Spatiotemporal Patterns in Production and Consumption of Major Foods in Qinghai, China
Bibliographic record
Abstract
Food security is an important foundation of national security. Since China entered a new era in 2012, the supply of agricultural and animal husbandry products in Qinghai has continuously enhanced. However, the implementation of ecological policies such as Grain for Green and Grassland Ecological Compensation restricted the cultivation and grazing areas. At the same time, with the improvement in living standards and food consumption demand of local residents, the contradiction between human beings and land has become increasingly prominent. It is necessary to analyze the balance between food supply and demand to evaluate food security. This study used supply-demand analysis and spatial autocorrelation analysis based on county-level statistical data on production and consumption collected through random sampling surveys to reveal the characteristics of the production and consumption of the main food types in Qinghai during 2012-2022 as well as to analyze the food self-sufficiency changes and their spatial clustering features. The results showed that the regions with higher grain and meat production in Qinghai were concentrated in the northeast in the past decade, while the regions with higher consumption were mainly in the counties with larger populations. At the county level, grain could not achieve self-sufficiency, except in northeastern Qinghai; meat was self-sufficient in most counties. Through regional allocation, Qinghai had achieved grain and meat self-sufficiency at the provincial level. The self-sufficiency of grain and meat showed obvious clustering, with high-value clusters of grain self-sufficiency and low-value clusters of meat both distributed in the provincial capital and surrounding areas, which were related to the adjustment of urban residents' dietary structure from staple foods to diversified foods. This study provides a scientific basis for decision makers when adjusting the agricultural and animal husbandry structure as well as the dietary structure of residents to ensure food security and the sustainable utilization of land resources.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 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".