Analysis and Forecasting of Shenzhen GDP Application and Comparison of Time Series Models

Yao Zhang
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Abstract

Gross Domestic Product (GDP) serves as a core indicator in the national economic accounting system and plays a crucial role in assessing the economic development of a country or region. In order to explore the future development trend of GDP in Shenzhen in the coming years, this paper uses GDP data from the past 42 years (1979-2021) in Shenzhen as samples and fits an Autoregressive Integrated Moving Average (ARIMA) model to the second-order differenced GDP series. After testing the fitted model, the ARIMA model is used to forecast the GDP values of Shenzhen for the next six years (2022-2027). By utilizing the model to predict the GDP values of Shenzhen for the next six years, it is concluded that Shenzhen's GDP will increase year by year over the next six years, and the upward trend is relatively stable.
深圳 GDP 分析与预测 时间序列模型的应用与比较
国内生产总值(GDP)是国民经济核算体系中的核心指标,对评价一个国家或地区的经济发展状况起着至关重要的作用。为了探究深圳 GDP 在未来几年的发展趋势,本文以深圳过去 42 年(1979-2021 年)的 GDP 数据为样本,对二阶差分的 GDP 序列拟合自回归综合移动平均模型(ARIMA)。在对拟合模型进行测试后,利用 ARIMA 模型对深圳未来六年(2022-2027 年)的 GDP 值进行预测。通过利用该模型预测深圳未来六年的 GDP 值,可以得出结论:深圳未来六年的 GDP 将逐年上升,且上升趋势相对稳定。
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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