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\title{The Factors Affecting the Net Income of the Households for Mono Rice Production, Rice-Upland Crop and Rice-Aquaculture in the Mekong Delta of Vietnam}
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\begin{document}

             \author[1]{Nguyen Quang  Tuyen}

             \affil[1]{  Cantho University}

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\date{\small \em Received: 12 December 2016 Accepted: 2 January 2017 Published: 15 January 2017}

\maketitle


\begin{abstract}
        


The study on the factors affecting the net income of the households for mono rice production, rice-upland crop and rice-aquaculture in the Mekong Delta was conducted in July, 2013 which aimed to (1) Assess the main resources of the households; (2) Analyze factors impacting the net income and (3) Propose solutions for improving the net income for rice production, rice-upland crop and rice-aquaculture of households in the Mekong Delta. The analysis method was based on the descriptive statistics, and the multiple linear regressions. The study results showed that: (1) The educational levels of the household heads were low; (2) The farmland was large with 1.95 hectare per household; (3) There are three groups of household having the main net income from agricultural production, and the second net income from the non-agricultural activity; (4) The net income of the mono rice production households was affected by the participation association of the household heads and the farmland area; (5) the net income of the rice-upland crop households was impacted by the family man-days and the production investment in materials; and (6) the net income of the riceaquacultural households was effected by the educationallevels, the family man-days and the farmland area. Based onthe study results, some solutions for improvement of the household net income were proposed

\end{abstract}


\keywords{household, mekong delta, mono rice production, net income, rice - aquaculture, rice â??"upland crop.}

