An Empirical Study on Forecasting Production and Price of Tea in India

M. Priyadharshini, D. Murugananthi, A. Rohini, R. Vasanthi
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Abstract

Tea is a very indispensable beverage for Indian population as we rank the world’s largest consumer of black tea. Indian tea industry had been facing many downfalls for the past few years in terms of low price, excess supply, losing flavour and all this as a whole had affected the performance of the tea industry in India. With India being the second largest producer of tea globally, the production of tea in India can be subdivided into North India and South India. The current study focuses on the comparative analysis between North India, South India and India in terms of their trends in area, production, yield, export quantity, export price, auction price and auction quantity of tea. Compounded Annual growth rate (CAGR) was the tool used to find the trends of various variables. This study also focuses on the forecasting the production and auction prices of tea in India till 2023using Autoregressive Integrated Moving Average (ARIMA) model. The results of the present study areindicating that all the variables like area, production, yield, export quantity, export price, auction price and auction quantity of tea had shown a positive trend annually, except for that of North India’s export quantity. Production and auction prices were forecasted till 2023 using different ARIMA models amongst which ARIMA (1,1,0) proved to be the best fit model for study period.
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印度茶叶产量与价格预测的实证研究
茶对印度人来说是一种不可或缺的饮料,因为我们是世界上最大的红茶消费国。在过去的几年里,印度茶业一直面临着价格低廉、供应过剩、失去风味等诸多问题,所有这些都影响了印度茶业的表现。由于印度是全球第二大茶叶生产国,印度的茶叶生产可以细分为北印度和南印度。本研究主要对北印度、南印度和印度茶叶的面积、产量、产量、出口数量、出口价格、拍卖价格、拍卖数量等趋势进行比较分析。复合年增长率(CAGR)是用来发现各种变量的趋势的工具。本文还利用自回归综合移动平均(ARIMA)模型对印度茶叶的产量和拍卖价格进行了预测。研究结果表明:茶叶的面积、产量、产量、出口数量、出口价格、拍卖价格、拍卖数量等变量,除北印度出口数量外,均呈逐年递增趋势。使用不同的ARIMA模型预测到2023年的生产和拍卖价格,其中ARIMA(1,1,0)被证明是最适合研究期间的模型。
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