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基于DEA模型部分传统工业城市转型效率评价研究

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在建国初期,国家在部分城市建立了重要的能源战略安全基地,有力保障了新中国工业经济实现大跨越大发展.但随着我国经济发展方式逐渐向高效集约的转变,这些工业型城市也面临着可采能源逐渐枯竭、转型发展迫在眉睫的情况.现从国家分三批确定的69个典型资源枯竭型城市选取8个样本,运用相关性分析法和数据包络分析法(DEA)[1],从技术效益、规模效益、产出不足率等方面对2022年部分工业城市转型效率进行研究,根据模型运算结果剖析各城市投入产出情况,并以数据和现实需求有针对性地给出建议.
Research on the Evaluation of Transformation Efficiency of Partially Traditional Industrial Cities Based on DEA Model
In the early period of the founding of China,the state established important strategic energy security bases in some cities,which strongly guaranteed the industrial economy of new China to achieve great leap forward and great development.However,with the transformation of China's economic development mode to high efficiency and intensive,these industrial cities are also facing the gradual depletion of extractable energy and the imminent situation of transformation and development.Now,8 samples are selected from 69 typical resource-depleted cities identified by the state in three batches,and correlation analysis and data envelopment analysis(DEA)are applied to study the transformation efficiency of some industrial cities in 2022 in terms of technological efficiency,scale efficiency,and output insufficiency rate,etc.According to the results of the model operation,we analyse the inputs and outputs of each city,and give targeted suggestions based on the data and the real needs.

industrial cityurban transformationtransformation efficiency evaluationDEA modeldata envelopment analysis

汤晓璇

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安徽理工大学,安徽 淮南 232001

工业型城市 城市转型 转型效率评价 DEA模型 数据包络分析

2024

现代工业经济和信息化

现代工业经济和信息化

影响因子:0.485
ISSN:
年,卷(期):2024.14(1)
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