DOCSLIB.ORG

ANALYSIS of the DETERMINANTS of AGRICULTURAL MECHANIZATION in WEST AFRICA: CASE of the REPUBLIC of BENIN Yann Emmanuel Sonagnon Miassi

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
ANALYSIS of the DETERMINANTS of AGRICULTURAL MECHANIZATION in WEST AFRICA: CASE of the REPUBLIC of BENIN Yann Emmanuel Sonagnon Miassi ANALYSIS OF THE DETERMINANTS OF AGRICULTURAL MECHANIZATION IN WEST AFRICA: CASE OF THE REPUBLIC OF BENIN Yann Emmanuel Sonagnon Miassi To cite this version: Yann Emmanuel Sonagnon Miassi. ANALYSIS OF THE DETERMINANTS OF AGRICULTURAL MECHANIZATION IN WEST AFRICA: CASE OF THE REPUBLIC OF BENIN. ÇUKUROVA 4. ULUSLARARASI YENİLİKÇİ BİLİMSEL ARAŞTIRMALAR KONGRESİ, Feb 2020, Adana, Turkey. hal-02774312 HAL Id: hal-02774312 https://hal.archives-ouvertes.fr/hal-02774312 Submitted on 4 Jun 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. ÇUKUROVA 4. ULUSLARARASI YENİLİKÇİ BİLİMSEL ARAŞTIRMALAR KONGRESİ 21-23 Şubat 2020 ANALYSIS OF THE DETERMINANTS OF AGRICULTURAL MECHANIZATION IN WEST AFRICA: CASE OF THE REPUBLIC OF BENIN Yann Emmanuel MIASSI Department of Agricultural Economics, Faculty of Agriculture, University of Cukurova INTRODUCTION The agricultural sector provides employment for the majority of the African population and generates a large part of the Gross Domestic Product (GDP) (Zhou, 2016). In Africa, the agricultural sector is the main source of income for the majority of the population (OECD / FAO, 2016); with a large share of the population living in rural areas (Makinwa-Adebusoye, 1999). This sector contributes more than 35% of the GDP of the majority of the countries in Africa and employs more than 60% of assets (Guèye, 2006). Benin is one country of West African whose agriculture represents the fold of the national economy (Miassi and Dossa, 2018). Despite the capital importance of this sector for the economy of this country, agricultural sector is characterized by poor mechanization (Agbo & Honkpehedji, 2009). For almost a century, experiments in mechanizing family farming have had mixed results in West Africa (Havard & Side, 2013). However, in a context where food security in West Africa is threatened by climatic variations as well as questions of declining soil fertility, the use of agricultural mechanization could make it possible to reduce risks in a certain way. It is with this in mind that the present study is part of the analysis of the determinants of the use of agricultural mechanization by producers in Benin. METHODOLOGY The present study aims to analyze the determinants of agricultural mechanization in West Africa, specifically in three (3) provinces of North-Benin. This study was based on data collected from a sample of 120 farmers. The data collected mainly concerns the socio-economic and demographic characteristics of producers. Using STATA software, a Logit regression model identified the parameters influencing the adoption of agricultural mechanization by producers in Benin. Adéoti et al. (2002) present the model by the following equation: Where: P (Yi): The probability for an individual i to use mechanization; P (Yi) = 1 if mechanization is adopted and 0 if not; e: The exponential function ; Yi: The explained variable; β: The vector of the parameters to be estimated, the sign of which allows the interpretation of the results; α: The constant; Xi: characteristic of producer i. RESULTS AND DISCUSSION It emerges from the analysis of the table, that the model is globally significant at a threshold of 1% (p = 0.0000 <1%) with a pseudo R² equivalent to 0.8950. Variables such as the age of the producer, membership of a producer group and the size of the household are the variables that determine the mechanization of production in northern Benin (Table 1). These results corroborate with those of Mujinga & Nganda (2018). Age has a negative effect on the choice of the producer to adopt mechanization. Thus, the older the producer, the less he tends to resort to mechanization. This is explained by the fact that the producers are conservative and remain attached to the old forms of production. Like the ‘’age’’ variable, household size also has a negative effect on producer choice. Indeed, some producers are responsible for large families. They therefore see in the latter a fairly large labor force and show no interest in mechanization. Unlike these variables, the producer's membership of a group positively influences the choice of the producer. This is due to the fact that producers belonging to the various groups are made aware of the importance of the use of mechanization. These proposed explanations also go in the same direction as those of Zhou (2016) and then of Havard & Side (2013). Table 1: Determinants of agricultural mechanization in North-Benin CONCLUSION The membership of a producer group positively influence producer’s recourse to mechanization. However, variables such as the age of the producer, and the size of the household negatively impact this choice. It is therefore imperative that sectoral policies, as well as development programs and projects that are part of a dynamic mechanization of agriculture in Benin, consider these parameters. References