging towards the EU-15?, NBP Working Papers no. 264, Narodowy Bank Polski, Economic Research Department.
Growiec J. [2008a], A new class of production functions and an argument against purely labor-augmenting technical change, International Journal of Economic Theory, 4: 483–502.
Hagemejer J., Kolasa M. [2011], Internationalization and economic performance of enterprises: Evidence from Polish firm-level data, The World Economy, 34 (1): 74–100.
Hagemejer J., Mućk J. [2019], Export-led growth and its determinants: Evidence from Central and Eastern European countries, The World Economy, 42 (7): 1994–2025.
Kotlewski D., Błażej M. [2020b], Sustainability of the convergence between Polish and UE developed economies in the light of KLEMS growth accounting, Bank i Kredyt, 51 (2): 121–142.
McMillan M., Rodrik D. [2011], Globalization, structural change, and productivity growth, NBER Working Paper no. 17143, The National Bureau of Economic Research Working, Cambridge M. A.
Mucha-Leszko B. [2016], Technologie ICT, zmiany strukturalne i wydajność pracy jako czynniki rosnącej luki gospodarczej Unii Europejskiej wobec Stanów Zjednoczonych, Finanse, Rynki Finansowe, Ubezpieczenia, 3 (81): 179–190.
Najarzadeh R., Rahimzadeh F., Reed M. [2014], Does the Internet increase labour productivity? Evidence from a cross-country dynamic panel, Journal of Policy Modeling, 34: 986–993.
Oliner S. D., Sichel D. E. [2002], Information technology and productivity: where are we now and where are we going?, Federal Reserve Bank of Atlanta Economic Review, 87: 15–44.
Padilla-Peres R., Villarreal F. [2017], Structural change and productivity growth in Mexico, 1990–2014, Structural Change and Economic Dynamics, 41: 53–63.
Próchniak M. [2019], Zmiany łącznej produktywności czynników wytwórczych w dobie czwartej rewolucji przemysłowej, w: Kowalski A. M., Weresa M. A. (red.), Polska. Raport o konkurencyjności 2019: Konkurencyjność międzynarodowa w kontekście rozwoju przemysłu 4.0: 231–244, Oficyna Wydawnicza, Warszawa.
Próchniak M., Witkowski B. [2013], Time stability of the beta convergence among EU countries: Bayesian model averaging perspective, Economic Modelling, 30 (C): 322–333.
Rapacki R., Próchniak M. [2012], Wzrost gospodarczy w krajach Europy Środkowo-Wschodniej na tle wybranych krajów wschodzących, Gospodarka Narodowa, 253 (1–2): 65–96.
Timmer M., Szirmai A. [2000], Productivity growth in Asian manufacturing: the structural bonus hypothesis re-examined, Structural Change and Economic Dynamics, 11: 371–391.
Stefański M. [2020], To What Extent does Convergence Explain the Slowdown in Potential Growth of the CEE Countries Following the Global Financial Crisis?, Working Papers no. 2020/058, Warsaw School of Economics, Collegium of Economic Analysis.
Van Ark B., Timmer M. P. [2003], Asia’s productivity performance and potential: the contribution of sector and structural Change, University of Groningen & Conference Board, Groningen.
Vu K. [2017], Structural change and economic growth: Empirical evidence and policy insights from Asian economies, Structural Change and Economics Dynamics, 41: 64–77.
Winiecki J. [2014], Przekształcenia strukturalne w procesie rozwoju gospodarczego: modyfikacje i rozszerzenia, Ruch Prawniczy, Ekonomiczny i Socjologiczny, 2: 271–292.
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