Analyse Intégrée Du Contexte (AIC) Partie I : Rapport Technique
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Summary of Protected Areas in Chad
CHAD Community Based Integrated Ecosystem Management Project Under PROADEL GEF Project Brief Africa Regional Office Public Disclosure Authorized AFTS4 Date: September 24, 2002 Team Leader: Noel Rene Chabeuf Sector Manager: Joseph Baah-Dwomoh Country Director: Ali Khadr Project ID: P066998 Lending Instrument: Adaptable Program Loan (APL) Sector(s): Other social services (60%), Sub- national government administration (20%), Central government administration (20%) Theme(s): Decentralization (P), Rural services Public Disclosure Authorized and infrastructure (P), Other human development (P), Participation and civic engagement (S), Poverty strategy, analysis and monitoring (S) Global Supplemental ID: P078138 Team Leader: Noel Rene Chabeuf Sector Manager/Director: Joseph Baah-Dwomoh Lending Instrument: Adaptable Program Loan (APL) Focal Area: M - Multi-focal area Supplement Fully Blended? No Sector(s): General agriculture, fishing and forestry sector (100%) Theme(s): Biodiversity (P) , Water resource Public Disclosure Authorized management (S), Other environment and natural resources management (S) Program Financing Data Estimated APL Indicative Financing Plan Implementation Period Borrower (Bank FY) IDA Others GEF Total Commitment Closing US$ m % US$ m US$ m Date Date APL 1 23.00 50.0 17.00 6.00 46.00 11/12/2003 10/31/2008 Government of Chad Loan/ Credit APL 2 20.00 40.0 30.00 0 50.00 07/15/2007 06/30/2012 Government of Chad Loan/ Credit Public Disclosure Authorized APL 3 20.00 33.3 40.00 0 60.00 03/15/2011 12/31/2015 Government of Chad Loan/ Credit Total 63.00 93.00 156.00 1 [ ] Loan [X] Credit [X] Grant [ ] Guarantee [ ] Other: APL2 and APL3 IDA amounts are indicative. -
Paper Submitted for Presentation at UNU-WIDER’S Conference, Held in Maputo on 5-6 July 2017
DRAFT WIDER Development Conference Public economics for development 5-6 July 2017 | Maputo, Mozambique This is a draft version of a conference paper submitted for presentation at UNU-WIDER’s conference, held in Maputo on 5-6 July 2017. This is not a formal publication of UNU-WIDER and may refl ect work-in-progress. THIS DRAFT IS NOT TO BE CITED, QUOTED OR ATTRIBUTED WITHOUT PERMISSION FROM AUTHOR(S). The impact of oil exploitation on wellbeing in Chad Abstract This study assesses the impact of oil revenues on wellbeing in Chad. Data used come from the two last Chad Household Consumption and Informal Sector Surveys ECOSIT 2 & 3 conducted in 2003 and 2011 by the National Institute of Statistics and Demographic Studies. A synthetic index of multidimensional wellbeing (MDW) is first estimated using a multiple components analysis based on a large set of welfare indicators. The Difference-in-Difference approach is then employed to assess the impact of oil revenues on the average MDW at departmental level. Results show that departments receiving intense oil transfers increased their MDW about 35% more than those disadvantaged by the oil revenues redistribution policy. Also, the farther a department is from the capital city N’Djamena, the lower its average MDW. Economic inclusion may be better promoted in Chad if oil revenues fit local development needs and are effectively directed to the poorest departments. Keys words: Poverty, Multidimensional wellbeing, Oil exploitation, Chad, Redistribution policy. JEL Codes: I32, D63, O13, O15 Authors Gadom -
