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\hypersetup{pdftitle={Impact of Adoption of Cassava Production and Processing Technologies on Farming Households in Nigeria},pdfauthor={Bamikole Ayedun, Tahirou Abdoulaye, Adebola Okuneye, Victor Manyong},pdfsubject={Tropentag 2016: Abstract},pdfkeywords={Adoption, cassava production/processing, FGT, food security, impact, LATE, Logit model, poverty, recursive regression model},pdfpagemode=None,colorlinks=true}
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\parbox[b]{13.4cm}{\centering \large{\textbf{Tropentag, September 18-21, 2016, Vienna, Austria}}\\[1ex] \Large{``Solidarity in a competing world ---\\fair use of resources''\\[2ex]}}
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\Large{\textbf{Impact of Adoption of Cassava Production and Processing Technologies on Farming Households in Nigeria\footnote{\textbf{Contact Address:} Bamikole Ayedun, International Institute of Tropical Agriculture (IITA), Socioeconomic Unit, Ibadan, Nigeria, \mbox{e-mail}: \email{b.ayedun@cgiar.org}}\\[0.8ex]}}
\normalsize{\textsc{Bamikole Ayedun$^{1}$, Tahirou Abdoulaye$^{2}$, Adebola Okuneye$^{3}$, Victor Manyong$^{4}$}}
\end{center}
\begin{itemize*}
\item[]{\small{\textit{$^{1}$International Institute of Tropical Agriculture (IITA), Socioeconomic Unit, Nigeria}}}
\item[]{\small{\textit{$^{2}$International Institute of Tropical Agriculture (IITA), Socioeconomic Unit, Nigeria}}}
\item[]{\small{\textit{$^{3}$Federal University of Agriculture, Abeokuta, Nigeria, Agricultural Economics \& Farm Management, }}}
\item[]{\small{\textit{$^{4}$International Institute of Tropical Agriculture (IITA), Tanzania}}}
\end{itemize*}
\index[author]{Ayedun, Bamikole}
\index[author]{Abdoulaye, Tahirou}
\index[author]{Okuneye, Adebola}
\index[author]{Manyong, Victor}
\begin{center}
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\textbf{Abstract}
\begin{abstract}
\normalsize{
Cassava is a major food crop in sub-Saharan Africa. Increases in its productivity and processing can be a driver for higher food security. The study assessed the effect of adopting production and processing technologies of cassava in Nigeria. Data were obtained using structured questionnaires from 466 farming households from southern geographical zones of Nigeria using a multistage sampling technique. Data were analysed using Logit model, Local Average Treatment Effect (LATE), FGT poverty index, and Recursive regression models. Results showed that under production technologies, except for `improved cassava stem and NPK fertiliser' with awareness rates that were greater than \mbox{60\,\%}, there were awareness gaps on others. Under processing technologies, except for grater, presser, and fryer machines that had awareness level greater than \mbox{50\,\%}, awareness rates for other technologies were very poor. In all production technologies disseminated, awareness and adoption of improved cassava cuttings both in intervention villages (IVs) and non"=intervention villages (NIVs) were the highest. The IVs had \mbox{93\,\%} awareness rate and \mbox{72\,\%} adoption rate, while NIVs had \mbox{81\,\%} awareness rate and \mbox{64\,\%} adoption rate. The processing machines mainly adopted by farm families were grater (\mbox{85\,\%}), pressers (\mbox{67\,\%}), fryers (\mbox{64\,\%}) and sifters (\mbox{31\,\%}). Poverty status estimation revealed that \mbox{57.4\,\%} of farm households from IVs and \mbox{46.6\,\%} of farm households from NIVs were above the poverty line. The Logit model revealed that being from IV ($p < 0.05$), the use of a grater machine for processing by households ($p < 0.01$), non"=farm income ($p < 0.05$), social contribution ($p < 0.05$) from association membership, and level of education ($p < 0.01$) among others had poverty reducing effects among the cassava farm households. Recursive regression analysis indicated that adoption of improved cassava varieties had influence ($p < 0.05$) on adoption of the grater machine with a marginal effect of 2.8. The LATE estimates indicated that adoption of improved cassava varieties significantly ($p < 0.01$) increased per capita expenditure by N39,919 per year and yield of cassava by \unitfrac[4.57]{tonnes}{ha}. The study concluded that the technologies adopted impacted positively on cassava yield, farmers' expenditure and reduced the poverty in the study area.}

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\end{abstract}
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\noindent \textbf{Keywords:} Adoption, cassava production/processing, FGT, food security, impact, LATE, Logit model, poverty, recursive regression model
\index[key]{Adoption}
\index[key]{Cassava production/processing}
\index[key]{FGT}
\index[key]{Food!security}
\index[key]{Impact}
\index[key]{LATE}
\index[key]{Logit model}
\index[key]{Poverty}
\index[key]{Recursive regression model}
\end{document}
