张召, 成鹏飞, 裘国珍. 我国产业优化升级水平评价——基于ARCGIS的时空演变特征[J]. 内江师范学院学报, 2025, 40(4): 70-80. DOI: 10.13603/j.cnki.51-1621/z.2025.04.010
    引用本文: 张召, 成鹏飞, 裘国珍. 我国产业优化升级水平评价——基于ARCGIS的时空演变特征[J]. 内江师范学院学报, 2025, 40(4): 70-80. DOI: 10.13603/j.cnki.51-1621/z.2025.04.010
    ZHANG Zhao, CHENG Pengfei, QIU Guozhen. Evaluation of China’s industrial optimization and upgrading level:spatial and temporal evolution characteristics based on ARCGIS[J]. Journal of Neijiang Normal University, 2025, 40(4): 70-80. DOI: 10.13603/j.cnki.51-1621/z.2025.04.010
    Citation: ZHANG Zhao, CHENG Pengfei, QIU Guozhen. Evaluation of China’s industrial optimization and upgrading level:spatial and temporal evolution characteristics based on ARCGIS[J]. Journal of Neijiang Normal University, 2025, 40(4): 70-80. DOI: 10.13603/j.cnki.51-1621/z.2025.04.010

    我国产业优化升级水平评价——基于ARCGIS的时空演变特征

    Evaluation of China’s industrial optimization and upgrading level:spatial and temporal evolution characteristics based on ARCGIS

    • 摘要: 深入产业优化升级是"十四五"时期实现经济高质量发展的重要目标.基于前人研究和新时代产业发展状况,构建包含产业素质、产业转型、绿色发展和结构升级四个准则层的产业优化升级水平评价指标体系;利用熵权法、多目标线性加权法计算指标权重及综合指数,利用ARCGIS工具分析30个省份的时空演变特征,并评价不同维度产业优化升级水平情况.结果显示:产业优化升级水平随时间变化呈现逐步上升的趋势,产业素质趋于向好,产业转型程度加深,绿色发展成为主流,产业结构更加合理化、高度化和高级化;我国各地区产业优化升级水平存在较大差异,整体水平呈现"东高、中平、西低"的特点.最终提出产业优化升级对策建议,为产业升级、生产力发展等提供参考.

       

      Abstract: In-depth industrial optimization and upgrading is an important goal to achieve high-quality economic development during the "14th Five-Year Plan Period". Based on the previous research and the industrial development situation in the new era, the article constructs the evaluation index system of industrial optimization and upgrading level, which includes four levels of criteria: industrial quality, industrial transformation, green development, and structural upgrading; and calculates the weights and comprehensive indexes of the indicators by using entropy weighting method and multi-objective linear weighting method. Using entropy weighting method and multi-objective linear weighting method to calculate the weights of the indicators and comprehensive indexes, using ARCGIS tools to analyze the spatial and temporal evolution characteristics of 30 provinces, and evaluating the level of industrial optimization and upgrading in different dimensions. The results show that: 1,the level of industrial optimization and upgrading shows a gradual upward trend over time, the quality of industry tends to be better, the degree of industrial transformation deepens, green development becomes the mainstream, the industrial structure is more rationalized, highly advanced and advanced; 2, there are big differences in the level of industrial optimization and upgrading in various regions of China, and the overall level shows the characteristics of "high in the east, flat in the middle, and low in the west". The overall level is characterized by "high in the east, flat in the middle and low in the west". Finally, it puts forward countermeasure suggestions for industrial optimization and upgrading to provide reference for industrial upgrading, productivity development and other related articles.

       

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