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\hypersetup{pdftitle={Effect of Community"=Based Natural Resources Management Programme on Poverty Status of Fishing Households in the Riverine Areas of Ondo State, Nigeria },pdfauthor={Oluwakemi Oduntan},pdfsubject={Tropentag 2020: Abstract},pdfkeywords={Community-based, fishing households, natural resources management programme, Nigeria, poverty status, riverine areas},pdfpagemode=None,colorlinks=true}
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\parbox[b]{13.4cm}{\centering \large{\textbf{Tropentag, September 9-11, 2020, virtual conference}}\\[1ex] \Large{``Food and nutrition security and its resilience\\ to global crises''\\[2ex]}}
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\Large{\textbf{Effect of Community"=Based Natural Resources Management Programme on Poverty Status of Fishing Households in the Riverine Areas of Ondo State, Nigeria \footnote{\textbf{Contact Address:} Oluwakemi Oduntan, The Federal University of Technology, Dept. of Agricultural and Resource Economics, PMB 704, Akure, Nigeria, \mbox{e-mail}: \email{ooduntan@futa.edu.ng}}\\[0.8ex]}}
\normalsize{\textsc{Oluwakemi Oduntan}}
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\begin{itemize*}
\item[]{\small{\textit{The Federal University of Technology, Dept. of Agricultural and Resource Economics, Nigeria}}}
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\index[author]{Oduntan, Oluwakemi}
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\textbf{Abstract}
\begin{abstract}
\normalsize{
With 2030 just ten years away, it seems unlikely that Nigeria meets the Sustainable Development Goal (SDG) targets for eradication of extreme poverty and hunger. Despite the huge fisheries resources Nigeria is endowed with, low yield, deplorable state of the fisheries resources in the country due to human activities, poor data statistics for proper planning and management especially in the face of climate change effects pervade the fisheries sector of Nigeria. The article therefore examines the effect of community"=based natural resources management programme on poverty status of fishing households in the riverine areas of Ondo State, Nigeria. One hundred and twenty respondents were selected using a multi"=stage sampling procedure. Data were collected from the respondents and analysed using a combination of descriptive statistics, Foster-Greer-Thorbecke (FGT) poverty measure, and probit regression model. Results of the descriptive statistics revealed that majority of the fish farmers are females and are in their economically active age, with an average household size of 6 and 7 for participants and non"=participants respectively. FGT results showed that \mbox{35\,\%} of the participants and \mbox{47\,\%} of the non"=participants respectively fell below the poverty line. Participants needed \mbox{10\,\%} of the poverty line to get out of poverty while the non"=participants needed \mbox{15\,\%} of the poverty line to get out of poverty. Poverty was a bit more severe among non"=participants (\mbox{7\,\%}) than the fish farmers who participated in the programme (\mbox{4\,\%}) in the study area. The results of probit regression model revealed that household size, years of education, share of farm income, access to credit and participation in the community"=based natural resources programme are the determinants of poverty among the respondents. The study recommended that Government should encourage the non"=participants to participate in the community"=based natural resource management programme and also introduce policies that facilitate increased level of education, increased access to credit facilities are essential to help reducing poverty among fishing households in the study area.}

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\noindent \textbf{Keywords:} Community"=based, fishing households, natural resources management programme, Nigeria, poverty status, riverine areas
\index[key]{Community"=based}
\index[key]{Fishing households}
\index[key]{Natural!resources management programme}
\index[key]{Nigeria}
\index[key]{Poverty status}
\index[key]{Riverine areas}
\end{document}
