Capital Structure and Financial Performance of Moroccan Agricultural Small- and Medium-Sized Enterprises: Moderating Effects of Government Subsidies
Bibliographic record
Abstract
In the context of implementing the new agricultural strategy, “Generation Green 2020–2030”, Moroccan agricultural SMEs are benefiting from specific lines of credit and significant financial incentives. This study focuses on assessing how the capital structure influences the financial performance of these medium-sized enterprises, based on an analysis of a sample of 30 agricultural SMEs over a period of 4 years from 2019 to 2022. This examination delves into the effects of debt, government subsidies, and their combined impact on the return on equity and assets of these SMEs. The findings reveal a significant negative correlation between capital structure and the financial performance of agricultural SMEs. This underscores the importance of advocating for self-financing in line with the pecking order theory, as debt appears to significantly diminish asset returns. Additionally, although government subsidies alone do not significantly influence enterprise profitability, their interplay with capital structure—especially long-term debt—exhibits a detrimental moderating effect on asset returns. This suggests that subsidies play a significant role in moderating the relationship between capital structure and SME financial performance, albeit with an adverse effect.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".