{"type":"survey","doc_desc":{"title":"BFA_2002_EPA_v01_M","idno":"DDI_BFA_2002_EPA_v01_M","producers":[{"name":"Direction des Etudes et de la Planification \/Service des Statistiques Agricoles","abbreviation":"DGPSA\/DSA","affiliation":"Minist\u00e8re de l'Agriculture","role":"Producteur de donn\u00e9es statistiques sur l'agriculture du Burkina"}],"prod_date":"2008-11-10","version_statement":{"version":"Version 01: Adopted from \"BFA-EPA9495-0001\" DDI that was done by metadata producer mentioned in \"Metadata Production\" section."}},"study_desc":{"title_statement":{"idno":"BFA_2002_EPA_v01_M","title":"Enqu\u00eate Permanente Agricole 2002-2003","alt_title":"EPA 2002-03"},"authoring_entity":[{"name":"Direction des Etudes et de la Planification \/Service des Statistiques Agricoles","affiliation":"Minist\u00e8re de l'Agriculture"}],"distribution_statement":{"distributors":[{"name":"DIRECTION GENERALE DES PREVISIONS ET DES STATISTIQUES AGRICOLES\/DIRECTION DES STATISTIQUES AGRICOLES","abbreviation":"DGPSA\/DSA","affiliation":"MINISTERE DE L\u2019AGRICULTURE DE L\u2019HYDRAULIQUE ET DES RESSOURCES HALIEUTIQUES","uri":"www."}],"contact":[{"name":"La Direction G\u00e9n\u00e9rale des Pr\u00e9visions et des Statistiques Agricoles","affiliation":"Minist\u00e8re de l'Agriculture, de l'Hydraulique et des Ressources Halieutiques","email":"agrista@fasonet.bf","uri":"http:\/\/www.sisa.bf"}]},"series_statement":{"series_name":"Agricultural Survey [ag\/oth]","series_info":"Serie de la production c\u00e9r\u00e9ali\u00e8re afin d'\u00e9tablir le bilan c\u00e9r\u00e9alier,ex\u00e9cut\u00e9  chaque ann\u00e9e par la Direction des Etudes et de la Planification c'est une enqu\u00eate de statistique agricole dite Enqu\u00eate Permanente Agricole (EPA)."},"version_statement":{"version_notes":"les fichiers de donn\u00e9e sont des fichiers d\u00e9finitifs"},"study_info":{"abstract":"L'EPA est une enqu\u00eate de production agricole c'est \u00e0 dire une enqu\u00eate dont la vocation premi\u00e8re est l'estimation annuelle du volume de la production. A cet \u00e9gard l'EPA est positionn\u00e9e comme un outil de politique conjoncturelle qui doit fournir aux d\u00e9cideurs :\n- des pr\u00e9visions de r\u00e9coltes c\u00e9r\u00e9ali\u00e8res par province courant octobre ;\n- des estimations apr\u00e8s r\u00e9colte de la production agricole par produit et par province.\n\nCes donn\u00e9es doivent avoir  le degr\u00e9 de pr\u00e9cision requis pour la prise de d\u00e9cision dans des domaines aussi sensibles que celui de la s\u00e9curit\u00e9 alimentaire.\n\nPar ailleurs, le Service des Statistiques Agro-pastorales (SSA) \u00e9tant le lieu naturel de l'expression des besoins en mati\u00e8re de statistiques du secteur agricole, le SSA prendre en compte d'autres objectifs  que les seuls r\u00e9pondant aux seuls besoins des politiques conjoncturelles. Le SSA se doit de produire et de mettre \u00e0 la disposition des utilisateurs, des s\u00e9ries de donn\u00e9es sur les productions, les superficies cultiv\u00e9es, les rendements des cultures. Il  doit aussi mettre  \u00e0 la disposition des utilisateur des donn\u00e9es structurelles  caract\u00e9risant l'agriculture \u00e0 des \u00e9poques donn\u00e9es.  \n\nCompte tenu de ces trois aspects,  une  strat\u00e9gie de production des donn\u00e9es qui donne priorit\u00e9 \u00e0 certains sur d'autres sans  n\u00e9gliger aucun.  Pour cela l'EPA comporte, entre deux recensements de l'agriculture :\n- une ossature fixe qui fonctionne annuellement ;\n- des volets sp\u00e9cifiques selon une programmation donn\u00e9e ;\n- un syst\u00e8me de gestion des donn\u00e9es permettant de r\u00e9pondre \u00e0 des besoins multiformes.