Forecasting of Retail Price Rise in Tomato, Onion and Potato Commodities in India (Record no. 134553)

MARC details
000 -LEADER
fixed length control field 01952nas a2200241Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241128c99999999xx |||||||||||| ||und||
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0019-5014, 2582-7510
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Vani, G.K.
9 (RLIN) 123591
245 #0 - TITLE STATEMENT
Title Forecasting of Retail Price Rise in Tomato, Onion and Potato Commodities in India
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Indian Journal of Agricultural Economics
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent 394-406
520 ## - SUMMARY, ETC.
Abstract The study analyzed the price trends of tomato, onion, and potato commodities in India from January 2014 to April 2024, using Consumer Price Index (CPI) and Wholesale Price Index (WPI) data. It applied autoregressive models to forecast the CPI sub-indices for these three commodities. Results indicated that tomato had the highest price rise but the lowest instability, while potato exhibited the highest instability. Seasonality was vital, with onion prices peaking in November, tomato in July, and potato in November. The model achieved high forecasting accuracy, with Mean Absolute Percentage Error (MAPE) values of 4.58 per cent, 2.02 per cent, and 1.30 per cent for tomato, onion, and potato, respectively. The study also identified key determinants of price volatility, emphasizing the need for seasonal agricultural planning at macro, meso, and micro levels. Particular attention should be paid to high-price months like November and July. The study recommends strengthening market intelligence efforts to ensure stakeholders have equal access to current and forecasted market prices. Policymakers are urged to closely monitor CPI sub-indices and develop price stabilization strategies.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Autoregression
9 (RLIN) 123592
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element CPI
9 (RLIN) 10504
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Instability
9 (RLIN) 30136
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element WPI
9 (RLIN) 48127
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Growth
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Shrivastav, A.
9 (RLIN) 123593
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Singh, D.
9 (RLIN) 93096
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Verma, A.
9 (RLIN) 123594
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://isaeindia.org/wp-content/uploads/2024/10/05-1005-1002-G-K-VANI-Final.pdf">https://isaeindia.org/wp-content/uploads/2024/10/05-1005-1002-G-K-VANI-Final.pdf</a>
999 ## - SYSTEM CONTROL NUMBERS (KOHA)
Koha biblionumber 134553
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Serial Enumeration / chronology Total Checkouts Barcode Date last seen Price effective from Koha item type
        Dr VKRV Rao Library Dr VKRV Rao Library 28/11/2024 Vol. 79, No. 3   AI811 28/11/2024 28/11/2024 Article Index