Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition

Abstract Increased concern over environmental pollution issues in China has caused eco-efficiency analysis to become a hot research topic. This study focuses on the eco-efficiency analysis of Chinese provincial-level regions, regarding each region as a two-stage network structure. The first stage is...
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Autor*in:	Chu, Junfei [verfasserIn] Wu, Jie [verfasserIn] Zhu, Qingyuan [verfasserIn] An, Qingxian [verfasserIn] Xiong, Beibei [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Eco-efficiency analysis Data envelopment analysis Two-stage network Equitable efficiency decomposition

Übergeordnetes Werk:	Enthalten in: Computational economics - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988, 54(2016), 4 vom: 02. Jan., Seite 1263-1285
Übergeordnetes Werk:	volume:54 ; year:2016 ; number:4 ; day:02 ; month:01 ; pages:1263-1285

Links:	Volltext

DOI / URN:	10.1007/s10614-015-9558-8

Katalog-ID:	SPR011778245

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520			\|a Abstract Increased concern over environmental pollution issues in China has caused eco-efficiency analysis to become a hot research topic. This study focuses on the eco-efficiency analysis of Chinese provincial-level regions, regarding each region as a two-stage network structure. The first stage is characterized as the production system and the second stage as the pollution control system. Regarding the pollution emissions as intermediate products, a two-stage data envelopment analysis model is proposed to obtain the eco-efficiency of the whole two-stage system. To measure efficiencies for the two sub-stages in each system, an equitable efficiency decomposition model and an algorithm are provided. Next, an empirical study of regional eco-efficiency analysis of 30 Chinese regions reveals that in 2013 the majority of these regions in China had poor ecological performance. Further, four categories of regions are identified by analyzing the efficiencies of each region’s two sub-stages and some suggestions are provided to improve the eco-efficiencies of regions in each category. Additionally, analysis of regional disparities in eco-efficiency shows that in China the average eco-efficiency of the eastern area is higher than those of the central and western areas.
650		4	\|a Eco-efficiency analysis \|7 (dpeaa)DE-He213
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650		4	\|a Equitable efficiency decomposition \|7 (dpeaa)DE-He213
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700	1		\|a Xiong, Beibei \|e verfasserin \|4 aut
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matchkey_str	article:15729974:2016----::nlssfhnseinlcefcecaetotgntokprahihqia
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publishDate	2016
allfields	10.1007/s10614-015-9558-8 doi (DE-627)SPR011778245 (SPR)s10614-015-9558-8-e DE-627 ger DE-627 rakwb eng 330 650 004 ASE 85.03 bkl 31.80 bkl 54.10 bkl Chu, Junfei verfasserin aut Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Increased concern over environmental pollution issues in China has caused eco-efficiency analysis to become a hot research topic. This study focuses on the eco-efficiency analysis of Chinese provincial-level regions, regarding each region as a two-stage network structure. The first stage is characterized as the production system and the second stage as the pollution control system. Regarding the pollution emissions as intermediate products, a two-stage data envelopment analysis model is proposed to obtain the eco-efficiency of the whole two-stage system. To measure efficiencies for the two sub-stages in each system, an equitable efficiency decomposition model and an algorithm are provided. Next, an empirical study of regional eco-efficiency analysis of 30 Chinese regions reveals that in 2013 the majority of these regions in China had poor ecological performance. Further, four categories of regions are identified by analyzing the efficiencies of each region’s two sub-stages and some suggestions are provided to improve the eco-efficiencies of regions in each category. Additionally, analysis of regional disparities in eco-efficiency shows that in China the average eco-efficiency of the eastern area is higher than those of the central and western areas. Eco-efficiency analysis (dpeaa)DE-He213 Data envelopment analysis (dpeaa)DE-He213 Two-stage network (dpeaa)DE-He213 Equitable efficiency decomposition (dpeaa)DE-He213 Wu, Jie verfasserin aut Zhu, Qingyuan verfasserin aut An, Qingxian verfasserin aut Xiong, Beibei verfasserin aut Enthalten in Computational economics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 54(2016), 4 vom: 02. Jan., Seite 1263-1285 (DE-627)270427546 (DE-600)1477445-8 1572-9974 nnns volume:54 year:2016 number:4 day:02 month:01 pages:1263-1285 https://dx.doi.org/10.1007/s10614-015-9558-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 85.03 ASE 31.80 ASE 54.10 ASE AR 54 2016 4 02 01 1263-1285
