Topics (10) View all

Skills (11)

Research experience

  • Feb 2011–
    Jul 2011
    Research: Visiting research scholar
    University of California, Berkeley · Department of Economics
    USA · Berkeley

Education

  • Mar 2009–
    Jun 2012
    IMT Institute for advanced studies
    PhD
    Italy · Lucca
  • Oct 2003–
    Dec 2008
    Università di Ferrara
    MSc (Laurea Magistrale) in Economics
    Italy · Ferrara

Other

Publications (9) View all

  • Source
    Article: Linking NAMEA and Input output for 'consumption vs. production perspective' analyses Evidence on emission efficiency and aggregation biases using the Italian and Spanish environmental accounts
    [show abstract] [hide abstract]
    ABSTRACT: We integrate input output and NAMEA tables for Spain and Italy in 1995, 2000 and 2005, in order to address the hot policy issue of sustainable consumption and production. A comparison of production and consump-tion perspectives may have relevant policy implications. We deal with the domestic technology assumption and primarily the aggregation bias that may result when calculating indirect emission using different sector aggregations in the analyses (e.g. 16, 30, 50). Extended Input Output Analysis provides analyses of the emis-sions embodied in domestic consumption and domestic production by considering the structure of interme-diate inputs and environmental efficiency in each production sector. Our empirical findings show that different sectoral aggregation significantly biases the amount of emissions for the consumption perspective, though differently in the two countries. Italy surprisingly show consumption/production ratios around or lower than one, but in line with some major work at EU level. Our results thus suggest that special attention must be paid when interpreting the EE-IOA of country estimated amounts of embodied emissions, both in do-mestic final demand and those directly associated with the production sectors when the sectoral aggregation level has a low definition as considered in some recent similar studies.
    Ecological Economics 01/2012; · 2.71 Impact Factor
  • Source
    Article: Do Eco-Innovations Harm Productivity Growth through Crowding Out? * Results of an Extended CDM Model for Italy
    Giovanni Marin
    [show abstract] [hide abstract]
    ABSTRACT: This paper discusses the results for Italy of a CDM model (Crepon et al, 1998) further extended with the objective of evaluating drivers and productivity effects of environmental innovations. The particular nature of environmental innovations, especially as regards the need of government intervention to create market opportunities, is likely to affect the way through which they are pursued (innovation equation within the CDM model) and their effect on productivity (productivity equation). Here I test two main hypothesis: (i) to what extent polluting firms rely on own innovations to improve their environmental performance? (ii) do the pursue of environmental innovations reduce the likelihood of obtaining other profitable innovations (crowding out)? Results, based on administrative data (AIDA by Bureau van Dijk and patent data from PATSTAT) show that innovation efforts of polluting firms and sectors is significantly biased towards environmental innovations and that environmental innovations tend to crowd out other more profitable (at least in the short run) innovations.
    EIC Working Papers (IMT Lucca). 01/2012;
  • Source
    Article: Sector CO2 and SOx emissions efficiency and investment: homogeneous vs heterogeneous estimates using the Italian NAMEA
    Giovanni Marin
    [show abstract] [hide abstract]
    ABSTRACT: The relationships between emissions ad economic drivers differ substantially both across countries and across sectors. In this paper I investigate cross-sector heterogeneity of emissions (CO2 and SOx) / investments relationships of Italian branches for the period 1990-2006 by using the Italian NAMEA (National Accounting Matrix including Environmental Accounts). The ‘environmental’ direction of investments in different types of capital goods is crucial in the prediction of future patterns of environmental efficiency due to the persistence of the choices regarding the features of the capital stock. Within this relationship, the role of variations in prices of energy fuels and in environmental taxes is considered to identify relevance and the direction of the technical changes induced by prices and taxes. I compare homogeneous estimates (FE) with heterogeneous estimates (SUR): homogeneity of slopes across branches is always rejected (aggregation bias). Furthermore, results differ substantially between CO2 and SOx, due to different environmental and economic features of the two types of emissions. Results show a relevant role of economic forces (investments) in explaining CO2 dynamics while SOx trends are determined to higher extent by exogenous events. The potential role of ICTs in promoting more environmental efficient production processes has not been exploited yet by Italian manufacturing sectors.
    University Library of Munich, Germany, MPRA Paper. 01/2010;
  • Source
    Article: The evolution of environmental and labor productivity dynamics
    Giovanni Marin, Massimiliano Mazzanti
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    ABSTRACT: This paper provides new empirical evidence on delinking in income–environment dynamic relationships for CO2 and air pollutants at the sector level. A panel dataset based on the Italian NAMEA (National Accounting Matrix including Environmental Accounts) over 1990–2007 is analyzed, focusing on both emissions efficiency (EKC model) and total emissions (IPAT model). Results show that, looking at sector evidence, both decoupling and also eventually re-coupling trends could emerge along the path of economic development. The overall performance on greenhouse gases, here CO2, is not compliant with Kyoto targets. SOx and NOx show decreasing patterns, though the shape is affected by some outlier sectors with regard to joint emission-productivity dynamics. Services tend to present stronger delinking patterns across emissions than manufacturing. Trade expansion validates the pollution haven in some cases, but also shows negative signs when only EU15 trade is considered. This may due to technology spillovers and a positive ‘race to the top’ rather than the bottom among EU15 trade partners. General R&D expenditure shows weak correlation with emissions efficiency. SUR estimators (Seemingly Unrelated Regressions) suggest that, as regards manufacturing, the slope varies across sectors. Further research should be directed towards deeper investigation of trade relationship at the sector level and increased research into and efforts to produce specific sectoral data on ‘environmental innovations’. KeywordsNAMEA-Trade openness-Labor productivity-STIRPAT-SUR-Delinking-Structural breaks JEL ClassificationC23-O4-Q55-Q56
    Journal of Evolutionary Economics 01/2009; · 1.00 Impact Factor
  • Article: Valutazione economica della biodiversità marina e costiera nel Nord Adriatico: situazione socio-economica dell’area considerata e trasferimento del beneficio [Economic valuation of marine and co
    Giovanni Marin
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    ABSTRACT: This report assess the monetary valuation of non-use values of marine and coastal biodiversity in North Adriatic Sea by using the technique of the benefit transfer. In addition to non-use values, it is possible to infer to use values through the analysis of economic activities and phenomena linked to marine and coastal biodiversity.
    University Library of Munich, Germany, MPRA Paper. 01/2009;

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