COVID-19大流行对印度独立港口货运量、收入和支出的影响:ARIMA预测模型

Deepjyoti Das , Aditya Saxena
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引用次数: 0

摘要

航运业对印度经济至关重要,因此了解2019冠状病毒病大流行对港口运营的经济影响,以制定未来抵御能力战略至关重要。本研究通过分析2012年4月至2022年10月的货运量、收入和支出数据,考察了2019冠状病毒病对印度主要港口迪恩达亚尔港的影响。自回归综合移动平均(ARIMA)模型涵盖了COVID-19前、两个COVID-19波和COVID-19后的情景。普通最小二乘(OLS)回归模型的收入和支出评估经济损失。结果显示,第一波货运量下降6.2%,从1.234亿吨减少到1.158亿吨,导致每月平均损失0.6亿吨。第二波出现复苏,货运量从预测的1.276亿吨增加到1.296亿吨,导致每月增加0.2亿吨。第1波的收入损失为2.15亿卢比,而第2波的收入增加了5.7亿卢比。该研究强调了运营效率和管理数量和人力等关键成本驱动因素对维持金融稳定的重要性。这些发现为未来的研究奠定了基础,以加强航运业在大流行后世界的复原力和可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of COVID-19 pandemic on freight volume, revenue and expenditure of deendayal port in India: An ARIMA forecasting model
Shipping sector is vital to Indian economy, making it crucial to understand the economic impact of the COVID-19 pandemic on port operations to develop strategies for future resilience. This study examines the effects of COVID-19 on Deendayal Port, a key Indian port, by analyzing freight volume, revenue, and expenditure data from April 2012 to October 2022. Autoregressive Integrated Moving Average (ARIMA) modeling covers pre-COVID, two COVID-19 waves, and post-COVID scenarios. Ordinary Least Squares (OLS) regression models for revenue and expenditure evaluate economic losses. The results show 6.2% decline in freight volume during the first wave, with a decrease from 123.4 million tons (Mt) to 115.8 Mt, leading to a monthly average loss of 0.6 Mt. The second wave saw recovery, with freight volume increasing from the forecasted 127.6 Mt to 129.6 Mt, resulting in a monthly gain of 0.2 Mt. Revenue losses during wave 1 were 215 crore INR, while wave 2 saw a revenue increase of 57 crore INR. The study highlights the importance of operational efficiency and managing key cost drivers like volume and manpower to maintain financial stability. These findings lay a foundation for future research to strengthen the shipping industry's resilience and sustainability in post-pandemic world.
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