Rice Production Determinants and Income Role for the Poverty Reduction in District Larkana, Pakistan

  • Azad Ali Khatyan PhD Scholar, Department of Economics, Shah Abdul Latif University, Khairpur
  • Prof. Dr. Muhammad Saleem Rahpoto Professor, Department of Economics, Shah Abdul Latif University, Khairpur
  • Dr. Ghulam Muhammad Mangnejo Assistant Professor, Department of Economics, Shaikh Ayaz University, Shikarpur
Keywords: Poverty, Rice Crop, Farmers, and Income of farmers.

Abstract

Poverty is a chronic problem in Pakistan. More than 25 percent of the population is still living below the poverty line. In Pakistan, rural poverty is more than urban poverty. More than 65 percent of the population is living in rural areas. They depend on farming. The purpose of this study was to determine the variables for the more production of rice crops which will increase the income of farmers and it will reduce the poverty from the farmers. The study calculated the average household income of the farmers. The area of this study was District Larkana. A Stratified sample technique was used for the sample from the four Taluka, a sample size of 100 farmers were selected. The data were analyzed by using the cobb-Douglas production function in the log transform method. Demographic results showed that farmers are less educated. The family size was mostly large and they are experienced. The average incomes of the farmers were 53960. The results of the regression revealed that model data is valid with Cronbach's alpha 0.69. Adjusted R-square 0.91 shows good variation due to selected variables. The model is significant at 0.000 values. All variables plow, fertilizer, seed Pest, Labor, Education, and experiences have a positive impact on rice production which is important for farmers’ income.

Published
2020-10-20
How to Cite
Azad Ali Khatyan, Prof. Dr. Muhammad Saleem Rahpoto, & Dr. Ghulam Muhammad Mangnejo. (2020). Rice Production Determinants and Income Role for the Poverty Reduction in District Larkana, Pakistan. Research Journal of Social Sciences and Economics Review (RJSSER), 1(3), 274-279. https://doi.org/10.36902/rjsser-vol1-iss3-2020(274-279)