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Integrating Learning Region Objectives In Development Strategies. Can Romania Learn From International Experience?


  • Pauna, Carmen Beatrice

    (Institute for Economic Forecasting, Romanian Academy, Bucharest)

  • Gabor, Daniela

    (Institute for Economic Forecasting, Romanian Academy, Bucharest)


Nowadays, the competitive advantage is derived from the creation and application of knowledge through learning. Furthermore, the knowledge economy is believed to have a distinctive geography - regional clusters of innovation, technology, and human and social capital, as illustrated by Silicon Valley or Cambridgeshire in the UK. Regional policy in the EU has changed accordingly in the recent years. The paper points out the reasons that regional economics should occupy a position at the core of economics. Also, the paper presents the advantages and disadvantages the countries in transition have in meeting the requirements of regional development and describes the steps needed for developing the regional technological infrastructure.

Suggested Citation

  • Pauna, Carmen Beatrice & Gabor, Daniela, 2002. "Integrating Learning Region Objectives In Development Strategies. Can Romania Learn From International Experience?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 111-115, December.
  • Handle: RePEc:rjr:romjef:v::y:2002:i:4:p:111-115

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    References listed on IDEAS

    1. Eroglu, Cuneyt & Croxton, Keely L., 2010. "Biases in judgmental adjustments of statistical forecasts: The role of individual differences," International Journal of Forecasting, Elsevier, vol. 26(1), pages 116-133, January.
    2. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2009. "Expert opinion versus expertise in forecasting," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 334-346.
    3. Philip Hans Franses & Rianne Legerstee, 2010. "Do experts' adjustments on model-based SKU-level forecasts improve forecast quality?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(3), pages 331-340.
    4. Chang, Chia-Lin & Franses, Philip Hans & McAleer, Michael, 2011. "How accurate are government forecasts of economic fundamentals? The case of Taiwan," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1066-1075, October.
    5. Fildes, Robert & Goodwin, Paul & Lawrence, Michael & Nikolopoulos, Konstantinos, 2009. "Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning," International Journal of Forecasting, Elsevier, vol. 25(1), pages 3-23.
    6. Franses, Philip Hans & Kranendonk, Henk C. & Lanser, Debby, 2011. "One model and various experts: Evaluating Dutch macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 482-495.
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    More about this item


    regional development; transition; learning regions;

    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General


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