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Determinants Of Regional Competitiveness In Romania - A Panel Data Approach

Author

Listed:
  • Mihaela-Nona, CHILIAN

    (Institute for Economic Forecasting of the Romanian Academy.)

  • Mihaela, SIMIONESCU

    (Institute for Economic Forecasting of the Romanian Academy.)

  • Marioara, IORDAN

    (Institute for Economic Forecasting of the Romanian Academy.)

Abstract

In this study, a few panel data models were estimated to analyze the regional competitiveness in the 42 counties (including Bucharest) of Romania. The dynamic panel with Arellano "Bover/Blundell" Bond estimators and robust standard errors showed that during 2000-2012 the GDP in the current period depends on the average number of employees and on the GDP value of the previous period. For a fixed effect model, 34.41% (Rho) of the total variation is due to the differences within the counties. The Moran's I index in 2000 is negative and close to zero (0.035) suggesting a negative but non-significant spatial autocorrelation. In 2012, the Moran I's suggests a positive and non-significant spatial auto-correlation.

Suggested Citation

  • Mihaela-Nona, CHILIAN & Mihaela, SIMIONESCU & Marioara, IORDAN, 2014. "Determinants Of Regional Competitiveness In Romania - A Panel Data Approach," Management Strategies Journal, Constantin Brancoveanu University, vol. 26(4), pages 13-20.
    • Handle: RePEc:brc:journl:v:26:y:2014:i:4:p:13-20
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    References listed on IDEAS

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    More about this item

    Keywords

    competitiveness; panel; dynamic panel; GDP; Moran's I index;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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