KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/54781
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Anil Kumar Yadav | en_US |
dc.contributor.author | Kishore Kumar Das | en_US |
dc.contributor.author | Pronob Das | en_US |
dc.contributor.author | Rohan Kumar Raman | en_US |
dc.contributor.author | Jeetendra Kumar | en_US |
dc.contributor.author | Basanta Kumar Das | en_US |
dc.date.accessioned | 2021-08-11T09:27:31Z | - |
dc.date.available | 2021-08-11T09:27:31Z | - |
dc.date.issued | 2020-09-08 | - |
dc.identifier.citation | Yadav, A. K., Das, K. K., Das, P., Raman, R. K., Kumar, J. and Das, B. K. (2020). Growth trends and forecasting of fish production in Assam, India using ARIMA model . Journal of Applied and Natural Science, 12(3): 415 - 421. https://doi.org/10.31018/jans.v12i3.2353 | en_US |
dc.identifier.issn | 0974-9411 (Print), 2231-5209 (Online) | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/54781 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Fish is an essential component of the diet of the most populace in Assam and fish farming has been one of the sources of livelihood in rural areas. Assam ranks first in fish production among North -eastern states of India. However, fish production is not sufficient to meet the demand despite having vast aquatic resources in the state. The present study was undertaken to determine the decadal growth of fish production in the state using the compound growth rate. The study also attempted modelling and forecasting of fish production in Assam using Auto -Regressive Integrated Moving Average (ARIMA) methodol- ogy. For the present study, time-series data on fish production in Assam from 1980-81 to 2018-19 was obtained from Direc- torate of Fisheries, Government of Assam. Data for the period 1980 -81 to 2014-15 was utilized to build an ARIMA model and validated through the remaining data from 2015-16 to 2018-19. The best suitable model for the state‟s fish production was ARIMA (1,1,0) based on values of the model selection criterion. The actual fish production and forecast values using a fitted model were in close agreement. The out-of-sample forecast values of fish production in the state for the subsequent years 2019-20 to 2022-23 showed an increasing trend from 336.97 to 358.21 thousand metric tonnes. Considering the vast aquatic resources in the state, the study calls for serious attention by policymakers, researchers and developmental agencies for harnessing the potential of fisheries resources for making the North-east region self-sufficient in fish production as a whole and Assam in particular. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Applied and Natural science Foundation | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | ARIMA, Assam, Compound Growth Rate, Fish Production, Forecast | en_US |
dc.title | Growth trends and forecasting of fish production in Assam, India using ARIMA model | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | NEH | en_US |
dc.publication.journalname | Journal of Applied and Natural Science | en_US |
dc.publication.volumeno | 12(3) | en_US |
dc.publication.pagenumber | 415-421 | en_US |
dc.publication.divisionUnit | ICAR-CIFRI Regional Centre Guwahati | en_US |
dc.publication.sourceUrl | https://doi.org/10.31018/jans.v12i3.2353 | en_US |
dc.publication.authorAffiliation | ICAR::Central Inland Fisheries Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | Peer Reviewed Journal | en_US |
dc.publication.naasrating | 4.28 | en_US |
Appears in Collections: | FS-CIFRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2020_JANS_Yadav et al.pdf | 697.12 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.