{"type":"survey","doc_desc":{"title":"BFA_2000_EPA_v01_M","idno":"DDI_BFA_2000_EPA_v01_M","producers":[{"name":"Direction G\u00e9n\u00e9rale des Pr\u00e9visions et des Statistiques Agricoles\/ Direction des Statistiques Agricoles","abbreviation":"DGPSA\/DSA","affiliation":"Minist\u00e8re de l'Agriculture, de l'Hydraulique et des Ressources Halieutiques","role":"Producteur de donn\u00e9es statistiques sur l'agriculture du Burkina"}],"prod_date":"2008-11-10","version_statement":{"version":"Version 01: Adopted from \"DDI-BFA-MAHRH-DGPSA-EPA0001-V2.1\" DDI that was done by metadata producer mentioned in \"Metadata Production\" section."}},"study_desc":{"title_statement":{"idno":"BFA_2000_EPA_v01_M","title":"Enqu\u00eate Permanente Agricole 2000-2001","alt_title":"EPA 2000-01"},"authoring_entity":[{"name":"Direction G\u00e9n\u00e9rale des Pr\u00e9visions et des Statistiques Agricoles\/ Direction des Statistiques Agricoles","affiliation":"Minist\u00e8re de l'Agriculture, de l'Hydraulique et des Ressources Halieutiques"}],"oth_id":[{"name":"FAO","affiliation":"","email":"","role":"Assistance technique internationale "}],"production_statement":{"funding_agencies":[{"name":"GOUVERNEMENT","abbreviation":"","role":"Partenaire financier local "},{"name":"Royaume du Danemark","abbreviation":"","role":"partenaires au d\u00e9veloppement "},{"name":"l\u2019Union Europ\u00e9enne","abbreviation":"","role":"partenaires au d\u00e9veloppement "}]},"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":"agristat@fasonet.bf","uri":"http:\/\/www.sisa.bf"}]},"series_statement":{"series_name":"Agricultural Survey [ag\/oth]","series_info":"Depuis l'ENSA 1993, cette enqu\u00eate est r\u00e9alis\u00e9e annuellement sur l'\u00e9tendue du territoire aupr\u00e8s des m\u00e9nages agricoles"},"version_statement":{"version_notes":"les fichiers de donn\u00e9e sont des fichiers  apur\u00e9s"},"study_info":{"keywords":[{"keyword":"PRODUCTIONS","uri":"","vocab":""},{"keyword":"RENDEMENTS","uri":"","vocab":""},{"keyword":"SUPERFICIES","uri":"","vocab":""}],"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, dans le sousie de prendre en compte d'autres objectifs  que les seuls r\u00e9pondant aux seuls besoins des politiques conjoncturelles. Le DGPSA 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, il faut  adopter  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.","time_periods":[{"start":"2000-07-01","end":"2000-12-30","cycle":""}],"coll_dates":[{"start":"2000-07-01","end":"2000-12-30","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 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 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 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","study_scope":"\u00b7 Type de gestion de la parcelle : individuel, collectif ;\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 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 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"},"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]","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 des donn\u00e9es de la fiche F1 ( Membres du m\u00e9nage)\n\nIl s'agit des donn\u00e9es d\u00e9mographiques du m\u00e9nage. Le  fichier  des donn\u00e9es de F1 extrait de  A10001.BCH est tri\u00e9 par province, d\u00e9partement , village, strate et m\u00e9nage. On s'int\u00e9resse \u00e0 la population des m\u00e9nages et au nombre de m\u00e9nages agricole de la province. On cr\u00e9e une variable compteur pour le m\u00e9nage: elle est initialis\u00e9e \u00e0 la valeur du Coefficient d'extrapolation et devient 0 \u00e0 chaque fois qu'il n'y a pas de rupture de s\u00e9quence. Ce fichier est  agr\u00e9g\u00e9 au niveau province en sommant la variable compteur dans la variable NBR_men et le coefficient d'extrapolation dans la variable POP_tot. Le fichier r\u00e9sultat contient le nombre d'exploitations et la population agricole de la strate de la province. \n\nTraitement des donn\u00e9es de la fiche F3 (Superficie parcelle)\n\nIl s'agit des superficies des parcelles. La variable superficie est extrapol\u00e9e par C1i ou C1i\u00ad_1 selon le cas pour la strate 1. \n\nOn \u00e9dite directement les tableaux superficies cultiv\u00e9es par culture principale sauf pour le ni\u00e9b\u00e9 pour lequel la culture secondaire est significative en olieu et place de la culture principale;\nOn cr\u00e9e le fichier n\u00e9cessaire au calcul de la production\n\nPour le second point, on cr\u00e9e une variable superficie pour chaque culture et association de culture. Exemple: \"Smil1\" pour mil premi\u00e8re culture; \"Smilp\" pour mil en culture pure.\n\nIl faut remarquer que l'on doit distinguer \u00e0 ce stade le sorgho blanc du sorgho rouge. Une fois ces variables cr\u00e9es, on fait leur sommation par agr\u00e9gation par province et strate.   \n\nTraitement des donn\u00e9es de la fiche F4 (stocks)\n\nLes donn\u00e9es de la fiche F4 sont d\u00e9mari\u00e9e de celles de la fiche F5. Le calcul des stocks est simple. On  calcule la quantit\u00e9 extrapol\u00e9e de stock dans chaque grenier en faisant: coefficient * \u00e9quivalent* nombre d'unit\u00e9s; la valeur est mise dans la variable STOCK. On tabule directement le fichier par province. Pour le  stock moyen par m\u00e9nage, on le m\u00eame fichier F4 est agr\u00e9g\u00e9 par province; on y importe la variable NBR_men  pour calculer le stock par province et par c\u00e9r\u00e9ale puis toutes c\u00e9r\u00e9ales.     \n\nTraitement des donn\u00e9es de la fiche F5 (Pr\u00e9visions) Le traitement de la fiche F5 est identique \u00e0 celui de la fiche F4.\n\nTraitement des donn\u00e9es de la fiche F6 (Rendement)\nLes rendements \u00e9l\u00e9mentaires sont calcul\u00e9s  \u00e0 partir du fichier. On y importe la superficie de la parcelle.  Si On calcule le Poids net r\u00e9colte= (poids net r\u00e9colte * nombre de pi\u00e8ces r\u00e9colt\u00e9es)\/( nombre de pi\u00e8ces battues). Si le type de carr\u00e9 est 1, Rendement \u00e9gal poids net r\u00e9colte*400. Si type carr\u00e9= 2, Rendement poids net r\u00e9colte \/superficie parcelle (non extrapol\u00e9e).\n\nOn calcule une variable rendement par culture et par type de culture. On trie le fichier par province et  strate puis on fait l'agr\u00e9gation sur la province et la strate en calculant des moyennes de rendement.","method_notes":"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."},"analysis_info":{"sampling_error_estimates":"NON DISPONIBLE"}},"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":"agristat@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":"F22","file_name":"F1  RECENSEMENT DES MEMBRES DU MENAGE 2000-2001","description":null,"case_count":"48584","var_count":"10","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F23","file_name":"F2  RECENSEMENT DES PARCELLES DU MENAGE 2000-2001","description":null,"case_count":"39358","var_count":"12","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F24","file_name":"F3  MESURES DE SUPERFICIES ET POSES DE 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