\n\nL'ossature fixe  est le cadre qui permet de faire les pr\u00e9visions de r\u00e9coltes c\u00e9r\u00e9ali\u00e8res courant octobre et de fournir courant mars \/ avril, les estimations de production post-r\u00e9colte. Les instruments techniques pour la mise en \u0153uvre de cette ossature permanente sont d\u00e9finis une fois pour toute jusqu'\u00e0 une prochaine restructuration command\u00e9e soit par leur obsolescence soit par des imp\u00e9ratifs de changement d'objectifs.\n  \nLes volets sp\u00e9cifiques r\u00e9pondent aux besoins des utilisateurs pour l'\u00e9laboration, la mise en \u0153uvre et l'\u00e9valuation des politiques de d\u00e9veloppement agricole. Il s'agit en priorit\u00e9 des volets suivant : \n\nPopulation agricoles, occupation de la population agricole et sources de revenus mon\u00e9taires ;\nVulgarisation et pratiques de techniques agricoles ;\nElevage des m\u00e9nages agricoles\nEquipement et intrants des m\u00e9nages agricoles.\nLe cadre technique de l'ossature permanente  sert de cadre de r\u00e9f\u00e9rence pour les volets sp\u00e9cifiques. C'est ainsi que pour ces volets, ont utilise la base et le plan de sondage ainsi que l'\u00e9chantillon (augment\u00e9 si n\u00e9cessaire) de l'ossature permanente.\n\nL'ensemble des donn\u00e9es collect\u00e9es est stock\u00e9 de fa\u00e7on rationnelle sur support informatique de telle sorte que l'acc\u00e8s et l'\u00e9dition de statistiques selon des formats appropri\u00e9s, soient rapides.","coll_dates":[{"start":"2002-07-01","end":"2002-11-30","cycle":""}],"nation":[{"name":"Burkina Faso","abbreviation":"BFA"}],"geog_coverage":"l'enqu\u00eate agricole couvre l'ensemble du milieu rural du pays du Burkina Faso.","analysis_unit":"MENAGE AGRICOLE","universe":"l'ensemble des m\u00e9nages agricoles","data_kind":"Sample survey data [ssd]","notes":"\u00b7 Type de gestion de la parcelle : individuel, collectif ;\n\u00b7 Mode de faire valoir : direct, fermage, m\u00e9tayage ;\n\u00b7 Localisation de la parcelle : pr\u00e8s des cases, en brousse, au campement ;\n\u00b7 Topographie : plaine, bas-fond, versant ;\n\u00b7 Site anti-\u00e9rosif : aucun, cordons pierreux, demi lune, za\u00ef, bourrelet de terre, bande enherb\u00e9e, autres ;\n\u00b7 Existence de pratiques d'agroforesterie\n\u00b7 Nombre d'ann\u00e9es de mise en culture ;\n\u00b7 Nombre d'ann\u00e9es depuis la derni\u00e8re mise en jach\u00e8re ;\n\u00b7 1\u00e8re Culture pratiqu\u00e9e sur la parcelle (campagne pr\u00e9sente) ;\n\u00b7 2\u00e8me Culture pratiqu\u00e9e sur la parcelle  (campagne pr\u00e9sente) ;\n\u00b7 Mode de semis : manuel, semoir ;\n\u00b7 Type de labour : sans labour, lab. Manuel, lab. attel\u00e9, lab. motoris\u00e9 .\n\u00b7 Succession des cultures entre les deux campagnes N-1 et N ;\n\u00b7 Superficie ;\n\u00b7 Poids net production ;\n\u00b7 Pertes : inondation, feu de brousse, mauvais entretien; ravageurs, s\u00e9cheresse.\n\u00b7 Date de r\u00e9colte\n\u00b7 Type de main d'\u0153uvre utilis\u00e9e : r\u00e9mun\u00e9r\u00e9e, entraide\n\u00b7 Cultures port\u00e9es \u00e0 la pr\u00e9c\u00e9dente campagne ;\n\u00b7 Production r\u00e9colt\u00e9e : en ULM et en grains.