IOM Nigeria DTM COVID-19 Point of Entry Dashboard (June 2020)
COVID-19 Point of Entry Dashboard: DTM North East Nigeria. Nigeria Monthly Snapshot June, 2020 Mamdi Barh-El-Gazel Ouest Wayi Mobbar Kukawa Lac Guzamala Dagana Dababa 45 766 Gubio Hadjer-Lamis Total movements (within, incoming and outgoing) Monguno Points of Entry Nganzai Ghana Haraze-Al-Biar observed Marte Magumeri Ngala N'Djamena 7 N'Djaména Yobe 164 Kala/Balge 13 OVERVIEW Jere Mafa Dikwa IOM DTM in collaboration with the World Health Organization (WHO) and the state Ministry of Health Maiduguri 13 Chari Kaga Chad Baguirmi have been conducting monitoring of individuals moving into Nigeria's conflict-affected northeastern Konduga Bama Chari-Baguirmi Bauchi states of Adamawa and Borno under pillar four (Points of entry) of COVID 19 preparedness and Borno Pulka Immigration Poe response planning guidelines. Gwoza Nigeria Damboa 29 211 Mayo-Lemié Chibok During the period 1 to 30 June 2020, 766 movements were observed at Forty Five Points of Entries in Biu Madagali Loug-Chari Extreme-Nord Adamawa and Borno states. Of the total movements recorded, 211 were incoming from Extreme-Nord, Askira/Uba Michika Mubi Road Kwaya Kusar Uba 34 from Nord, 6 from Centre in Cameroon and 13 from N’Djamena in Chad republic. A total of 264 Bayo Hawul Gombe 35 Mubi North Mayo-Boneye Incoming movements were observed at Seventeen Points of Entries. Bauchi HongMunduva Bahuli Shani Gombi BurhaKwaja Mayo-Kebbi Est 6 Kolere 4 Cameroon Shelleng Mayo-Binder A range of data was collected during the assessment to better inform on migrants’ nationalities, gender, Guyuk Song Maiha Mont Illi Bauchi Tashan Belel reasons for moving, mode of transportation and timeline of movement as shown in Figures 1 to 4 below: Adamawa 1 Tandjilé Est Lac Léré Lamurde 1 Kabbia Numan Girei Bilaci Tandjile Ouest Demsa Yola South Garin Dadi Mayo-Kebbi Ouest Tandjilé Kwarwa 34 Tandjilé Centre MAIN NATIONALITIES OBSERVED (FIG. -
Working Paper 2017-06
worki! ownng pap er 2017-06 Universite Laval The impact of oil exploitation on wellbeing in Chad Gadom Djal Gadom Armand Mboutchouang Kountchou Gbetoton Nadège Adèle Djossou Gilles Quentin Kane Abdelkrim Araar February 2017 i The impact of oil exploitation on wellbeing in Chad Abstract This study assesses the impact of oil revenues on wellbeing in Chad using data from the two last Chad Household Consumption and Informal Sector Surveys (ECOSIT 2 & 3), conducted in 2003 and 2011, respectively, by the National Institute of Statistics for Economics and Demographic Studies (INSEED) and, from the College for Control and monitoring of Oil Revenues (CCSRP). To achieve the research objective, we first estimate a synthetic index of multidimensional wellbeing (MDW) based on a large set of welfare indicators. Then, the Difference-in-Difference (DID) approach is used to assess the impact of oil revenues on the average MDW at departmental level. We find evidence that departments receiving intense oil transfers increased their MDW about 35% more than those disadvantaged by the oil revenues redistribution policy. Moreover, the further a department is from the capital city N’Djamena, the lower its average MDW. We conclude that to better promote economic inclusion in Chad, the government should implement a specific policy to better direct the oil revenue investment in the poorest departments. Keys words: Poverty, Multidimensional wellbeing, Oil exploitation, Chad, Redistribution policy. JEL Codes: I32, D63, O13, O15 Authors Gadom Djal Gadom Mboutchouang -
