基于时空大数据的工业企业综合能效评价——以徐州市沛县为例
A Comprehensive Efficiency Evaluation of Industrial Enterprise Based on Spatiotemporal Big Data—Taking Peixian County of Xuzhou City as an Example

工业是我国县域经济的支柱，工业企业的效益会对地区的经济社会发展产生重大影响。做好工业企业提质增效、产业升级转型，提升资源的利用率是地区实现高质量发展的关键，其前提是对工业企业的能效进行全面、准确的评价。本文以江苏徐州沛县为研究区域，在汇集经发、税务、统计、资规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时空数据集，并提出一种由五项一级指标、十一项二级指标、十六项因子的工业企业综合能效评价模型，以此来对研究区内391家规上工业企业2022年综合能效情况进行测算和评价。从模型评价结果来看，与该地区的工业经济发展现状大致相符，证明了模型的有效性和实用性，能够为工业企业转型升级方略的制定提供决策支持。
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.