\n\u00b7 Utilisation de semence s\u00e9lectionn\u00e9e\n\u00b7 Sources de fumures organiques : fosses fumi\u00e8res, ordures m\u00e9nag\u00e8res, pacage d'animaux\n\u00b7 Engrais organiques : quantit\u00e9s utilis\u00e9es en ULM\n\u00b7 Engrais min\u00e9raux : type et quantit\u00e9s\n\u00b7 Produits de traitement : type et quantit\u00e9s\n\u00b7 Nombre de travailleurs par activit\u00e9 et par sexe\n\u00b7 Nombre de jours travaill\u00e9s r\u00e9partis en pr\u00e9paration avant semis, semis \/ entretien, r\u00e9colte \n\u00b7 Nombre de travailleurs par activit\u00e9 et par sexe ;\n\u00b7 Nombre de jours travaill\u00e9s r\u00e9partis en pr\u00e9paration avant semis, semis \/ entretien, r\u00e9colte ;\n\u00b7 Co\u00fbt total en FCFA par activit\u00e9 : pr\u00e9paration avant semis, semis \/ entretien, r\u00e9colte.","study_scope":"\u00b7 Type de gestion de la parcelle : individuel, collectif ;\n\u00b7 Mode de faire valoir : direct, fermage, m\u00e9tayage ;\n\u00b7 Localisation de la parcelle : pr\u00e8s des cases, en brousse, au campement ;\n\u00b7 Topographie : plaine, bas-fond, versant ;\n\u00b7 Site anti-\u00e9rosif : aucun, cordons pierreux, demi lune, za\u00ef, bourrelet de terre, bande enherb\u00e9e, autres ;\n\u00b7 Existence de pratiques d'agroforesterie\n\u00b7 Nombre d'ann\u00e9es de mise en culture ;\n\u00b7 Nombre d'ann\u00e9es depuis la derni\u00e8re mise en jach\u00e8re ;\n\u00b7 1\u00e8re Culture pratiqu\u00e9e sur la parcelle (campagne pr\u00e9sente) ;\n\u00b7 2\u00e8me Culture pratiqu\u00e9e sur la parcelle  (campagne pr\u00e9sente) ;\n\u00b7 Mode de semis : manuel, semoir ;\n\u00b7 Type de labour : sans labour, lab. Manuel, lab. attel\u00e9, lab. motoris\u00e9 .\n\u00b7 Succession des cultures entre les deux campagnes N-1 et N ;\n\u00b7 Superficie ;\n\u00b7 Poids net production ;\n\u00b7 Pertes : inondation, feu de brousse, mauvais entretien; ravageurs, s\u00e9cheresse.\n\u00b7 Date de r\u00e9colte\n\u00b7 Type de main d'\u0153uvre utilis\u00e9e : r\u00e9mun\u00e9r\u00e9e, entraide\n\u00b7 Cultures port\u00e9es \u00e0 la pr\u00e9c\u00e9dente campagne ;\n\u00b7 Production r\u00e9colt\u00e9e : en ULM et en grains.\n\u00b7 Utilisation de semence s\u00e9lectionn\u00e9e\n\u00b7 Sources de fumures organiques : fosses fumi\u00e8res, ordures m\u00e9nag\u00e8res, pacage d'animaux\n\u00b7 Engrais organiques : quantit\u00e9s utilis\u00e9es en ULM\n\u00b7 Engrais min\u00e9raux : type et quantit\u00e9s\n\u00b7 Produits de traitement : type et quantit\u00e9s\n\u00b7 Nombre de travailleurs par activit\u00e9 et par sexe\n\u00b7 Nombre de jours travaill\u00e9s r\u00e9partis en pr\u00e9paration avant semis, semis \/ entretien, r\u00e9colte \n\u00b7 Nombre de travailleurs par activit\u00e9 et par sexe ;\n\u00b7 Nombre de jours travaill\u00e9s r\u00e9partis en pr\u00e9paration avant semis, semis \/ entretien, r\u00e9colte ;\n\u00b7 Co\u00fbt total en FCFA par activit\u00e9 : pr\u00e9paration avant semis, semis \/ entretien, r\u00e9colte."},"method":{"data_collection":{"time_method":"serie de 1993 \u00e0 20007","sampling_procedure":"Plan de sondage\nIl s'agit d'une enqu\u00eate par sondage al\u00e9atoire \u00e0 deux degr\u00e9s, avec stratification \u00e0 chaque degr\u00e9.\n\nBase de sondage\nAu premier degr\u00e9 la base de sondage est constitu\u00e9e par la liste des villages issus du recensement de 1985.\n\nAu deuxi\u00e8me degr\u00e9 la base de sondage est obtenue en dressant la liste des m\u00e9nages agricoles des villages tir\u00e9s au premier degr\u00e9.\n\nTaille des \u00e9chantillons\nAu premier degr\u00e9, le nombre de villages \u00e9chantillons par province est proportionnel \u00e0 la population de la province.