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Environment-adjusted regional energy efficiency in Taiwan
This study applies the four-stage DEA procedure to calculate the energy efficiency of 23 regions in Taiwan from 1998 to 2007. After controlling for the effects of external environments, only Taipei City, Chiayi City, and Kaohsiung City are energy efficient. Note that Kaohsiung City reaches the effic...
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Published in: | Applied energy 2011-08, Vol.88 (8), p.2893-2899 |
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description | This study applies the four-stage DEA procedure to calculate the energy efficiency of 23 regions in Taiwan from 1998 to 2007. After controlling for the effects of external environments, only Taipei City, Chiayi City, and Kaohsiung City are energy efficient. Note that Kaohsiung City reaches the efficiency frontier due to the adjustment via partial environmental factors such as higher education attainment and transport vehicles. We also find a worsening trend for Taiwan’s energy efficiency. Not only is there a gap of energy efficiency between Taiwan’s metropolitan areas and the other regions, but the gap has also widened in recent years. Those inefficient counties should be given priority and the savings potential. Except for road density, the evidence indicates that each environmental factor has partial incremental effects on input slacks. As more cars and motorcycles are unfavorable externalities affecting partial energy efficiency, the central government should help local governments retire inefficient old motor vehicles, encourage energy-saving vehicle models, and provide convenient mass transportation systems. Besides, people with higher education cause industrial energy inefficient in Taiwan. The conscious of effective energy saving is necessary to schools, communities, and employee accordingly. |
doi_str_mv | 10.1016/j.apenergy.2011.01.068 |
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After controlling for the effects of external environments, only Taipei City, Chiayi City, and Kaohsiung City are energy efficient. Note that Kaohsiung City reaches the efficiency frontier due to the adjustment via partial environmental factors such as higher education attainment and transport vehicles. We also find a worsening trend for Taiwan’s energy efficiency. Not only is there a gap of energy efficiency between Taiwan’s metropolitan areas and the other regions, but the gap has also widened in recent years. Those inefficient counties should be given priority and the savings potential. Except for road density, the evidence indicates that each environmental factor has partial incremental effects on input slacks. As more cars and motorcycles are unfavorable externalities affecting partial energy efficiency, the central government should help local governments retire inefficient old motor vehicles, encourage energy-saving vehicle models, and provide convenient mass transportation systems. Besides, people with higher education cause industrial energy inefficient in Taiwan. The conscious of effective energy saving is necessary to schools, communities, and employee accordingly.</description><identifier>ISSN: 0306-2619</identifier><identifier>EISSN: 1872-9118</identifier><identifier>DOI: 10.1016/j.apenergy.2011.01.068</identifier><identifier>CODEN: APENDX</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Automobiles ; Automotive engineering ; Computational efficiency ; Computing time ; Data envelopment analysis (DEA) ; Data envelopment analysis (DEA) Regional energy efficiency Environment-adjusted efficiency ; Density ; Economic data ; Education ; efficiency ; Energy ; energy conservation ; Energy economics ; energy efficiency ; Environment-adjusted efficiency ; environmental factors ; Exact sciences and technology ; General, economic and professional studies ; higher education ; local government ; Mathematical models ; Methodology. 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After controlling for the effects of external environments, only Taipei City, Chiayi City, and Kaohsiung City are energy efficient. Note that Kaohsiung City reaches the efficiency frontier due to the adjustment via partial environmental factors such as higher education attainment and transport vehicles. We also find a worsening trend for Taiwan’s energy efficiency. Not only is there a gap of energy efficiency between Taiwan’s metropolitan areas and the other regions, but the gap has also widened in recent years. Those inefficient counties should be given priority and the savings potential. Except for road density, the evidence indicates that each environmental factor has partial incremental effects on input slacks. As more cars and motorcycles are unfavorable externalities affecting partial energy efficiency, the central government should help local governments retire inefficient old motor vehicles, encourage energy-saving vehicle models, and provide convenient mass transportation systems. Besides, people with higher education cause industrial energy inefficient in Taiwan. The conscious of effective energy saving is necessary to schools, communities, and employee accordingly.