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Research Detail

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Dr. Md. Mafizul Islam
Chief Scientific Officer
Socioeconomic Research Division Bangladesh Livestock Research Institute, Savar.

Dr. Md. Taj Uddin
Professor
Faculty of Agricultural Economics Bangladesh Agricultural University Mymensingh.

 

This study attempts to estimate the income from native poultry production and analyze the efficiency of resources used. A total of 180 poultry rearers were selected from different villages of the districts using purposive sampling technique. Primary and secondary data were collected and analyzed following a combination of descriptive statistics, sensitivity analysis, statistical model and mathematical technique. Gross and net returns per household per day from native poultry rearing were estimated at Tk. 34.04 and Tk. 27.93, respectively. The undiscounted benefit cost ratio was 5.57, implying that this enterprise is highly profitable. Moreover, the contribution from poultry rearing to total income was 8.25 percent. Sensitivity analysis shows that the gross margins and benefit cost ratios were strongly influenced by the factors such as the cost of inputs, price of outputs and poultry inventory. Multiple Regression model revealed that almost all variables were influenced income from native poultry farming except rearing cost. Increasing returns to scale was found which indicates that there was bright prospect to earn more through the use of more inputs in the production process. Finally, a number of problems faced by the poultry farmers were identified and some suggestions were recommended accordingly.

 

  Benefit cost ratio, Native poultry, Resource use efficiency, Sensitivity analysis
  Noakhali, Patuakhali and Satkhira
  01-07-2011
  30-06-2012
  Socio-economic and Policy
  Poultry

1. To determine the income from livestock production and its contribution to farm income, 2. To determine the coefficients of income generated from livestock production, and 3. To measure resource use efficiency of the relevant factors.

 

Study areas were selected from five Upazilas of three coastal districts namely Noakhali, Patuakhali and Satkhira. From each district, at least one Upazila was purposively selected as the study location considering the concentration of poultry rearing. The selected Upazilas were Hatia and Subornochar under Noakhali district, Kalapara under Patuakhali and Tala Upazila under Satkhira district. A total of 180 poultry farmers were interviewed for the collection of necessary data and information who were involved in native poultry rearing (60 farmers from each of the three districts). Purposive sampling technique was followed for selecting these respondents. Field survey method was followed to collect primary data for one year of operation. Data were collected from respondents by using semi-structured interview schedule. Secondary data and information were also collected and discussed for this research from different handouts, reports, publications, notifications, etc. For analyzing the data, a combination of tabular and mathematical techniques were used to achieve the objectives and to get the meaningful results. In addition, sensitivity analysis was used to assess the effects of adverse changes of the relevant factors. The multiple regression model was used to determine the effects of key variables. To identify the most important variables of poultry rearing, the following specification of the model was made: Y= a X1b1 X2b2 X3b3 X4b4 X5b5 X6b6 X7b7 X8b8 D1b9 D2b10 Ui. The model was transformed into following logarithmic form so that it could be estimated by the ordinary least squares (OLS) method:

ln Y= a b1 ln X1 + b2 ln X2 + b3 ln X3 + b4 ln X4 + b5 ln X5  + b6 ln X6 + b7 ln X7 +b8 ln X8 + b9 D1 +b10 D2 +Ui

Where, Y= Gross return (Tk. /Year); X1 =Age of the respondents; X2 =Year of schooling; X3 =Family size; X4 =Land holding; X5 =No. of livestock enterprises; X6 = Working hours; X7 = Rearing cost; X8 = Income from other sources; D1 = Training; D1 =1 if training received by the farmers, D1 =0 otherwise; D2 =Vaccine and medication; D2 =1 if vaccine and medication used by the farmers, D2 = 0 otherwise; In = Natural logarithm; a = Constant/intercept; b1, b2…..b10. Moreover, mathematical technique i.e., marginal value product (MVP) and marginal factor cost (MFC) comparison was done to measure efficiency/inefficiency of the resources used in rearing poultry.

 

  BLRI. Proceedings of Annual Research Review Workshop, 2011-2012, Bangladesh Livestock Research Institute, Savar. pp. 239-274
  
Funding Source:
1.   Budget:  Five lac only
   Five lac only

Native poultry rearing in coastal areas have been practiced for a long time at a small scale for multipurpose activities. The study revealed that the benefit cost ratio from native poultry rearing was 5.57, which indicated that poultry rearing is profitable venture that enhanced farms monthly net income by 58 percent. The more benefit could still be harvested through training to the farmers on improved process of poultry bird rearing. The sensitivity analysis shows that the gross margins and benefit cost ratios were strongly influenced by the factors such as the poultry inventory, cost of inputs and price of outputs. The production function analysis indicates that the important inputs for poultry rearing are training of the respondents regarding poultry bird’s health management, timely vaccination and medication along with adequate delivery of vaccines to the keepers. Most of the regression coefficients, i.e., income from other sources, training of the respondents, vaccine and medication etc. had positive and statistically significant value for poultry rearers with higher MVPs which indicate that farmers can increase gross returns by increasing the use of these resources. The study argues that the higher returns from poultry rearing will depend upon successfully overcoming such constraints. Finally, it may be concluded that subsistence poultry rearing could be encouraged in Bangladesh as an effective means for income generations and employment creation, especially for women in the coastal regions which will ultimately reduce poverty and improve overall livelihood. 

  Report/Proceedings
  


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