Vulnerability and Adaptation to Climate Change in The

Total Page:16

File Type:pdf, Size:1020Kb

Vulnerability and Adaptation to Climate Change in The Vulnerability and Adaptation to Climate Change in the Semi-Arid Regions of West Africa 1 About ASSAR Working Papers This series is based on work funded by Canada’s International Development Research Centre (IDRC) and the UK’s Department for International Development (DFID) through the Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA). CARIAA aims to build the resilience of vulnerable populations and their livelihoods in three climate change hot spots in Africa and Asia. The program supports collaborative research to inform adaptation policy and practice. Titles in this series are intended to share initial findings and lessons from research and background studies commissioned by the program. Papers are intended to foster exchange and dialogue within science and policy circles concerned with climate change adaptation in vulnerability hotspots. As an interim output of the CARIAA program, they have not undergone an external review process. Opinions stated are those of the author(s) and do not necessarily reflect the policies or opinions of IDRC, DFID, or partners. Feedback is welcomed as a means to strengthen these works: some may later be revised for peer-reviewed publication. Contact Collaborative Adaptation Research Initiative in Africa and Asia c/o International Development Research Centre PO Box 8500, Ottawa, ON Canada K1G 3H9 Tel: (+1) 613-236-6163; Email: [email protected] Funded by: 2 Vulnerability and Adaptation to Climate Change in Semi-Arid Areas in West Africa Lead author: Jon Padgham1 Contributing authors: Ahmed Abubakari2 Jesse Ayivor2 Katie Dietrich1 Benedicta Fosu-Mensah2 Chris Gordon2 Senay Habtezion1 Elaine Lawson2 Adelina Mensah2 Dan Nukpezah2 Ben Ofori2 Shayne Piltz1 Amadou Sidibé3 Manda Sissoko3 Edmond Totin3 Sibiry Traoré3 Additional contributions: Angie Dazé4 Daniella Echeverría4 1START 2000 Florida Avenue, N.W., Suite 200 Washington, DC USA http://www.start.org 2University of Ghana (UGHANA) Institute for Environment and Sanitation Studies Accra, Ghana http://www.iess.ug.edu.gh 3International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) Bamako, Mali http://www.icrisat.org 4International Institute for Sustainable Development (IISD) 220 Laurier Avenue West #1400 Ottawa, Canada http://www.iisd.org 3 Table of Contents List of Acronyms ............................................................................................................................ 6 CHAPTER 1: INTRODUCING THE REGIONAL DIAGNOSTIC STUDY .................................................. 9 1.1 The ASSAR project in West Africa ...................................................................................... 9 1.2 Regional Diagnostic Study methods ................................................................................ 11 1.2.1 Literature review ................................................................................................. 11 1.2.2 Stakeholder engagement .................................................................................... 12 CHAPTER 2: REGIONAL OVERVIEW.............................................................................................. 16 2.1 Major socio-economic, governmental and environmental characteristics .................... 16 2.1.1 Population and demography ............................................................................... 16 2.1.2 Economic development and growth ................................................................... 17 2.1.3 Development dynamics in dryland West Africa .................................................. 20 2.2 Key socio-ecological systems in the western half of the dryland region ........................ 25 CHAPTER 3: CLIMATE ................................................................................................................... 29 3.1 Climate variability in West Africa .................................................................................... 29 3.2 Climate trends ................................................................................................................. 30 3.3 Trends in extreme rainfall and temperature ................................................................... 32 3.4 Future Climate Projections .............................................................................................. 32 3.4.1 IPCC Fifth Assessment Report findings ................................................................ 32 3.4.2 CORDEX Projections............................................................................................. 34 3.5 Impacts of future climate change on characteristics of the rainy season ....................... 37 CHAPTER 4: RISKS, IMPACTS AND VULNERABILITY ..................................................................... 39 4.1 Overview and context ..................................................................................................... 39 4.2 Who is vulnerable? .......................................................................................................... 40 4.3 What are important climate dimensions of vulnerability? ............................................. 40 4.4 Important risks, impacts and development drivers that influence vulnerability ............ 41 4.4.1 Water resources management ............................................................................ 42 4.4.2 Land degradation and drought ............................................................................ 44 4.4.3 Large-scale land acquisition ................................................................................ 47 4 4.4.4 Changes in pastoralism ........................................................................................ 