Régions De Logone Occidental Et Logone Oriental
TCHAD - Régions de Logone occidental et Logone Oriental Pour usage humanitaire uniquement Carte de référence Date de production: 07 septembre 2018 15°30'0"E 16°0'0"E 16°30'0"E 17°0'0"E Gounou Koré Marba Kakrao Ambasglao Boudourr Oroungou Gounaye Djouman Goubou Gabrigué Tagal I Drai Mala Djoumane Disou Kom Tombouo Landou Marba Gogor Birem Dikna Goundo Nongom Goumga Zaba I Sadiki Ninga Pari N N " Baktchoro Narégé " 0 0 ' Pian Bordo ' 0 0 3 Bérem Domo Doumba 3 ° ° 9 Brem 9 Tchiré Gogor Toguior Horey Almi Zabba Djéra Kolobaye Kouma Tchindaï Poum Mbassa Kahouina Mogoy Gadigui Lassé Fégué Kidjagué Kabbia Gounougalé Bagaye Bourmaye Dougssigui Gounou Ndolo Aguia Tchilang Kouroumla Kombou Nergué Kolon Laï Batouba Monogoy Darbé Bélé Zamré Dongor Djouni Koubno Bémaye Koli Banga Ngété Tandjile Goun Nanguéré Tandjilé Dimedou Gélgou Bongor Madbo Ouest Nangom Dar Gandil Dogou Dogo Damdou Ngolo Tchapadjigué Semaïndi Layane Béré Delim Kélo Dombala Tchoua Doromo Pont-Carol Dar Manga Beyssoa Manaï I Baguidja Bormane Koussaki Berdé Tandjilé Est Guidari Tandjilé Guessa Birboti Tchagra Moussoum Gabri Ngolo Kabladé Kasélem Centre Koukwala Toki Béro Manga Barmin Marbelem Koumabodan Ter Kokro Mouroum Dono-Manga Dono Manga Nantissa Touloum Kalité Bayam Kaga Palpaye Mandoul Dalé Langué Delbian Oriental Tchagra Belimdi Kariadeboum Dilati Lao Nongara Manga Dongo Bitikim Kangnéra Tchaouen Bédélé Kakerti Kordo Nangasou Bir Madang Kemkono Moni Bébala I Malaré Bologo Bélé Koro Garmaoa Alala Bissigri Dotomadi Karangoye Dadjilé Saar-Gogne Bala Kaye Mossoum Ngambo Mossoum -
Ethnicisation Du Commerce À N'djamena
Ethnicisation du commerce à N’Djamena Ezept Valmo Kimitene To cite this version: Ezept Valmo Kimitene. Ethnicisation du commerce à N’Djamena. Géographie. Université Michel de Montaigne - Bordeaux III, 2013. Français. NNT : 2013BOR30063. tel-01614002 HAL Id: tel-01614002 https://tel.archives-ouvertes.fr/tel-01614002 Submitted on 10 Oct 2017 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. Université Michel de Montaigne Bordeaux École Doctorale Montaigne Humanités (ED 480) THÈSE DE DOCTORAT EN GEOGRAPHIE HUMAINE ETHNICISATION DU COMMERCE A NDJAMENA Présentée et soutenue publiquement le 23 septembre 2013 par Ezept Valmo KIMITENE Sous la direction de Denis Retaillé Membres du jury : Christian BOUQUET, professeur, université de Bordeaux3. Emmanuel GREGOIRE, chercheur à l’IRD, Paris. Géraud MAGRIN, chercheur au Cirad, Montpellier. Abel KOUVOUAMA, professeur, université de Pau. Denis RETAILLE, professeur, université de Bordeaux3. A la mémoire de ma grand-mère, Sétouma Bangta ! Page | 1 Page | 2 Remerciements Je voudrais du fond de mon cœur adresser mes remerciements à tous et, tout particulièrement à mon directeur, monsieur Denis Retaillé qui m’a fait confiance en acceptant de diriger cette thèse. Tout au long ce parcours, ses conseils m’ont été très précieux. -
CAR CMP Population Moveme
