{"doc_desc":{"title":"IND_2014-2019_GGP-P_v01_M_v01_A_OCS","idno":"DDI_IND_2014-2019_GGP-P_v01_M_v01_A_OCS","producers":[{"name":"Office of Chief Statistician","abbreviation":"OCS","affiliation":"Food and Agriculture Organization","role":"Metadata producer"},{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Metadata adapted for World Bank Microdata Library"}],"prod_date":"2023-01-26","version_statement":{"version":"Version 01 (January 2023): This metadata was downloaded from the FAO website (https:\/\/microdata.fao.org\/index.php\/catalog) and it is identical to FAO version (IND_2014-2019_GGP-P_v01_EN_M_A_OCS). The following two metadata fields were edited - Document ID and Survey ID."}},"study_desc":{"title_statement":{"idno":"IND_2014-2019_GGP-P_v01_M_v01_A_OCS","title":"Good Growth Plan 2014-2019","alt_title":"GGP-P 2014-2019"},"authoring_entity":[{"name":"Syngenta","affiliation":""}],"production_statement":{"producers":[{"name":"Kynetec","affiliation":"","role":"Technical assistance"}]},"distribution_statement":{"contact":[{"name":"The Good Growth Plan team","affiliation":"Syngenta","email":"goodgrowthplan.data@syngenta.com","uri":"https:\/\/www.syngenta.com\/en\/sustainability\/good-growth-plan"}]},"series_statement":{"series_name":"Agricultural Survey [ag\/oth]"},"study_info":{"keywords":[{"keyword":"Input efficiency","vocab":"","uri":""},{"keyword":"Crop productivity","vocab":"","uri":""},{"keyword":"Agriculture","vocab":"","uri":""},{"keyword":"The Good Growth Plan","vocab":"","uri":""}],"topics":[{"topic":"Agriculture & Rural Development","vocab":"FAO","uri":""},{"topic":"Environment","vocab":"FAO","uri":""},{"topic":"Agricultural input efficiency","vocab":"FAO","uri":""}],"abstract":"Syngenta is committed to increasing crop productivity and to using limited resources such as land, water and inputs more efficiently. Since 2014, Syngenta has been measuring trends in agricultural input efficiency on a global network of real farms. The Good Growth Plan dataset shows aggregated productivity and resource efficiency indicators by harvest year. The data has been collected from more than 4,000 farms and covers more than 20 different crops in 46 countries. The data (except USA data and for Barley in UK, Germany, Poland, Czech Republic, France and Spain) was collected, consolidated and reported by Kynetec (previously Market Probe), an independent market research agency. It can be used as benchmarks for crop yield and input efficiency.","coll_dates":[{"start":"2014","end":"2019","cycle":""}],"nation":[{"name":"India","abbreviation":"IND"}],"geog_coverage":"National coverage","analysis_unit":"Agricultural holdings","data_kind":"Sample survey data [ssd]","notes":"Data was collected on the usage of inputs, such as crop protection products, chemical fertilizer, seeding rates, labor hours, machinery usage hours, and marketable crop yield on a per hectare basis."},"method":{"data_collection":{"sampling_procedure":"A. Sample design \nFarms are grouped in clusters, which represent a crop grown in an area with homogenous agro- ecological conditions and include comparable types of farms. The sample includes reference and benchmark farms. The reference farms were selected by Syngenta and the benchmark farms were randomly selected by Kynetec within the same cluster.\n\nB. Sample size\nSample sizes for each cluster are determined with the aim to measure statistically significant increases in crop efficiency over time. This is done by Kynetec based on target productivity increases and assumptions regarding the variability of farm metrics in each cluster. The smaller the expected increase, the larger the sample size needed to measure significant differences over time. Variability within clusters is assumed based on public research and expert opinion. In addition, growers are also grouped in clusters as a means of keeping variances under control, as well as distinguishing between growers in terms of crop size, region and technological level. A minimum sample size of 20 interviews per cluster is needed. The minimum number of reference farms is 5 of 20. The optimal number of reference farms is 10 of 20 (balanced sample).\n\nC. Selection procedure\nThe respondents were picked randomly using a \u201cquota based random sampling\u201d procedure. Growers were first randomly selected and then checked if they complied with the quotas for crops, region, farm size etc. To avoid clustering high number of interviews at one sampling point, interviewers were instructed to do a maximum of 5 interviews in one village.\n\nBF Screened from India were selected based on the following criterion:\n(a) Corn growers in Davanagere, Belgaum, Warangal, Kurnool (all = districts)\nLocation: Davanegere, Belgaum, Warangal, Kurnool\t\nAverage adapter of innovation\t\nMechanized tillage operation due labour shortage\t\nKeeps animals for milk\t\nCorn forage is used for animal feeding\t\nKeep  update on commercial market trend\t\nSecondary source of Agriculture income is dairy\t\nRelies on high fertilizer use. (Farmers who use >2 bags of urea and 1 bag of DAP per acre is considered as High fertilizer use growers)\t\nLow use of crop protection products (aim for growers who don't use CPP, if not possible, low use --> UPDATED: maximum of 2 sprays!)