Does directed technological change favor energy? Firm-level evidence from Portugal

Detalhes bibliográficos
Autor(a) principal: Zheng, H.
Data de Publicação: 2021
Outros Autores: Roseta-Palma, C., Ramalho, J. J. S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/27027
Resumo: Economic performance is closely related with energy consumption, the major part of which still comes from non-renewable sources. While endeavoring to promote renewable energy, policy makers are interested in technological change that also increases energy efficiency. However, both growth models of directed technological change and microeconomic theories regarding innovation suggest that technological change is not necessarily biased towards energy. In order to investigate directed technological change at the micro level, this paper applies stochastic frontier analysis to firm data for 32 economic subsectors, with respect to output produced with four inputs: capital, labor, electricity and fuel. Subsectors demonstrate different levels of technical inefficiency, which could be induced by capital deepening and higher share of financial income in total revenue. Output elasticity of labor is generally high among the subsectors, emphasizing labor as the main driver for economic growth. Output elasticity of capital is low overall, although a few subsectors enjoy better marginal returns. In most subsectors, technological change is biased the most towards labor; between electricity and fuel, technological change has favored fuel in more cases. We infer that the market size effect is likely to overwhelm others in deciding the direction of technological change. Thus, policy should include tools in addition to the energy price in order to induce technological change.
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spelling Does directed technological change favor energy? Firm-level evidence from PortugalDirected technological changeEnergyEconomic growthStochastic frontier analysisEconomic performance is closely related with energy consumption, the major part of which still comes from non-renewable sources. While endeavoring to promote renewable energy, policy makers are interested in technological change that also increases energy efficiency. However, both growth models of directed technological change and microeconomic theories regarding innovation suggest that technological change is not necessarily biased towards energy. In order to investigate directed technological change at the micro level, this paper applies stochastic frontier analysis to firm data for 32 economic subsectors, with respect to output produced with four inputs: capital, labor, electricity and fuel. Subsectors demonstrate different levels of technical inefficiency, which could be induced by capital deepening and higher share of financial income in total revenue. Output elasticity of labor is generally high among the subsectors, emphasizing labor as the main driver for economic growth. Output elasticity of capital is low overall, although a few subsectors enjoy better marginal returns. In most subsectors, technological change is biased the most towards labor; between electricity and fuel, technological change has favored fuel in more cases. We infer that the market size effect is likely to overwhelm others in deciding the direction of technological change. Thus, policy should include tools in addition to the energy price in order to induce technological change.Elsevier2023-03-31T00:00:00Z2021-01-01T00:00:00Z20212023-01-05T15:20:49Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/27027eng0140-988310.1016/j.eneco.2021.105248Zheng, H.Roseta-Palma, C.Ramalho, J. J. S.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:55:33Zoai:repositorio.iscte-iul.pt:10071/27027Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:28:17.711416Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Does directed technological change favor energy? Firm-level evidence from Portugal
title Does directed technological change favor energy? Firm-level evidence from Portugal
spellingShingle Does directed technological change favor energy? Firm-level evidence from Portugal
Zheng, H.
Directed technological change
Energy
Economic growth
Stochastic frontier analysis
title_short Does directed technological change favor energy? Firm-level evidence from Portugal
title_full Does directed technological change favor energy? Firm-level evidence from Portugal
title_fullStr Does directed technological change favor energy? Firm-level evidence from Portugal
title_full_unstemmed Does directed technological change favor energy? Firm-level evidence from Portugal
title_sort Does directed technological change favor energy? Firm-level evidence from Portugal
author Zheng, H.
author_facet Zheng, H.
Roseta-Palma, C.
Ramalho, J. J. S.
author_role author
author2 Roseta-Palma, C.
Ramalho, J. J. S.
author2_role author
author
dc.contributor.author.fl_str_mv Zheng, H.
Roseta-Palma, C.
Ramalho, J. J. S.
dc.subject.por.fl_str_mv Directed technological change
Energy
Economic growth
Stochastic frontier analysis
topic Directed technological change
Energy
Economic growth
Stochastic frontier analysis
description Economic performance is closely related with energy consumption, the major part of which still comes from non-renewable sources. While endeavoring to promote renewable energy, policy makers are interested in technological change that also increases energy efficiency. However, both growth models of directed technological change and microeconomic theories regarding innovation suggest that technological change is not necessarily biased towards energy. In order to investigate directed technological change at the micro level, this paper applies stochastic frontier analysis to firm data for 32 economic subsectors, with respect to output produced with four inputs: capital, labor, electricity and fuel. Subsectors demonstrate different levels of technical inefficiency, which could be induced by capital deepening and higher share of financial income in total revenue. Output elasticity of labor is generally high among the subsectors, emphasizing labor as the main driver for economic growth. Output elasticity of capital is low overall, although a few subsectors enjoy better marginal returns. In most subsectors, technological change is biased the most towards labor; between electricity and fuel, technological change has favored fuel in more cases. We infer that the market size effect is likely to overwhelm others in deciding the direction of technological change. Thus, policy should include tools in addition to the energy price in order to induce technological change.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01T00:00:00Z
2021
2023-03-31T00:00:00Z
2023-01-05T15:20:49Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/27027
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dc.relation.none.fl_str_mv 0140-9883
10.1016/j.eneco.2021.105248
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