Sustainability efficiency of climate change and global disasters based on greenhouse gas emissions from the parallel production sectors – A modified dynamic parallel three-stage network DEA model
This study employed dynamic three-stage network data envelopment analysis (DEA), considering parallel production in the agricultural and industrial sectors, to assess the impact of greenhouse gas emissions on the climate change and natural disaster stages. The results revealed the following: (1) The...
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Veröffentlicht in: | Journal of environmental management 2022-09, Vol.317, p.115401-115401, Article 115401 |
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description | This study employed dynamic three-stage network data envelopment analysis (DEA), considering parallel production in the agricultural and industrial sectors, to assess the impact of greenhouse gas emissions on the climate change and natural disaster stages. The results revealed the following: (1) The dynamic overall efficiencies of more countries are decreasing than are increasing. The seven countries with the poorest overall efficiency ranking (Myanmar, Vietnam, Thailand, Bangladesh, the Philippines, Pakistan, and India) are mostly located in Southeast Asia. (2) The number of countries that maintained low efficiency over the long term is greater than those that retained high efficiency over the long term. Myanmar, Mexico, India, the Philippines, Thailand, and Vietnam maintained efficiency scores below 0.5, whereas South Korea, Japan, China, and New Zealand maintained efficiency scores above 0.8. (3) More than one-third of countries exhibited declines in efficiency over time, and half were European countries. Less than one-third of countries maintained their efficiency, and less than one-third of countries gradually improved. (4) Approximately half of the countries’ efficiency scores were lower than the global average. The efficiency scores of the industrial sector exhibited a greater room for improvement on the input factors than did those of the agricultural sector. (5) Total factor energy efficiency analysis revealed that methane emissions and CO2 emissions have a similar level but large room for improvement across countries. Improving input factors in the production stage can ultimately mitigate inefficiencies in the climate change and natural disaster stages. There are still other important factors related to climate change, such as sea surface temperature, forest areas, or air pollution indicators, that could be considered in future research. The occurrence of global disasters could also be discussed in groups according to the region where the countries are located in the future.
[Display omitted]
•The dynamic parallel three-stage model was used to explore the efficiencies of the country's production, climate, and disaster stages.•The production stage included industrial and agricultural sector efficiencies.•Natural disasters caused by extreme weather events affect countries' sustainable development.•Improving input factors in the production stage can ultimately mitigate inefficiencies in climate and disaster stages. |
doi_str_mv | 10.1016/j.jenvman.2022.115401 |
format | Article |
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[Display omitted]
•The dynamic parallel three-stage model was used to explore the efficiencies of the country's production, climate, and disaster stages.•The production stage included industrial and agricultural sector efficiencies.•Natural disasters caused by extreme weather events affect countries' sustainable development.•Improving input factors in the production stage can ultimately mitigate inefficiencies in climate and disaster stages.</description><identifier>ISSN: 0301-4797</identifier><identifier>EISSN: 1095-8630</identifier><identifier>DOI: 10.1016/j.jenvman.2022.115401</identifier><identifier>PMID: 35660833</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Climate change ; CO2 ; Methane ; Modified dynamic parallel three-stage network data envelopment analysis (DEA) model ; Natural disaster ; Parallel production analysis ; Sustainability</subject><ispartof>Journal of environmental management, 2022-09, Vol.317, p.115401-115401, Article 115401</ispartof><rights>2022 Elsevier Ltd</rights><rights>Copyright © 2022 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-8965ca133a6e1074d3a476ca13b93581375f881dd5337a136779de5e18bad22b3</citedby><cites>FETCH-LOGICAL-c365t-8965ca133a6e1074d3a476ca13b93581375f881dd5337a136779de5e18bad22b3</cites><orcidid>0000-0001-7079-2443 ; 