48 4.4.5 Disease burdens and malnutrition ...................................................................... 49 CHAPTER 5: ADAPTATION ........................................................................................................... 52 5.1 Setting the context for adaptation .................................................................................. 52 5.2 Current risk management practices and their link to climate change adaptation ......... 52 5.2.1 Soil and water conservation in agriculture .......................................................... 52 5.2.2 Water management—small reservoirs and irrigation ......................................... 55 5.2.3 Crop genetic improvement .................................................................................. 56 5.2.4 Access to seasonal weather and climate information......................................... 58 5.2.5 Forest management ............................................................................................ 59 5.2.6 Farming system and livelihoods diversification .................................................. 60 5.2.7 Health responses ................................................................................................. 61 5.2.8 Migration ............................................................................................................. 64 5.3 Gender ............................................................................................................................. 65 5.3.1 An examination of gender in vulnerability and adaptation ................................ 65 5.3.2 Other differentiated forms of vulnerability ......................................................... 67 5.4 Adaptation policy platforms in Ghana and Mali ............................................................. 70 5.4.1 Ghana .................................................................................................................. 70 5.4.2 Mali ...................................................................................................................... 73 5.4.3 Climate finance in West Africa ............................................................................ 78 5.5 Governance aspects of adaptation related to decentralization ...................................... 79 5.5.1 Ghana .................................................................................................................. 80 5.5.2 Mali ...................................................................................................................... 82 5.6 Conclusions ...................................................................................................................... 83 5.6.1 Barriers to and enablers of adaptation ............................................................... 83 5.6.2 Knowledge gaps and needs ................................................................................. 88 CHAPTER 6: References ............................................................................................................... 91 5 List of Acronyms AEDD L'Agence de l'environnement et du développement ASSAR Adaptation at Scale in Semi-Arid Regions CARIAA Collaborative Adaptation Research Initiative in Africa and Asia CBO Community-based organization CCAFS Climate Change, Agriculture and Food Security CCLM Climate Change and Land Management CDKN Climate and Development Knowledge Network CEDAW Convention on the Elimination of All Forms of Discrimination Against Women CENSUDI Centre for Sustainable Development Initiative CGIAR Consultative Group on International Agricultural Research CIC Community Information Centres CLURCC Community Land Use Responses to Climate Change CMIP Coupled Model Intercomparison Project COF Climate Outlook Forum CORDEX Coordinated Regional Downscaling Experiment
Recommended publications
  • Multidimensional Household Vulnerability Assessment in Semi-Arid Areas of Mali
    Multidimensional household vulnerability assessment in semi-arid areas of Mali Alcade C. Segnon (IESS-UG/ICRISAT/FSA-UAC) Edmond Totin (UNAB) Robert B. Zougmore (ICRISAT) Enoch G. AchigAn-Dako (FSA-UAC) BenjAmin D. OFori (IESS-UG) Chris Gordon (IESS-UG) Background Semi-arid areas (SARs) of West Africa: hotspots of climate change v Substantial multi-decadal variability (both in time and space) with prolonged dry periods (e.g., 1980s) v Seasonal variability in rainfall patterns v Strong ecological, economic and social impacts, making socio-ecological systems particularly vulnerable Continued & stronger trends in the future Background Climate risks: only one layer of Vulnerability in SARs v Biophysical, socioeconomic, institutional and political, at different scales to shape vulnerability in SARs v Little attention to multiple & interacting nature of driving forces climate VA v Crucial if adaptation is to be effective and sustained v “Insights from multiple-scale, interdisciplinary work to improve the understanding of the barriers, enablers and limits to effective, sustained and widespread adaptation” v To develop a unique and systemic understanding of the processes and factors that impede adaptation and cause vulnerability to persist. Study aims to assess household vulnerability to climatic and non- climatic risks in SARs of Mali Methodological approach IPCC AR4 conceptualization of vulnerability Vulnerability = function of exposure, sensitivity & adaptive capacity Multidimensional LV approach (Gerlitz et al 2017) v Livelihood Vulnerability Index (LVI) (Hahn et al 2009) modified and expanded to include non-climatic shocks v Framed within AR4 framing of vulnerability v 10 components and 3 dimensions v Identification of indicators and vulnerabilities across dimensions through PRA Vulnerability typology approach (Sietz et al 2011, 2017) v Standardization/Normalization of indicators v FAMD analysis: a PCA-type, but accommodate simultaneously quanti.
