{"type":"survey","doc_desc":{"title":"NGA-UI-EBSDAF-2014","idno":"DDI_NGA_2014_EBSDAFS_v01_M","producers":[{"name":"University of Ibadan","abbreviation":"UI","affiliation":"Federal Government of Nigeria","role":"Dcumentation of the study"}],"prod_date":"2020-09-22","version_statement":{"version":"Vesion 01 (September 2020) is identical to the DDI found on http:\/\/nada.ui.edu.ng\/index.php\/catalog, except study IDs have been changed to meet WB standards and minor grammatical changes have been made in various fields."}},"study_desc":{"title_statement":{"idno":"NGA_2014_EBSDAFS_v01_M","title":"Economic Burden of Sand Dredging on Artisanal Fishing Survey 2014","sub_title":"First round","alt_title":"EBSDAFS 2014"},"authoring_entity":[{"name":"University of Ibadan","affiliation":""}],"oth_id":[{"name":"Bello Abeeb Adetunji","affiliation":"University of Ibadan","email":"","role":"Collection of data"},{"name":"Abayomi Hiqmat Durowoju","affiliation":"University of Ibadan","email":"","role":"Collection and entering of Data in excel sheet"},{"name":"Olushola O. Oladipupo","affiliation":"University of Ibadan","email":"","role":"Collection and entering of Data in excel sheet"}],"production_statement":{"producers":[{"name":"Fatai Abiola Sowunmi","affiliation":"University of Ibadan","role":""}],"copyright":"(C) 2015, University of Ibadan"},"distribution_statement":{"contact":[{"name":"Dr. Fatai Abiola Sowunmi","affiliation":"University of Ibadan","email":"fa.sowunmi@ui.edu.ng","uri":"www.agric.ui.edu.ng\/FASowunmi"}]},"series_statement":{"series_name":"Agricultural Survey [ag\/oth]","series_info":"This Agricultural Survey was carried out for the first time in year 2014."},"version_statement":{"version":"Vesion 01: Edited anonymous dataset for public distribution.","version_date":"2014-05-28"},"study_info":{"topics":[{"topic":"Land (policy, resource management)","vocab":"","uri":""},{"topic":"Environment","vocab":"","uri":""},{"topic":"Food (production, crisis)","vocab":"","uri":""}],"abstract":"Environmental degradation has continued to pose threat to the sustainability of Africa's natural resources endowment. Increasing demand for sand for construction purposes and the supply gap created by dredging on land has made river\/sea sand dredging a major threat to aquatic habitat and artisanal. The importance of artisanal fishing as a source of animal protein and means of livelihood cannot be over emphasized bearing in mind particularly the high level of unemployment in Nigeria.\n\n It is therefore imperative to determine the economic burden of sand dredging on the artisanal fishing using cross-sectional data collected through structured questionnaires from Ikorodu and Epe local government areas of Lagos state. The survey intends to identify the sand dredging and non-dredging fishing sites. The survey is aimed at comparing fish production per day, distance covered (km), labor-hour utilized per kg of fish caught and cost and returns of fishermen in sand dredging and non-dredging areas of study.","coll_dates":[{"start":"2014-05-02","end":"2014-05-28","cycle":""}],"nation":[{"name":"Nigeria","abbreviation":"NGA"}],"geog_coverage":"Lagos state\nIkorodu Local Government\nEpe Local Government","analysis_unit":"Individual","universe":"Individual artisanal fishing follks","data_kind":"Sample survey data [ssd]","notes":"The scope of the survey includes the following:\nSection A: Socioeconomic characteristics\nSection B: Fishing as an occupation\nSection C: Sand dredging\nSection D: Cost of fishing\nSection E: Returns on artisanal fishing\nSection F: Constraint to artisanal fishing"},"method":{"data_collection":{"data_collectors":[{"name":"Bello Abeeb Adetunji","abbreviation":"","affiliation":"University of Ibadan"},{"name":"Abayomi Hiqmat Durowoju","abbreviation":"","affiliation":"University of Ibadan(Student 300Level then)"},{"name":"Olushola O. Oladipupo","abbreviation":"","affiliation":"University of Ibadan (Student 300Level then)"}],"sampling_procedure":"Data were collected using two-stage sampling technique (purposive and simple random). The two Local Government Areas (LGAs) as well as the nine communities that spread across the two LGAs were purposively selected because they are known for artisanal fishing. \n\nThe nine fishing communities sampled in the two LGAs are Oreta, Majidun, Itoikin, Ofin, Bayeku, Ijede, Ejinrin, Elubo and Iponmi via Agura Gberigbe. These communities are not only known for fishing but also for intensive sand dredging which provides sand for construction firms. In the second stage fifty (50) respondents were randomly selected from each of the nine fishing communities. \n\nA total of 450 questionnaires that addressed the objective of the study were administered while 332 were returned.","sampling_deviation":"No deviation","coll_mode":"Face-to-face [f2f]","research_instrument":"The questionnaire is divided into six (6) sections:\nSection A: Socioeconomic characteristics\nSection B: Fishing as an occupation\nSection C: Sand dredging\nSection D: Cost of fishing\nSection E: Returns on artisanal fishing\nSection F: Constraint to artisanal fishing","coll_situation":"The three enumerators were given abridged training on how to interact with the fishermen, how to ask sensitive questions and mode of dressing and the necessary safety precations. \n\nThe enumerators were told to record only the quantities of fish caught that were weighed in their presence by respondents. The data collection lasted for 26days; from 2nd May, 2014 - 28th May, 2014. \n\nThe questionnaire was structured in English but interpreted in local dialet (Yoruba) to the illiterate respondents only. Each enumerator spent an average of 19 minutes per respondent (4hrs per day, 26days). In addition, data on average price per kilogramme of fish in the major fish market in each of the fishing communities were noted.","act_min":"Bello Abeeb Adetunji played a dual role of supervisor and data collector while Fatai Abiola Sowunmi served as overall supervisor.","weight":"No weight","cleaning_operations":"Manual editing was carried out to remove duplicated questionnaires. Also removed were questionnaires that respondents failed to provide answers to key questions on the quantity of fish caught, the cost items, the status of the location (whether sand dredging is taking placeor not), fishing hours per day among others. Questionnaires that filled with ambiguous data such as falsified quantity of fish caught per day were removed. \n\nMicrosoft Excel was used for data entering. Data editing took place during data entering and structure checking and completeness.","method_notes":"Data entry was manual. Single data entry was done. Data were entered one community after the other.\n\nThe data were checked for editing before they were merged. Two laptops were used for the entry (data). Microsoft excel (office 2010 and 2003) on windows 8 and 7 respectively were used. The data entry took approximately seven days. Each data entry operator extracted data from an averge of 25 questionnaires per day ( 332\/50 = 6.6days)."},"analysis_info":{"response_rate":"The response rate was approximately 74% \n\n(A total of 450 questionnaires that addressed the objective of the study were administered while 332 were returned).","sampling_error_estimates":"No sampling error","data_appraisal":"No other form of data appraisal"}},"data_access":{"dataset_availability":{"access_place":"University of Ibadan, Nigeria","access_place_uri":"http:\/\/nada.ui.edu.ng\/index.php\/catalog\/1"},"dataset_use":{"contact":[{"name":"Dr. Fatai Abiola Sowunmi","affiliation":"University of Ibadan","email":"fa.sowunmi@ui.edu.ng","uri":"www.agric.ui.edu.ng\/FASowunmi"}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\n\nUniversity of Ibadan. 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