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\hypersetup{pdftitle={Linking Green Microcredit to Environmental Sustainability: the Challenges Ahead},pdfauthor={Abdelateif H. Ibrahim, Abu-Bakar A. Siddig},pdfsubject={Tropentag 2016: Abstract},pdfkeywords={Dynamic model, environment, green microcredit, livelihood},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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\begin{center}
\Large{\textbf{Linking Green Microcredit to Environmental Sustainability: the Challenges Ahead\footnote{\textbf{Contact Address:} Abdelateif H. Ibrahim, Sudan University of Science and Technology, Dept. of Agricultural Economics, Shambat Campus, Khartoum, Sudan, \mbox{e-mail}: \email{lateif73@hotmail.com}}\\[0.8ex]}}
\normalsize{\textsc{Abdelateif H. Ibrahim$^{1}$, Abu-Bakar A. Siddig$^{2}$}}
\end{center}
\begin{itemize*}
\item[]{\small{\textit{$^{1}$Sudan University of Science and Technology, Dept. of Agricultural Economics, Sudan}}}
\item[]{\small{\textit{$^{2}$Sudan University of Science and Technology, Dept. of Agricultural Extension and Rural Development, Sudan}}}
\end{itemize*}
\index[author]{Ibrahim, Abdelateif H.}
\index[author]{Siddig, Abu-Bakar A.}
\begin{center}
\vspace{1.1cm}
\textbf{Abstract}
\begin{abstract}
\normalsize{
Despite the fact that green microcredit is a new and innovative idea in general, however, the experience of Sudan is seen as a viable to protect and use the natural resources in long run. This study is primarily intended to assess the performance of green microcredit projects that implemented in the three States in Sudan namely, North Kordofan, Khartoum and Gadarif States. Specifically, the paper attempts to compare the performance of green activities among similar clients in various study locations. 



The study was relied on survey that is conducted in 2016, using a core questionnaire. It surveyed 600 farm households, which were selected through a multi"=stage stratified random sampling technique. Subsequently, focus group discussions with the key informants in the village societies were also conducted. The survey was conducted over a period of three months, from December 2015 to February 2016.



 Descriptive statistical analysis and dynamic model were applied to analyse the data.The results of descriptive analysis show that \mbox{90\,\%}, \mbox{85\,\%} and \mbox{80\,\%} of households repayed their loans on time in North Kordofan, Khartoum and Gadarif States respectively, while \mbox{87\,\%}, 78 and \mbox{92\,\%} of households have used their loans in green activities. Suprisely, the results of the dynamic model indicate that, about \mbox{88\,\%}, \mbox{87\,\%} and \mbox{85\,\%} of households decided to invest in crop production, of which \mbox{7\,\%} and \mbox{13\,\%} and \mbox{8\,\%} did so in forest activities respectively. While only \mbox{5\,\%} and \mbox{7\,\%} of households have used their loans for non green activities in North Kordofan and Gadarif States respectively. Heteroscedasticity and multicollinearity were checked to avoid misleading results, using commands in Stata software. The study suggests that green microcredit has positive and visible effects on the livelihoods of households, but for environment effects longer"=term projects with a larger scale are needed.



}

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\noindent \textbf{Keywords:} Dynamic model, environment, green microcredit, livelihood
\index[key]{Dynamic model}
\index[key]{Environment}
\index[key]{Green microcredit}
\index[key]{Livelihood}
\end{document}
