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Technology choices and growth: testing and expanding the propositions of new structural economics in transition economies

Author

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  • Randolph Luca Bruno

    (UCL School of Slavonic and East European Studies)

  • Elodie Douarin

    (UCL School of Slavonic and East European Studies)

  • Julia Korosteleva

    (UCL School of Slavonic and East European Studies)

  • Slavo Radosevic

    (UCL School of Slavonic and East European Studies)

Abstract

We explore the relationship between broad development policies, finance and growth as approached by New Structural Economics (NSE) (Lin, 2012) with special reference to transition economies. On a sample of 164 economies for 1963-2004, our analysis has confirmed Lin’s (2012) conclusions that the type of development policy pursued, as captured by the Technology Choice Index (TCI), has significant effects on long term growth. To complement this finding, we demonstrate a time variant effect of TCI on growth whereby TCI is especially relevant prior to the 1990s (more than prior to the 80s). We also show that the effects of TCI on growth differ for low and middle income countries as compared to high income countries. For the former two groups the relationship is negative and positive for high income countries. Further to this, we also show that there is a significant relationship between financial sector distortions and other economic distortions typical of comparative advantage defying strategies as captured by high values of TCI. These results are especially strong for the 34 countries with the highest TCI values in our sample. We also find that a larger deviation in actual financial structure from its estimated optimal ratio further reinforces the negative effect of TCI on growth. Overall our results offer a strong confirmation of NSE’s propositions regarding the relationship between growth and TCI and TCI and financial development, on average and for the most distorted economies. However, the basic propositions of NSE have not been confirmed as a general case for transition economies (TE). Indeed we find that the relationships investigated do not follow the same patterns for TE as a group, and we further identify different patterns for CEEB countries on the one hand and CIS on the other hand. We propose some possible explanations of why these countries might be behaving differently.

Suggested Citation

  • Randolph Luca Bruno & Elodie Douarin & Julia Korosteleva & Slavo Radosevic, 2014. "Technology choices and growth: testing and expanding the propositions of new structural economics in transition economies," UCL SSEES Economics and Business working paper series 127, UCL School of Slavonic and East European Studies (SSEES), revised Oct 2014.
  • Handle: RePEc:see:wpaper:2014:127
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    References listed on IDEAS

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    Cited by:

    1. Zoran Aralica & Nebojša Stojčić, 2015. "Regional Patterns of Deindustrialization and Prospects for Reindustrialization in South and Central East European Countries," wiiw Balkan Observatory Working Papers 118, The Vienna Institute for International Economic Studies, wiiw.
    2. Svilena MIHAYLOVA & Silviya BRATOEVA-MANOLEVA, 2018. "Structural changes and wage inequality in the Bulgarian economy," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9, pages 205-227, December.

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    More about this item

    Keywords

    New Structural Economics; Technology Choice Index; Transition Economies;
    All these keywords.

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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