2021_Factors Affecting the Adoption of Agricultural Technology Among Plantain and Banana Growers In Oyo State, Nigeria
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| date | 2021-09-07 |
| format | General Document |
| id | 15609 |
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| originalfilename | FACTORS AFFECTING THE ADOPTION OF AGRICULTURAL TECHNOLOGY AMONG PLANTAIN AND BANANA GROWERS IN OYO STATE, NIGERIA. (MASTER_2021).pdf |
| person | Balogun Daud Ishola |
| recordtype | oai_dc |
| resourceurl | https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15609 |
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| spelling | 15609 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15609 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 General Document Malaysia Library Staff (Top Management) Library Staff (Management) Library Staff (Support) Terengganu Faculty of Bio-resources & Food Industry English application/pdf 1.5 Server storage Scanned document Universiti Sultan Zainal Abidin UniSZA Private Access UNIVERSITI SULTAN ZAINAL ABIDIN SAMBox 2.3.4; modified using iTextSharp™ 5.5.10 ©2000-2016 iText Group NV (AGPL-version) Copyright©PWB2025 2021-09-07 150 FACTORS AFFECTING THE ADOPTION OF AGRICULTURAL TECHNOLOGY AMONG PLANTAIN AND BANANA GROWERS IN OYO STATE, NIGERIA. (MASTER_2021).pdf Balogun Daud Ishola 2021_Factors Affecting the Adoption of Agricultural Technology Among Plantain and Banana Growers In Oyo State, Nigeria The current level of banana and plantain production in Nigeria has been fluctuating and low therefore, they are only being produced for local consumption and trade but not for exportation. Therefore, there is a need to look into factors hindering the adoption of agricultural technology in order to increase their production and ensure food security. This study aims to identify the farming households level of awareness and the extent of technology adoption for improving banana and plantain production. It also aims to determine the factors that are hindering the level of adoption of new banana and plantain variety as production technology among farmers. Lastly, to evaluate the relationship between the adoption of agricultural technology and the socio-economic characteristics of the respondents in the study area. A multistage sampling procedure was set about in selecting the samples. Total of 150 farmers were randomly selected using stratified sampling method. Face to face interview were carried out using structured questionnaires and statistical analysis such as descriptive statistics analysis, confirmatory factor analysis and binary regression analysis were utilized to analyze the data. Descriptive analysis revealed that male farmers were more than the female farmers, majority of the farmers were 50 years and above (48.0%) in the study area while 72% of the farmers were married. Larger number of farmers had no formal education meanwhile 46% of them had 1to 5 household members and 78% of them had 5years and above farming experience. Confirmatory factor analysis also showed that Kaiser-Meyer-Olkin (KMO) for economic factors was 0.631, social factors was 0.730 and institutional factors was 0.786 which indicated that data was adequate for the analysis. Ten items were hypothesized for each economic, social and institutional factors to influence the probability of farmers’ adoption of new agricultural technologies. The cost of adopting technology and farm size of the farmers were significant at 1% and 10% respectively; however, both were positively related to adoption for economic factors. Adoption of agricultural technology was positively influenced mainly by age in adoption decisions, males and females adopt technology equally and involvement of farmers in organization at 5%, 5% and 10% respectively. Meanwhile older farmers are more unyielding to technology than young one was negatively related to adoption at 10% for social factors. Availability of extension officers was significant at 5% and relatively related to the adoption while farmers’ knowledge on new technology was significant at 10% but negatively related to the adoption. The economic, social, and institutional factors are the factors hindering the adoption of agricultural technology. Two items under economic factors were significant and positively related to the technology adoption. Four items were significant under social factors of which three were positive while one was negatively related to adoption. Lastly, two factors were significant under institutional factors one was positive while the other one was negatively related to technology adoption. Therefore, recommended that for successful adoption of new agricultural technology information should be disseminated and guided by the extension officers. Adoption of agricultural technology Dissertations, Academic Sila masukkan subject wajib Dissertations, Academic untuk semua tesis.. Terima kasih Agricultural Technology Agricultural Innovations Technology And Agriculture Thesis |
| spellingShingle | 2021_Factors Affecting the Adoption of Agricultural Technology Among Plantain and Banana Growers In Oyo State, Nigeria |
| state | Terengganu |
| subject | Adoption of agricultural technology Dissertations, Academic |
| summary | The current level of banana and plantain production in Nigeria has been fluctuating and low therefore, they are only being produced for local consumption and trade but not for exportation. Therefore, there is a need to look into factors hindering the adoption of agricultural technology in order to increase their production and ensure food security. This study aims to identify the farming households level of awareness and the extent of technology adoption for improving banana and plantain production. It also aims to determine the factors that are hindering the level of adoption of new banana and plantain variety as production technology among farmers. Lastly, to evaluate the relationship between the adoption of agricultural technology and the socio-economic characteristics of the respondents in the study area. A multistage sampling procedure was set about in selecting the samples. Total of 150 farmers were randomly selected using stratified sampling method. Face to face interview were carried out using structured questionnaires and statistical analysis such as descriptive statistics analysis, confirmatory factor analysis and binary regression analysis were utilized to analyze the data. Descriptive analysis revealed that male farmers were more than the female farmers, majority of the farmers were 50 years and above (48.0%) in the study area while 72% of the farmers were married. Larger number of farmers had no formal education meanwhile 46% of them had 1to 5 household members and 78% of them had 5years and above farming experience. Confirmatory factor analysis also showed that Kaiser-Meyer-Olkin (KMO) for economic factors was 0.631, social factors was 0.730 and institutional factors was 0.786 which indicated that data was adequate for the analysis. Ten items were hypothesized for each economic, social and institutional factors to influence the probability of farmers’ adoption of new agricultural technologies. The cost of adopting technology and farm size of the farmers were significant at 1% and 10% respectively; however, both were positively related to adoption for economic factors. Adoption of agricultural technology was positively influenced mainly by age in adoption decisions, males and females adopt technology equally and involvement of farmers in organization at 5%, 5% and 10% respectively. Meanwhile older farmers are more unyielding to technology than young one was negatively related to adoption at 10% for social factors. Availability of extension officers was significant at 5% and relatively related to the adoption while farmers’ knowledge on new technology was significant at 10% but negatively related to the adoption. The economic, social, and institutional factors are the factors hindering the adoption of agricultural technology. Two items under economic factors were significant and positively related to the technology adoption. Four items were significant under social factors of which three were positive while one was negatively related to adoption. Lastly, two factors were significant under institutional factors one was positive while the other one was negatively related to technology adoption. Therefore, recommended that for successful adoption of new agricultural technology information should be disseminated and guided by the extension officers. |
| title | 2021_Factors Affecting the Adoption of Agricultural Technology Among Plantain and Banana Growers In Oyo State, Nigeria |
| title_full | 2021_Factors Affecting the Adoption of Agricultural Technology Among Plantain and Banana Growers In Oyo State, Nigeria |
| title_fullStr | 2021_Factors Affecting the Adoption of Agricultural Technology Among Plantain and Banana Growers In Oyo State, Nigeria |
| title_full_unstemmed | 2021_Factors Affecting the Adoption of Agricultural Technology Among Plantain and Banana Growers In Oyo State, Nigeria |
| title_short | 2021_Factors Affecting the Adoption of Agricultural Technology Among Plantain and Banana Growers In Oyo State, Nigeria |
| title_sort | 2021_factors affecting the adoption of agricultural technology among plantain and banana growers in oyo state, nigeria |