A Comprehensive Efficiency Evaluation of Industrial Enterprise Based on Spatiotemporal Big Data—Taking Peixian County of Xuzhou City as an Example

娟娟 汪
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Abstract

Industry is the pillar of economy, and the efficiency of industrial enterprises will have a significant impact on the regional economic and social development. Improving the quality and efficiency of industrial enterprises, industrial upgrading and transformation, as well as improving the utilization rate of resources are the key to achieving high-quality development in the region. The premise is to comprehensively and accurately evaluate the efficiency of industrial enterprises. This paper takes Peixian County, Xuzhou, Jiangsu Province, as the research area, on the basis of collecting the relevant spatial-temporal data of the economic development, tax, statistics, natural resources and other departments, and forms a spatial-temporal data set of industrial enterprises through data governance, and proposes a comprehensive energy efficiency evaluation model of industrial enterprises consisting of five first-level indicators, eleven second-level indicators, and sixteen factors, so as to measure and evaluate the comprehensive efficiency of 391 above designated size industrial enterprises in the research area in 2022. From the evaluation results of this model, it is generally consistent with the current situation of industrial economic development in the region, which proves the effectiveness and practicability of the model and can provide decision support for the formulation of industrial enterprise transformation and upgrading strategies.
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基于时空大数据的工业企业综合效益评价——以徐州市沛县为例
工业是经济的支柱,工业企业的效益对区域经济社会发展有着重要的影响。提高工业企业的质量和效益,促进产业升级转型,提高资源利用率,是实现该地区高质量发展的关键。前提是要全面、准确地评价工业企业的效益。本文以江苏省徐州市沛县为研究区,在收集经济发展、税收、统计、自然资源等部门相关时空数据的基础上,通过数据治理形成工业企业的时空数据集,提出了由5个一级指标、11个二级指标组成的工业企业能效综合评价模型。和16个因素,对研究区391家规模以上工业企业2022年的综合效率进行测度和评价。从该模型的评价结果来看,与区域工业经济发展现状基本一致,证明了该模型的有效性和实用性,可以为工业企业转型升级战略的制定提供决策支持。
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