\t\nTraditional way of weed control (bullock drawn harrow followed by ridging) \n\n(b) Cotton growers in WC & South \t\nLocation: Yavatmal , Akola, Aurangabad, Jalgaon, Warangal , Kurnool , Karimnagar (= all districts)\t\nCommercial, normally traditional practices but a few always looks for new products. (Use hybrids and are interested in new products which deliver higher yields, with less disease and pests.)\t\nVery particular about quality seed. \t\nHigh expectation of profit from farming. \t\nGood investment on inputs for getting maximum returns. \t\nSome irrigation available but not sufficient, Manual operations. \t\nSocial and seeks knowledge from other fellow farmers and retailers.  Western regions: I take all decisions in terms of cotton production by myself, without consulting fellow farmers, retailers, agronomists or sales representatives (based on answers of RF)\t\nUse generic \/ branded chemistry\t\nDependent on retailers to fund his crop protection chemicals\t\nPrefer Cotton hybrid which give good re flushing\t\nRotation with Bengalgram\t\n\n(c) Rice growers in North & East\nLocation: Karnal, Ludhiana,  Sri Muktsar Sahib, Patiala, Allahabad,Gorakhpur, Barabanki (North & East)\t\nCommercial ,Average  adapter of innovation. \t\nMedium input cost.  (Spend 300 - 500 Rs on fertilizers, About 400-500 Rs on CP products can be considered as moderate or medium input cost.)\t\nMechanized tillage operations due to shortage of labour. \t\nGood use of CP products. (Use products of leading MNCs; new chemistry\/new products etc)\t\nVery particular about quality seeds. \t\nAlways look forward to new technologies that would reduce costs or increase profits. \t\nHigh expectation of profits from farming.  \t\nGood investment on input for getting maximum returns. \t\nNot aware about soil fertility issues. \t\nUse generic chemicals  \t\nDependent on commission agent for his  recurring expenses or retailer to fund his inputs.  = ALL BACKGROUND INFO\t\nMay or may not own a tractor. \t\nHigh involvement of retailer\/ commission agent on his decision of CP inputs\t\nRice wheat rotation.\n\n(d) Rice growers in East\nLocation: Ranchi, Raipur (= west), Burdwan,  Midnapore , Bhagalpur . (= East)\t\nLate adapter of innovation . --> UPDATED: Western region (Raipur): BF is not late adapter of innovation (based on answer of RF)\t\nUsage of hybrid Rice or traditional varieties . (Either Open Pollinated Varieties or certified hybrids is fine. )\t\nModerate usage of CP products . (The spend on CP products is relatively lower i.e. less number of sprays or lower dose of recommended CP products. ) = ALL BACKGROUND INFO\t\nLack of resources ( irrigation, finance ) ,less educated ,traditional (= background info),low financial status .\t\nPrimarily dependent on farm for food and income.  --> RF in Raipur (western region) says to not depend on his farm for income but BF will be recruited based on the original screening criteria above\t\nnot aware about soil  fertility . --> UPDATED: in western region: BF are aware about soil fertility (based on answer of RF) --> UPDATED: Eastern region (Jharkhand & Bihar): BF are aware about soil fertility (based on answer of RF)\t\nDepends on fertilizer for enhancing productivity.\t\nUsage of generic chemistry.\t\nMay or may not own tractor.\t\nHigh involvement  of retailer on his decision of CP inputs . --> RF in Raipur (western region) says to take all decisions himself but BF will be recruited based on the original screening criteria above\t\nMigrated farmers adopt technology . = ALL BACKGROUND INFO\t\nTraditional cultivation practice. (This generally means OPV, little fertilizers and little chemicals.) = ALL BACKGROUND INFO\t\nConversion happening from OP to hybrid seeds in rainfed areas. = ALL BACKGROUND INFO\t\n\n(e) Tomato growers\nlocation: Nasik, Pune, Ahmednagar, Belgaum, Vadodara, Jaipur.\t\nEarly adapter of innovation. \t\nMechanized tillage operations due to labour shortage.  \t\nVery particular about quality Seeds. \t\nAlways look forward to new CP technologies to increase profit \t\nGood crop  knowledge  & Use  advance chemistry ( Farmers who use newly launched, high performance CP products from leading MNCs can be considered as \"Advance\" or new chemistry products.).  --> UPDATED: in Western  regions: only have a little bit of knowledge about this and use only a little bit (based on answers of RF)\t\nUse of SYT tomato seeds & CP products. (only for RF, BF can use SYT products but not necessarily) = ALL BACKGROUND INFO, is asked in screening but nobody is screened out (!)\t\nKeep updates on commercial market trend . \t\nIrrigated farms \t\nHas milch animals.  --> UPDATED: in Western regions, not all should have livestock (based on answer of RF)\t\nBrand loyalty \t\nCommercially very active. \t\nKnows market prices in leading cities. \t\nHas  relationship with market forces. \t\nKeeps in touch with other progressive farmers, good retailers and company professionals.\t\n\n(f) Soybean growers\nlocation: Ratlam, Dhar, Hoshangabad, Washim\t\nFollow traditional  cultivation practices . (Usually the use of farm-saved seeds and varieties, do not use adequate fertilizers, follow traditional interculture practices etc.)\t\nLimited technical knowledge. \t\nMany use farm saved seed. \t\nMechanized tillage and spraying operation. \t\nUse of  tractor for sowing and threshing operations. \t\nLow investment on input in comparison with actual requirement. \t\nFarmers are members of co-operative society in some areas.   = ALL BACKGROUND INFO\t\nSoyabean wheat rotation \t\nSome involvement of retailer\/commission agent on his decision of CP inputs.","coll_mode":["Face-to-face [f2f]"],"research_instrument":"Data collection tool for 2019 covered the following information:\n\n(A) PRE- HARVEST INFORMATION\n\nPART I: Screening \nPART II: Contact Information\nPART III: Farm Characteristics \n  a. Biodiversity conservation\n  b. Soil conservation\n  c. Soil erosion\n  d. Description of growing area\n  e. Training on crop cultivation and safety measures\nPART IV: Farming Practices - Before Harvest \n  a. Planting and fruit development - Field crops \n  b. Planting and fruit development - Tree crops\n  c. Planting and fruit development - Sugarcane\n  d. Planting and fruit development - Cauliflower \n  e. Seed treatment \n\n(B) HARVEST INFORMATION\n\nPART V: Farming Practices - After Harvest \n  a. Fertilizer usage\n  b. Crop protection products\n  c. Harvest timing & quality per crop - Field crops\n  d. Harvest timing & quality per crop - Tree crops\n  e. Harvest timing & quality per crop - Sugarcane \n  f. Harvest timing & quality per crop - Banana\n  g. After harvest\nPART VI - Other inputs - After Harvest \n  a. Input costs\n  b. Abiotic stress\n  c. Irrigation\n\nSee all questionnaires in external materials tab","cleaning_operations":"Data processing:\n\nKynetec uses SPSS (Statistical Package for the Social Sciences) for data entry, cleaning, analysis, and reporting. After collection, the farm data is entered into a local database, reviewed, and quality-checked by the local Kynetec agency. In the case of missing values or inconsistencies, farmers are re-contacted. In some cases, grower data is verified with local experts (e.g. retailers) to ensure data accuracy and validity. After country-level cleaning, the farm-level data is submitted to the global Kynetec headquarters for processing. In the case of missing values or inconsistences, the local Kynetec office was re-contacted to clarify and solve issues. \n\nQuality assurance \nVarious consistency checks and internal controls are implemented throughout the entire data collection and reporting process in order to ensure unbiased, high quality data. \n\n\u2022 Screening: Each grower is screened and selected by Kynetec based on cluster-specific criteria to ensure a comparable group of growers within each cluster. This helps keeping variability low. \n\n\u2022 Evaluation of the questionnaire: The questionnaire aligns with the global objective of the project and is adapted to the local context (e.g. interviewers and growers should understand what is asked). Each year the questionnaire is evaluated based on several criteria, and updated where needed. \n\n\u2022 Briefing of interviewers: Each year, local interviewers - familiar with the local context of farming -are thoroughly briefed to fully comprehend the questionnaire to obtain unbiased, accurate answers from respondents. \n\n\u2022 Cross-validation of the answers: \n    o Kynetec captures all growers' responses through a digital data-entry tool. Various logical and consistency checks are automated in this tool (e.g. total crop size in hectares cannot be larger than farm size) \n    o Kynetec cross validates the answers of the growers in three different ways: \n        1. Within the grower (check if growers respond consistently during the interview) \n        2. Across years (check if growers respond consistently throughout the years) \n        3. Within cluster (compare a grower's responses with those of others in the group) \n   o All the above mentioned inconsistencies are followed up by contacting the growers and asking them to verify their answers. The data is updated after verification. All updates are tracked. \n\n\u2022 Check and discuss evolutions and patterns: Global evolutions are calculated, discussed and reviewed on a monthly basis jointly by Kynetec and Syngenta. \n\n\u2022 Sensitivity analysis: sensitivity analysis is conducted to evaluate the global results in terms of outliers, retention rates and overall statistical robustness. The results of the sensitivity analysis are discussed jointly by Kynetec and Syngenta.\n\n\u2022 It is recommended that users interested in using the administrative level 1 variable in the location dataset use this variable with care and crosscheck it with the postal code variable."},"analysis_info":{"data_appraisal":"Due to the above mentioned checks, irregularities in fertilizer usage data were discovered which had to be corrected: \n\nFor data collection wave 2014, respondents were asked to give a total estimate of the fertilizer NPK-rates that were applied in the fields. From 2015 onwards, the questionnaire was redesigned to be more precise and obtain data by individual fertilizer products. The new method of measuring fertilizer inputs leads to more accurate results, but also makes a year-on-year comparison difficult. After evaluating several solutions to this problems, 2014 fertilizer usage (NPK input) was re-estimated by calculating a weighted average of fertilizer usage in the following years."}},"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":""}],"cit_req":"The Good Growth Plan Progress Data - Productivity 2019","conditions":"Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. 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","tags":[{"tag":"NODOI"}]}