    [Show full text]
  • Perceptions and Adaptations to Climate Change in Southern Mali
    Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 12 March 2021 doi:10.20944/preprints202103.0353.v1 Perceptions and adaptations to climate change in Southern Mali Tiémoko SOUMAORO PhD student at the UFR of Economics and Management, Gaston Berger University (UGB) of Saint-Louis, Senegal. [email protected] ABSTRACT This study aims to determine the impact of climate change on market garden production in the extreme south of Mali through the perception and adaptation of market gardeners to climatic phenomena. The study used two models, namely the probit selection and Heckman results models and multinomial logistic regression, based on data collected from producers. A total of 194 producers were surveyed. The results of Heckman's probit model indicate that experience in agriculture and the educational level of the producers are the two main determinants of producers' perception and simultaneous adaptation to climate change. Among these variables agricultural experience is both positively and negatively correlated with perception. Keywords: Adaptation, climate change, southern Mali, Heckman probit, vegetable production 1. INTRODUCTION Climate change and its impacts have now become one of the greatest challenges for humanity, its environment and its economies (IPCC, 2013). At the global level, climate change is reflected in the rise in the average temperature of the planet, the melting of glaciers, the rise in sea level and the increase in the frequency of extreme events, the disappearance of species of animal origin, changes in rainfall patterns, etc. The average temperature in the world will increase by 1.8°C to 4°C, and in the worst case 6.4°C by the end of this century (IPCC, 2007).
    [Show full text]
  • Attacks on Health Care March 2021 Monthly News Brief
    March Attacks on Health Care 2021 Monthly News Brief Insecurity Insight publishes data on incidents where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities were damaged or destroyed by a perpetrator including state and non-state actor groups, criminals, individuals, students and other staff members. Access the data via our website or on HDX. Past editions: February 2021; January 2021 Visit our website, join our mailing list, follow us on Twitter and Facebook. Get in touch to report an incident or if you have additional information on an incident we have reported on. SHCC Attacks on Health Care The section aligns with the definition of attacks on health care used by the Safeguarding Health in Conflict Coalition (SHCC). Africa Cameroon 01 March 2021: In Kikaikilaki locality, Bui department, Northwest province, following a gun battle, soldiers shot at the Life Abundant Primary Health Care Project, allegedly mistaking it for a separatist hideout. The health facility caught fire, resulting in unknown amounts of damage to the building. Source: Mimi Mefo Info Democratic Republic of the Congo 13 March 2021: In Kalalangwe village, North Kivu province, alleged ADF militants entered a local clinic and killed three patients, including one woman, with machetes and guns. Source: Actualité Mali 03 March 2021: In Bentia village, Goa region, a local health centre was robbed by armed men. No injuries or deaths were reported; however, the perpetrators stole the health centre’s motorbike. Source: Studio Tamani 15 March 2021: In Diouradougou commune, Koutiala cercle, Sikasso region, unidentified men kidnapped six health workers.
