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Estimation of the Impacts of Non-Oil Traditional and NonTraditional Export Sectors on Non-Oil Export of Azerbaijan

Author

Listed:
  • Nicat Hagverdiyev

  • Ceyhun Mikayilov

  • Sabuhi Yusifov

Abstract

The significant share of oil sector of the Azerbaijan export portfolio necessitates promotion of non-oil exports. This study analyzes weather the commodities which contain the main share (more than 70%) in non-oil export are traditional or non-traditional areas, using the so-called Commodity-specific cumulative export experience function, for the 1995-2015 timeframe. Then, the impact of traditional and non-traditional exports on non-oil GDP investigated employing econometric model. The results of the study based on 16 non-oil commodities show that cotton, tobacco, and production of mechanic devices are traditional sectors in non-oil export. The estimation results of the model indicate that both, traditional and non-traditional non-oil export sectors have economically and statistically significant impact on non-oil GDP.

Suggested Citation

  • Nicat Hagverdiyev & Ceyhun Mikayilov & Sabuhi Yusifov, 2016. "Estimation of the Impacts of Non-Oil Traditional and NonTraditional Export Sectors on Non-Oil Export of Azerbaijan," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 2(4), pages 77-89, December.
  • Handle: RePEc:khe:scajes:v:2:y:2016:i:4:p:77-89
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • O24 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Trade Policy; Factor Movement; Foreign Exchange Policy
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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