Export promotion programmes and the export performance of Ghanaian firms
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine the mediating role of foreign market attractiveness on the association between export promotion programmes (EPPs) and export performance in the context of Ghanaian firms. In addition to understanding how EPPs help enhance the attractiveness of the foreign markets and thus export performance, the study contributes to the under-developed export performance literature regarding Sub-Saharan African (SSA) firms. Design/methodology/approach A mixed method approach is utilised. In the first instance quantitative analysis is undertaken on 116 Ghanaian firms via data collected using the drop and pick method. Qualitative data involving interviews with 18 managers of exporting firms are then reported upon. Findings The study finds full mediation effects for foreign market attractiveness. This suggests that EPPs can enhance export performance via the intervening variable of foreign market attractiveness. Specifically, EPPs should be considered as a resource in managers’ ability to develop capabilities in exporting, but need to be considered in the context of other intervening factors such as perceived foreign market attractiveness. Originality/value The literature regarding EPPs and export performance mostly overlook any link between EPPs and other determinants of export performance towards establishing an indirect relationship between the constructs. The study fills this important gap; in particular, in respect of SSA firms and specifically in the context of Ghana.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".