Adéoti, R., Tamò, M., Coulibaly, O, (2002), Factors affecting the adoption of new cowpea Vigna unguiculata technologies in West Africa, 1–18. Agbo, SAJ, Honkpehedji, NR, (2009), Analysis of the determinants of the production of food crops in Benin: the case of maize and yams, Final thesis, Universite D'abomey Calavi, National School of Economics Applied And Management. Guèye, B. (2006), “Policy, poverty and agricultural development to support small scale farmers in Sub Saharan Africa. Reflections from West Africa ”. Article presented at the poverty workshop in Frösundavik, 40 p. Havard, M., Side, S.C., (2013), The dynamics of mechanization of agricultural production and processing in West Africa, 4th International Conference "biofuels in africa", Ouagadougou, Burkina Faso, 14 p. Makinwa-Adebusoye, P., (1999), The African family in rural areas. In: Aderanti Adepoju ed., The African family: Demographic policies and development, Paris: Editions Karthala, 135-152. Miassi, Y.E.S., Dossa, K.F., (2018), Socio-Economic determinants of the adoption of agricultural contracts: Case of cashew farmers in NorthEastern Benin, Int J Progress Sci Technol 6 (2): 243-250. Mujinga, K., Nganda, A., (2018), Determinants of agricultural mechanization at kimpese in the province of central Kongo, Revue Congolaise d'Economie et de Gestion, EDUPC, 2018. hal-01788077, 14 p. OECD / FAO, (2016), "Agriculture in Sub-Saharan Africa: Prospects and Challenges for the Next Decade", in OECD and FAO Agricultural Outlook 2016-2025, OECD Publishing, Paris. DOI: http://dx.doi.org/10.1787/agr_outlook-2016-5-fr. Zhou, Y., (2016), The Mechanization of Agriculture in West Africa, Syngenta Foundation for Sustainable Agriculture, 11 p..
Load more

Recommended publications
  • Read More About SDG Bond Framework
    1 C1 - Public Natixis Summary FOREWORD ........................................................................................................................................... 3 ABBREVIATIONS ................................................................................................................................... 4 PART I: Benin mobilised for the 2030 Agenda ....................................................................................... 5 1. The basics about the Republic of Benin .......................................................................................... 5 1.1 Political and administrative organisation of Benin ..................................................................... 6 1.2 A predominately young and rural population ............................................................................. 6 1.3 Human development indicators are improving .......................................................................... 8 1.4 Benin’s economic structure ........................................................................................................ 8 1.5 The authorities’ response to the Covid-19 pandemic ................................................................ 9 2. Actions and policies closely anchored to the 2030 Agenda .......................................................... 11 2.1 Actions for taking ownership of the 2030 Agenda ................................................................... 11 2.2 Mobilising institutions and transforming public action to reach the SDGs ..............................
    [Show full text]
  • The Geography of Welfare in Benin, Burkina Faso, Côte D'ivoire, and Togo
    Public Disclosure Authorized Public Disclosure Authorized The Geography of Welfare in Benin, Burkina Faso, Côte d’Ivoire, and Togo Public Disclosure Authorized Nga Thi Viet Nguyen and Felipe F. Dizon Public Disclosure Authorized 00000_CVR_English.indd 1 12/6/17 2:29 PM November 2017 The Geography of Welfare in Benin, Burkina Faso, Côte d’Ivoire, and Togo Nga Thi Viet Nguyen and Felipe F. Dizon 00000_Geography_Welfare-English.indd 1 11/29/17 3:34 PM Photo Credits Cover page (top): © Georges Tadonki Cover page (center): © Curt Carnemark/World Bank Cover page (bottom): © Curt Carnemark/World Bank Page 1: © Adrian Turner/Flickr Page 7: © Arne Hoel/World Bank Page 15: © Adrian Turner/Flickr Page 32: © Dominic Chavez/World Bank Page 48: © Arne Hoel/World Bank Page 56: © Ami Vitale/World Bank 00000_Geography_Welfare-English.indd 2 12/6/17 3:27 PM Acknowledgments This study was prepared by Nga Thi Viet Nguyen The team greatly benefited from the valuable and Felipe F. Dizon. Additional contributions were support and feedback of Félicien Accrombessy, made by Brian Blankespoor, Michael Norton, and Prosper R. Backiny-Yetna, Roy Katayama, Rose Irvin Rojas. Marina Tolchinsky provided valuable Mungai, and Kané Youssouf. The team also thanks research assistance. Administrative support by Erick Herman Abiassi, Kathleen Beegle, Benjamin Siele Shifferaw Ketema is gratefully acknowledged. Billard, Luc Christiaensen, Quy-Toan Do, Kristen Himelein, Johannes Hoogeveen, Aparajita Goyal, Overall guidance for this report was received from Jacques Morisset, Elisée Ouedraogo, and Ashesh Andrew L. Dabalen. Prasann for their discussion and comments. Joanne Gaskell, Ayah Mahgoub, and Aly Sanoh pro- vided detailed and careful peer review comments.
