Construction of a green development performance index of industrial enterprises: Based on the empirical study of 458 listed industrial enterprises in China

This paper constructs an enterprise green development performance system by integrating green development concept and enterprise performance measurement. Based on the panel data of 458 industrial listed enterprises in China from 2011 to 2018, this paper simulates the green development performance in...

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Autores principales:	Lingyun He, Yameng Sun, Yufei Xia, Zhangqi Zhong
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Industrial enterprises Green development performance Functional data analysis method Functional analysis of variance Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/0f9c4e05440d4357ae6f6b1ebc8c16de
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spelling	oai:doaj.org-article:0f9c4e05440d4357ae6f6b1ebc8c16de2021-12-01T05:01:06ZConstruction of a green development performance index of industrial enterprises: Based on the empirical study of 458 listed industrial enterprises in China1470-160X10.1016/j.ecolind.2021.108239https://doaj.org/article/0f9c4e05440d4357ae6f6b1ebc8c16de2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21009043https://doaj.org/toc/1470-160XThis paper constructs an enterprise green development performance system by integrating green development concept and enterprise performance measurement. Based on the panel data of 458 industrial listed enterprises in China from 2011 to 2018, this paper simulates the green development performance index of industrial enterprises by using the functional data analysis method and functional entropy weight method. There are four main conclusions. First, the change in the green development performance index of industrial enterprises is U-shaped, which shows an upward trend overall. Within a range of [0.006–0.05], the minimum value is 0.006, and considering the strength and trend of future policies there is no maximum value. The higher the value is, the higher the level of green development of industrial enterprises. Second, according to the weight and fitting curves, we can find that the importance and development level of social performance are at the highest, and the importance level basically floats around 0.5, far higher than the average level. The importance of economic performance and the development level of innovation performance are at the lowest respectively, and there is a big gap with the average level. Third, the shape and trend of the index generated by the average weight and the subjective weight of social performance are basically consistent with the index generated by the objective weight. This shows that the index is not sensitive to the weight and has certain robustness and representativeness. Finally, according to the location of enterprises, they were divided into three categories: middle, east and west. The boost Trap method was used to conduct FANOVA (Functional ANOVA) with the P value of 0.314. The results showed that the index did not differ significantly between regions at the significance level of 0.05.Lingyun HeYameng SunYufei XiaZhangqi ZhongElsevierarticleIndustrial enterprisesGreen development performanceFunctional data analysis methodFunctional analysis of varianceEcologyQH540-549.5ENEcological Indicators, Vol 132, Iss , Pp 108239- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Industrial enterprises Green development performance Functional data analysis method Functional analysis of variance Ecology QH540-549.5
spellingShingle	Industrial enterprises Green development performance Functional data analysis method Functional analysis of variance Ecology QH540-549.5 Lingyun He Yameng Sun Yufei Xia Zhangqi Zhong Construction of a green development performance index of industrial enterprises: Based on the empirical study of 458 listed industrial enterprises in China
description	This paper constructs an enterprise green development performance system by integrating green development concept and enterprise performance measurement. Based on the panel data of 458 industrial listed enterprises in China from 2011 to 2018, this paper simulates the green development performance index of industrial enterprises by using the functional data analysis method and functional entropy weight method. There are four main conclusions. First, the change in the green development performance index of industrial enterprises is U-shaped, which shows an upward trend overall. Within a range of [0.006–0.05], the minimum value is 0.006, and considering the strength and trend of future policies there is no maximum value. The higher the value is, the higher the level of green development of industrial enterprises. Second, according to the weight and fitting curves, we can find that the importance and development level of social performance are at the highest, and the importance level basically floats around 0.5, far higher than the average level. The importance of economic performance and the development level of innovation performance are at the lowest respectively, and there is a big gap with the average level. Third, the shape and trend of the index generated by the average weight and the subjective weight of social performance are basically consistent with the index generated by the objective weight. This shows that the index is not sensitive to the weight and has certain robustness and representativeness. Finally, according to the location of enterprises, they were divided into three categories: middle, east and west. The boost Trap method was used to conduct FANOVA (Functional ANOVA) with the P value of 0.314. The results showed that the index did not differ significantly between regions at the significance level of 0.05.
format	article
author	Lingyun He Yameng Sun Yufei Xia Zhangqi Zhong
author_facet	Lingyun He Yameng Sun Yufei Xia Zhangqi Zhong
author_sort	Lingyun He
title	Construction of a green development performance index of industrial enterprises: Based on the empirical study of 458 listed industrial enterprises in China
title_short	Construction of a green development performance index of industrial enterprises: Based on the empirical study of 458 listed industrial enterprises in China
title_full	Construction of a green development performance index of industrial enterprises: Based on the empirical study of 458 listed industrial enterprises in China
title_fullStr	Construction of a green development performance index of industrial enterprises: Based on the empirical study of 458 listed industrial enterprises in China
title_full_unstemmed	Construction of a green development performance index of industrial enterprises: Based on the empirical study of 458 listed industrial enterprises in China
title_sort	construction of a green development performance index of industrial enterprises: based on the empirical study of 458 listed industrial enterprises in china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/0f9c4e05440d4357ae6f6b1ebc8c16de
work_keys_str_mv	AT lingyunhe constructionofagreendevelopmentperformanceindexofindustrialenterprisesbasedontheempiricalstudyof458listedindustrialenterprisesinchina AT yamengsun constructionofagreendevelopmentperformanceindexofindustrialenterprisesbasedontheempiricalstudyof458listedindustrialenterprisesinchina AT yufeixia constructionofagreendevelopmentperformanceindexofindustrialenterprisesbasedontheempiricalstudyof458listedindustrialenterprisesinchina AT zhangqizhong constructionofagreendevelopmentperformanceindexofindustrialenterprisesbasedontheempiricalstudyof458listedindustrialenterprisesinchina
_version_	1718405583881633792

Construction of a green development performance index of industrial enterprises: Based on the empirical study of 458 listed industrial enterprises in China

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