基于熵权法与灰色理论的广东省经济发展水平分析与预测OA
Analysis and prediction of Guangdong Province's economic development level based on entropy weight method and grey theory
基于灰色关联分析、熵值法和GM(1,1)模型,对广东省经济发展及其各产业与地区生产总值的关系进行了全面分析.利用灰色关联分析评估各产业对广东省经济的贡献,结果表明,第三产业,特别是批发和零售业、交通运输仓储和邮政业、金融业对经济增长的拉动作用最为突出,显示出广东省经济结构正从第二产业主导向第三产业主导转型.采用熵值法计算各经济指标的权重,并分析了2015-2022 年广东省经济的综合得分.基于GM(1,1)模型对2023-2027 年广东省经济的综合得分进行了预测,结果表明,未来经济增速可能放缓,综合得分呈逐年下降趋势.针对这一趋势,提出了相应的政策建议,旨在进一步优化经济结构,推动经济的高质量发展.
A comprehensive analysis of the economic development of Guangdong Province and the relationship between its various industries and regional GDP was conducted using grey relational analysis,the entropy weight method,and the GM(1,1)model.Grey relational analysis was used to assess the contribution of each industry to the economy of Guangdong Province,the results showed that the tertiary industry,particularly the wholesale and retail industry,transportation,warehousing and postal industry,and financial industry,had the most significant driving effect on economic growth,indicating a shift in Guangdong′s economic structure from a secondary industry-dominated model to a tertiary industry-led one.The entropy weight method was used to calculate the weights of various economic indicators,and the comprehensive scores of Guangdong′s economy from 2015 to 2022 were analyzed.Based on the GM(1,1)model,the comprehensive scores of Guangdong's economy for the period from 2023 to 2027 were forecasted,the results indicated that the future economic growth may slow down,with the comprehensive scores showing a declining trend year by year.In response to this trend,relevant policy recommendations were given to further optimize the economic structure and promote high-quality economic development.
王旭坡
广东理工学院 基础课教学研究部,广东 肇庆 526100
数理科学
产业结构经济发展水平灰色关联分析熵值法GM(1,1)模型广东省
industrial structureeconomic development levegrey relational analysisentropy weight methodGM(1,1)modelGuangdong Province
《高师理科学刊》 2025 (9)
31-37,7
广东省教育厅自然基金项目(2021KTSCX157)——非自伴向量微分算子的谱及其应用广东理工学院科技项目(2024YBZK001)——基于灰色关联分析的广东省区域经济发展因素研究
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