Household Consumption Distribution in Rural China: A Consistent Two‐Step Estimation
Bibliographic record
Abstract
As China continues to experience rapid urbanization, understanding the distribution of rural household consumption presents important policy implications. We take a sample of 15,606 households from the National Rural Fixed Observation Point Survey conducted by China's Ministry of Agriculture in 2010. A consistent two‐step estimation based on the quadratic almost ideal demand system model is used to assess the distribution of living expenses across eight categories of goods and services. Results show that the price elasticity of food, clothing, and transportation and communication is relatively low, whereas that of durable goods, fuel, health and medicine, culture and education, and others is high. Demographic and regional variables also considerably affect living expenses. Our conclusions can serve as significant reference for evaluating changes in consumption structure and farmers’ welfare during the course of modernization in China. This type of analysis may also be conducted in other developing countries in general. En raison de la forte accélération de l'urbanisation en Chine, une meilleure compréhension de la distribution des dépenses de consommation des ménages ruraux permettra d’élaborer de meilleures politiques. Dans la présente étude, nous avons constitué un échantillon de 15 606 ménages à partir de l'enquête National rural Fixed Observation Point réalisée par le ministère de l'Agriculture de la Chine en 2010. Nous avons appliqué une méthode d'estimation en deux étapes, fondée sur le modèle QUAIDS (système de demande presque parfait quadratique), pour évaluer la distribution des frais de subsistance dans huit catégories de biens et services. Les résultats de notre étude ont montré que l’élasticité‐prix des aliments, de l'habillement, du transport et des communications est relativement faible, tandis que celle des biens durables, du carburant, des soins de santé et des médicaments, de la culture et de l’éducation, entre autres, est élevée. Les variables démographiques et régionales ont également un impact considérable sur le niveau des dépenses. Les conclusions de notre étude peuvent servir de référence pour évaluer les changements qui touchent la structure de la consommation et le bien‐être des agriculteurs durant la modernisation de la Chine. Ce genre d'analyse peut également être appliqué à d'autres pays en développement.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".