0000-0002-5610-2861</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jenvman.2022.115401$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27929,27930,46000</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35660833$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lu, Liang-Chun</creatorcontrib><creatorcontrib>Chiu, Shih-Yung</creatorcontrib><creatorcontrib>Chiu, Yung-ho</creatorcontrib><creatorcontrib>Chang, Tzu-Han</creatorcontrib><title>Sustainability efficiency of climate change and global disasters based on greenhouse gas emissions from the parallel production sectors – A modified dynamic parallel three-stage network DEA model</title><title>Journal of environmental management</title><addtitle>J Environ Manage</addtitle><description>This study employed dynamic three-stage network data envelopment analysis (DEA), considering parallel production in the agricultural and industrial sectors, to assess the impact of greenhouse gas emissions on the climate change and natural disaster stages. The results revealed the following: (1) The dynamic overall efficiencies of more countries are decreasing than are increasing. The seven countries with the poorest overall efficiency ranking (Myanmar, Vietnam, Thailand, Bangladesh, the Philippines, Pakistan, and India) are mostly located in Southeast Asia. (2) The number of countries that maintained low efficiency over the long term is greater than those that retained high efficiency over the long term. Myanmar, Mexico, India, the Philippines, Thailand, and Vietnam maintained efficiency scores below 0.5, whereas South Korea, Japan, China, and New Zealand maintained efficiency scores above 0.8. (3) More than one-third of countries exhibited declines in efficiency over time, and half were European countries. Less than one-third of countries maintained their efficiency, and less than one-third of countries gradually improved. (4) Approximately half of the countries’ efficiency scores were lower than the global average. The efficiency scores of the industrial sector exhibited a greater room for improvement on the input factors than did those of the agricultural sector. (5) Total factor energy efficiency analysis revealed that methane emissions and CO2 emissions have a similar level but large room for improvement across countries. Improving input factors in the production stage can ultimately mitigate inefficiencies in the climate change and natural disaster stages. There are still other important factors related to climate change, such as sea surface temperature, forest areas, or air pollution indicators, that could be considered in future research. The occurrence of global disasters could also be discussed in groups according to the region where the countries are located in the future.
[Display omitted]
•The dynamic parallel three-stage model was used to explore the efficiencies of the country's production, climate, and disaster stages.•The production stage included industrial and agricultural sector efficiencies.•Natural disasters caused by extreme weather events affect countries' sustainable development.•Improving input factors in the production stage can ultimately mitigate inefficiencies in climate and disaster stages.</description><subject>Climate change</subject><subject>CO2</subject><subject>Methane</subject><subject>Modified dynamic parallel three-stage network data envelopment analysis (DEA) model</subject><subject>Natural disaster</subject><subject>Parallel production analysis</subject><subject>Sustainability</subject><issn>0301-4797</issn><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFUcuOEzEQtBCIDQufAPKRywR7PLZnTmi1D0BaiQNwtjx2T-LgsYPtLMqNf9hv4kf4EpxNgCOnlrqrqru6EHpJyZISKt5slhsId7MOy5a07ZJS3hH6CC0oGXjTC0YeowVhhDadHOQZepbzhhDCWiqfojPGhSA9Ywv089MuF-2CHp13ZY9hmpxxEMwexwkb72ZdAJu1DivAOli88nHUHluXdS6QMh51BotjwKsEENZxlwGvdMYwu5xdDBlPKc64rAFvddLeg8fbFO3OlDrFGUyJVebXj3t8gedo3eSqnt0HPTvzj1LWVb6pt9Y7ApTvMX3FV9cPDPDP0ZNJ-wwvTvUcfbm5_nz5vrn9-O7D5cVtY5jgpekHwY2mjGkBlMjOMt1JceiMA-M9ZZJPfU-t5YzJ2hVSDhY40H7Utm1Hdo5eH3WrgW87yEVVkwa81wGqcdUKyfjQDe1QofwINSnmnGBS21SfmfaKEnVIUG3UKUF1SFAdE6y8V6cVu3EG-5f1J7IKeHsEQDV65yCp_BAYWJfqL5WN7j8rfgMDDrQ_</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Lu, Liang-Chun</creator><creator>Chiu, Shih-Yung</creator><creator>Chiu, Yung-ho</creator><creator>Chang, Tzu-Han</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7079-2443</orcidid><orcidid>https://orcid.org/0000-0002-5610-2861</orcidid></search><sort><creationdate>20220901</creationdate><title>Sustainability efficiency of climate change and global disasters based on greenhouse gas emissions from the parallel production sectors – A modified dynamic parallel