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Sector CO2 and SOx emissions efficiency and investment: homogeneous vs heterogeneous estimates using the Italian NAMEA

  • Marin, Giovanni

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.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 24077.

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Date of creation: Jul 2010
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Handle: RePEc:pra:mprapa:24077
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  1. Marin, Giovanni & Mazzanti, Massimiliano, 2009. "The dynamics of delinking in industrial emissions: The role of productivity, trade and R&D," MPRA Paper 17536, University Library of Munich, Germany.
  2. Massimiliano Mazzanti & Anna Montini & Roberto Zoboli, 2008. "Environmental Kuznets Curves for Air Pollutant Emissions in Italy: Evidence from Environmental Accounts (NAMEA) Panel Data," Economic Systems Research, Taylor & Francis Journals, vol. 20(3), pages 277-301.
  3. Carrión-Flores, Carmen E. & Innes, Robert, 2010. "Environmental innovation and environmental performance," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 27-42, January.
  4. Marin, Giovanni & Mazzanti, Massimiliano, 2009. "Emissions Trends, Labour Productivity Dynamics and Time-Related Events - Sector Heterogeneous Analyses of Decoupling/Recoupling on a 1990-2006 NAMEA," MPRA Paper 17903, University Library of Munich, Germany.
  5. Cole, Matthew A. & Elliott, Robert J.R. & Shimamoto, Kenichi, 2005. "Industrial characteristics, environmental regulations and air pollution: an analysis of the UK manufacturing sector," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 121-143, July.
  6. Mazzanti, Massimiliano & Zoboli, Roberto, 2009. "Environmental efficiency and labour productivity: Trade-off or joint dynamics? A theoretical investigation and empirical evidence from Italy using NAMEA," Ecological Economics, Elsevier, vol. 68(4), pages 1182-1194, February.
  7. Cole, Matthew A. & Elliott, Robert J.R. & Wu, Shanshan, 2008. "Industrial activity and the environment in China: An industry-level analysis," China Economic Review, Elsevier, vol. 19(3), pages 393-408, September.
  8. David Popp & Richard G. Newell & Adam B. Jaffe, 2009. "Energy, the Environment, and Technological Change," NBER Working Papers 14832, National Bureau of Economic Research, Inc.
  9. David Popp, 2002. "Induced Innovation and Energy Prices," American Economic Review, American Economic Association, vol. 92(1), pages 160-180, March.
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