Impact de la formation en prévisions climatiques saisonnières sur l’agriculture au Sénégal (notice n° 597491)

détails MARC
000 -LEADER
fixed length control field 02427cam a2200301 4500500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250121152154.0
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title fre
042 ## - AUTHENTICATION CODE
Authentication code dc
100 10 - MAIN ENTRY--PERSONAL NAME
Personal name Ndiaye, Malick
Relator term author
245 00 - TITLE STATEMENT
Title Impact de la formation en prévisions climatiques saisonnières sur l’agriculture au Sénégal
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2023.<br/>
500 ## - GENERAL NOTE
General note 1
520 ## - SUMMARY, ETC.
Summary, etc. Cette étude cherche à examiner l’impact de la formation en prévisions climatiques saisonnières sur l’agriculture, notamment sur les rendements et la gestion des risques agricoles. Les données proviennent d’un échantillon de 1 056 ménages agricoles, scindés en ménages formés et non formés à l’utilisation des prévisions climatiques saisonnières. En utilisant deux méthodes d’appariement, le score de propension et la pondération inverse sur les probabilités, les auteurs estiment que la formation en prévisions climatiques augmente de 20% les chances d’améliorer les rendements agricoles et améliore dans 24% des cas la gestion des risques agricoles. Cependant, l’impact est hétérogène et diffère selon le mode d’utilisation des connaissances issues de la formation et les quartiles de revenu.
520 ## - SUMMARY, ETC.
Summary, etc. This study investigates the impact of seasonal climate forecasting training on agriculture, focusing on yields and risk management. Data were collected from 1 056 farm households, split into trained and untrained households in climate forecasting. Using two matching methods, the propensity score and inverse probability weighting models, the authors find that climate forecasting training increases the chances of improving agricultural yields by 20%, and improves agricultural risk management in 24% of cases. The impact, however, is heterogeneous and depends on how the knowledge acquired during the training is utilized, as well as on income quartiles.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element formation
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element prévisions climatiques
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element risques agricoles
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element méthodes d’appariement
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element rendements agricoles
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element agricultural yields
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element agricultural risks
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element climate forecasting
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element training
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element matching methods
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Diallo, Thierno Malick
Relator term author
786 0# - DATA SOURCE ENTRY
Note Économie rurale | 384 | 2 | 2023-05-09 | p. 41-57 | 0013-0559
856 41 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://shs.cairn.info/revue-economie-rurale-2023-2-page-41?lang=fr&redirect-ssocas=7080">https://shs.cairn.info/revue-economie-rurale-2023-2-page-41?lang=fr&redirect-ssocas=7080</a>

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