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Research Detail

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MA Islam
SO
Agricultural Economics Division, BRRI, Gazipur

The new technology would affect the agricultural labour market by changing the labour intensity of cultivation. On the other hand, productivity of labour in turn influences the wage rate and the income of the farmer that would affect their labour/leisure choice. The study was undertaken to examine the supply of and demand for agriculture labourers in Gazipur district and draw some policy implications.The present  study was conducted in purposively selected three villages namely, Aturi, Kamaria and Kumun of sadar Upazila under Gazipur district. Then twenty Boro rice growing farmers from each of the village were selected randomly. Thus, the total sample size was 60. Data were collected using pre-designed questionnaire following face to face interview method. After collection of data, necessary editing was done. Multivariate statistical technique was employed in analyzing data. The results of the study revealed that level of income and family labor supply is inversely related. Poor people supply less labor with the increase of income and technological advancement. The demand for agricultural labour goes up due to higher labour intensity of MVs, putting an upward pressure on the wage rate. Enhancing small and medium scale mechanization, motivating the inactive household labor for working in own field, and reaching latest suitable technology to the doorstep of the ultimate users might   mitigate the labour crisis to some extent.

  Supply and demad, Agricultural labor, New technology
  Gzipur district
  01-07-2012
  30-06-2013
  Socio-economic and Policy
  Impact
  •  The study was undertaken to examine the supply of and demand for agriculture labourers in Gazipur district and draw some policy implications

The study was conducted in purposively selected three villages namely, Aturi, Kamaria and Kumun of sadar Upazila under Gazipur district. Then twenty Boro rice growing farmers from each of the village were selected randomly. Thus, the total sample size was 60. Data were collected using pre-designed questionnaire following face to face interview method. After collection of data, necessary editing was done. Multivariate statistical technique was employed in analyzing data.

The supply of labour was estimated by the following function:

SLBR = f (OWNL, TECH, FSZ, WRKR, FEM, EDCN, LVNG, VWAGE)

Where,

SLBR = Average weekly hours of labour put in by household,

OWNL = Amount of land owned by household (in acres),

TECH = Amount of land cultivated with MVs (in acres),   

FSZ = Number of members in household,

WRKR = Number of family workers in household,

FEM = Numbers of female workers in household,

EDCN = Educational level of head of household (completed years of schooling),

LVNG = Standard of leaving in the village as measured by per capita consumption expenditure, and

VWAGE = Wage rate estimated at the village level (in taka per day)

And the demand for hired labour was estimated with the following function:

DLBR = f (LAND, TECH, WRKR, TNC, VWAGE)

Where,

DLBR = Number of labour days hired from outside the household in the crop production accurately,

LAND = Total cropped area (in acre),

TECH = Area devoted to cultivation of MVs (in acres)

WRKR = Number of family workers in household,

TNC = Total cropped area under tenancy (in acre),

VWAGE = Wage rate estimated at the village level (in taka per day)

Increasing the number of family member is likely to supply additional labour to satisfy the consumption needs of a larger number of dependents. The larger the amount of land owned by the household, the smaller is the supply of labour. But the positive income effect of land ownership reduces the supply of labour force. The higher-income effect of education and the higher social status of the educated worker  reduce the supply of labour in agriculture. Village wage rate has positive significant impact on the family labour supply. The  wage rate has  positively affected the supply of labour.  The higher the standard of living in the villages, the smaller is the supply of labour by its households. Diffusion of the modern technology would increase the supply of labour. Technological progress creates opportunities for more employment in agriculture

  Proceedings of the BRRI Annual Internal Review for 2012-13
  
Funding Source:
1.  Government Budget:  
  

Level of income and family labor supply is inversely related. Poor people supply less labor with the increase of income and technological advancement. The demand for agricultural labour goes up due to higher labour intensity of MVs, putting an upward pressure on the wage rate. Enhancing small and medium scale mechanization, motivating the inactive household labor for working in own field, and reaching latest suitable technology to the doorstep of the ultimate users might   mitigate the labour crisis to some extent.

  Report/Proceedings
  


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