\n\nL'\u00e9chantillon est tir\u00e9 par province proportionnellement \u00e0 la taille du village, de fa\u00e7on syst\u00e9matique apr\u00e8s classification des villages par ordre de taille croissante. Le nombre de villages \u00e9chantillons est de 706 au total. En fait, cet \u00e9chantillon est un sous-\u00e9chantillon de l'enqu\u00eate nationale sur les statistiques agricoles de 1993.\n\nAu deuxi\u00e8me degr\u00e9, dans chaque village \u00e9chantillon, on tire 8 m\u00e9nages agricoles \u00e0 probabilit\u00e9 \u00e9gale quel que soit le nombre de m\u00e9nages agricoles dans le village. Les m\u00e9nages \u00e9chantillons sont ainsi au nombre de 5648 pour l'ensemble du pays","coll_mode":"Face-to-face [f2f]","research_instrument":"Trois questionnaires sont utilis\u00e9s pour l'\u00e9valuation de la campagne:\nFiche n\u00b03: Mesure et pose de carr\u00e9s, dont l'objectif est d'estimer les superficies et les rendements des parcelles recens\u00e9es.\nFiche n\u00b05: Estimation des stocks paysans (interview) dont l'objectif est d'estimer, par interview, les stocks des paysans au 30 septembre.\nFiche n\u00b06: Estimation des stocks paysans (mesure) dont l'objectif est d'\u00e9valuer, par mesure des greniers, les stocks paysans.\nFiche n\u00b07: Pr\u00e9vision des r\u00e9coltes dont l'objectif est d'estimer la production pr\u00e9visionnelle de la campagne.","weight":"Coefficients d'extrapolation\nUne fois le plan de sondage adopt\u00e9, on calcule les Coefficients d'extrapolation pour chacune des unit\u00e9s (voir formule ci-apr\u00e8s).\nSoit :\nh : la strate du village\nPh : la population totale des villages de la strate h dans la province\nmh : le nombre de villages \u00e9chantillons de la strate h dans la province\nphi : la population du village i de la strate h\nk : la strate du m\u00e9nage\nNhik : le nombre total de m\u00e9nages agricoles de la strate k dans le village i de la strate h\nnhik : le nombre de m\u00e9nages \u00e9chantillons de la strate k dans le village i de la strate h\nPour tout village i de la strate h, nous avons deux coefficients d'extrapolation. ( Chi1 et Chi2 )\n* Pour k= 1 ( les m\u00e9nages de la strate 1 )\n1 Ph Nhi1\nChi1 = ---- S ------- X --------- h= 1 ou\n2\nmh i=1 Phi nhi1\n* Pour k= 2 ( les m\u00e9nages de la strate 2 )\n1 Ph Nhi2\nChi2 = ---- S ------- x --------- h= 1 ou 2\nmh i=1 Phi nhi2","cleaning_operations":"TRAITEMENT INFORMATIQUE DES DONNEES\nLa phase de traitement commence quant l'op\u00e9ration de saisie est achev\u00e9e. Signalons que la double saisie est retenue c'est \u00e0 dire que les m\u00eames donn\u00e9es sont saisies par deux \u00e9quipes diff\u00e9rentes A et B. \n\nApurement\n\u2022\u2022 v\u00e9rification que tous les villages et m\u00e9nages \u00e9chantillons enqu\u00eat\u00e9s sont saisis (exhaustivit\u00e9 des unit\u00e9s)\n\u2022\u2022 d\u00e9celer les erreurs de saisie\n\u2022\u2022 v\u00e9rification que les donn\u00e9es sont compl\u00e8tes et coh\u00e9rentes\n\u2022\u2022 Le contr\u00f4le des r\u00e9ponses ou les totaux manquants ou aberrants.\n\nExhaustivit\u00e9 des unit\u00e9s\nLa confrontation du fichier de r\u00e9f\u00e9rence1 et du fichier de donn\u00e9es permet de v\u00e9rifier si tous les villages et m\u00e9nages \u00e9chantillons enqu\u00eat\u00e9s ont \u00e9t\u00e9 saisis.\n\nCette op\u00e9ration de l'apurement est importante car son r\u00e9sultat permet de maintenir ou de recalculer les coefficients d'extrapolation pr\u00e9alablement \u00e9tablis. \n\nErreurs de saisie\nAvec la double saisie A et B, les erreurs de saisie sont identifi\u00e9es en confrontant les deux fichiers.