spelling	10.1007/s10614-015-9558-8 doi (DE-627)SPR011778245 (SPR)s10614-015-9558-8-e DE-627 ger DE-627 rakwb eng 330 650 004 ASE 85.03 bkl 31.80 bkl 54.10 bkl Chu, Junfei verfasserin aut Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Increased concern over environmental pollution issues in China has caused eco-efficiency analysis to become a hot research topic. This study focuses on the eco-efficiency analysis of Chinese provincial-level regions, regarding each region as a two-stage network structure. The first stage is characterized as the production system and the second stage as the pollution control system. Regarding the pollution emissions as intermediate products, a two-stage data envelopment analysis model is proposed to obtain the eco-efficiency of the whole two-stage system. To measure efficiencies for the two sub-stages in each system, an equitable efficiency decomposition model and an algorithm are provided. Next, an empirical study of regional eco-efficiency analysis of 30 Chinese regions reveals that in 2013 the majority of these regions in China had poor ecological performance. Further, four categories of regions are identified by analyzing the efficiencies of each region’s two sub-stages and some suggestions are provided to improve the eco-efficiencies of regions in each category. Additionally, analysis of regional disparities in eco-efficiency shows that in China the average eco-efficiency of the eastern area is higher than those of the central and western areas. Eco-efficiency analysis (dpeaa)DE-He213 Data envelopment analysis (dpeaa)DE-He213 Two-stage network (dpeaa)DE-He213 Equitable efficiency decomposition (dpeaa)DE-He213 Wu, Jie verfasserin aut Zhu, Qingyuan verfasserin aut An, Qingxian verfasserin aut Xiong, Beibei verfasserin aut Enthalten in Computational economics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 54(2016), 4 vom: 02. Jan., Seite 1263-1285 (DE-627)270427546 (DE-600)1477445-8 1572-9974 nnns volume:54 year:2016 number:4 day:02 month:01 pages:1263-1285 https://dx.doi.org/10.1007/s10614-015-9558-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 85.03 ASE 31.80 ASE 54.10 ASE AR 54 2016 4 02 01 1263-1285
allfields_unstemmed	10.1007/s10614-015-9558-8 doi (DE-627)SPR011778245 (SPR)s10614-015-9558-8-e DE-627 ger DE-627 rakwb eng 330 650 004 ASE 85.03 bkl 31.80 bkl 54.10 bkl Chu, Junfei verfasserin aut Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Increased concern over environmental pollution issues in China has caused eco-efficiency analysis to become a hot research topic. This study focuses on the eco-efficiency analysis of Chinese provincial-level regions, regarding each region as a two-stage network structure. The first stage is characterized as the production system and the second stage as the pollution control system. Regarding the pollution emissions as intermediate products, a two-stage data envelopment analysis model is proposed to obtain the eco-efficiency of the whole two-stage system. To measure efficiencies for the two sub-stages in each system, an equitable efficiency decomposition model and an algorithm are provided. Next, an empirical study of regional eco-efficiency analysis of 30 Chinese regions reveals that in 2013 the majority of these regions in China had poor ecological performance. Further, four categories of regions are identified by analyzing the efficiencies of each region’s two sub-stages and some suggestions are provided to improve the eco-efficiencies of regions in each category. Additionally, analysis of regional disparities in eco-efficiency shows that in China the average eco-efficiency of the eastern area is higher than those of the central and western areas. Eco-efficiency analysis (dpeaa)DE-He213 Data envelopment analysis (dpeaa)DE-He213 Two-stage network (dpeaa)DE-He213 Equitable efficiency decomposition (dpeaa)DE-He213 Wu, Jie verfasserin aut Zhu, Qingyuan verfasserin aut An, Qingxian verfasserin aut Xiong, Beibei verfasserin aut Enthalten in Computational economics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 54(2016), 4 vom: 02. Jan., Seite 1263-1285 (DE-627)270427546 (DE-600)1477445-8 1572-9974 nnns volume:54 year:2016 number:4 day:02 month:01 pages:1263-1285 https://dx.doi.org/10.1007/s10614-015-9558-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 85.03 ASE 31.80 ASE 54.10 ASE AR 54 2016 4 02 01 1263-1285
allfieldsGer	10.1007/s10614-015-9558-8 doi (DE-627)SPR011778245 (SPR)s10614-015-9558-8-e DE-627 ger DE-627 rakwb eng 330 650 004 ASE 85.03 bkl 31.80 bkl 54.10 bkl Chu, Junfei verfasserin aut Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Increased concern over environmental pollution issues in China has caused eco-efficiency analysis to become a hot research topic. This study focuses on the eco-efficiency analysis of Chinese provincial-level regions, regarding each region as a two-stage network structure. The first stage is characterized as the production system and the second stage as the pollution control system. Regarding the pollution emissions as intermediate products, a two-stage data envelopment analysis model is proposed to obtain the eco-efficiency of the whole two-stage system. To measure efficiencies for the two sub-stages in each system, an equitable efficiency decomposition