    [Show full text]
  • Projets MSF Ped-Nut Dans Le Sahel Juin 2013
    Programmes Pédiatriques et Nutritionnels dans la Bande Sahélienne Médecins Sans Frontières 2007-2012 Dr. Susan Shepherd Médecins sans Frontières Plan de la Présentation Indicateurs santé-nutrition infanto-juvénile dans le Sahel et au Mali Résultats initiaux d’un programme de soins pédiatriques: SPE et soins curatifs L’analyse approfondie de la croissance des enfants admis à un programme nutritionnel basé sur le perimètre brachial [PB] Les pistes de réflexion Simplification de la prise en charge Malnutrition Aigue Sévère Prévention de la Malnutrition Aigue Sévère [MAS] Profil de la Mortalité Infanto-Juvénile Distribution of Childhood Deaths by Age: Nigeria, Mali, Burkina Faso, Niger & Chad 2010 28% 0-27 d 1-59 m 72% Epidémiologie Sahélienne Causes of Mortality Children 1-59 months: Nigeria, Mali, Burkina Faso, Niger & Chad 2010 ~30% mortalité paludisme ~20% mortalité évitable par la 4% 2% 4% vaccination 4% 27% Malaria Other Pneumococque Pneumonia 16% Diarrhea Hémophilus B Meningitis Injury Rougeole AIDS Méningococque Measles 20% 23% (rotavirus) Prévention ‘non-spécifique’ pour le ~40% restant: supplémentation nutritionnelle Mortalité Infanto-Juvenile - 2011 Mortalite Infanto-Juvenile: Countdown 2013 200 176 169 146 150 125 U5 MR 98 97 100 82 U1 MR 66 NN MR 49 42 50 34 32 deces/1000naissances 0 Mali Tchad Burkina Faso Niger http://www.countdown2015mnch.org/country-profiles Accessed 20 juin 2013 Countdown to 2015 – Mali 45% de la mortalité < 5 ans liée à la sous-nutrition. Black, RE Lancet 6 juin 2013 Retard de Croissance Prevalence Retard
    [Show full text]
  • World Bank Document
    The World Bank Report No: ISR4037 Implementation Status & Results Mali Fostering Agricultural Productivity Project (P095091) Operation Name: Fostering Agricultural Productivity Project (P095091) Project Stage: Implementation Seq.No: 2 Status: ARCHIVED Archive Date: Country: Mali Approval FY: 2010 Public Disclosure Authorized Product Line:IBRD/IDA Region: AFRICA Lending Instrument: Specific Investment Loan Implementing Agency(ies): Key Dates Board Approval Date 03-Jun-2010 Original Closing Date 30-Sep-2016 Planned Mid Term Review Date Last Archived ISR Date 23-Mar-2011 Public Disclosure Copy Effectiveness Date 17-Dec-2010 Revised Closing Date 30-Sep-2016 Actual Mid Term Review Date Project Development Objectives Fostering Agricultural Productivity Project (P095091) Project Development Objective (from Project Appraisal Document) The Project Development Objective is to increase the productivity of smallholder agricultural and agribusiness producers in the targeted production systems and project areas. Has the Project Development Objective been changed since Board Approval of the Program? Public Disclosure Authorized Yes No Component(s) Component Name Component Cost TECHNOLOGY TRANSFER AND SERVICE PROVISION TO AGRICULTURAL PRODUCERS 31.60 IRRIGATION INFRASTRUCTURE 44.20 COMPREHENSIVE PROGRAMMATIC APPROACH, SECTOR MONITORING AND PROJECT 18.30 COORDINATION Overall Ratings Previous Rating Current Rating Progress towards achievement of PDO Satisfactory Moderately Satisfactory Public Disclosure Authorized Progress towards achievement of GEO Satisfactory Moderately Satisfactory Overall Implementation Progress (IP) Moderately Satisfactory Moderately Unsatisfactory Overall Risk Rating Public Disclosure Copy Implementation Status Overview The project was approved on June 19, 2010 and became effective on December 17, 2010. The launching workshop was held on March 24 and 25, 2011, with an excellent Page 1 of 8 Public Disclosure Authorized The World Bank Report No: ISR4037 attendance of various stakeholders and a sound participation of farmer organizations.
