Vol. 3, Issue 2 (2018)
Constraint analysis of shrimp culture in Gujarat, India
Author(s): Jahnvi Tandel, Dr. Dhaval Maheta
Abstract: Shrimp farming is playing a pivotal role in the socio-economic development of India. The overall export of shrimp during 2015-16 was to the tune of 3, 73,866 MT worth the US $ 3096.68 million in India. Gujarat has the highest productivity of 13.59 MT/ha/year. The four districts of Gujarat namely Valsad, Navsari, Surat, and Bharuch are the major contributors for shrimp production having 95% of state shrimp farmer’s population with the potential area of 69,583.91ha. The data was collected from shrimp farmers and intermediaries by personal interviews and exporters by mails and telephonic interview that were selected by two-stage sampling methods. The First stage was purposive sampling method to identify the districts and the second stage was to identify the aquatic cultured farmers by convenience sampling method. Data was also collected from nearby places where trading and marketing activities have taken place. The study has analyzed the various constraints such as production, economic, marketing and miscellaneous constraints faced by the actors involved in the shrimp culture and has suggested some measures for smooth operation and regulation of shrimp culture in South Gujarat. The constraint analysis through garret’s ranking is done to analyze the various problems faced by shrimp farmers, exporters, and middlemen during shrimp culture. The data were analyzed using frequency and percentages. Garret’s ranking revealed that the storage facility, transportation, and price fluctuations are the major constraint faced by all the marketers. The Government should consider the challenges faced by the marketers of this region encourage shrimp culture by building organized market. The results were reflecting the existing scenario of shrimp culture in the study area. Irrespective of the ranking of the various constraints, the majority of the constraints were the reasons behind the setback of shrimp crop failure.