model and an algorithm are provided. Next, an empirical study of regional eco-efficiency analysis of 30 Chinese regions reveals that in 2013 the majority of these regions in China had poor ecological performance. Further, four categories of regions are identified by analyzing the efficiencies of each region’s two sub-stages and some suggestions are provided to improve the eco-efficiencies of regions in each category. Additionally, analysis of regional disparities in eco-efficiency shows that in China the average eco-efficiency of the eastern area is higher than those of the central and western areas. Eco-efficiency analysis (dpeaa)DE-He213 Data envelopment analysis (dpeaa)DE-He213 Two-stage network (dpeaa)DE-He213 Equitable efficiency decomposition (dpeaa)DE-He213 Wu, Jie verfasserin aut Zhu, Qingyuan verfasserin aut An, Qingxian verfasserin aut Xiong, Beibei verfasserin aut Enthalten in Computational economics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 54(2016), 4 vom: 02. Jan., Seite 1263-1285 (DE-627)270427546 (DE-600)1477445-8 1572-9974 nnns volume:54 year:2016 number:4 day:02 month:01 pages:1263-1285 https://dx.doi.org/10.1007/s10614-015-9558-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 85.03 ASE 31.80 ASE 54.10 ASE AR 54 2016 4 02 01 1263-1285
allfieldsSound	10.1007/s10614-015-9558-8 doi (DE-627)SPR011778245 (SPR)s10614-015-9558-8-e DE-627 ger DE-627 rakwb eng 330 650 004 ASE 85.03 bkl 31.80 bkl 54.10 bkl Chu, Junfei verfasserin aut Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Increased concern over environmental pollution issues in China has caused eco-efficiency analysis to become a hot research topic. This study focuses on the eco-efficiency analysis of Chinese provincial-level regions, regarding each region as a two-stage network structure. The first stage is characterized as the production system and the second stage as the pollution control system. Regarding the pollution emissions as intermediate products, a two-stage data envelopment analysis model is proposed to obtain the eco-efficiency of the whole two-stage system. To measure efficiencies for the two sub-stages in each system, an equitable efficiency decomposition model and an algorithm are provided. Next, an empirical study of regional eco-efficiency analysis of 30 Chinese regions reveals that in 2013 the majority of these regions in China had poor ecological performance. Further, four categories of regions are identified by analyzing the efficiencies of each region’s two sub-stages and some suggestions are provided to improve the eco-efficiencies of regions in each category. Additionally, analysis of regional disparities in eco-efficiency shows that in China the average eco-efficiency of the eastern area is higher than those of the central and western areas. Eco-efficiency analysis (dpeaa)DE-He213 Data envelopment analysis (dpeaa)DE-He213 Two-stage network (dpeaa)DE-He213 Equitable efficiency decomposition (dpeaa)DE-He213 Wu, Jie verfasserin aut Zhu, Qingyuan verfasserin aut An, Qingxian verfasserin aut Xiong, Beibei verfasserin aut Enthalten in Computational economics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 54(2016), 4 vom: 02. Jan., Seite 1263-1285 (DE-627)270427546 (DE-600)1477445-8 1572-9974 nnns volume:54 year:2016 number:4 day:02 month:01 pages:1263-1285 https://dx.doi.org/10.1007/s10614-015-9558-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 85.03 ASE 31.80 ASE 54.10 ASE AR 54 2016 4 02 01 1263-1285
language	English
source	Enthalten in Computational economics 54(2016), 4 vom: 02. Jan., Seite 1263-1285 volume:54 year:2016 number:4 day:02 month:01 pages:1263-1285
sourceStr	Enthalten in Computational economics 54(2016), 4 vom: 02. Jan., Seite 1263-1285 volume:54 year:2016 number:4 day:02 month:01 pages:1263-1285
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Eco-efficiency analysis Data envelopment analysis Two-stage network Equitable efficiency decomposition
dewey-raw	330
isfreeaccess_bool	false
container_title	Computational economics
authorswithroles_txt_mv	Chu, Junfei @@aut@@ Wu, Jie @@aut@@ Zhu, Qingyuan @@aut@@ An, Qingxian @@aut@@ Xiong, Beibei @@aut@@
publishDateDaySort_date	2016-01-02T00:00:00Z
hierarchy_top_id	270427546
dewey-sort	3330
id	SPR011778245
language_de	englisch
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author	Chu, Junfei
spellingShingle	Chu, Junfei ddc 330 bkl 85.03 bkl 31.80 bkl 54.10 misc Eco-efficiency analysis misc Data envelopment analysis misc Two-stage network misc Equitable efficiency decomposition Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition
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topic_title	330 650 004 ASE 85.03 bkl 31.80 bkl 54.10 bkl Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition Eco-efficiency analysis (dpeaa)DE-He213 Data envelopment analysis (dpeaa)DE-He213 Two-stage network (dpeaa)DE-He213 Equitable efficiency decomposition (dpeaa)DE-He213
topic	ddc 330 bkl 85.03 bkl 31.80 bkl 54.10 misc Eco-efficiency analysis misc Data envelopment analysis misc Two-stage network misc Equitable efficiency decomposition