CENTRAL AFRICAN REPUBLIC SITUATION Election-related displacements in CAR Cluster Protec�on République Centrafricaine As of 30 April 2021 Chari Dababa Guéra KEY FIGURES Refugee camp Number of CAR IDPs Mukjar As Salam - SD Logone-et-Chari Abtouyour Aboudéia !? Entry point Baguirmi newly displaced Kimi� Mayo-Sava Tulus Gereida Interna�onal boundaries Number of CAR returns Rehaid Albirdi Mayo-Lemié Abu Jabrah 11,148 15,728 Administra�ve boundaries level 2 Barh-Signaka Bahr-Azoum Diamaré SUDAN Total number of IDPs Total number of Um Dafoug due to electoral crisis IDPs returned during Mayo-Danay during April April Mayo-Kani CHAD Mayo-Boneye Birao Bahr-Köh Mayo-Binder Mont Illi Moyo Al Radoum Lac Léré Kabbia Tandjile Est Lac Iro Tandjile Ouest Total number of IDPs ! Aweil North 175,529 displaced due to crisis Mayo-Dallah Mandoul Oriental Ouanda-Djalle Aweil West La Pendé Lac Wey Dodjé La Nya Raja Belom Ndele Mayo-Rey Barh-Sara Aweil Centre NEWLY DISPLACED PERSONS BY ZONE Gondje ?! Kouh Ouest Monts de Lam 3,727 8,087 Ouadda SOUTH SUDAN Sous- Dosseye 1,914 Kabo Bamingui Prefecture # IDPs CAMEROON ?! ! Markounda ! prefecture ?! Batangafo 5,168!31 Kaga-Bandoro ! 168 Yalinga Ouham Kabo 8,087 Ngaoundaye Nangha ! ! Wau Vina ?! ! Ouham Markounda 1,914 Paoua Boguila 229 Bocaranga Nana Mbres Ouham-Pendé Koui 406 Borgop Koui ?! Bakassa Bria Djema TOuham-Pendéotal Bocaranga 366 !406 !366 Bossangoa Bakala Ippy ! Mbéré Bozoum Bouca Others* Others* 375 ?! 281 Bouar Mala Total 11,148 Ngam Baboua Dekoa Tambura ?! ! Bossemtele 2,154 Bambari Gado 273 Sibut Grimari -
World Bank Document
Document of The World Bank Public Disclosure Authorized Report No: ICR00001686 IMPLEMENTATION COMPLETION AND RESULTS REPORT (IDA-H1260) ON A GRANT IN THE AMOUNT OF SDR 16.4 MILLION Public Disclosure Authorized (US$ 23.0 MILLION EQUIVALENT) TO THE REPUBLIC OF CHAD FOR A LOCAL DEVELOPMENT PROGRAM SUPPORT PROJECT December 30, 2010 Public Disclosure Authorized Agriculture and Rural Development Unit Sustainable Development Department Country Department AFCW3 Africa Region Public Disclosure Authorized CURRENCY EQUIVALENTS (Exchange Rate Effective November 2010) Currency Unit = CFA Franc At Appraisal: FCFA 1 = US$0.0017 US$1 = FCFA 531 At ICR mission: FCFA 1.00 = US$ 0.0021 US$ 1.00 = FCFA475 FISCAL YEAR January 1-December 31 ABBREVIATIONS AND ACRONYMS ACD Assemblée communautaire de développement (Local Development Assembly) AFD French Development Agency (Agence Française de Développement) AEDE Agency for Domestic Energy and Environment (Agence pour l’Energie Domestique et l’Environnement) ASPOP Agricultural Services and Producer Organizations Project (Projet d’Appui aux Services Agricoles et aux Organisations de Producteurs - PASAOP) APL Adaptive Program Lending CBD Community Based Development CBO Community-Based Organization CDD Community Driven Development CLTO Chadian Land Tenure Office (Observatoire Foncier du Tchad - OFT). DDAC Departmental Decision and Approval Committee FACIL Local Initiatives Fund (Fonds d’Actions Concertées d’lnitiative Locale) FADN Fight Against Desertification National Plan FCFA Franc de la Communauté Financière -
Chapter 1 Present Situation of Chad's Water Development and Management
