Abstract
This paper investigated the effects of implementing conventional cotton using meta data as the global scope from developed countries (America and Australia) and developing countries (India and China). The data base collected individual studies from more than one decade of field trials and survey. More specifically, the global effects of conventional cotton on crop yields, seed costs, pesticide costs, management and labor costs, and finally net returns were analyzed. Regression analysis was conducted to investigate and estimate the relationship between response variable and explanatory variables on these parameters. The results indicated that yield gain is the high expectation of cotton growers to optimize the net return and a strong positive correlation between yield and net return indicates that increased yield of using conventional cotton leads to higher revenue of cotton grower.
Highlights
Cotton is the cash crop among the farmers in the developing countries such as India, Pakistan, Indonesia, and China as well
We employed a regression analysis in order to investigate the correlation between dependent variable (Y = Net Revenue) and predictor variable (X1 = Yield, X2 = Seed, X3 = Pesticide, X4 = Management and Labor)
There can be no comparison between such disparate quantities; instead we look at the tratios between response variable and explanatory variables, in which 8.625 was for the yield which was higher than that of any other independent variables
Summary
Cotton is the cash crop among the farmers in the developing countries such as India, Pakistan, Indonesia, and China as well. Due to the development of Genetically Modified (GM) cotton around the world, nowadays mostly cotton growers choose GM seed for planting cotton. The expenditure of using fertilizer, chemical matter, labor, management system and yield gain impact the net revenue of the cotton enterprise. Net income is a key measure for determining how successful a cotton grower operation has been historically, as well as an indicator of how the financial success of the farm might be in the future. Do agronomic aspect (yield) has a greater effect on net return variability or do economic factors such as seed cost, pesticide cost, management and labor cost have a greater effect on net income variability? Inputs are the essential factors influencing yield.
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