The farmers' livelihood risk and their coping strategy in the downstream of Shiyang River: A case of Minqin Oasis
Notice bibliographique
Résumé
There have always been kinds of livelihood risks in the environment, which will lower the level of the person or the family welfare, and restrict the region sustainable development.Shiyang River basin is located in the arid area of northwest China, and belongs to the typical arid inland basin. As the major economic activity unit in the downstream of the Shiyang River,the farmers are faced with the serious livelihood risk, which has aggravated the farmers' livelihood vulnerability. It is extremely urgent now to distinguish the key livelihood risk which the farmers are facing, explore the potential factors which has hindered the farmers to resist the risk and seek the effective risk coping strategy. Through stratified random sampling survey, participatory rural appraisal and investigation of plot, 484 households are investigated and sampled. Farmers are divided into four types: pure agriculture households, agriculture- dependent households, off- farm dependent households and off- farm households. Based on the investigation data, we identify the main livelihood risk which the farmers are faced with and their risk coping strategies, and analyze the factors which influence the farmers' risk strategy choice using the multi- logistic model. The results show:(1) The market risk, education risk and nature risk have been the main livelihood risks which the farmers are facing in the downstream of Shiyang River, but there are differences among different types of farmers. The top three livelihood risks facing the pure agriculture households and agriculture- dependent households are from market, education and nature; the risks facing the off-farm dependent households are from market, health and education; the risks facing the off- farm households are education, health and pension risk in sequence.(2) The main risk coping strategies include reducing consumption, going out to work, dissaving, asking relatives and friends for help and getting bank loans. However, there are some differences in the risk coping strategy choices among the different types of farmers. The first choice of off-farm households is going out to work, but the other three types of farmers would choose reducing consumption;(3) The most important factors which influence the choices of risk coping strategies are human capital, financial capital and social capital;material capital comes second; nature capital has the weakest influence. Finally, we present the risk control measures to reduce the livelihood risk possibility and give the suggestions to promote the farmers' risk coping ability.
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Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».