    [Show full text]
  • Annual Operational Eoa- I Project Report for Benin 2018
    0 REPUBLIC OF BENIN -=-=-=-=-=-=-=- Organisation Béninoise Pour la Promotion de l’Agriculture Biologique (OBEPAB) -=-=-=-=-=-=-=- Project Mainstreaming Ecological Organic Agriculture (EOA) intoNational Policies, Strategies and Programmes in Africa Technical annual report for 2018 Reporting Period: January to December 2018 Supported by 0 1 Table content Page 1. Introduction ......................................................................................................................................... 2 2. Methodology ........................................................................................................................................ 3 3. Major achievements ............................................................................................................................ 3 4. Challenges of EOA Implementation in Benin ..................................................................................... 7 5. Lessons to be learnt in EOA Implementation in Benin ...................................................................... 7 6. Recommendations and Conclusions in EOA Implementation in Benin ............................................ 8 1 2 1. Introduction Agriculture is the basis of the national economy. It occupies almost 70% of the active population and contributes 38% of GDP. However, current production systems, farmers use mostly mineral fertilizers for soil fertilization and synthetic chemical pesticides for pest management. Chemicals are used for other purposes among which are for food storage.
    [Show full text]
  • World Bank Document
    Report No. PID7971 Project Name Benin-Program for the Management of Forests... and Adjacent Lands (Programme de Gestion des Forets et Terroirs PGFT) Region Africa Sector Forestry Public Disclosure Authorized Project ID BJPE65010 Borrower Government of Benin Implementing Agency Ministry of Rural Development Directorate of Forests and Natural Resources (DFRN) Contact persons: Mr. Theophile Kapko, Project Coordinator Ministry of Rural Development 06 BP 884 Cotonou Tel.: (229) 33-29-21; Public Disclosure Authorized Fax: (229) 33-04-21 Date Prepared Under preparation Project Appraisal Date January 2000 Project Board Date July 2000 Country and Sector Background 1. Benin has a population of 6.0 million and covers an area of 112,622 sq. km. It is a long, narrow country, stretching from the Sahelian north to the Atlantic Ocean in the south. The north is dry and arid, whereas the south supports lush tropical vegetation. Poverty in Benin is widespread. GNP per Public Disclosure Authorized capita in 1998 was estimated at US$385 which is considerably below the Sub- Saharan Africa average of US$500. However, improved management and political stability has enabled Benin to maintain a 5 percent annual economic growth rate since 1991. 2. The CFA franc devaluation in 1994 restored competitiveness in regional and international markets and allowed higher CFA franc prices to be offered to producers. The economy of Benin is dependent on production of cotton, maize, yams, cassava, rice, fruits and beans. Cotton accounts for some 80 percent of exports (excluding re-exports). Recent years have seen an increase in exports of cotton and services related to transit trade.
