{"doc_desc":{"title":"ECU_2020_ESPAC_v01_EN_M_v01_A_OCS","idno":"DDI_ECU_2020_ESPAC_v01_EN_M_v01_A_OCS","producers":[{"name":"Instituto Nacional de Estad\u00edsticas y Censos","abbreviation":"INEC","affiliation":"Presidencia de la Republica del Ecuador","role":"Metadata producer"},{"name":"Diego Orbe","abbreviation":"DO","affiliation":"Instituto Nacional de Estad\u00edstica y Censos (INEC)","role":"Metadata producer"},{"name":"Jenny Cushic\u00f3ndor","abbreviation":"JC","affiliation":"Instituto Nacional de Estad\u00edstica y Censos (INEC)","role":"Metadata revision"},{"name":"David Salazar","abbreviation":"DS","affiliation":"Instituto Nacional de Estad\u00edstica y Censos (INEC)","role":"Metadata approval"},{"name":"Office of Chief Statistician","abbreviation":"OCS","affiliation":"Food and Agriculture Organization","role":"Metadata adapted for FAM"}],"version_statement":{"version":"ECU_2020_ESPAC_v01_EN_M_v01_A_OCS_v01"}},"study_desc":{"title_statement":{"idno":"ECU_2020_ESPAC_v01_EN_M_v01_A_OCS","title":"Annual Agricultural Area and Production Survey 2020","alt_title":"ESPAC, 2020"},"authoring_entity":[{"name":"Instituto Nacional de Estad\u00edstica y Censos (INEC)","affiliation":"Secretaria Nacional de Planificaci\u00f3n y Desarrollo (SENPLADES)"},{"name":"Direcci\u00f3n Producci\u00f3n de Estad\u00edstica Agropecuarias y Ambientales (INEC)","affiliation":"Instituto Nacional de Estad\u00edstica y Censos (INEC)"}],"production_statement":{"funding_agencies":[{"name":"Ministerio de Finanzas","abbreviation":"MF","role":"Financiamiento de toda la operaci\u00f3n estad\u00edstica"}]},"series_statement":{"series_name":"Agricultural Survey [ag\/oth]"},"study_info":{"abstract":"The National Institute of Statistics and Censuses (INEC), through the Directorate of Economic Statistics and the Agricultural Statistics Unit, executes the Survey of Area and Continuous Agricultural Production ESPAC-2020.\n\nThe study is carried out nationwide, in all provinces, with the exception of Galapagos and undefined areas such as Las Golondrinas, Manga del Cura and El Piedrero. The method known as the Multiple Sampling Frame is applied, which is the combination of the Area Sampling Frame and the List Sampling Frame; the unit of observation is the terrain.\n\nThe main objective is to provide information on the agricultural sector, referring to areas planted and\/or planted, harvested, to the production and sales of Permanent and Temporary crops, as well as the existence and movement of Cattle, Pigs, Sheep, Other Species. , existence of Field Birds, and Poultry Farms and the Employment of Manpower.\n\nWhich allows, among other aspects, to have the information to formulate crop plans and diversification of agricultural production, formulation of price standards and more incentives to improve agricultural production, establish a system of equitable distribution of production in the different areas of the country, contribute to sectoral economic analysis, the preparation and implementation of import and export policies for agricultural products so that the country, through the national government, can promote policies that strengthen the agricultural sector.","coll_dates":[{"start":"2020-05-20","end":"2020-12-04","cycle":""}],"nation":[{"name":"Ecuador","abbreviation":"ECU"}],"geog_coverage":"The 23 provinces of continental Ecuador at the rural level, including undefined areas, does not cover the Galapagos Island Region.","analysis_unit":"Agricultural holdings","universe":"All the properties that are within the selected Sampling Segment.\n\nThe survey covers the rural area of Ecuador continental , excluding populated centers, the province of Galapagos and undefined areas.","data_kind":"Sample survey data [ssd]","notes":"Among the topics covered by the Surface and Continuous Agricultural Production survey are:\n\n- Land use, on the day of the interview.\n\n- Area planted or sown, harvested (alone and associated), production and sales of agricultural products, corresponding to the year of the investigation.\n\n- Existence of cattle, on the day of the interview.\n\n- Movement of cattle, from January 1 to the day of the interview.\n\n- Production and destination of the milk, on the day before the interview.\n\n- Existence of pigs and sheep, on the day of the interview.\n\n- Sales of pigs and sheep, from July 1 to September 30.\n\n- Existence of livestock: donkey, horse, mule and goat, on the day of the interview.\n\n- Existence of field birds and poultry farms, on the day of the interview.\n\n- Sales and self-consumption of free-range birds and poultry farms, from July 1 to September 30.\n\n- Production, self-consumption and sales of chicken eggs, in the last 7 days prior to the interview.\n\n- Employment in the Agricultural Production Unit, in the week prior to the day of the interview."},"method":{"data_collection":{"sampling_procedure":"The type of sampling corresponds to a Stratified Probabilistic Sampling by conglomerates and by replicas, with random selection.\n\nIn each domain (province) a certain number of segments is calculated in relation to a specific sampling rate per stratum. In order to improve estimation efficiency, these sampling rates were established based on the number of frame segments, that is, if the number of UPM of the Area Framework is higher, the sampling rate will be lower, and vice versa. \n\nIt should be noted that, in cases where the sample is less than 10, it must be adjusted by the sample minimums3, so that the sampling errors associated with the estimates can be calculated.","coll_mode":["Face-to-face paper [f2f]"],"weight":"The objective of a sample survey is to make inferences about the population from the information contained in the sample. In this sense, expansion factors are used to take the information from the sample to population levels. It is defined as the inverse of the probability of including a segment in a given Selection Zone. For more information, refer to the related documents in the external repository."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO","required":"yes","form_no":"","uri":""}],"conditions":"Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:\n- The micro dataset will only be used for statistical and\/or research purposes; \n- Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects; \n- The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO;\n- The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses"}}},"schematype":"survey"}