three-stage network DEA model</title><author>Lu, Liang-Chun ; Chiu, Shih-Yung ; Chiu, Yung-ho ; Chang, Tzu-Han</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-8965ca133a6e1074d3a476ca13b93581375f881dd5337a136779de5e18bad22b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Climate change</topic><topic>CO2</topic><topic>Methane</topic><topic>Modified dynamic parallel three-stage network data envelopment analysis (DEA) model</topic><topic>Natural disaster</topic><topic>Parallel production analysis</topic><topic>Sustainability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Liang-Chun</creatorcontrib><creatorcontrib>Chiu, Shih-Yung</creatorcontrib><creatorcontrib>Chiu, Yung-ho</creatorcontrib><creatorcontrib>Chang, Tzu-Han</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Liang-Chun</au><au>Chiu, Shih-Yung</au><au>Chiu, Yung-ho</au><au>Chang, Tzu-Han</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sustainability efficiency of climate change and global disasters based on greenhouse gas emissions from the parallel production sectors – A modified dynamic parallel three-stage network DEA model</atitle><jtitle>Journal of environmental management</jtitle><addtitle>J Environ Manage</addtitle><date>2022-09-01</date><risdate>2022</risdate><volume>317</volume><spage>115401</spage><epage>115401</epage><pages>115401-115401</pages><artnum>115401</artnum><issn>0301-4797</issn><eissn>1095-8630</eissn><abstract>This study employed dynamic three-stage network data envelopment analysis (DEA), considering parallel production in the agricultural and industrial sectors, to assess the impact of greenhouse gas emissions on the climate change and natural disaster stages. The results revealed the following: (1) The dynamic overall efficiencies of more countries are decreasing than are increasing. The seven countries with the poorest overall efficiency ranking (Myanmar, Vietnam, Thailand, Bangladesh, the Philippines, Pakistan, and India) are mostly located in Southeast Asia. (2) The number of countries that maintained low efficiency over the long term is greater than those that retained high efficiency over the long term. Myanmar, Mexico, India, the Philippines, Thailand, and Vietnam maintained efficiency scores below 0.5, whereas South Korea, Japan, China, and New Zealand maintained efficiency scores above 0.8. (3) More than one-third of countries exhibited declines in efficiency over time, and half were European countries. Less than one-third of countries maintained their efficiency, and less than one-third of countries gradually improved. (4) Approximately half of the countries’ efficiency scores were lower than the global average. The efficiency scores of the industrial sector exhibited a greater room for improvement on the input factors than did those of the agricultural sector. (5) Total factor energy efficiency analysis revealed that methane emissions and CO2 emissions have a similar level but large room for improvement across countries. Improving input factors in the production stage can ultimately mitigate inefficiencies in the climate change and natural disaster stages. There are still other important factors related to climate change, such as sea surface temperature, forest areas, or air pollution indicators, that could be considered in future research. The occurrence of global disasters could also be discussed in groups according to the region where the countries are located in the future.
[Display omitted]
•The dynamic parallel three-stage model was used to explore the efficiencies of the country's production, climate, and disaster stages.•The production stage included industrial and agricultural sector efficiencies.•Natural disasters caused by extreme weather events affect countries' sustainable development.•Improving input factors in the production stage can ultimately mitigate inefficiencies in climate and disaster stages.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>35660833</pmid><doi>10.1016/j.jenvman.2022.115401</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-7079-2443</orcidid><orcidid>https://orcid.org/0000-0002-5610-2861</orcidid></addata></record> |
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subjects | Climate change CO2 Methane Modified dynamic parallel three-stage network data envelopment analysis (DEA) model Natural disaster Parallel production analysis Sustainability |
title | Sustainability efficiency of climate change and global disasters based on greenhouse gas emissions from the parallel production sectors – A modified dynamic parallel three-stage network DEA model |
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