Environmental Efficiency Evaluation Method Based on Data Envelopment Analysis and Improved Neural Network

Economic development in China requires lots of energy to support it, but how to acquire an adequate energy supply is a difficult problem. Meantime, environmental pollution caused by energy consumption is a problem that immediately needs to be solved. To adapt to China’s rapidly emerging economy, and...

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Autores principales:	Chao Yang, Feng He, Chang Ren
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/0397182ca1164451955295a1f2522090
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spelling	oai:doaj.org-article:0397182ca1164451955295a1f25220902021-11-29T00:56:39ZEnvironmental Efficiency Evaluation Method Based on Data Envelopment Analysis and Improved Neural Network1875-905X10.1155/2021/3766980https://doaj.org/article/0397182ca1164451955295a1f25220902021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3766980https://doaj.org/toc/1875-905XEconomic development in China requires lots of energy to support it, but how to acquire an adequate energy supply is a difficult problem. Meantime, environmental pollution caused by energy consumption is a problem that immediately needs to be solved. To adapt to China’s rapidly emerging economy, and based on existing policies, giving more consideration to energy saving and environmental safety is more important. Therefore, to investigate China’s regional environmental efficiency and its factors has key importance. In order to evaluate the environmental efficiency input in China, this study first selects some indexes of environmental efficiency and applies the Data Envelopment Analysis (DAE) method to measure the efficiency of input and output. Then, the relative index of environmental efficiency input is selected as the input variable and the efficiency value as the output variable. The Backpropagation neural network is employed to learn and establish the prediction model and achieve high prediction accuracy. The performance of the model is improved by optimizing the index of environmental efficiency investment, adopting the latest data, and increasing the learning samples. This method is not only suitable for the evaluation of macro-environmental efficiency investment, but also suitable for enterprises in specific industries.Chao YangFeng HeChang RenHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Chao Yang Feng He Chang Ren Environmental Efficiency Evaluation Method Based on Data Envelopment Analysis and Improved Neural Network
description	Economic development in China requires lots of energy to support it, but how to acquire an adequate energy supply is a difficult problem. Meantime, environmental pollution caused by energy consumption is a problem that immediately needs to be solved. To adapt to China’s rapidly emerging economy, and based on existing policies, giving more consideration to energy saving and environmental safety is more important. Therefore, to investigate China’s regional environmental efficiency and its factors has key importance. In order to evaluate the environmental efficiency input in China, this study first selects some indexes of environmental efficiency and applies the Data Envelopment Analysis (DAE) method to measure the efficiency of input and output. Then, the relative index of environmental efficiency input is selected as the input variable and the efficiency value as the output variable. The Backpropagation neural network is employed to learn and establish the prediction model and achieve high prediction accuracy. The performance of the model is improved by optimizing the index of environmental efficiency investment, adopting the latest data, and increasing the learning samples. This method is not only suitable for the evaluation of macro-environmental efficiency investment, but also suitable for enterprises in specific industries.
format	article
author	Chao Yang Feng He Chang Ren
author_facet	Chao Yang Feng He Chang Ren
author_sort	Chao Yang
title	Environmental Efficiency Evaluation Method Based on Data Envelopment Analysis and Improved Neural Network
title_short	Environmental Efficiency Evaluation Method Based on Data Envelopment Analysis and Improved Neural Network
title_full	Environmental Efficiency Evaluation Method Based on Data Envelopment Analysis and Improved Neural Network
title_fullStr	Environmental Efficiency Evaluation Method Based on Data Envelopment Analysis and Improved Neural Network
title_full_unstemmed	Environmental Efficiency Evaluation Method Based on Data Envelopment Analysis and Improved Neural Network
title_sort	environmental efficiency evaluation method based on data envelopment analysis and improved neural network
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/0397182ca1164451955295a1f2522090
work_keys_str_mv	AT chaoyang environmentalefficiencyevaluationmethodbasedondataenvelopmentanalysisandimprovedneuralnetwork AT fenghe environmentalefficiencyevaluationmethodbasedondataenvelopmentanalysisandimprovedneuralnetwork AT changren environmentalefficiencyevaluationmethodbasedondataenvelopmentanalysisandimprovedneuralnetwork
_version_	1718407687171997696

Environmental Efficiency Evaluation Method Based on Data Envelopment Analysis and Improved Neural Network

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