EVALUATION OF GOVERNANCE STRUCTURE IN SOYBEAN VALUE CHAIN IN NIGER STATE OF NIGERIA
This research was carried out to evaluate the presence and nature of governance structure in soybean value chain in Niger state of Nigeria. Multistage sampling procedure was used for this study. Firstly, purposive sampling was used in the selection of six Local Government Areas (LGAs) out of the 25...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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iVolga Press
2021-08-01
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| Series: | Russian Journal of Agricultural and Socio-Economic Sciences |
| Subjects: |
| _version_ | 1797717660893446144 |
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| author | Lukman B.O. Bwala M.A. Baba K C. Dauda S.N. Yunusa J.B. |
| author_facet | Lukman B.O. Bwala M.A. Baba K C. Dauda S.N. Yunusa J.B. |
| author_sort | Lukman B.O. |
| collection | DOAJ |
| description | This research was carried out to evaluate the presence and nature of governance structure in soybean value chain in Niger state of Nigeria. Multistage sampling procedure was used for this study. Firstly, purposive sampling was used in the selection of six Local Government Areas (LGAs) out of the 25 LGAs in Niger State. The LGAs are Lapai, Paiko, Mariga, Mashegu, Mokwa and Shiroro. The second stage involved selection of three communities randomly from each Local Government selected for the study. This brings about a total of 18 communities for the study. The communities are; Samunaka, Takalafia, Zolegi, Beri, Kampani Bobi, Mariga, Kaboji, Baban Rami, Karmi Rami, Muregi, Tatabo, Nwogi, Paiko, Pago, Dagonagbe, Gunu, Kope and Nakomi. The third stage involved the determination of sample size from the sample frame using the formula cited by Robert V., Krejcie and Daryle W. Morgan (1963) stated as S= X2NP(1-P) ÷ d2(N-1) + X2P(1-P). Primary data was obtained through the use of structured questionnaires. The study used descriptive statistics and Tobit regression model for relevant analyses. The results show the presence of market governance. The production and processing segments of the nods analysed are found to be porous with minimal entry and exit conditions. |
| first_indexed | 2024-03-12T08:39:36Z |
| format | Article |
| id | doaj.art-2a5713a51073400db0f1f4235562cb44 |
| institution | Directory Open Access Journal |
| issn | 2226-1184 |
| language | English |
| last_indexed | 2024-03-12T08:39:36Z |
| publishDate | 2021-08-01 |
| publisher | iVolga Press |
| record_format | Article |
| series | Russian Journal of Agricultural and Socio-Economic Sciences |
| spelling | doaj.art-2a5713a51073400db0f1f4235562cb442023-09-02T16:54:01ZengiVolga PressRussian Journal of Agricultural and Socio-Economic Sciences2226-11842021-08-01116817818310.18551/rjoas.2021-08.21EVALUATION OF GOVERNANCE STRUCTURE IN SOYBEAN VALUE CHAIN IN NIGER STATE OF NIGERIALukman B.O.0Bwala M.A.1Baba K C.2Dauda S.N.3Yunusa J.B.4National Cereals Research Institute BadeggiDepartment of Agricultural Economics and Extension Services, Faculty of Agriculture, Ibrahim Badamasi Babangida UniversityDepartment of Agricultural Economics and Extension Services, Faculty of Agriculture, Ibrahim Badamasi Babangida UniversityNational Cereals Research Institute BadeggiNational Cereals Research Institute BadeggiThis research was carried out to evaluate the presence and nature of governance structure in soybean value chain in Niger state of Nigeria. Multistage sampling procedure was used for this study. Firstly, purposive sampling was used in the selection of six Local Government Areas (LGAs) out of the 25 LGAs in Niger State. The LGAs are Lapai, Paiko, Mariga, Mashegu, Mokwa and Shiroro. The second stage involved selection of three communities randomly from each Local Government selected for the study. This brings about a total of 18 communities for the study. The communities are; Samunaka, Takalafia, Zolegi, Beri, Kampani Bobi, Mariga, Kaboji, Baban Rami, Karmi Rami, Muregi, Tatabo, Nwogi, Paiko, Pago, Dagonagbe, Gunu, Kope and Nakomi. The third stage involved the determination of sample size from the sample frame using the formula cited by Robert V., Krejcie and Daryle W. Morgan (1963) stated as S= X2NP(1-P) ÷ d2(N-1) + X2P(1-P). Primary data was obtained through the use of structured questionnaires. The study used descriptive statistics and Tobit regression model for relevant analyses. The results show the presence of market governance. The production and processing segments of the nods analysed are found to be porous with minimal entry and exit conditions.soya beangovernancepublic policyproduction |
| spellingShingle | Lukman B.O. Bwala M.A. Baba K C. Dauda S.N. Yunusa J.B. EVALUATION OF GOVERNANCE STRUCTURE IN SOYBEAN VALUE CHAIN IN NIGER STATE OF NIGERIA Russian Journal of Agricultural and Socio-Economic Sciences soya bean governance public policy production |
| title | EVALUATION OF GOVERNANCE STRUCTURE IN SOYBEAN VALUE CHAIN IN NIGER STATE OF NIGERIA |
| title_full | EVALUATION OF GOVERNANCE STRUCTURE IN SOYBEAN VALUE CHAIN IN NIGER STATE OF NIGERIA |
| title_fullStr | EVALUATION OF GOVERNANCE STRUCTURE IN SOYBEAN VALUE CHAIN IN NIGER STATE OF NIGERIA |
| title_full_unstemmed | EVALUATION OF GOVERNANCE STRUCTURE IN SOYBEAN VALUE CHAIN IN NIGER STATE OF NIGERIA |
| title_short | EVALUATION OF GOVERNANCE STRUCTURE IN SOYBEAN VALUE CHAIN IN NIGER STATE OF NIGERIA |
| title_sort | evaluation of governance structure in soybean value chain in niger state of nigeria |
| topic | soya bean governance public policy production |
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