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\let\tabcellsep& 	 	 		 
\section[{Introduction}]{Introduction}\par
he land of the Mekong Delta occupied 4.000.000 hectares in which the farmland accounted for 65\%. The Mekong Delta has contributed at 56\% of rice production, 70\% of fruit production and 57\% of aquaculture production of whole country (General Statistics Organization, 2012). However, there are several difficulties of the limitation of human resource for the human development in the Mekong Delta (Duong Ngoc Thanh and Pham Duc Thuan, 2016).\par
In recent years, to adapt with the change of the natural, economical and social conditions, the households have used suitably resources, improved production capacities and changed the suitable farming systems such as the systems of mono rice production, riceupland crop and riceaquaculture which have contributed in improving the income and the life of households. However, the social life of the households has slowly changed, the natural resources have negatively changed which have influenced the environmental ecology systems in the process of the economical development of the region (Le Quang Tri and Vo Thi Guong, 2006).\par
Therefore, the theme titled: "The factors affecting the net income of the households for mono rice production, rice-upland crop and rice-aquaculture in the Mekong Delta of Vietnam" was conducted to find out the solutions for improving the net income of the households. 
\section[{II.}]{II.} 
\section[{Objectives of Study}]{Objectives of Study}\par
There are three specific objectives of study such as (1) Analyzing the main resources of the households; (2) Analyzing the factors affecting the net income of the households; and (3) Recommending the solutions for improving the net income of the households for mono rice production, rice-upland crop and rice-aquaculture in the study site.  
\section[{III.}]{III.} 
\section[{Methodology of Study}]{Methodology of Study} 
\section[{b) Methods of data collection and analysis}]{b) Methods of data collection and analysis}\par
The secondary data were collected beside the primary data, which were interviewed from 220 households through the structured questionnaires, related to the objectives of study in 2013.\par
Descriptive statistics and the multivariate linear regression were used in the study. 
\section[{IV.}]{IV.} 
\section[{Results of Study}]{Results of Study}\par
a) The analysis of the main resource of the farm households i. Educational level\par
The educational level of the householders obtained the primary and the secondary school which was low in the three production groups in 2013. ii. Farm land\par
In 2013, the farm land was over 2 hectares per household obtained at the highest proportion while the farm land under 1 hectare per household ranged the lowest one. For the Rice-Aquaculture production group and Rice-Upland crop production group with the 1-2 hectare farm land per household accounted for the highest proportion while the Mono Rice production group with the farm land was over 2 hectares per household occupied at the highest proportion. The average farm land per household in the three production groups was quite big; it was in round of 2 hectares in 2013.\par
Farm land was considered as the basic resource for the livelihood activities of the farm households. Moreover, the farm land was also a property of farm households to access the credits from the banks for the production works or their life. iii. 
\section[{Net income of the farm households}]{Net income of the farm households}\par
The main net income (NI) of the farm households was from doing farming, and from non-farm activities. Livestock's NI was an additional part in the farm households' livelihood. Net income total per Mono Rice crop household obtained the highest in the three production household groups, then, NI total per Rice-Aquaculture household reached the second range while NI total per Rice-Upland crop household achieved the lowest. Net income total per Mono Rice crop household was higher than those of Rice-Aquaculture household and Rice-Upland crop household because NI of doing farming and livestock per Mono Rice crop household contributed more than those of Rice-Aquaculture household and Rice-Upland crop household in 2013. In the Rice-Upland crop production group, the family labors correlated positively with the NI of the household. It showed that the NI of the household increased 0.1 million VND when the increment of the family labor was added by one man-day. Investment for material inputs was also correlated with the NI of the household. It illustrated that the NI of the household increased 0.35 million VND when the household increased one million VND for the material inputs in 2013.\par
In Rice-Aquaculture production group, the educational level of the householder correlated well with the NI of the household. It showed that the NI of the household increased 10.37 millions VND when the education of the householder raised one level in 2013. It could be explained that the householder could access with the advanced techniques in the process of farming to produce the good products when he or she reached a certain level of education. Besides, the NI of the household increased 0.09 million VND when the increment of the family labor was supplied by one manday and the NI of the household also increased 27.99 millions VND when the farm land area was enlarged by one hectare in 2013. Source: Household interviewed in 2013 b) Analysis of the factors affecting the net income of the households for mono rice production, rice-upland crop and rice-aquaculture production group For the Mono Rice crop production group, the NI of the household participating in the local associations correlated positively. For instance, the NI of the household who participated in the local associations increased 33.5 millions VND. Moreover, the farmland area was also correlated with the NI of the household. It showed that the NI of the household increased 40.4 millions VND when the farmland was enlarged by one hectare which could be interpreted that the total of production cost reduced from discounting prices of the material inputs when the household bought with a large amount in 2013. Therefore, the more farm land area got more NI.\par
c) The solutions for improvement of the household net income\par
Based on analyzing the main resources of the households and the factors affecting the net income of the households, the solutions for improving the NI of three household groups including the mono rice production, rice-upland crop and rice-aquaculture production groups were recommended such as:\par
The mono rice production households should participate in the local associations and enlarge the farm land area to increase their net incomes.\par
The rice-upland crop production households should optimize using their family labors and invest the material inputs in the production to improve their net incomes.\par
In the rice-aquaculture production households, the educational level of the householders and the family members should be strengthened, the family labors should be used appropriately and the farm land area should be enlarged enough to improve the net incomes of the households.\par
v. 
\section[{Conclusion}]{Conclusion}\par
The educational and training level of the householders were still low and the farmland area of the households was quite high in three production household groups, in which the farmland per riceaquaculture production household ranged from one to two hectares occupying the highest rate, while the farmland per mono rice production household occupied over two hectares accounting for the highest rate. The main NI of three production household groups was from the agriculture, then, from the non farm activities. The mono rice production households reached the highest in the total of the net income.\par
The householders participating in the local associations and the large scale of the farmland did the increment of the net income in the mono rice production households.The man-day number of the family labors and the investment of the material inputs in the production increased the NI in the rice-upland crop production households. The educational level, the participation of the family labors in the production and the farmland scale helped increasing the NI in the riceaquaculture production households. \begin{figure}[htbp]
\noindent\textbf{1} \par 
\begin{longtable}{P{0.21824324324324323\textwidth}P{0.10146396396396397\textwidth}P{0.038288288288288286\textwidth}P{0.0938063063063063\textwidth}P{0.04977477477477477\textwidth}P{0.16463963963963962\textwidth}P{0.0536036036036036\textwidth}P{0.07657657657657657\textwidth}P{0.0536036036036036\textwidth}}
Education of householders\tabcellsep \multicolumn{2}{l}{Rice-Upland crops householders Number of \%}\tabcellsep Mono Rice crops householders Number of\tabcellsep \%\tabcellsep Rice-Aquaculture householders Number of\tabcellsep \%\tabcellsep Total householders Number of\tabcellsep \%\\
Illiterate\tabcellsep 0\tabcellsep 0\tabcellsep 2\tabcellsep 2,4\tabcellsep 4\tabcellsep 4,8\tabcellsep 6\tabcellsep 2,7\\
Primary school\tabcellsep 16\tabcellsep 30,2\tabcellsep 36\tabcellsep 42,3\tabcellsep 29\tabcellsep 35,4\tabcellsep 81\tabcellsep 36,8\\
Secondary school\tabcellsep 29\tabcellsep 54,7\tabcellsep 34\tabcellsep 40,0\tabcellsep 29\tabcellsep 35,4\tabcellsep 92\tabcellsep 41,8\\
High School\tabcellsep 8\tabcellsep 15,1\tabcellsep 12\tabcellsep 14,1\tabcellsep 18\tabcellsep 22,0\tabcellsep 38\tabcellsep 17,3\\
College\tabcellsep 0\tabcellsep 0\tabcellsep 0\tabcellsep 0\tabcellsep 1\tabcellsep 1,2\tabcellsep 1\tabcellsep 0,5\\
University\tabcellsep 0\tabcellsep 0\tabcellsep 1\tabcellsep 1,2\tabcellsep 1\tabcellsep 1,2\tabcellsep 2\tabcellsep 0,9\\
Total householders of\tabcellsep 53\tabcellsep 100,0\tabcellsep 85\tabcellsep 100,0\tabcellsep 82\tabcellsep 100,0\tabcellsep 220\tabcellsep 100,0\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \multicolumn{4}{l}{Source:Household interviewed in 2013}\end{longtable} \par
 
