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On-Going Research Schemes/Projects :
(A)   Rural markets dynamics of Bazzars/Haats in Saurashtra Region :
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Title of the programme
:
Rural markets dynamics of Bazzars/Haats in Saurashtra Region
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Objectives
:
1.    To study the logistical issues involved behind these Bazaars/Haats (B/H).
 
 
 
2.   To understand the seller and buyer behaviour and their marketing implications.
 
 
 
3.   To understand the economics that drives these B/H
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Background information: India is made up of nearly 6 lakh villages, which constitute the base of the Indian economy which is emerging into a market oriented economy in which, it is needless to say, rural marketing made up of agriculture and related sub-sectors like forestry, animal-husbandry and others play a crucial role. Rural consumer is different as to Urban consumer in terms of Income, Education, Family back ground and other demographic aspects. Rural markets offer a great scope for a concentrated marketing effort because of the recent increase in the rural incomes and the likelihood that such incomes will increase faster because of better production and higher prices for agricultural commodities. In case of rural marketing, the marketing mix has changed from the traditional '4 Ps' to the new '4 As', i.e., affordability, awareness, availability and acceptability. There are about 47,000 rural haats in India that exceeds the total number of retail chain stores in the USA (35,000).A haat, most often called only haat or hat, is an open-air market that serves as a trading venue for local people in rural areas and some towns. Which is a market, especially one held on a regular basis in a rural area. A Bazaar is a market consisting of rows of shops or stalls selling miscellaneous goods, especially in the Middle East and India.
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Investigators
:
1.Prof. C. D. Lakhlani, Professor
2.Prof. Kalpesh Kumar, Assistant Professor
3.Prof. H. Y. Maheta,  Assistant Professor
4.Prof. C. R. Bharodia,  Assistant Professor
5.Prof. C. M. Naliyadara, Assistant Professor
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Location
:
Saurashtra Region
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Year and Season
:
2018-19
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Methodology: The study will focus on understanding the economic and social perspective of Bazaars/Haats of Saurashtra region. It will try to explain the consumer behavior for these markets. The study will be purely based on primary data collected by means of interviewing people who participate in these haats or bazaars either as buyers or as sellers. The study will be supplemented with the secondary data obtained from different sources (Internet, Publications etc). Initially, the modest observations will be made to understand the dynamics of these bazaars/haats. Later on semi-structured interviews will be carried out of the sellers, for getting the detailed information about the marketing habits as well as logistical issues. The study will cover 10 different bazaars/haats including various cultural fairs like Tarnetar Fair, Shivratri Fair etc. of Saurashtra region. The total sample size will be 100 respondents including 50 buyers and 50 sellers. Attempts will be made to verify the accuracy of the information by triangulating it and collecting the same information from a different source. Bazzar/Haats setup will be analyzed on following parameters:
•General description of market structure
•Supply chain existing in that area
•Analyzing supply chain
•Major product baskets
•Players of supply chain
•Selling and buying pattern
•How do they do demand estimation and sales times estimation and roll over demand and roll over supply.
•Components of cost a seller consider while deciding the price and how they are adjusted.
(B)   Exports dynamics of raw cotton in India :
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Title of the programme
:
Export dynamics of raw cotton in India. 
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Objectives
:
1)  To work out the growth and instability indices of export of cotton from India
 
 
 
2)  To study the direction of trade and changing pattern of export from India
 
 
 
  3) To predict the future cotton export to importing      destinations
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Background information: Cotton is an important fibre crop of India which plays a dominant role in the country’s economy by meeting the domestic and export demands. It contributes significantly to both agriculture and industry in terms of farm income, employment and export earnings. India produces 351 lakh bales of cotton from 105 lakh hectares in the year 2016-17. India ranks second in cotton export in the world. The value of raw cotton exported stood at USD 1.9 billion in the October 2017. The states of Gujarat, Maharashtra, Telangana, Andhar Pradesh, Karnataka, Madhya Pradesh, Haryana etc. are the major cotton producers in India. The export of raw cotton and finished cotton product from India influence the domestic price of raw cotton to a greater extent and consequently the acreage allocation under this crop. Hence it is worth wile to study the export dynamics of raw cotton in interest of cotton growers, traders and policy makers. With this view the present study will be carried out with given objectives.
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Investigators
:
1.  Prof. Jagruti D. Bhatt, Assistant Professor
2.  Dr. K. A. Khunt, Principal & Dean,
3.  Dr. S. M. Trivedi, Associate Professor
4.  Prof. N. M. Thaker, Assistant Professor
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Location
:
Junagadh
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Year and Season
:
2018-19
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Methodology: The secondary data about export of raw cotton will be used to measure the growth rates and instability. The annual data about quantity and value of export will be used. To study the direction of trade country wise export data will be collected based on availability. The compound growth rate will be estimated using exponential function. Instability indices will be worked out using Cuddy-Della Index. The trade directions of cotton export from India will be analysed using the first order Markov Chain approach.
Projects Completed :
i) Utilisation pattern and trends in Non Performing Asset of crop loan in Junagadh district:
It can be concluded that among the crop loan borrowers of Junagadh district defaulters group have on an average relatively poor socio-economic condition with least social participation and low plant protection equipment, farm implements and machinery, livestock status, extension contact, etc. It is revealed that marginal farmers used agricultural credit to meet all major cost related to agricultural occupation and large farmers also have used the crop loan for the productive purposes with comparatively less diversion. In general, major portion of loan was utilized for productive purpose i.e. for purchase of seeds, fertilizers, pesticides and for labour payments in all the farm size groups. In case of component wise utilization, almost same proportion of total credit was used in both the categories of crop loan borrowers. Thus, the utilization pattern and trends of diversion of credit found almost the same in both the groups. NPA showed slight positive growth, however percentage of NPA to total advances shows negative growth during the study period. Default status of crop loan borrower is directly related to land holding and main occupation of farmers while inversely related with literacy index, percentage of irrigated area to total area and percentage of other income to total income. Highly significant discriminator of default status of crop loan borrower is main occupation of borrower followed by land holding, percentage of irrigated area to total area, percentage of other income to total income and literacy index.
ii) Weather based forecasting of wheat (irrigated) productivity for Junagadh  district.
     Objectives   : 
1) To identify effect of weather variables on wheat productivity
2) To suggest suitable method for pre-harvest forecasting for the  productivity of wheat
Especially in Junagadh district conditions for having the earliest forecast i.e. before 6 weeks to harvest the crop the model viz., week wise approach using original weather variables was found best for 23, 24, 25 and 26 years data with efficiency in terms of adjusted R2ranging between 86.00 to 93.00 per cent.  Where as the model viz., correlation coefficient as weight had efficiency 77.00 per cent in terms of adjusted R2.
 
Among the four approaches used, crop stage wise with original weather variables and week number as weight approaches were utilized to generate new variables gave low R2 and adjusted R2 values with high deviations of simulated forecast from the observed data of wheat productivity. Therefore, these models could not be considered to be appropriate as pre harvest forecast model.