    [Show full text]
  • Memoire Pour L'obtention Du Master Specialise En Management Des Entreprises Et Des Organisations Option : Innovation Et Develo
    [Type here] 0 STRATEGIES ET CONTRIBUTION D’UNE AGENCE DE DEVELOPPEMENT AU PROCESSUS DE DEVELOPPEMENT REGIONAL ET LOCAL PILOTE PAR DES COLLECTIVITES TERRITORIALES : CAS DE LA REGION DE SIKASSO MEMOIRE POUR L’OBTENTION DU MASTER SPECIALISE EN MANAGEMENT DES ENTREPRISES ET DES ORGANISATIONS OPTION : INNOVATION ET DEVELOPPEMENT DES SOCIETES Présenté par : Sidy DIARRA Travaux dirigés par : M. Issa KANTE Ingénieur d’Agriculture et du Génie Rural ; Directeur Général de l’Agence de Développement Régional de Sikasso Jury d’évaluation du mémoire : Président : Prénom NOM Membres et correcteurs : Prénom NOM Prénom NOM Prénom NOM Cohorte Janvier 2018 DEDICACE Je dédie ce mémoire de Master Spécialisé en Innovation et Développement des Sociétés à : • Dieu Tout-Puissant. Pendant les moments les plus difficiles de ma vie, Tu as été là. Je Te loue du plus profond de mon cœur pour les merveilles que Tu ne cesses d'accomplir pour moi ; • Ma très chère mère Mariam FOMBA. La vie que tu m'as donnée, l'amour incommensurable que tu as pour moi, les sacrifices énormes que tu consens pour m'offrir un lendemain meilleur et faire de moi ta fierté constituent une énorme dette que je ne pourrai jamais finir d'honorer. Infiniment merci Maman ; • Mon cher père Siaka DIARRA, sans toi, rien n’aurait pu être possible, que Dieu te garde pour moi et te prête une longue vie pleine de santé et de prospérité ; • Ma chère épouse Sétou TOGOLA et mes enfants Kadidiatou Sidy, Aicha Sidy et Boubacar Sidy. Merci d’être là quand il fallait, que Dieu vous protège et vous guide vers le droit chemin ; • Tous ceux qui de près ou de loin, d'un passé lointain ou rapproché, ont favorisé d'une manière ou d'une autre la réalisation du présent mémoire de fin d'études.
    [Show full text]
  • Transfer of Sorghum, Millet Production, Processing and Marketing Technologies in Mali Quarterly Report July 1, 2011 – September 30, 2011
    University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln International Sorghum and Millet Collaborative USAID Mali Mission Awards Research Support Program (INTSORMIL CRSP) 9-2011 Transfer of Sorghum, Millet Production, Processing and Marketing Technologies in Mali Quarterly Report July 1, 2011 – September 30, 2011 INTSORMIL Follow this and additional works at: https://digitalcommons.unl.edu/intsormilusaidmali INTSORMIL, "Transfer of Sorghum, Millet Production, Processing and Marketing Technologies in Mali Quarterly Report July 1, 2011 – September 30, 2011" (2011). USAID Mali Mission Awards. 23. https://digitalcommons.unl.edu/intsormilusaidmali/23 This Article is brought to you for free and open access by the International Sorghum and Millet Collaborative Research Support Program (INTSORMIL CRSP) at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in USAID Mali Mission Awards by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Transfer of Sorghum, Millet Production, Processing and Marketing Technologies in Mali Quarterly Report July 1, 2011 – September 30, 2011 USAID/EGAT/AG/ATGO/Mali Cooperative Agreement # 688-A-00-007-00043-00 Submitted to the USAID Mission, Mali by Management Entity Sorghum, Millet and Other Grains Collaborative Research Support Program (INTSORMIL CRSP) Leader with Associates Award: EPP-A-00-06-00016-00 INTSORMIL University of Nebraska 113 Biochemistry Hall P.O. Box 830748 Lincoln, NE 68583-0748 USA [email protected] Table of Contents Page 1. Introduction 4 2. Acronyms and Abbreviations 4 3. Executive Summary of Achievements 5 4. Progress 6 Production-Marketing 6 Food Processing 8 Décrue Sorghum 10 Training 12 5. Gender Related Achievements 16 6. Synergistic Activities Achieved with Partners 17 Production-Marketing 17 Food Processing 17 Décrue Sorghum 18 7.
