Forecasting of GDP (Gross Domestic Product) Per Capita Using (ARIMA) Data-Driven Intelligent Time Series Predicting Approach

Somesh Sharma, Manmohan Bansal, A. K. Saxena
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Abstract

Gross Domestic Product is the aggregate value of all final services and products generated by the country during the measurement period, including private inventories, paid-in capital expenditures, government purchases, personal consumption, and the balance of international commerce. During the Pandemic period of the last two years, the COVID-19 outbreak has caused chaos in the worldwide economy. Sickness outbreaks, supply-chain disruptions, and, more recently, inflation have made policymaking exceedingly difficult. This research aims to forecast GDP (Gross Domestic Product) per capita for the coming years while also examining historical and present trends in India. This study's objective is to forecast India's future GDP per capita over ten years, from 2021 to 2030, using ARIMA. According to a study, India's GDP per capita has been growing during the last 10 years, and this movement is likely to last over the following ten years.
使用(ARIMA)数据驱动的智能时间序列预测方法预测人均GDP(国内生产总值)
国内生产总值是一个国家在计量期间产生的所有最终服务和产品的总价值,包括私人库存、实收资本支出、政府采购、个人消费和国际贸易余额。在过去两年的大流行期间,新冠肺炎疫情给世界经济造成了混乱。疾病爆发、供应链中断,以及最近的通货膨胀,使得政策制定变得极其困难。这项研究旨在预测未来几年的人均国内生产总值(GDP),同时研究印度的历史和当前趋势。本研究的目标是使用ARIMA预测印度未来十年的人均GDP,从2021年到2030年。根据一项研究,印度的人均国内生产总值在过去10年里一直在增长,这种趋势可能会持续10年。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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