Financing Efficiency Calculation of Energy Enterprises Based on Internet of Things

J. Sensors Pub Date : 2022-08-27 DOI:10.1155/2022/7262788
Jingjing Wu, Yajuan Zhang
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引用次数: 1

Abstract

In order to conduct a special study on the financing efficiency of a certain industry, the authors propose a method for calculating the financing efficiency of energy enterprises based on the Internet of Things. Combining the DEA method with the Bootstrap method, taking the IoT data of 30 SME boards and 30 energy companies listed on the ChiNext listed in 2010 as a research sample, and using R language and Deap2.1 software, the financing efficiency from 2011 to 2015 is calculated. Experimental results show that from 2011 to 2015, only 28.3% of the enterprises reached the effective state of technical efficiency on average, and the financing efficiency of energy enterprises was generally inefficient. The pure technical efficiency value of the whole enterprise decreases year by year, and its technical efficiency value lower than its scale efficiency is the main reason that its technical efficiency is generally not high.
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基于物联网的能源企业融资效率计算
为了对某一行业的融资效率进行专题研究,笔者提出了一种基于物联网的能源企业融资效率计算方法。结合DEA方法和Bootstrap方法,以2010年在创业板上市的30家中小板企业和30家能源企业的物联网数据为研究样本,使用R语言和Deap2.1软件,计算2011 - 2015年的融资效率。实验结果表明,2011 - 2015年,平均只有28.3%的企业达到技术效率有效状态,能源企业融资效率普遍偏低。整个企业的纯技术效率值逐年下降,其技术效率值低于其规模效率值是其技术效率普遍不高的主要原因。
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