1 CONTEXT AND DEMOGRAPHY 2 With 7.8 million inhabitants in 2002, spread over an area of 1 284 000 km , Chad is the 25th largest 1 ECOSI survey, 95-96. country in Africa in terms of population and the 5th in terms of total surface area. Chad is one of “Human poverty index”: the poorest countries in the world, with a GNP/inh/year of USD 2200 and 54% of the population proportion of households 1 that cannot financially living below the world poverty threshold . Chad was ranked 155th out of 162 countries in 2001 meet their own needs in according to the UNDP human development index. terms of essential food and other commodities. The mean life expectancy at birth is 45.2 years. For 1000 live births, the infant mortality rate is 118 This is in fact rather a and that for children under 5, 198. In spite of a difficult situation, the trend in these three health “monetary poverty index” as in reality basic indicators appears to have been improving slightly over the past 30 years (in 1970-1975, they were hydraulic infrastructure respectively 39 years, 149/1000 and 252/1000)2. for drinking water (an unquestionably essential In contrast, with an annual population growth rate of nearly 2.5% and insufficient growth in agricultural requirement) is still production, the trend in terms of nutrition (both quantitatively and qualitatively) has been a constant insufficient for 77% of concern. It was believed that 38% of the population suffered from malnutrition in 1996. Only 13 the population of Chad. -
Tchad: Situations De Conflits, Inondations Et Ennemis Des Cultures Mise À Jour Du 9 Octobre 2017
Tchad: situations de conflits, inondations et ennemis des cultures Mise à jour du 9 octobre 2017 Légendes Tibesti Ouest TIBESTI Inondations Tibesti Est Conflits éleveurs Oiseaux granivores Chenilles légionnaires Fada ENNEDI OUEST Am-Djarass Borkou Yala ENNEDI EST 7 oct. à Koundjourou BORKOU (Dpt de Batha Ouest) Destruction des Borkou cultures par les Mourtcha oiseaux granivores à 14.000 ha envahies, Wadi Hawar 6.241,8 t détruites et Nord Kanem Kobé 4.964 ménages KANEM WADI FIRA Mégri touchés Biltine Barh-El-Gazel Nord 7 oct. Dar-Tama Batha Ouest à Ouaddi Faman Kanem BARH-EL-GAZEL Fouli (18.108 habitants) BATHA Batha Est Barh-El-Gazel Sud Ouara Assoungha dans la sous- Kaya LAC Wadi Bissam OUADDAÏ Wayi Barh-El-Gazel Ouest préfecture d’Arada Mamdi (Dpt de Biltine). Dagana Abdi Fitri Conflits ente HADJER-LAMIS Mangalmé Haraze-Al-Biar éleveurs 4 oct. N’Djamena Dababa Djourf Al Ahmar N'Djaména Guéra SILA 3 morts. Invasion de champ Abtouyour dans la banlieue de N'DJAMENA Kimiti Chari Baguirmi et du champ de GUÉRA Aboudéia maïs de l’ITRAD par CHARI-BAGUIRMI Inondations: Bahr-Azoum les chenilles Mayo-Lemié Barh-Signaka Salamat: Barh Azoum: env. 388,5 ha SALAMAT légionnaires détruites Loug-Chari Mayo-Boneye Mandoul: Mandoul Oriental: 42 villages, MAYO-KEBBI EST 1.445 personnes touchées, 1.453 ha. Pas Mayo-Binder Mont Illi Haraze-Mangueigne de données sur le Mandoul Oriental et Lac Léré Lac Iro Kabbia Tandjilé Est Bahr-Köh Barh Sara affectés aussi MAYO-KEBBI OUEST Tandjile OuestTANDJILÉ MOYEN-CHARI Tandjilé Centre Logone Oriental: Dpt de Nya Pende: Mayo-Dallah Mandoul Oriental Guéni Ngourkosso La Pendé 465 ha détruites – pas de ménages Lac Wey Dodjé MANDOUL touchés estimés La NyaMandoul Occidental LOGONE OCCIDENTAL Grande Sido Kouh Est Nya, Kouh-Est, Pende: pas de données LOGONE ORIENTAL Barh-Sara Kouh Ouest sur les personnes et superficies Monts de Lam La Nya Pendé Affectées Moyen Chari: Grande Sido: env. -
Rapid Livelihood Zone Profiles for Chad
