Paddy is an important and staple food crop in India. India is one of the world's largest producers of white rice and brown rice, accounting for 20 per cent of all world rice production. India exported substantial quantity of both Basmati Non-basmati rice to the world, and import in the same categories were insignificant during 2009-10 and 2016-17 (up to January 2017).
Tamil Nadu has a seven per cent share in the total rice production in India. The state has 19 lakh hectares of land under paddy cultivation. In terms of per hectare production, Tamil Nadu is right at the top among all the states with a staggeringly high number of 3900 kg. This is the reason why the state, despite having lesser land under paddy cultivation, is placed fifth in the country in terms of production.
Tamil Nadu produced 75.85 lakh tonnes of rice during the 2016. Production is a process, where by some goods and services called inputs and transformed into other goods and services called outputs. Many types of activities are involved in the production including changes in farms, location and the time of use of products. Each of these changes involves the use of inputs to produce the desired outputs. The farms outputs of products depend upon the quantities of inputs used in production.
This relation between input and output can be characterized by a production function. The paper aims to reflect upon the factors driving and impacting paddy production using stochastic frontier production model. Correlation, regression are used to estimate and analyse data obtained. We use correlation to denote association between two quantitative variables. We also assume that the association is linear, that one variable increases or decreases a fixed amount for a unit increase or decrease in the other.
The other technique that is often used in these circumstances is regression, which involves estimating the best straight line to summarise the association. The degree of association is measured by a correlation coefficient, denoted by r. It is sometimes called Pearson's correlation coefficient after its originator and is a measure of linear association. If a curved line is needed to express the relationship, other and more complicated measures of the correlation must be used.
When one variable increases as the other increases the correlation is positive; when one decreases as the other increases it is negative. The data used are compiled under the Comprehensive Scheme on “Cost of Cultivation of Principal Crops” in India.
The survey on Cost of Cultivation of Principal Crops is undertaken under the auspices of the Directorate of Economics and Statistics, Ministry of Agriculture, Government of India. Data on fertilizers usage, scientific knowledge available to farmers, rainfall, were obtained from “Stata of Indian Agriculture” handbook that was an outcome of effort of Government of India, Ministry of Agriculture and Farmers Welfare, Department of Agriculture, Cooperation and Farmers Welfare, and Directorate of Economics and Statistics. The inputs considered were area, fertilizers, rainfall, availability of technical knowledge,and availability of funds.Its the way to know about paddy production.
Production is a process, where by some goods and services called inputs and transformed into other goods and services called outputs. Many types of activities are involved in the production including changes in farms, location and the time of use of products. Each of these changes involves the use of inputs to produce the desired outputs. The farms outputs of products depend upon the quantities of inputs used in production. This relation between input and output can be characterized by a production function. The paper aims to reflect upon the factors driving and impacting paddy production using stochastic frontier production model.
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