\caption{\label{tab_0}Table 1 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{2} \par 
\begin{longtable}{P{0.15703812316715543\textwidth}P{0.11466275659824046\textwidth}P{0.04736070381231671\textwidth}P{0.09721407624633431\textwidth}P{0.05733137829912023\textwidth}P{0.1994134897360704\textwidth}P{0.04736070381231671\textwidth}P{0.07727272727272727\textwidth}P{0.052346041055718474\textwidth}}
Farm land\tabcellsep \multicolumn{2}{l}{Rice-Upland crops No. of}\tabcellsep \multicolumn{2}{l}{Mono Rice crops No. of}\tabcellsep \multicolumn{2}{l}{Rice-Aquaculture No. of}\tabcellsep Total No.\tabcellsep of\\
\tabcellsep households\tabcellsep \%\tabcellsep househols\tabcellsep \%\tabcellsep househols\tabcellsep \%\tabcellsep househols\tabcellsep \%\\
<1 ha\tabcellsep 15\tabcellsep 28,3\tabcellsep 23\tabcellsep 27,1\tabcellsep 19\tabcellsep 23,2\tabcellsep 57\tabcellsep 25,9\\
1-2 ha\tabcellsep 20\tabcellsep 37,7\tabcellsep 22\tabcellsep 25,9\tabcellsep 38\tabcellsep 46,3\tabcellsep 78\tabcellsep 35,5\\
>2 ha\tabcellsep 18\tabcellsep 34,0\tabcellsep 40\tabcellsep 47,1\tabcellsep 25\tabcellsep 30,5\tabcellsep 85\tabcellsep 38,6\\
Household\tabcellsep 53\tabcellsep 100,0\tabcellsep 85\tabcellsep 100.0\tabcellsep 82\tabcellsep 100,0\tabcellsep \tabcellsep 100,\\
total\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep 220\tabcellsep 0\\
Average of landarea (ha)\tabcellsep 1,68\tabcellsep \tabcellsep \tabcellsep 2,25\tabcellsep 1,93\tabcellsep \tabcellsep \multicolumn{2}{l}{1,95}\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \multicolumn{4}{l}{Source:Household interviewed in 2013}\end{longtable} \par
 
\caption{\label{tab_1}Table 2 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{3} \par 
\begin{longtable}{P{0.11590909090909089\textwidth}P{0.13217703349282298\textwidth}P{0.04473684210526315\textwidth}P{0.13014354066985645\textwidth}P{0.04473684210526315\textwidth}P{0.13014354066985645\textwidth}P{0.11794258373205742\textwidth}P{0.0894736842105263\textwidth}P{0.04473684210526315\textwidth}}
Source of net income (NI)\tabcellsep \multicolumn{2}{l}{Rice-Upland crops household Amount}\tabcellsep \multicolumn{2}{l}{Mono Rice crops household Amount}\tabcellsep \multicolumn{2}{l}{Rice-Aquaculture household Amount}\tabcellsep Total Amount\tabcellsep \\
\tabcellsep (MillionVND)\tabcellsep \%\tabcellsep (MillionVND)\tabcellsep \%\tabcellsep (MillionVND)\tabcellsep \%\tabcellsep (MillionVND))\tabcellsep \%\\
Farming\tabcellsep 58,64\tabcellsep 67,47\tabcellsep 88,36\tabcellsep 77,09\tabcellsep 61,46\tabcellsep 63,27\tabcellsep 69,49\tabcellsep 69.87\\
Livestock\tabcellsep 4,98\tabcellsep 5,73\tabcellsep 9,49\tabcellsep 8,28\tabcellsep 6,27\tabcellsep 6,45\tabcellsep 6,91\tabcellsep 6,95\\
Non-farm\tabcellsep 23,30\tabcellsep 26,80\tabcellsep 16,77\tabcellsep 14,63\tabcellsep 29,41\tabcellsep 30,28\tabcellsep 23,05\tabcellsep 23,18\\
NI total\tabcellsep 86,92\tabcellsep 100,00\tabcellsep 114,62\tabcellsep 100,00\tabcellsep 97,14\tabcellsep 100,00\tabcellsep 99,45\tabcellsep 100,00\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \multicolumn{3}{l}{Source:Household interviewed in 2013}\end{longtable} \par
 