    [Show full text]
  • Proceedings of the International Workshop on Agricultural Innovation Systems in Africa (AISA), 29–31 May 2013, Nairobi, Kenya
    Proceedings of the International Workshop on Agricultural Innovation Systems in Africa (AISA), 29–31 May 2013, Nairobi, Kenya Bernard Triomphe, Ann Waters-Bayer, Laurens Klerkx, Marc Schut, Beth Cullen, Geoffrey Kamau and Ewen Le Borgne (Editors) 20 March 2014 Document downloadable at: http://aisa2013.wikispaces.com/ais+workshop ACKNOWLEDGEMENTS Many people contributed to the preparation, organisation and documentation of the AISA workshop. We particularly want to thank the following people and the programmes and institutions they belong to: International Scientific and Organising Committee (ISOC) Adewale Adekunle (FARA), Alan Duncan (ILRI), Wiebke Foerch (CCAFS), Geoffrey Kamau (KARI, JOLISAA–Kenya), Laurens Klerkx (WUR/CoS–SIS), Mary Kamau (Kenyan Ministry of Agriculture), Joseph Mureithi (KARI), Teresiah Ng’ang’a (PROLINNOVA–Kenya), Riikka Rajalahti (World Bank), Luis Rodriguez (FSIFS/AusAID), Bernard Triomphe (CIRAD/JOLISAA) (ISOC Chair), Ann Waters-Bayer (PROLINNOVA). Kenya National Organising Committee (EAFIF–AISA) Peter Gitika (KENFAP), Geoffrey Kamau (KARI), Righa Makonge (World Neighbors), George Mazuri (USTADI Foundation), Monica Mueni (Kenyan Ministry of Agriculture), Pauline Mugendi (Land o’ Lakes), Catherine Mungai (CCAFS), Teresiah Ng'ang'a (PROLINNOVA–Kenya), Rahab Njoroge (IIRR), Aileen Ogolla (Practical Action), Bell Okello (ICRW), Maren Radeny (CCAFS–East Africa) and special thanks to Amos Thiong’o (AgriProFocus/APF) for his immense contributions in organising the Eastern African Farmer Innovation Fair (EAFIF). AISA facilitation Ewen Le Borgne and Peter Ballantyne (ILRI) assisted by Ann Waters-Bayer and Bernard Triomphe, members of the International Scientific and Organisational Committee and volunteers drawn from the AISA participants. WAIA/AISA Secretariat Ann Gakio, Jane Kiugu, Mary Mwega, Nicholas Jumah, Olivia Mutai, Teresiah Ng’ang’a, Philip Okumu Sources of funding We thank the JOLISAA project (EU FP7), CCAFS/PROLINNOVA and AusAID for their financial support.
    [Show full text]
  • Sociotechnical Context and Agroecological Transition for Smallholder Farms in Benin and Burkina Faso
    agronomy Review Sociotechnical Context and Agroecological Transition for Smallholder Farms in Benin and Burkina Faso Parfait K. Tapsoba 1 , Augustin K. N. Aoudji 1, Madeleine Kabore 2, Marie-Paule Kestemont 3, Christian Legay 4 and Enoch G. Achigan-Dako 5,* 1 School of Economics, Socio-Anthropology and Communication for Rural Development (EESAC), Faculty of Agronomic Sciences (FSA), University of Abomey-Calavi (UAC), 03 BP 2819 Cotonou, Benin; [email protected] (P.K.T.); [email protected] (A.K.N.A.) 2 Institut des Sciences des Sociétés (INSS), Centre National de la Recherche Scientifique et Technologique (CNRST), 09 BP 355 Ouagadougou 09, Burkina Faso; [email protected] 3 UCLouvain (UCL), Place des Doyens 1, 1348 Louvain-la-Neuve, Belgium; [email protected] 4 Autre Terre, Organisation Non Gouvernementale (ONG) du Groupe Terre, 01 BP 4173 01 Ouagadougou, Burkina Faso; [email protected] 5 Laboratory of Genetics, Biotechnology and Seed Science (GBioS), Faculty of Agronomic Sciences (FSA), University of Abomey-Calavi (UAC), Abomey-Calavi, 01 BP 526 Cotonou, Benin * Correspondence: [email protected]; Tel.: +229-9539-3283 Received: 25 July 2020; Accepted: 9 September 2020; Published: 22 September 2020 Abstract: West Africa is facing the challenge of its population’s food insecurity in a context of accelerated degradation of natural resources. In order to efficiently face this double bottleneck, agroecological interventions were implemented as a way to promote best agricultural practices. Agroecology is a mode of production that nowadays questions our food system which, despite technological progress, still struggles to feed the world’s population. This systematic review is part of the vision of a deep agroecology and aims at analyzing the institutional, political, organizational, and social obstacles and levers for an agroecological transition and its amplification in Burkina Faso and Benin.
