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Localized economic ...
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Aguilar Cabezas, Francisco XSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skogsekonomi,Department of Forest Economics
(author)
Localized economic contributions of renewable wood-based biopower generation
- Article/chapterEnglish2020
Publisher, publication year, extent ...
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Elsevier BV,2020
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Elsevier,2024
Numbers
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LIBRIS-ID:oai:slubar.slu.se:108914
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https://res.slu.se/id/publ/108914URI
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https://doi.org/10.1016/j.eneco.2020.104913DOI
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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We assessed the role of renewable wood-based biopower generation in supporting local economies by deriving multiplier effects from a sample of U.S. power plants representing 348.3 MW of installed capacity (1.2 million MWh of power generation for 2016) with annual expenditures of over US$117 million. Average annual employment, labor income, value-added, and gross output values associated with the generation of wood-based power were contrasted with those from power generated from coal and natural gas. Economic multiplier effects of localized operation and maintenance expenditures were derived following an input-output analysis. Results, expressed in 2017 US$. show the economic contribution of wood-based biopower was lower (US$123.96 per MWh) than power generated from coal (US$386.55 per MWh) and natural gas (US$989.79 per MW). However, wood-based biopower value-added localized multiplier effects were nearly 20% higher than coal-based power, at US$2.80 per dollar spent in operation and maintenance. Our findings suggest that, after considering sustainability thresholds for woody biomass availability, its expanded utilization could contribute between US$5.00 billion to US$22.00 billion in value-added to local economies across the US. (C) 2020 Elsevier B.V. All rights reserved.
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Sveriges lantbruksuniversitetInstitutionen för skogsekonomi
(creator_code:org_t)
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Sveriges lantbruksuniversitet
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In:Energy Economics: Elsevier BV910140-98831873-6181
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