    [Show full text]
  • Tiémoko SOUMAORO (  [email protected] ) Gaston Berger University: Universite Gaston Berger
    Adaptations of market garden producers to climate change in southern Mali Tiémoko SOUMAORO ( [email protected] ) Gaston Berger University: Universite Gaston Berger https://orcid.org/0000-0003-0182-2914 Research Article Keywords: adaptation, climate change, multinomial logit, southern Mali, market gardeners Posted Date: March 1st, 2021 DOI: https://doi.org/10.21203/rs.3.rs-176033/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Adaptations of market garden producers to climate change in southern Mali Tiémoko SOUMAORO PhD student at the UFR of Economics and Management, Gaston Berger University (UGB) of Saint-Louis, Senegal. Abstract This article aims to identify the factors that influence the choice of adaptation measures by market garden producers in the extreme south of Mali in the face of climate change. The study used a multinomial logit regression model based on data collected from producers. Interviews with 194 producers were conducted in 3 circles in the southern region: Sikasso, Koutiala and Bougouni. The results of the multinomial logit model indicate that the mode of access to land, access to information on climate change, agricultural extension, agricultural experience and access to credit are the main endogenous strategies developed by producers to counteract the impacts of climate change. Finally, in order to consolidate these different strategies developed by producers, campaigns to raise awareness among producers on the importance of adapting to climate change should be encouraged. Keywords: adaptation, climate change, multinomial logit, southern Mali, market gardeners. 1. INTRODUCTION The impacts of climate change on ecosystems are unequivocal.
    [Show full text]
  • Recensement National Du Cheptel Transhumant Et Nomade Resultats Bruts
    MINISTERE DU DEVELOPPEMENT RURAL REPUBLIQUE DU MALI CELLULE DE PLANIFICATION ET DE STATISTIQUE UN PEUPLE, UN BUT, UNE FOI PROJET RGA ET MISE EN PLACE DU SNISA ECENSEMENT ATIONAL DU HEPTEL R N C TRANSHUMANT ET NOMADE RESULTATS BRUTS AGROTEC-SPA UNION EUROPEENNE ROME DIRECTION GENERALE DU DEVELOPPEMENT Liste des tableaux Tableau 1. Types d’équipement des zones de concentration de type 1 de la région de Kayes. .........................................10 Tableau 2. Types d’équipement des zones de concentration de type 1 de la région de Koulikoro. ....................................10 Tableau 3. Types d’équipement des zones de concentration de type 1 de la région de Sikasso........................................10 Tableau 4. Types d’équipement des zones de concentration de type 1 de la région de Segou..........................................11 Tableau 5. Types d’équipement des zones de concentration de type 1 de la région de Mopti. ..........................................11 Tableau 6. Types d’équipement des zones de concentration de type 1 de la région de Tombouctou. ...............................11 Tableau 7. Types d’équipement des zones de concentration de type 1 de la région de Gao. ............................................12 Tableau 8. Types d’équipement des zones de concentration de type 1 de la région de Kidal. ...........................................13 Tableau 9. Répartition des effectifs du cheptel transhumant et nomade du Mali par espèce et par région. .......................15 Tableau 10. Répartition des effectifs du cheptel transhumant et nomade par espèce et par région pour les propriétaires résidant au Mali................................................................................................................................................15 Tableau 11. Répartition des effectifs du cheptel par région et par cercle selon le lieu de résidence du propriétaire (Originaire : Mali ; Non orig. : hors Mali).