    [Show full text]
  • Identifying Opportunities for Climate-Smart Agriculture Investments in Africa
    Identifying Opportunities for Climate-Smart Agriculture Investments in Africa by Giacomo Branca, Timm Tennigkeit, Wendy Mann, Leslie Lipper with contributions from Rym Benzid, Paul Borsy, Yamina Cherrou, Alberta Mascaretti, Hermann Pfeiffer, Julia Seevinck, Garry Smith, Andreas Wilkes, Johannes Woelcke FAO & World Bank Final report September 2011 1 Table of Contents Abbreviations and acronyms ............................................................................................ 4 Executive summary .......................................................................................................... 5 1. Introduction ................................................................................................................. 6 1.1 The context ................................................................................................................................... 6 1.2 The paper ...................................................................................................................................... 9 2. The analytical framework for Climate-smart agriculture .............................................. 10 2.1 Climate-Smart Agriculture and development ............................................................................. 10 2.2 Adaptation .................................................................................................................................. 11 2.3 Mitigation ...................................................................................................................................
    [Show full text]
  • Socioeconomic Determinants of Organic Cotton Adoption in Benin, West Africa
    A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Sodjinou, Epiphane; Glin, Laurent C.; Nicolay, Gian; Tovignan, Silvère; Hinvi, Jonas Article Socioeconomic determinants of organic cotton adoption in Benin, West Africa Agricultural and Food Economics Provided in Cooperation with: Italian Society of Agricultural Economics (SIDEA) Suggested Citation: Sodjinou, Epiphane; Glin, Laurent C.; Nicolay, Gian; Tovignan, Silvère; Hinvi, Jonas (2015) : Socioeconomic determinants of organic cotton adoption in Benin, West Africa, Agricultural and Food Economics, ISSN 2193-7532, Springer, Heidelberg, Vol. 3, pp. 1-22, http://dx.doi.org/10.1186/s40100-015-0030-9 This Version is available at: http://hdl.handle.net/10419/179048 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by/4.0/ www.econstor.eu Sodjinou et al.
    [Show full text]
  • Innovative Markets for Sustainable Agriculture How Innovations in Market Institutions Encourage Sustainable Agriculture in Developing Countries
    CULTURE CULTURE I VE MARKETS FOR FOR MARKETS VE I NABLE AGR NABLE I A INNOVAT SUST How innovations in market institutions encourage encourage institutions in market innovations How countries in developing agriculture sustainable INNOVATIVE MARKETS FOR How innovations in market institutions encourage FAO SUSTAINABLE AGRICULTURE sustainable agriculture in developing countries INRA INNOVATIVE MARKETS FOR SUSTAINABLE AGRICULTURE How innovations in market institutions encourage sustainable agriculture in developing countries Edited by Allison Loconto Anne Sophie Poisot Pilar Santacoloma Food And Agriculture Organization of the United Nations (FAO) and Institut National de la Recherche Agronomique (INRA) Rome, 2016 Recommended citation FAO/INRA. 2016. Innovative markets for sustainable agriculture – How innovations in market institutions encourage sustainable agriculture in developing countries, by Loconto, A., Poisot, A.S. & Santacoloma, P. (eds.) Rome, Italy The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO), or of INRA concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO, or INRA preference to others of a similar nature that are not mentioned. The views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO, or INRA. ISBN 978-92-5-109327-6 © FAO, 2016 FAO encourages the use, reproduction and dissemination of material in this information product.
    [Show full text]
  • Climate-Smart Agriculture in Benin
    Climate-Smart Agriculture in Benin Climate-smart agriculture (CSA) considerations P• Agriculture is the mainstay for Benin’s national economy P• Livestock represents a major source of agricultural employing over 70% of the population. Agricultural greenhouse gas emissions. Promising CSA options in practices are mainly rainfall-red and characterised by A the livestock sector include the introduction of high-value small land holdings, low inputs with maize, sorghum, rice, M species or crossbreeding with local breeds, conservation cassava, yams, and groundnut as major food crops and of animal feed for the dry season, use of resistant varieties cashew, shea nut and cotton as major cash crops. Major of fodder and seasonal livestock movement to find water livestock include sheep, goat, cattle, pig and poultry. and pasture. P• The agriculture sector is struggling to meet the food I• The potential for integrated agricultural systems and security needs of its growing population particularly landscapes that incorporate crop, livestock and fish in the face of highly variable weather and changes in A production, as well as forestry need further exploration climate. Factors such as declining soil fertility, poor M and promotion in the country. Other off-farm services financial services, land tenure complications, limited P related to CSA also need to be enhanced, including infrastructure and underdeveloped markets continue to climate-services, and index-based weather insurance. hamper agricultural growth. Enhancement of CSA-related input and output markets is also required. P• Climate change is set to exacerbate the already existing challenges. Recent climate projections show both I• Various stakeholder institutions, strategies, policies and A increasing and decreasing trends of rainfall depending on programs are implemented in the field of agriculture and M the agro-ecological zones.
