An Economic Analysis of Sugar beet Production in Punjab, Pakistan
DOI:
https://doi.org/10.52223/JSSA25-060406Keywords:
Sugar beet production, Cost of cultivation, Input use efficiency, Farm profitability, Production economics, Regression analysis, PakistanAbstract
Pakistan economy is based on agriculture with a vital share of 19.5% in total GDP which provide 42.3% of the total labor force. Pakistan has highest demand of sugar i.e., 25 kg per capita per annum. Cane and beet are the two major causes of sugar production in the world. Sugarcane production in the country could meet only 75% demand of existing sugar mills. In 2017, sugar beet production in Pakistan was 105,783 tonnes while it remained cultivated on a range of 2628 hectares. Present study was illustrated the economic analysis of sugar beet production in Chiniot District and identify the factors affecting the production of sugar beet. For that purpose, primary data were collected from 100 sugar beet growers from district Chiniot by using simple random sampling technique through a well-structured questionnaire for the cropping season 2018-19. The appropriate statistical and econometric method has been used to analyze the data. The multiple linear regression is used when there is more than two independent variables and one dependent variable. There are three columns of the regression variables coefficients and the t-statistics to check the significance of the independent variable and the third column is p-value. The first term is y-intercept and the value is 3.453 and its p-value is 0.002 it means there is significant relationship between y-intercept and dependent variable. Consequences of the research composed and offered in the arrangement of a proposal. Promote appropriate sugar beet pricing system to ensure recovery of at least running and capital cost. Government should give subsidy to ensure a favorable return on sugar beet crop. Promote awareness about sugar beet crop among growers.
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Copyright (c) 2025 Ayesha Rouf, Abdullah Hammad, Muzammil Anwar

This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License.







