Study on Regional Growth Analysis of Food Grains in Uttar Pradesh
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Sardar Vallabh Bhai Patel University of Agriculture & Technology, Meerut
Abstract
Agriculture is the backbone of Indian economy, contributes about 14 per cent to national GOP
and providing employment to 54.8 per cent of the total work force (2013-14). India occupies an important
place in production of food grains, as it contributes 11.48 per cent of total food grains production in the
world.Food grains are grown all over the world and account for almost 691 million hectares in area and
2241 million tonnes of production with yieldof 32.4 q/ha in 20 12-13.Jn India food grains account for
almost 124.75 million hectares in area and 257.3 million tonnes of production with yieldof 20.78 q/ha in
2012-13. In U.P. food grains account for 20.13 million hectares, 50.98 million tonnes of production and
yieldof24.98 q/ha (2012-13).
The study is based on the primary and secondary d'lta pertaining to the period 1981-82 to 2011-
12. The compound growth rate was computed with the help of log linear function. The change in
cropping pattern, variability and decomposition analysis were worked out to measure thevariation in
area, production and yield of food grains during three phases viz Phase I, II and III using various
economic tools. The projection of demand and supply of food grains up to 2022 was estimated to meet
the future requirements and to frame future strategies. The primary data was collected from the 180
respondents with the help of well structured pre-tested schedule by personal interview method on various
aspects such as production, marketing and post harvest management in order to identify the constraints
responsible lor the growth of food grains in the state.
In Uttar Pradesh the crops showing significant increase in area were Rice, Wheat, Moong bean,
Urd bean and Pea, while significant decrease was recorded in Maize, Sorghum, Barley and Gram. The
significant increase in production was in Rice, Pearl millet, Wheat, Moong bean, Urd bean and Pea while
significant decrease was noticed in Sorghum, Barley and Gram. The significant increase in yield was
noticed in Rice, Maize, Barley, Sorghum, Pearl millet, Wheat, Moong bean, Urd bean and Pea while no
crop was seen with significant decrease in yield.The change in cropping pattern showed decrease in area
under pulses which was brought under the cultivation of cereals, oilseeds, sugarcane and potato.The
decomposition analysis showed decrease in pulse production due to negative area and positive yield
effect and increase in production of cereals and food grains due to positive area and yield effect. The
variability was found least in second phase and maximum during third phase. The projected population of
the state was estimated during 2012 to 2022. The projected demand and supply for cereals was estimated
over time, and result reveals that the supply of cereals in 2012 was 47.29 million tonnes increased to
58.29 million tonnes in 2022 and its demand from 29.69 million tonnes to 35.56 million tonnes by 2022.
The supply demand gap shows the increased surplus of 17.60 to 22.73 million tonnes during the period of
2012 to 2022. Whereas the supply of pulses was declining from 2.01 (2012) to 1.63 million t~nnes (2022)
against the increased demand from 5.93 to 7. 12 million tonnes which indicates deficit in supply of pulses
increased from 4.02 to 5.49 million tonnes during 20 12-2022.The information on major constraints
problems associated in food grains crop production viz cereals and pulses. Category wise main problems
faced by respondents were non availability and high wage rate of labour, non availability of credit, lack
of knowledge and poor adoption of high yielding varieties, interference of middle man, regulated market
at improper places, lack of storage facilities, lack of knowledge in grading, standardization and quality
control and lack of knowledge in market information while insufficient electric supply, poor availability
of fertilizers, lack of knowledge in price discovery and poor communication facilities were as minor in
trace constraints.
