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Doctoral Thesis
DOI
10.11606/T.3.2017.tde-07112017-145017
Document
Author
Full name
Bruno Pontes Costanzo
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2017
Supervisor
Committee
Sánchez, Luis Enrique (President)
Coutinho, Miguel Sala
Duarte, Carla Grigoletto
Fonseca, Alberto de Freitas Castro
Gallardo, Amarilis Lucia Casteli Figueiredo
Title in English
Innovation in impact assessment: a bibliometric review and a practical test.
Keywords in English
Effectiveness
Environmental impact assessment
Innovation
Mining
Systems
Theoretical basis
Abstract in English
A bibliometric study was carried out to identify the main innovations and shortcomings pointed out by scientific research on impact assessment (IA). Out of 1,547 articles published between 1990 and 2015 in two leading journals, IAPA and EIAR, 381 were reviewed for their contents related to new methodological approaches or proposals for improving practice. It was found that innovations and gaps are predominantly treated disregarding IA's theoretical basis. We suggest that IA core values shall always guide innovation. It is proposed that the theoretical boundaries of an IA System shall be previously stablished when discussing innovation. The information systematized through a bibliometric approach allowed to propose a framework that correlates IA theoretical foundations with innovation options in a vertical integration way.
Title in Portuguese
Inovação em avaliação de impactos: revisão bibliométrica e teste prático.
Keywords in Portuguese
Impactos ambientais (Avaliação)
Mineração
Abstract in Portuguese
Um estudo bibliométrico foi desenvolvido para identificar as principais inovações e lacunas apontadas pela pesquisa científica em avaliação de impactos (AI). Dos 1.547 artigos publicados entre 1990 e 2015 nos dois periódicos de maior relevância na área, o IAPA e o EIAR, 381 artigos tiveram seus conteúdos analisados em relação a novas abordagens metodológicas ou propostas para melhoria da prática. Verificou-se que as inovações e lacunas são tratadas predominantemente desconsiderando a base teórica de AI. Sugerimos que os valores fundamentais da avaliação de impactos devem sempre orientar a inovação. Propõe-se que as fronteiras teóricas de um Sistema AI sejam estabelecidas previamente ao se discutir a inovação. A informação sistematizada através de uma abordagem bibliométrica permitiu propor uma estrutura que correlaciona os fundamentos teóricos da avaliação de impactos com as opções de inovação.
 
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Publishing Date
2017-11-09
 
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