Environmental efficiency of energy, materials, and emissions.
This study estimates the environmental efficiency of international listed firms in 10 worldwide sectors from 2007 to 2013 by applying an order-m method, a non-parametric approach based on free disposal hull with subsampling bootstrapping. Using a conventional output of gross profit and two conventio...
| Publicado en: | Journal of Environmental Management Vol. 161; pp. 206 - 219 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Academic Press Inc.
Sep2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=109126080&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 109126080 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Sep2015 vid: 161 pid: 735 pub: Academic Press Inc. artinfo: ui: 109126080 10.1016/j.jenvman.2015.06.054 ppf: 206 ppct: 13 formats: tig: atl: Environmental efficiency of energy, materials, and emissions. aug: au: Yagi, Michiyuki Fujii, Hidemichi Hoang, Vincent Managi, Shunsuke affil: Interfaculty Initiative in the Social Sciences, Kobe University, Japan Graduate School of Fisheries Science and Environmental Studies, Nagasaki University, Japan School of Economics and Finance, QUT Business School, Queensland University of Technology, Australia Department of Urban and Environmental Engineering, School of Engineering, Kyushu University, Japan Research Institute of Economy, Trade and Industry, 1-3-1, Kasumigaseki, Chiyoda-ku, Tokyo, 100-8901, Japan su: Environmental impact analysis Statistical bootstrapping Electric utilities Approximation theory Linear programming sug: subj: Environmental impact analysis Nuclear Electric Power Generation Solar Electric Power Generation Wind Electric Power Generation Geothermal Electric Power Generation Other Electric Power Generation Electric Bulk Power Transmission and Control Electric Power Distribution Fossil Fuel Electric Power Generation Hydroelectric Power Generation Biomass Electric Power Generation Statistical bootstrapping Electric utilities Approximation theory Linear programming keyword: C14 D24 Data envelopment analysis Environmental efficiency Free disposal hull Q50 Shadow price C14 D24 Data envelopment analysis Environmental efficiency Free disposal hull Q50 Shadow price ab: This study estimates the environmental efficiency of international listed firms in 10 worldwide sectors from 2007 to 2013 by applying an order-m method, a non-parametric approach based on free disposal hull with subsampling bootstrapping. Using a conventional output of gross profit and two conventional inputs of labor and capital, this study examines the order-m environmental efficiency accounting for the presence of each of 10 undesirable inputs/outputs and measures the shadow prices of each undesirable input and output. The results show that there is greater potential for the reduction of undesirable inputs rather than bad outputs. On average, total energy, electricity, or water usage has the potential to be reduced by 50%. The median shadow prices of undesirable inputs, however, are much higher than the surveyed representative market prices. Approximately 10% of the firms in the sample appear to be potential sellers or production reducers in terms of undesirable inputs/outputs, which implies that the price of each item at the current level has little impact on most of the firms. Moreover, this study shows that the environmental, social, and governance activities of a firm do not considerably affect environmental efficiency. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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