Impact of rural infrastructure on rice productivity in Kano State, Nigeria

Rice is an essential food crop that has transitioned from a luxury to a staple food for the majority of Nigerians. Although rice consumption has increased due to an increase in income, taste, convenience, versatility, low cost, and ease of preparation, local rice production has remained unchanged. R...

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Main Author: Tanko, Yusuf
Format: Thesis
Language:English
English
Published: 2021
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spelling my.uum.etd.104402023-03-29T01:35:32Z https://etd.uum.edu.my/10440/ Impact of rural infrastructure on rice productivity in Kano State, Nigeria Tanko, Yusuf HB Economic Theory Rice is an essential food crop that has transitioned from a luxury to a staple food for the majority of Nigerians. Although rice consumption has increased due to an increase in income, taste, convenience, versatility, low cost, and ease of preparation, local rice production has remained unchanged. Rice scarcity in Nigeria is caused by low productivity as a result of poor road networks, low credit availability, underutilised irrigation facilities, insufficient communication networks and institutional infrastructure. Therefore, the primary goal of this research is to identify the factors that could improve the efficiency of rice farmers in Kano. In particular, the study sought to identify the respondents' socio-demographics, important infrastructure, productivity level, and the factors determining the differences in productivity levels among rice clusters. Data was collected using multistage, purposive, disproportionate, and random sampling techniques in nine of the 17 rice clusters. 740 respondents were selected and their responses analysed using the Cobb-Douglas Stochastic Frontier Model. According to the findings, the most important factor is institutional infrastructure, which has a positively relationship in six clusters and negatively related in two. Meanwhile, production input in the form of improved rice variety is positively related for all the clusters. The road networks infrastructure is negatively related since it reduces rice yield in six clusters. The cluster with the highest level of productivity is Garin Ali and the lowest is Doka Sati. The findings also indicate that the factors determining the difference in productivity level among the rice farmers are education, household size, age, and access to fertilizer. Thus, in Kano, Nigeria, there is a need for improved road networks, quality education, and access to institutional infrastructure, so that household members can efficiently maximise the adoption and use of improved rice variety and fertiliser to increase rice yield. 2021 Thesis NonPeerReviewed text en https://etd.uum.edu.my/10440/1/depositpermission_s901590.pdf text en https://etd.uum.edu.my/10440/2/s901590_01.pdf Tanko, Yusuf (2021) Impact of rural infrastructure on rice productivity in Kano State, Nigeria. Doctoral thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
topic HB Economic Theory
spellingShingle HB Economic Theory
Tanko, Yusuf
Impact of rural infrastructure on rice productivity in Kano State, Nigeria
description Rice is an essential food crop that has transitioned from a luxury to a staple food for the majority of Nigerians. Although rice consumption has increased due to an increase in income, taste, convenience, versatility, low cost, and ease of preparation, local rice production has remained unchanged. Rice scarcity in Nigeria is caused by low productivity as a result of poor road networks, low credit availability, underutilised irrigation facilities, insufficient communication networks and institutional infrastructure. Therefore, the primary goal of this research is to identify the factors that could improve the efficiency of rice farmers in Kano. In particular, the study sought to identify the respondents' socio-demographics, important infrastructure, productivity level, and the factors determining the differences in productivity levels among rice clusters. Data was collected using multistage, purposive, disproportionate, and random sampling techniques in nine of the 17 rice clusters. 740 respondents were selected and their responses analysed using the Cobb-Douglas Stochastic Frontier Model. According to the findings, the most important factor is institutional infrastructure, which has a positively relationship in six clusters and negatively related in two. Meanwhile, production input in the form of improved rice variety is positively related for all the clusters. The road networks infrastructure is negatively related since it reduces rice yield in six clusters. The cluster with the highest level of productivity is Garin Ali and the lowest is Doka Sati. The findings also indicate that the factors determining the difference in productivity level among the rice farmers are education, household size, age, and access to fertilizer. Thus, in Kano, Nigeria, there is a need for improved road networks, quality education, and access to institutional infrastructure, so that household members can efficiently maximise the adoption and use of improved rice variety and fertiliser to increase rice yield.
format Thesis
author Tanko, Yusuf
author_facet Tanko, Yusuf
author_sort Tanko, Yusuf
title Impact of rural infrastructure on rice productivity in Kano State, Nigeria
title_short Impact of rural infrastructure on rice productivity in Kano State, Nigeria
title_full Impact of rural infrastructure on rice productivity in Kano State, Nigeria
title_fullStr Impact of rural infrastructure on rice productivity in Kano State, Nigeria
title_full_unstemmed Impact of rural infrastructure on rice productivity in Kano State, Nigeria
title_sort impact of rural infrastructure on rice productivity in kano state, nigeria
publishDate 2021
url https://etd.uum.edu.my/10440/1/depositpermission_s901590.pdf
https://etd.uum.edu.my/10440/2/s901590_01.pdf
https://etd.uum.edu.my/10440/
_version_ 1761674037223751680
score 13.211869