\n\nTest de coh\u00e9rence\nLe test de coh\u00e9rence a pour objectif de v\u00e9rifier les incoh\u00e9rences internes, l'exactitude et la vraisemblance des donn\u00e9es. C'est une \u00e9tape importante car la coh\u00e9rence des r\u00e9ponses est un des indicateurs de la qualit\u00e9 des donn\u00e9es. 1 Le fichier de r\u00e9f\u00e9rence est la liste des villages et m\u00e9nages \u00e9chantillons effectivement enqu\u00eat\u00e9s.\n\nTest de coh\u00e9rence interne\nDans ce type de contr\u00f4le, on examine les r\u00e9ponses aux diverses questions pour rep\u00e9rer les \u00e9ventuelles contradictions (par exemple, poids net sup\u00e9rieur \u00e0 poids brut).\n\nV\u00e9rification de l'exactitude\nLes tests d'exactitude consistent essentiellement \u00e0 v\u00e9rifier les additions et les multiplications. Par exemple, la somme des animaux appartenant aux hommes et aux femmes du m\u00e9nage doit \u00eatre \u00e9gale au total des animaux appartenant au m\u00e9nage.\n\nV\u00e9rification de la vraisemblance\nLes tests de vraisemblance consistent \u00e0 comparer les donn\u00e9es recueillies \u00e0 d'autres donn\u00e9es d\u00e9j\u00e0 publi\u00e9es. Par exemple comparer les rendements aux rendements maximaux fournit par la recherche.\n\nTabulation\nC'est apr\u00e8s toutes ces \u00e9tapes d'apurement qu'intervient la phase de la tabulation.\n\nTableaux des superficies\nLes superficies calcul\u00e9es sont les superficies de pr\u00e9sence en distinguant les superficies en culture pure d'une part et d'autre part les superficies en cultures associ\u00e9es, association par association. On note toutefois que seules les deux principales cultures dans l'association sont retenues.\n\nTableaux des rendements\nLes rendements des cultures sont calcul\u00e9s selon le m\u00eame sch\u00e9ma. Ce sont des rendements moyens simples obtenus sur les carr\u00e9s de 25m\u00b2."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"Les donn\u00e9es ne devront \u00eatre ni copier ni transmises \u00e0 d'autres personnes ou organisation directement ou indirectement sans l'accord de la DGPSA","required":"yes","form_no":"","uri":""}],"contact":[{"name":"La Direction G\u00e9n\u00e9rale des Pr\u00e9visions et des Statistiques Agricoles","affiliation":"Minist\u00e8re de l'Agriculture, de l'Hydraulique et des Ressources Halieutiques","email":"agrista@fasonet.bf","uri":"http:\/\/www.sisa.bf"}],"cit_req":"1.Toute publication \u00e0 l'aide des donn\u00e9es de l'EPA devra explicitement citer la source des donn\u00e9es ou la mentionner la contribution de la DGPSA","conditions":"1. L'utilisateur devra informer pr\u00e9alablement par \u00e9crit la DGPSA de l'utilisation qui sera faite des donn\u00e9es. Une copie du projet d'\u00e9tude doit \u00eatre transmis \u00e0 la DGPSA.\n2. Trois copies de rapport produit sur la base des donn\u00e9es de l'EPA seront transmises \u00e0 la DGPSA pour information et commentaire","disclaimer":"La DGPSA rejette toute responsabilit\u00e9 pour ce qui est des effets et \/ou des cons\u00e9quences r\u00e9sultant de l'analyse et \/ou autres op\u00e9rations effectu\u00e9e sur la base des donn\u00e9es produite par le une personne ou une organisation tiers a la DGPSA"}}},"data_files":[{"file_id":"F1","file_name":"F1  RECENSEMENT DES MEMBRES DU MENAGE_2002 -2003","description":null,"case_count":"41267","var_count":"23","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"F2  RECENSEMENT DES PARCELLES DU MENAGE 2002-2003","description":null,"case_count":"34106","var_count":"152","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F3","file_name":"F7  CHEPTEL DU MENAGE 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