</description><subject>Applied sciences</subject><subject>Automobiles</subject><subject>Automotive engineering</subject><subject>Computational efficiency</subject><subject>Computing time</subject><subject>Data envelopment analysis (DEA)</subject><subject>Data envelopment analysis (DEA) Regional energy efficiency Environment-adjusted efficiency</subject><subject>Density</subject><subject>Economic data</subject><subject>Education</subject><subject>efficiency</subject><subject>Energy</subject><subject>energy conservation</subject><subject>Energy economics</subject><subject>energy efficiency</subject><subject>Environment-adjusted efficiency</subject><subject>environmental factors</subject><subject>Exact sciences and technology</subject><subject>General, economic and professional studies</subject><subject>higher education</subject><subject>local government</subject><subject>Mathematical models</subject><subject>Methodology. Modelling</subject><subject>Motorcycles</subject><subject>people</subject><subject>Regional energy efficiency</subject><subject>schools</subject><subject>Taiwan</subject><subject>transportation</subject><subject>vehicles (equipment)</subject><issn>0306-2619</issn><issn>1872-9118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqFkcGO0zAQhi0EEqXwCpALgkuKx05s5wZaLbtIlTiwe7amzqS4Sp1gp0V9e5zNskewZsbS6Pt_2TOMvQW-AQ7q02GDIwWK-8tGcIANz6HMM7YCo0XZAJjnbMUlV6VQ0Lxkr1I6cM4FCL5izXU4-ziEI4WpxPZwShO1RaS9HwL2xeJbUNd55ym4S-FDcYf-N4bX7EWHfaI3j_ea3X-9vru6Lbffb75dfdmWruY8e7qd0Vq1QhipGmyd66SAmoRCbkAKs5Ni5xxgZzQK4m1NpqJG78AZKaGVa_Zh8R3j8OtEabJHnxz1PQYaTskaXYGplawy-fGfJGitQZgq-66ZWlAXh5QidXaM_ojxYoHbear2YP9O1c5TtTyHMlm4XYSRRnJPKiLCcebt2Uo0JpdLzgelRD_3co5zyzTS5tLYn9Mx271_fDImh30XMTifnmxFxRUI0WTu3cJ1OFjcx8zc_8juis-nljwTnxeC8i7OnqJNDxuj1kdyk20H_7-__QE7-bLu</recordid><startdate>20110801</startdate><enddate>20110801</enddate><creator>Hu, Jin-Li</creator><creator>Lio, Mon-Chi</creator><creator>Yeh, Fang-Yu</creator><creator>Lin, Cheng-Hsun</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>7TA</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>JG9</scope><scope>7ST</scope><scope>7U6</scope><scope>SOI</scope></search><sort><creationdate>20110801</creationdate><title>Environment-adjusted regional energy efficiency in Taiwan</title><author>Hu, Jin-Li ; Lio, Mon-Chi ; Yeh, Fang-Yu ; Lin, Cheng-Hsun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c500t-acb8776d228369adccf3215e26a081328b32bcc1af87a2e0d5e84e97b1c8331d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied sciences</topic><topic>Automobiles</topic><topic>Automotive engineering</topic><topic>Computational efficiency</topic><topic>Computing time</topic><topic>Data envelopment analysis (DEA)</topic><topic>Data envelopment analysis (DEA) Regional energy efficiency Environment-adjusted efficiency</topic><topic>Density</topic><topic>Economic data</topic><topic>Education</topic><topic>efficiency</topic><topic>Energy</topic><topic>energy conservation</topic><topic>Energy economics</topic><topic>energy efficiency</topic><topic>Environment-adjusted efficiency</topic><topic>environmental factors</topic><topic>Exact sciences and technology</topic><topic>General, economic and professional studies</topic><topic>higher education</topic><topic>local government</topic><topic>Mathematical models</topic><topic>Methodology. Modelling</topic><topic>Motorcycles</topic><topic>people</topic><topic>Regional energy efficiency</topic><topic>schools</topic><topic>Taiwan</topic><topic>transportation</topic><topic>vehicles (equipment)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Jin-Li</creatorcontrib><creatorcontrib>Lio, Mon-Chi</creatorcontrib><creatorcontrib>Yeh, Fang-Yu</creatorcontrib><creatorcontrib>Lin, Cheng-Hsun</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Materials Business File</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Applied energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Jin-Li</au><au>Lio, Mon-Chi</au><au>Yeh, Fang-Yu</au><au>Lin, Cheng-Hsun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Environment-adjusted regional energy efficiency in Taiwan</atitle><jtitle>Applied energy</jtitle><date>2011-08-01</date><risdate>2011</risdate><volume>88</volume><issue>8</issue><spage>2893</spage><epage>2899</epage><pages>2893-2899</pages><issn>0306-2619</issn><eissn>1872-9118</eissn><coden>APENDX</coden><abstract>This study applies the four-stage DEA procedure to calculate the energy efficiency of 23 regions in Taiwan from 1998 to 2007. After controlling for the effects of external environments, only Taipei City, Chiayi City, and Kaohsiung City are energy efficient. Note that Kaohsiung City reaches the efficiency frontier due to the adjustment via partial environmental factors such as higher education attainment and transport vehicles. We also find a worsening trend for Taiwan’s energy efficiency. Not only is there a gap of energy efficiency between Taiwan’s metropolitan areas and the other regions, but the gap has also widened in recent years. Those inefficient counties should be given priority and the savings potential. Except for road density, the evidence indicates that each environmental factor has partial incremental effects on input slacks. As more cars and motorcycles are unfavorable externalities affecting partial energy efficiency, the central government should help local governments retire inefficient old motor vehicles, encourage energy-saving vehicle models, and provide convenient mass transportation systems. Besides, people with higher education cause industrial energy inefficient in Taiwan. The conscious of effective energy saving is necessary to schools, communities, and employee accordingly.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.apenergy.2011.01.068</doi><tpages>7</tpages></addata></record> |
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subjects | Applied sciences Automobiles Automotive engineering Computational efficiency Computing time Data envelopment analysis (DEA) Data envelopment analysis (DEA) Regional energy efficiency Environment-adjusted efficiency Density Economic data Education efficiency Energy energy conservation Energy economics energy efficiency Environment-adjusted efficiency environmental factors Exact sciences and technology General, economic and professional studies higher education local government Mathematical models Methodology. Modelling Motorcycles people Regional energy efficiency schools Taiwan transportation vehicles (equipment) |
title | Environment-adjusted regional energy efficiency in Taiwan |
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