Better Opportunities for All : Vietnam Poverty and Shared Prosperity Update
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Notice bibliographique
Résumé
A massive reorganization of the rural \n labor market is underway, with workers leaving agriculture \n in large numbers. The agriculture sector has been \n consistently losing an average of 4 percent of its workforce \n annually since 2013. Most of those leaving agriculture have \n remained in rural areas and been absorbed into \n non-agriculture sectors, which have been creating rural \n nonagricultural jobs at a rapid pace. Nearly 4 million \n off-farm jobs have been created in rural areas since 2013, \n mostly in the industry sector, led by manufacturing. There \n are now almost as many non-agricultural jobs as agricultural \n jobs in rural areas. The share of people in wage employment \n in rural areas has risen dramatically, reaching 38 percent \n in the first quarter of 2018, compared with just 28 percent \n in 2013. Unlike densely populated areas, growth of \n non-agriculture sectors in more distant, low-density areas \n is normally based on absolute advantage, driven by external \n demand, and delivered mostly by small and medium enterprises \n (SMEs) due to the limited scope for achieving scale. \n Strategies to expand economic opportunities in these areas \n should aim to: (i) create a secondary economy supporting \n industries based on the regional absolute advantages; (ii) \n integrate these areas into the network economy to expand \n their market potential; and (iii) reduce the cost of \n migration to increase long-distance migration domestically. \n This report is therefore focused on identifying the \n challenges preventing, and ways to enhance, the poor’s \n participation in more productive income-generating \n opportunities. The analysis focuses exclusively on rural \n areas, where 95 percent of the current poor reside. It is \n presented in four sections. The first section presents the \n evolution of rural incomes in Vietnam since 2010, showing \n how non-agricultural incomes have grown in importance and \n broadly transformed rural livelihoods. The second section \n then explores the role of household and farm-specific \n attributes, alongside local economies, in facilitating \n non-agricultural employment, to identify the most critical \n factors holding back the poor from being integrated into \n off-farm activities. The third section turns to \n opportunities in agriculture. This focuses on identifying \n challenges and policy remedies for optimizing crop and \n land-use choices among lagging groups to maximize their \n agricultural incomes. The report concludes with a section on \n policy implications, building on the presented analysis to \n suggest policy options that provide a pathway for the \n economic integration of the poor.
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Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 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 découle