Diversification in Indian Agriculture toward High‐Value Crops: The Role of Small Farmers
Bibliographic record
Abstract
Diversification by small farmers toward high‐value crops (fruits and vegetables [F & V]) that can raise farm incomes significantly has always been in question because of several reasons such as diseconomies of scale and lack of access to inputs such as capital and information. We present evidence that in India diversification toward high‐value crops exhibits a pro‐smallholder (rather than anti‐smallholder) bias. The smallholders however play a proportionally larger role in vegetables than in fruits cultivation. These patterns are consistent with simple comparative advantage‐based production choices. Even with small landholdings if labor endowments are high, such farmers diversify toward F & V. Though fruits cultivation is also labor intensive relative to cereals, it is less so relative to vegetables. Greater capital intensity implies a comparatively important role of credit in fruits. The results are robust to several tests on specification including those related to self‐selection. Chez les petits exploitants agricoles, la diversification en faveur de cultures à valeur élevée (fruits et légumes) permettant d’accroître considérablement le revenu agricole a toujours été remise en question pour diverses raisons, notamment les déséconomies d’échelle et le manque d’accès aux intrants comme le capital et l’information. Dans le présent article, nous montrons qu’en Inde, la diversification en faveur de cultures à valeur élevée semble plutôt favorable que défavorable aux petits exploitants agricoles. Toutefois, les petits exploitants sont proportionnellement plus présents dans la culture maraîchère que dans la culture fruitière. Ces observations concordent avec les choix d’une production fondée sur les avantages comparatifs. Même dans le cas des petites exploitations, lorsque les besoins de main‐d’œuvre sont élevés, elles se tournent vers les cultures fruitière et maraîchère. Bien que la culture fruitière soit une activitéà forte intensité de main‐d’œuvre comparativement à la culture céréalière, elle l’est moins que la culture maraîchère. L’intensité de capital élevée de la culture fruitière signifie que le crédit joue aussi un rôle important. Les résultats de plusieurs tests de spécification sont robustes, y compris ceux liés à l’auto‐sélection.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".