\caption{\label{tab_2}Table 3 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{4} \par 
\begin{longtable}{P{0.26761158021712905\textwidth}P{0.15072376357056697\textwidth}P{0.010253317249698432\textwidth}P{0.156875753920386\textwidth}P{0.010253317249698432\textwidth}P{0.15790108564535585\textwidth}P{0.010253317249698432\textwidth}P{0.08612786489746682\textwidth}}
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep Year 2017\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep 31\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep Volume XVII Issue I Version I\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep E )\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep (\\
Independent variables Constant X1: Educational level of householder X2: Participating in union (yes, no) X3: Family labors (man-day) X4: Livestock (yes, no)\tabcellsep \multicolumn{2}{l}{Mono rice household Regression Coefficient Value P -33.354 0.170 13.167 0.232 33.511 0.096 0.074 0.106 5.936 0.792}\tabcellsep \multicolumn{2}{l}{Rice-upland crops household Regression Coefficient Value P 25.238 0.275 -6.172 0.516 8.047 0.541 0.108 0.000 10.612 0.480}\tabcellsep \multicolumn{2}{l}{Rice-aquaculture household Regression Coefficient Value P -0.451 0.980 10.375 0.089 -14.440 0.256 0.090 0.000 2.771 0.810}\tabcellsep Global Journal of Human Social Science -\\
X5: Investment for material inputs\tabcellsep 0.012\tabcellsep 0.928\tabcellsep 0.350\tabcellsep 0.000\tabcellsep 0.027\tabcellsep 0.733\\
(million VND)\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
X6: Farm land (ha)\tabcellsep 40.494\tabcellsep 0.000\tabcellsep 4.300\tabcellsep 0.358\tabcellsep 27.991\tabcellsep 0.000\\
Observation number\tabcellsep 85\tabcellsep \tabcellsep 53\tabcellsep \tabcellsep 82\tabcellsep \\
Sig.F\tabcellsep 0.000\tabcellsep \tabcellsep 0.000\tabcellsep \tabcellsep 0.000\tabcellsep \\
R\tabcellsep 0.769\tabcellsep \tabcellsep 0.733\tabcellsep \tabcellsep 0.769\tabcellsep \\
R 2\tabcellsep 0.591\tabcellsep \tabcellsep 0.538\tabcellsep \tabcellsep 0.591\tabcellsep \\
Durbin-Watson\tabcellsep 2.025\tabcellsep \tabcellsep 2.219\tabcellsep \tabcellsep 2.118\tabcellsep \end{longtable} \par
 
\caption{\label{tab_3}Table 4 :}\end{figure}
 			\footnote{© 2017 Global Journals Inc. (US)} 		 		\backmatter  			  				\begin{bibitemlist}{1}
\bibitem[D??ng Ng?c Thành (ed.)]{b0}\label{b0} 	 		\textit{Employment Labor and Rural Occupation Training in the Mekong Delta (Situation and Orientation)},  		D??ng Ng?c Thành (ed.)  		Cantho University Publication House. Cantho. p. .  	 	 (Transfering the economic structure, the labors and the rural employment. in Vietnamese) 
\bibitem[Neefjes ()]{b1}\label{b1} 	 		\textit{Environment and Livelihood. National Political Publication House},  		 			Koos Neefjes 		.  		2003. Hanoi. p. 334.  	 	 (in Vietnamese) 
\bibitem[Results of Investigation on Rural, Agriculture and Aquaculture in 2011 ()]{b3}\label{b3} 	 	 	 		\textit{Results of Investigation on Rural, Agriculture and Aquaculture in 2011},  				2012.  	 	 (in Vietnamese) 
\bibitem[Quang Tri and Vo Thi Guong ()]{b2}\label{b2} 	 		\textit{Study on the transfered model of the animal crops structure in the acid soil of Vinh Loc and Ninh Thanh Loi villages, Hong Dan district},  		 			Le Quang Tri 		,  		 			Vo Thi Guong 		.  		2006.  		 			Bac Lieu province. Research Paper. College of Agriculture and Applied Biology. Cantho University 		 	 	 (in Vietnamese) 
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\end{document}
