Impact of COVID Lockdown on Price Volatility of Pineapple in Vazhakulam, Kerala

Price fluctuations pose a major challenge in horticulture, especially for perishable crops like pineapple. Vazhakulam in Kerala is a leading hub for pineapple cultivation, with strong interstate marketing networks. This study investigates price volatility in the Vazhakulam pineapple market during covid lock down using daily price data from January 2017 to September 2022. The data was segmented into pre-pandemic (Jan 2017–Mar 2020) and pandemic/post-pandemic (Apr 2020–Sep 2022) periods. Time-series modeling using ARCH and GARCH approaches in R revealed that GARCH(1,1) was the most suitable model for capturing volatility patterns. Results showed significantly higher price instability during the pandemic period, driven by transport disruptions and reduced consumer demand. This volatility affected the economic viability of pineapple farming, leading many producers to reduce cultivation. The findings highlight the need for targeted policy support and risk management strategies to stabilize fruit markets and protect farmer livelihoods during times of crisis.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-18
DOI
https://doi.org/10.5281/zenodo.15689170
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
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article

Impact of COVID Lockdown on Price Volatility of Pineapple in Vazhakulam, Kerala

Zenodo (CERN European Organization for Nuclear Research)
Quality and Supply Management
article

Impact of COVID Lockdown on Price Volatility of Pineapple in Vazhakulam, Kerala

article en

Abstract

Price fluctuations pose a major challenge in horticulture, especially for perishable crops like pineapple. Vazhakulam in Kerala is a leading hub for pineapple cultivation, with strong interstate marketing networks. This study investigates price volatility in the Vazhakulam pineapple market during covid lock down using daily price data from January 2017 to September 2022. The data was segmented into pre-pandemic (Jan 2017–Mar 2020) and pandemic/post-pandemic (Apr 2020–Sep 2022) periods. Time-series modeling using ARCH and GARCH approaches in R revealed that GARCH(1,1) was the most suitable model for capturing volatility patterns. Results showed significantly higher price instability during the pandemic period, driven by transport disruptions and reduced consumer demand. This volatility affected the economic viability of pineapple farming, leading many producers to reduce cultivation. The findings highlight the need for targeted policy support and risk management strategies to stabilize fruit markets and protect farmer livelihoods during times of crisis.

Zenodo (CERN European Organization for Nuclear Research)
Ministry of Agriculture & Farmers Welfare (IN), Kerala Agricultural University (IN)
Zero hunger
Openalex Percentile: Top 38%
Quality and Supply Management
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