RAPID LIVELIHOOD ZONE PROFILES A SPECIAL REPORT BY THE FAMINE EARLY WARNING SYSTEMS NETWORK (FEWS NET) August 2011 Contents Acknowledgments ......................................................................................................................................... 2 Introduction .................................................................................................................................................. 3 The Uses of the Profiles ............................................................................................................................ 4 Key Concepts ............................................................................................................................................. 5 What is in a Livelihood Profile .................................................................................................................. 7 Methodology ............................................................................................................................................. 8 Rapid Livelihood Zone Profiles for Chad ....................................................................................................... 9 National Overview .................................................................................................................................... 9 Zone 1: South cereals and cash crops ..................................................................................................... 13 Zone 2: Southwest Rice Dominant ......................................................................................................... -
IOM Nigeria DTM COVID-19 Point of Entry Dashboard
COVID-19 Point of Entry Dashboard: DTM North East Nigeria. Nigeria Monthly Snapshot May, 2020 23 444 Nord Kanem Kanem Kanem Points of Entry Incoming movements Fouli Barh-El-Gazel Sud Niger Republic 1 Lac Kaya Wadi Bissam OVERVIEW Abadam Chad Wayi Mamdi IOM DTM in collaboration with the World Health Organization (WHO) and the state Ministry of Health Mobbar Kukawa Katsina Guzamala have been conducting monitoring of individuals moving into Nigeria's conflict-affected northeastern Nile Hadjer-Lamis Dagana Gubio states of Adamawa and Borno under pillar four (Points of entry) of COVID 19 preparedness and Monguno Nganzai Haraze-Al-Biar 1 Marte GhanaGhana Gate 4 Yobe Gamboru B response planning guidelines. Jigawa Ngala Magumeri 311 N'Djamena 3 Dikwa military gate N'Djaména Jere Mafa Kala/Balge 5 Borno Dikwa Maiduguri During the period 1 to 31 May 2020, 444 movements were observed at twenty three Points of Entries in Chari Kano Kaga 5 Konduga Baguirmi Bama Adamawa and Borno states. Of the total movements recorded, 367 were incoming from Extreme-Nord, Chari-Baguirmi Pulka immigrationBokko 46 from Nord, 14 from Quest, 6 from Nord-Quest, 5 from Centre in Cameroon; 5 from N’Djamena in Gwoza Damboa Motor park 5 Chad republic and 1 from Niger Republic . Tashan Tsamiya Vidik Mayo-Lemié Chibok Biu Madagali Extreme-Nord Kamale Askira/Uba 2 1 Michika Kwaya Kusar Hawul Mubi North Mayo-Boneye A range of data was collected during the assessment to better inform on migrants’ nationalities, gender, Gombe Nzakwa 367 2 Bauchi Bayo 2 Hong Monduva reasons for moving, mode of transportation and timeline of movement as shown in Figures 1 to 4 below: Kaduna 1 Shani Gombi 28 Madanya 3 Mubi South Nigeria 2 Shelleng Mayo-Binder Guyuk Song Maiha Mont Illi Belel Mayo-Kebbi Est Lac Léré MAIN NATIONALITIES OBSERVED (FIG.