    [Show full text]
  • Feed the Future Mali Livestock Technology Scaling Program (FTF-MLTSP): Annual Report, October 2016–September 2017 I
    Feed the Future Mali Livestock Technology Scaling Program (FTF-MLTSP): Annual report, October 2016–September 2017 i Feed the Future Mali Livestock technology scaling program Annual Report, October 2016–September 2017 Feed the Future Mali Livestock Technology Scaling Program (FTF-MLTSP): Annual report, October 2016–September 2017 i Feed the Future Mali Livestock technology scaling program Annual report, October 2016–September 2017 December 2017 ii Feed the Future Mali Livestock Technology Scaling Program (FTF-MLTSP): Annual report, October 2016–September 2017 © 2017 International Livestock Research Institute (ILRI) ILRI thanks all donors and organizations which globally support its work through their contributions to the CGIAR system This publication is copyrighted by the International Livestock Research Institute (ILRI). It is licensed for use under the Creative Commons Attribution 4.0 International Licence. To view this licence, visit https://creativecommons.org/ licenses/by/4.0. Unless otherwise noted, you are free to share (copy and redistribute the material in any medium or format), adapt (remix, transform, and build upon the material) for any purpose, even commercially, under the following conditions: ATTRIBUTION. The work must be attributed, but not in any way that suggests endorsement by ILRI or the author(s). NOTICE: For any reuse or distribution, the licence terms of this work must be made clear to others. Any of the above conditions can be waived if permission is obtained from the copyright holder. Nothing in this licence impairs or restricts the author’s moral rights. Fair dealing and other rights are in no way affected by the above. The parts used must not misrepresent the meaning of the publication.
    [Show full text]
  • Determinants of Land Allocation in a Multi-Crop Farming System: an Application of the Fractional Multinomial Logit Model to Agricultural Households in Mali
    Determinants of Land Allocation in a Multi-Crop Farming System: An Application of the Fractional Multinomial Logit Model to Agricultural Households in Mali James E. Allen IV, M.S. Community and Economic Development Initiative of Kentucky Department of Agricultural Economics University of Kentucky Email: [email protected] Selected Paper prepared for presentation at the Agricultural & Applied Economics Association’s 2014 AAEA Annual Meeting, Minneapolis, MN, July 28, 2014. Copyright 2014 by James E. Allen IV. All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies. ABSTRACT Effective food security work in developing countries, such as Mali, relies on a thorough understanding of the rural farming system. A common approach is to study land allocation decisions to specific crops. In accomplishing this, one challenge is to model all production outcomes in a multi-crop system. This paper attempts to overcome this challenge to study the determinants of household allocation to cotton, maize, sorghum, millet, and secondary crops. First, a reduced form of the agricultural household model helps to identify factors that explain land allocation to various crops. This framework is applied to survey data from six villages in Mali’s Koutiala Cercle. A fractional multinomial logit econometric model is used to estimate the effect of household and production attributes on shares of cotton, maize, sorghum, millet, and secondary crops simultaneously, the results of which are presented as average marginal effects. Among other results, the analysis shows that ethnic groups not native to the Koutiala Cercle are associated with significantly smaller shares of maize, and that villages with better market access are correlated with much higher shares of secondary crops and smaller shares of cotton.
    [Show full text]
  • MSU International Development Working Papers
    MSU International Development Working Paper Cereal Market Dynamics: The Malian Experience from the 1990s to Present by Valerie Kelly, Abdoul Murekezi, Nathalie Me-nsope, Sonja Perakis, and David Mather Department of Agricultural, Food, and Resource Economics Department of Economics MICHIGAN STATE UNIVERSITY MSU International Development East Lansing, Michigan 48824 Working Paper 128 December 2012 MSU Agricultural Economics Web Site: http://www.aec.msu.edu MSU Food Security Group Web Site: http://www.aec.msu.edu/fs2/index.htm MSU is an affirmative-action, equal-opportunity employer MSU INTERNATIONAL DEVELOPMENT PAPERS The Michigan State University (MSU) International Development Paper series is designed to further the comparative analysis of international development activities in Africa, Latin America, Asia, and the Near East. The papers report research findings on historical, as well as contemporary, international development problems. The series includes papers on a wide range of topics, such as alternative rural development strategies; nonfarm employment and small scale industry; housing and construction; farming and marketing systems; food and nutrition policy analysis; economics of rice production in West Africa; technological change, employment, and income distribution; computer techniques for farm and marketing surveys; farming systems and food security research. The papers are aimed at teachers, researchers, policy makers, donor agencies, and international development practitioners. Selected papers will be translated into French,
    [Show full text]