topic_unstemmed	ddc 330 bkl 85.03 bkl 31.80 bkl 54.10 misc Eco-efficiency analysis misc Data envelopment analysis misc Two-stage network misc Equitable efficiency decomposition
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title	Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition
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title_full	Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition
author_sort	Chu, Junfei
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author_browse	Chu, Junfei Wu, Jie Zhu, Qingyuan An, Qingxian Xiong, Beibei
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title_sort	analysis of china’s regional eco-efficiency: a dea two-stage network approach with equitable efficiency decomposition
title_auth	Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition
abstract	Abstract Increased concern over environmental pollution issues in China has caused eco-efficiency analysis to become a hot research topic. This study focuses on the eco-efficiency analysis of Chinese provincial-level regions, regarding each region as a two-stage network structure. The first stage is characterized as the production system and the second stage as the pollution control system. Regarding the pollution emissions as intermediate products, a two-stage data envelopment analysis model is proposed to obtain the eco-efficiency of the whole two-stage system. To measure efficiencies for the two sub-stages in each system, an equitable efficiency decomposition model and an algorithm are provided. Next, an empirical study of regional eco-efficiency analysis of 30 Chinese regions reveals that in 2013 the majority of these regions in China had poor ecological performance. Further, four categories of regions are identified by analyzing the efficiencies of each region’s two sub-stages and some suggestions are provided to improve the eco-efficiencies of regions in each category. Additionally, analysis of regional disparities in eco-efficiency shows that in China the average eco-efficiency of the eastern area is higher than those of the central and western areas.
abstractGer	Abstract Increased concern over environmental pollution issues in China has caused eco-efficiency analysis to become a hot research topic. This study focuses on the eco-efficiency analysis of Chinese provincial-level regions, regarding each region as a two-stage network structure. The first stage is characterized as the production system and the second stage as the pollution control system. Regarding the pollution emissions as intermediate products, a two-stage data envelopment analysis model is proposed to obtain the eco-efficiency of the whole two-stage system. To measure efficiencies for the two sub-stages in each system, an equitable efficiency decomposition model and an algorithm are provided. Next, an empirical study of regional eco-efficiency analysis of 30 Chinese regions reveals that in 2013 the majority of these regions in China had poor ecological performance. Further, four categories of regions are identified by analyzing the efficiencies of each region’s two sub-stages and some suggestions are provided to improve the eco-efficiencies of regions in each category. Additionally, analysis of regional disparities in eco-efficiency shows that in China the average eco-efficiency of the eastern area is higher than those of the central and western areas.
abstract_unstemmed	Abstract Increased concern over environmental pollution issues in China has caused eco-efficiency analysis to become a hot research topic. This study focuses on the eco-efficiency analysis of Chinese provincial-level regions, regarding each region as a two-stage network structure. The first stage is characterized as the production system and the second stage as the pollution control system. Regarding the pollution emissions as intermediate products, a two-stage data envelopment analysis model is proposed to obtain the eco-efficiency of the whole two-stage system. To measure efficiencies for the two sub-stages in each system, an equitable efficiency decomposition model and an algorithm are provided. Next, an empirical study of regional eco-efficiency analysis of 30 Chinese regions reveals that in 2013 the majority of these regions in China had poor ecological performance. Further, four categories of regions are identified by analyzing the efficiencies of each region’s two sub-stages and some suggestions are provided to improve the eco-efficiencies of regions in each category. Additionally, analysis of regional disparities in eco-efficiency shows that in China the average eco-efficiency of the eastern area is higher than those of the central and western areas.
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title_short	Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition
url	https://dx.doi.org/10.1007/s10614-015-9558-8
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author2	Wu, Jie Zhu, Qingyuan An, Qingxian Xiong, Beibei
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doi_str	10.1007/s10614-015-9558-8
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Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition

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