Farmer Participation, Processing, and the Rise of Dairy Production in Greater Beijing, P. R. China
Bibliographic record
Abstract
With rapid income growth, dairy production and consumption in China have increased significantly. The emergence of the dairy sector provides opportunities for farmers to participate in a high‐value, potentially more lucrative enterprise. The overall goal of this paper is to analyze the major determinants of farmer participation in dairy production. Our main questions include whether or not the pace of the emergence of the dairy processing industry has affected the ability of farmers (especially small and relatively poor ones) to participate in dairy production; and whether or not it has limited the expansion of their herd size. Based on household, village, and processor surveys conducted in the Greater Beijing region, our analysis indicates that the location of dairy processing firms is one key factor that determines the participation of farmers in dairy production. Although other factors affect participation and herd size, including road access and the ability to find employment off the farm (which affects the opportunity cost of household members), the proximity to a dairy processor is shown to be one of the major factors that has encouraged the growth of dairy production for a given farmer in a specific region during the past decade. The results also show that poor, less educated farmers with relatively less access to land are not excluded from the expansion of the Greater Beijing dairy market. La production laitière et la consommation ont augmenté considérablement en Chine, en raison de la croissance rapide du revenu. Pour les producteurs, la croissance du secteur laitier offre des occasions de se lancer dans des activités à forte valeur, potentiellement plus lucratives. L’objectif global du présent article consiste à analyser les principaux déterminants de la participation des producteurs à la production laitière. Nous nous sommes alors posé deux questions. Le rythme d’émergence de l’industrie de la transformation de produits laitiers influence‐t‐il ou non la capacité des producteurs (en particulier les petits producteurs de condition modeste) à se lancer dans la production laitière? Le rythme d’émergence de cette industrie limite‐t‐il ou non l’expansion de la taille de leurs troupeaux? Une analyse des enquêtes menées auprès des ménages, des villages et des transformateurs dans l’agglomération pékinoise a révélé que le lieu où se trouvent les entreprises de transformation de produits laitiers est l’un des principaux facteurs qui déterminent la participation des producteurs à la production laitière. Bien que d’autres facteurs influencent la participation des producteurs et la taille des troupeaux, notamment l’accès routier et la capacitéà trouver un emploi à l’extérieur de la ferme (qui influence le coût d’opportunité/d’option des membres du ménage), la proximité d’une usine de transformation serait l’un des principaux facteurs qui ont encouragé la croissance de la production laitière, pour un producteur donné dans une région en particulier, au cours des dix dernières années. Les résultats ont également indiqué que les producteurs de condition modeste, moins instruits et ayant un accès restreint à des terres ne sont pas exclus de l’expansion du marché laitier dans l’agglomération pékinoise.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".