    [Show full text]
  • Benin-Digital-Rural-Transformation
    Document of The World Bank FOR OFFICIAL USE ONLY Report No: PAD2661 Public Disclosure Authorized INTERNATIONAL DEVELOPMENT ASSOCIATION PROJECT APPRAISAL DOCUMENT ON A PROPOSED CREDIT IN THE AMOUNT OF EURO 89.2 MILLION (US$100 MILLION EQUIVALENT) TO THE Public Disclosure Authorized REPUBLIC OF BENIN FOR THE DIGITAL RURAL TRANSFORMATION PROJECT June 10, 2019 Public Disclosure Authorized Digital Development Global Practice Africa Region This document has a restricted distribution and may be used by recipients only in the performance of Public Disclosure Authorized their official duties. Its contents may not otherwise be disclosed without World Bank authorization. CURRENCY EQUIVALENTS (Exchange Rate Effective April 30, 2019) Currency Unit = CFA Franc Euro 0.89190 = US$1 US$ 1. 1212 = Euro 1 FISCAL YEAR January 1 - December 31 Regional Vice President: Hafez Ghanem Country Director: Pierre Frank Laporte Global Practice Director: Boutheina Guermazi Practice Manager: Michel Rogy Task Team Leaders: Marc Lixi, Erick Abiassi, Fatou Fadika ABBREVIATIONS AND ACRONYMS ABSU-CEP Universal Telecommunications Service National Agency (Agence Béninoise du Service Universel des Communications Electroniques et de la Poste) ADC Alternative Delivery Channel ADN Digital Development Agency of Benin (Agence pour le Développement du Numérique) AFD French Development Agency (Agence Française de Développement) AI Artificial Intelligence AML/CFT Anti-Money Laundering/Countering the Financing of Terrorism APDP Data Protection Agency (Autorité de Protection des Données
    [Show full text]
  • Republique Du Benin
    REPUBLIC OF BENIN ********** MINISTRY OF AGRICULTURE, LIVESTOCK AND FISHERIES ********** MINISTRY OF ECONOMY AND FINANCE Supplementary Financing Request for the Plan Global Agriculture and Food Security Program (GAFSP) Request from the Government of Benin for Financing of the Food Production Support Project in Alibori, Borgou and Collines Departments (PAPVI-ABC) June 2013 i Acronyms and Abbreviations BADEA : Arab Bank for Economic Development in Africa AfDB : African Development Bank ADF : African Development Fund AFD : French Development Agency DANA : Directorate for Food and Applied Nutrition DGAE : General Directorate for Economic Affairs DPP : Directorate of Programming and Forecasting DRFM : Directorate for Financial and Material Resources EMICoV : Integrated Modular Survey on Household Living Conditions EU : European Union FADEC : Support Fund for Communal Development FAO : Food and Agricultural Organization GAFSP : Global Agriculture and Food Security Program GIZ : German Technical Cooperation IFAD : International Fund for Agricultural Development IFPRI : International Food Policy Research Institute INSAE : National Institute of Statistics and Economic Analysis IsDB : Islamic Development Bank MAEP : Ministry of Agriculture, Livestock and Fisheries MDG : Millennium Development Goals NEPAD : New Partnership for Africa’s Development PASCIB : Platform of Civil Society Stakeholders in Benin PIA : Agricultural Investment Plan PNIA : National Agricultural Investment Programme PNOPPA : National Platform of Farmers’ Organisations and Farmers PSRSA : Strategic Plan for Agricultural Sector Revival PUASA : Emergency Food Security Support Programme SCRP : National Growth Strategy for Poverty Reduction UNDP : United Nations Development Programme WADB : West African Development Bank ii TABLE OF CONTENTS Page Acronyms and Abbreviations, Table of Contents, List of Annexes……………………………i-ii PART 1 SUMMARY OF OVERALL AGRICULTURE AND FOOD SECURITY ................. 1 STRATEGY AND ASSOCIATED INVESTMENT PLAN ........................................................
    [Show full text]