Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities

This paper proposes the network data envelopment analysis (DEA) model accounting for negative externalities and applies it for decomposition of profit inefficiency in the biomass-agriculture circular system (Bio-AG system). A circular structure of the Bio-AG system which is different from the previo...

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Main Authors: Qingyou Yan, Youwei Wan, Jingye Yuan, Jieting Yin, Tomas Baležentis, Dalia Streimikiene
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/10/9/1418
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author Qingyou Yan
Youwei Wan
Jingye Yuan
Jieting Yin
Tomas Baležentis
Dalia Streimikiene
author_facet Qingyou Yan
Youwei Wan
Jingye Yuan
Jieting Yin
Tomas Baležentis
Dalia Streimikiene
author_sort Qingyou Yan
collection DOAJ
description This paper proposes the network data envelopment analysis (DEA) model accounting for negative externalities and applies it for decomposition of profit inefficiency in the biomass-agriculture circular system (Bio-AG system). A circular structure of the Bio-AG system which is different from the previously applied network structures is assumed. Since the negative externalities (i.e., pollutant emissions from the biomass industry) occur in the Bio-AG system, the property rights are taken into consideration to model the externalities-adjusted profits. Therefore, the changes in profits due to changes in the property rights (assuming no property rights, allocating property rights to agricultural sector, and allocating property rights to biomass power generation sector) are quantified. Further, the decomposition shows that the biomass power generation sector is less affected by technical inefficiency if contrasted to allocative inefficiency in terms of the profit loss. The findings suggest that the biomass power generation technology influences the profits of the biomass industry. What is more, the inefficient allocation of resources is now the key factor undermining performance of the biomass industry. Therefore, the government should adopt measures to improve the allocation of resources and prevent excessive investments or development of less efficient technologies.
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spelling doaj.art-4bf81ec608cf48c6bfc40a5b0ea207822022-12-22T02:15:01ZengMDPI AGEnergies1996-10732017-09-01109141810.3390/en10091418en10091418Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving ExternalitiesQingyou Yan0Youwei Wan1Jingye Yuan2Jieting Yin3Tomas Baležentis4Dalia Streimikiene5School of Economics and Management, North China Electric Power University, 2 Beinong Road, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, 2 Beinong Road, Beijing 102206, ChinaDepartment of Technological Economics and Management, Guangxi University, 100 University Road, Nanning 530004, Guangxi, ChinaSchool of Economics and Management, North China Electric Power University, 2 Beinong Road, Beijing 102206, ChinaLithuanian Institute of Agrarian Economics, Kudirkos Str. 18-2, LT-03105 Vilnius, LithuaniaLithuanian Institute of Agrarian Economics, Kudirkos Str. 18-2, LT-03105 Vilnius, LithuaniaThis paper proposes the network data envelopment analysis (DEA) model accounting for negative externalities and applies it for decomposition of profit inefficiency in the biomass-agriculture circular system (Bio-AG system). A circular structure of the Bio-AG system which is different from the previously applied network structures is assumed. Since the negative externalities (i.e., pollutant emissions from the biomass industry) occur in the Bio-AG system, the property rights are taken into consideration to model the externalities-adjusted profits. Therefore, the changes in profits due to changes in the property rights (assuming no property rights, allocating property rights to agricultural sector, and allocating property rights to biomass power generation sector) are quantified. Further, the decomposition shows that the biomass power generation sector is less affected by technical inefficiency if contrasted to allocative inefficiency in terms of the profit loss. The findings suggest that the biomass power generation technology influences the profits of the biomass industry. What is more, the inefficient allocation of resources is now the key factor undermining performance of the biomass industry. Therefore, the government should adopt measures to improve the allocation of resources and prevent excessive investments or development of less efficient technologies.https://www.mdpi.com/1996-1073/10/9/1418data envelopment analysisbiomass industrynegative externalitiesefficiency decomposition
spellingShingle Qingyou Yan
Youwei Wan
Jingye Yuan
Jieting Yin
Tomas Baležentis
Dalia Streimikiene
Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities
Energies
data envelopment analysis
biomass industry
negative externalities
efficiency decomposition
title Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities
title_full Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities
title_fullStr Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities
title_full_unstemmed Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities
title_short Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities
title_sort economic and technical efficiency of the biomass industry in china a network data envelopment analysis model involving externalities
topic data envelopment analysis
biomass industry
negative externalities
efficiency decomposition
url https://www.mdpi.com/1996-1073/10/9/1418
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