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Experiment code
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18.9.3.59 |
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Experiment Title
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Production and export performance of selected vegetables from India |
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Research Type
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Departmental Research |
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Experiment Background
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India has been bestowed with wide range of climate and physic-geographical conditions as
such is most suitable for growing various kinds of horticultural crops such as fruits,
vegetables, flowers, nuts, spices and plantation crops. Fruits and vegetables are important
supplements to the human diet as they provide the essential minerals; vitamins and fibre
required for maintain good health. Fruits and vegetables account for nearly 90 per cent of
the total horticulture production in the country. India produces 11.78 per cent of world‘s
vegetable production. Thousands of farmers, businessmen and industries (seeds, fertilisers,
pesticides, vegetables with pesticides, etc.) are dependent on vegetables. India‘s
geographical condition varies from region to market for vegetable production which has
immense potential for vegetable production. India produced 191 million metric tonnes of81
vegetables during 2019-20 (NHB, 2020). The area under cultivation of vegetables was stood
at 10.35 million hectares. According to FAO (2019), India is the largest producer of ginger
and okra amongst the vegetables and ranks second in the production of potatoes, onions,
cauliflowers, brinjal, cabbages, etc. The vast production base offers India tremendous
opportunities for export. During 2020-21, India exported vegetables worth Rs. 4,971.22
crores. Onions, mixed vegetables, potatoes, tomatoes and green chillies contribute largely to
the vegetable export market. |
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Experiment Group
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Social Science |
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Unit Type
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(02)EDUCATION UNIT |
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Unit
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(24)COLLEGE OF AGRICULTURE (WAGHAI) |
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Department
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(344)Agricultural Economics |
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BudgetHead
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(338/12921/00)338/06/REG/02019 |
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Objective
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1. To analyse the growth and stability in area, production, productivity and export of
selected vegetables of India
2. To examine the direction of trade in the export of selected vegetables of India |
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PI Name
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(NAU-EMP-2019-000545)SHREESHAIL BASAVANTAPPA RUDRAPUR |
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PI Email
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shreeshail@nau.in |
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PI Mobile
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9164537784 |
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Year of Approval
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2022 |
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Commencement Year
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2022 |
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Completion Year
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2023 |
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Research Methodology
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Data: Study is based on secondary data on area, production, productivity and export of
major vegetables over the period of 15 years (2006-07 to 2020-21).
1. Selection of commodities: Select the vegetable crops based on their contribution
equalling more than 50 per cent of the total vegetable production in Gujarat.
Analytical techniques:
Growth rate analysis
For computing compound annual growth rate of area, production, productivity and
export of vegetables, the exponential function of the following form will be used.
Y = a bteUt …………………………………………………………………….. (1)
Where,
Y = Area /production /productivity/Export
a = Intercept
b = Regression coefficient
‗a‘ and ‗b‘ are the parameters to be estimated
t = time period
Ut= Disturbance term in year ‗t‘
The equation (1) will be transformed into log linear form and will be written as;
log Y = log a + t log b + Ut …………………………………………… (2)
Equation (2) will be estimated by using Ordinary Least Squares (OLS) technique.
Compound annual growth rate (g) will be then will be computed by using the formula;
g = (b – 1)*100 …………………………………………………………………….. (3)
Where,
g: Compound growth rate in per cent per annum
b: Antilog of log b
The standard error of the growth rate will be estimated and tested for its significance
with student‘s t test.
Instability analysis:
The coefficient of variation will be used as measure of the variability in area under
cultivation, production, productivity and export of vegetables. The coefficient of
variation or index of instability will be computed by using the following formula;
Standard Deviation ()
CV = ————————————— x 100 ……….......................(4)
Mean (X)
Linear trend will be fitted to the original data of area, production, productivity and
export of vegetables from the country for a period of 15 years. The trend coefficients |
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will be tested for their significance. Whenever the trend of series found to be
significant; the variation around the trend rather than the variation around mean will
be used as an index of instability. The formula suggested by Cuddy and Della will be
used to compute the degree of variation around the trend. The Coefficient of variation
will be multiplied by the square root of the difference between the unity and
coefficient of multiple determinations (R2) to obtain the Instability Index.
Instability index Ix = CV ∗ (1 - R2)……………………….(5)
Percentage analysis/Markov chain analysis will be used to analyse the direction of
Indian major vegetable exports. |
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