Competitive Advantage of GCC Date Palm Sector in the International Market: Market Shares, Revealed Comparative Advantages, and Trade Balance Indexes
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Bibliographic record
Abstract
In the GCC countries, date-palm sector is strategically important for the economic, social and environmental development. Therefore, markets globalization has had a huge impact on the comparative advantages of date exports from the GCC countries, highlighting a new range of necessary determinants for competitiveness of these countries on the international date palm date market. The current study is conducted in the framework of the “Development of sustainable date palm production systems in the GCC countries of the Arabian Peninsula” project funded by the Gulf Cooperation Council (GCC) and led by the International Center for Agricultural Research in the Dry Areas (ICARDA), and aims to provide updated estimates of competitiveness indicators of the GCC countries on the international market of date palm.The study starts by a summary description of updated figures concerning date’s production, yields, and consumption trends of the different GCC countries. This first part of the research paper also includes a presentation of the date trade matrix (destinations of exports and imports) of the considered countries. In a second part of this section, a set of competitiveness indicators were calculated to better reflect on the date trade balances performances of each of the GCC countries. The measures of competitiveness indicators conducted in this paper include: i) the Market Share (MS); ii) the Revealed Comparative Advantage (RCA); and iii) the Trade Balance Index (TBI). The Market share indicator was used to identify size advantages and the degree of specialization of a given country on the international market of a given commodity. The RCA has been defined as a measure of performance of international trade competitiveness of a given country for a given commodity. The TBI is used to analyze whether a country has specialization in export (as net-exporter) or in import (as net-importer) for a specific group of products. Data from both FAOSTAT and UN COMTRADE sources was used for the calculation of these indicators. Empirical findings show that GCC and North African countries are holding more than 70% of the international market of dates. The sum of market shares of the 6 GCC countries was about 30% of the international date market during 2015. This is showing that these countries together have strong potential for dominating the international date market. In terms of growth, it was clear that all GCC countries, including the least present on the international market are progressing quite positively with increasing shares from one year to another. In terms of RCA, the highest RCA value was recorded for Saudi Arabia (KSA). It was for about 43.5 in 2013, indicating that the country date export share for 2013 is 43.5% higher than its share in total world export of agricultural goods. Finally, TBI results show the existence of structural differences between KSA and UAE in terms of dates export and import patterns. These two countries are both the main players in date export in the GCC area. However, even though UAE is a net exporter of date palm, which its TBI is much lower than the TBI of KSA, showing that UAE is also importing a higher proportion of its exported dates compared to KSA. The date trade patterns among the GCC countries shows that there is a wide scope of coordination between the different trade strategies of these countries, through specialization and division of tasks. This can generate important opportunities for gaining more weight on the world market of dates.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it