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Research Detail

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M. A. Rahman
Assistant Professor
Department of Agricultural Finance, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh,

Paresh Kumar Sarma
Scientific Officer
Bangladesh Agricultural University Research System, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh

M. S. Rahman
Bangladesh Agricultural Research Institute, Joydebpur, Gazipur

This study examines the poverty and food security analysis of fishermen households in a selected area of Gopalganj Sadar Upazila in Gopalganj District in Bangladesh. A sample size of 60 households was selected purposively from four villages. Data was collected through field survey by using pre-designed and pre-tested questionnaire. Calorie intake levels were calculated and statistical comparisons were done. Multiple regression analysis was carried out to determine the factor influencing calorie intake in individual levels. Food consumption scores were used to determine calorie intake levels. The major findings of the study were that income, education, cultivable area and rented area had positive impact on calorie intake but age of the respondents and family size had negative impact on calorie intake. About 68.33% of the respondents belonged to hard core poor whose average calorie intake was 1692.32 k. calories and 25% of the respondents had an average calorie intake 1890.93 k. calories and they belonged to absolute poor. The rest 6.67 % of the respondents took above 2122 kilo calories and average calorie intake was 2193.50 k. calories. There was 20% households having poor food consumption and 42% having borderline food consumption. Only 6.67% fishermen households have acceptable low food consumption and 3.33% have acceptable high food consumption. 

  Poverty, Food Security, Fishermen, Calorie intake
  Gopalganj
  01-01-2009
  31-12-2011
  Socio-economic and Policy
  Price behavior

i)  to analyze the socioeconomic characteristics of the sample households;

ii) to identify factors influencing calorie intake and ;

iii) to study the calorie intake  level of the sample households.

In this study, 60 fishermen households were purposively selected from four villages namely Satpar, Tetulia, Lakkhipur and Telivita of Gopalganj Sadar Upazila in Gopalganj district. The required data were collected during the January to March, 2013. A purposive sampling technique was followed in this study. Descriptive analysis was used to describe the socio-economic variables.  Multiple regression analysis was carried out to determine the factors influencing calorie intake in individual levels. Food consumption scores were also used to determine calorie intake levels. To estimate the factors influencing calorie intake the required model was used which was specified as:

Y = a +b1x1+b2x2+b3x3+b4x4+b5x5+b6x6+ei ..........................(i)       

Where,

Y  = Calorie intake per day per person

            x1 = Income of the household

            x2 = Education level of the respondent

            x3 = Age of the respondent

            x4  = Family size

            x5  = Cultivable Area

            x6  = Rent in Area

             a   = Constant

             b  = Regression co-efficient

             ei = Error term

Food consumption scores (FCS)

In order to measure food security, food consumption score (WFP-2009) was used in this study. The FCS is a frequency weighted diet diversity score calculated using the frequency of consumption of different food groups consumed by a household during the 7 days before the survey. In the Table 1 describes the Food groups and their weight through calculation steps.

Calculation steps:

I.    Using standard Vulnerability Analysis and Mapping (VAM) 7-day food frequency data group all the food items into specific food groups.

II.   Sum all the consumption frequencies of food items of the same group, and record the value of each group above 7 as 7.

III.  Multiply the value obtained for each food group by its weight (see food group weights in table below) and creates new weighted food group scores.

IV. Sum the weighed food group scores, thus creating the food consumption score (FCS)

V.  Using the appropriate thresholds, record the variable food consumption score, from a continuous variable to a categorical variable. These are the standard Food Groups and current standard weights used in all analysis.

 

 

 

  J. Bangladesh Agril. Univ. 11(2): 293–299, 2013, ISSN 1810-3030
  
Funding Source:
  

By analyzing poverty and food security of fishermen household, it is found that most of the fishermen household were live with poverty and food insecurity. Most of their income is spent on food. They can spent very little amount of their income for other basic needs. Major portion of them are hard core poor and having borderline poor food consumption. It was indicated from this study that if the fishermen households will able to increase their income level, they can improve their education qualification, get more opportunity to farming activities beside fish catching, reduce their family size and ensure their good health facilities, increasing their calorie intake level and improving their food security situation. Government, different NGOs and development agencies should give attention to improve their income.

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