2013
DOI: 10.4236/ti.2013.44025
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Blue Economy Innovation Impact Assessment with the GMR-Europe Model

Abstract: This paper introduces and applies a model system that is suitable for the impact assessment of Blue Economy innovations. Our contribution to the literature is threefold. First, we build a multi-sector computable general equilibrium (CGE) model, which provides the theoretical frame for studying the economic impacts of using waste as a production input. Second, we create an empirical methodology through which new technologies of Blue Economy can be concretely accounted for in regional input-output tables. Since … Show more

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Cited by 4 publications
(2 citation statements)
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“…Manufacturing and agriculture are noninformation-intensive industries with low research costs, limited scalability, limited user variety and little information asymmetry (Parker et al, 2016). Increased total factor productivity in particular industries can lower prices and raise demand, keeping firms competitive (Varga et al, 2013). A robust competitive environment will also encourage new firm development and job creation.…”
Section: Digital Platform Economy Indexmentioning
confidence: 99%
“…Manufacturing and agriculture are noninformation-intensive industries with low research costs, limited scalability, limited user variety and little information asymmetry (Parker et al, 2016). Increased total factor productivity in particular industries can lower prices and raise demand, keeping firms competitive (Varga et al, 2013). A robust competitive environment will also encourage new firm development and job creation.…”
Section: Digital Platform Economy Indexmentioning
confidence: 99%
“…They studied the capital-labor ratio besides the population growth situation. However, Pekár et al (2013) [18] applied the maximizing of Omega function to select the portfolio while economic impact for the using the waste as a production input through the blue economic has been proposed by Varga et al (2013) [19]. This seems to be analogue to the RE support policy.…”
Section: Cost Analysismentioning
confidence: 99%