The export-economic growth nexus: The case of Saudi Arabia

  • 683 Views
  • 213 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Export strategies are the means by which the country can dispose of its domestic production surpluses to bridge successive deficits in national balances of payments and achieve economic growth. These strategies are of particular importance to the economy of Saudi Arabia, as it has opted in the last decade to diversify its economy and migrate gradually away from an economy heavily reliant on oil exports. Given the importance of diversifying the economy, this study aims to examine the relationship between exports and economic growth in the Saudi Arabian economy. The multivariate Granger Causality Test and cointegration, which is the most common model, was used in examining the short-term and long-term patterns of exports, non-oil exports, GDP, GDP per capita, and government spending from 1991 to 2016. The findings support a long-standing connection involving Saudi exports and the country’s rate of economic expansion. Unidirectional causality exists between exports, non-oil exports, and economic growth expansion, which means the growth rate rises as exports grow. In addition, the findings revealed the presence of bidirectional causality between the variables. Indeed, export promotion strategies are imperative to fulfill Saudi Arabia’s aspiration of robust and long-term economic growth.

Acknowledgment
The authors acknowledge the Deanship of Scientific Research at King Faisal University (KFU) in Saudi Arabia for the financial support provided under (Grant No. 186183).

view full abstract hide full abstract
    • Table 1. Description and operationalization of the variables
    • Table 2. Variables descriptive values
    • Table 3. Correlation matrix
    • Table 4. Unit root tests using ADF and PP tests
    • Table 5. Pairwise Granger causality tests among GDP, GDPC, GS, EXP, and NoEXP
    • Table 6. VAR lag order selection standards
    • Table 7. Johansen cointegration test (EXP, NoEXP, and GDP)
    • Table 8. Johansen cointegration test (EXP, NoEXP, and GDPC)
    • Table 9. Johansen cointegration test (EXP, NoEXP, and GS)
    • Table 10. Toda and Yamamoto causality test
    • Table 11. VAR Granger Causality/Block Exogeneity Wald tests
    • Conceptualization
      Saidi Ouassaf, Abdelkrim Guendouz, Nourredine Khababa
    • Formal Analysis
      Saidi Ouassaf, Nourredine Khababa
    • Methodology
      Saidi Ouassaf, Abdelkrim Guendouz, Nourredine Khababa
    • Project administration
      Saidi Ouassaf, Nourredine Khababa
    • Supervision
      Saidi Ouassaf, Nourredine Khababa
    • Validation
      Saidi Ouassaf
    • Visualization
      Saidi Ouassaf, Abdelkrim Guendouz
    • Writing – original draft
      Saidi Ouassaf, Abdelkrim Guendouz, Nourredine Khababa
    • Writing – review & editing
      Saidi Ouassaf, Abdelkrim Guendouz, Nourredine Khababa
    • Data curation
      Abdelkrim Guendouz, Nourredine Khababa
    • Funding acquisition
      Abdelkrim Guendouz
    • Investigation
      Abdelkrim Guendouz, Nourredine Khababa
    • Resources
      Abdelkrim Guendouz
    • Software
      Abdelkrim Guendouz, Nourredine Khababa