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| Cainelli, Giulio; Mazzanti, Massimiliano; Zoboli, Roberto. |
| This paper investigates the empirical link between emission intensity and economic growth, using a very large data set of 61,219 Italian manufacturing firms over the period 2000-2004. As a measure of lagged environmental performance (efficiency) at firm level we exploit NAMEA sector for CO2, NOx, SOx data over 1990-1999. The paper tests the extent to which (past) environmental efficiency/intensity, which is driven by structural features and firm strategic actions, including responses to policies, influences firms growth. Our results show, first, a typical trade off generally appearing for the three core environmental emissions we analyse: lower environmentally efficiency in the recent past allows higher degrees of freedom to firms and relax the constraints... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Firm growth; Manufacturing; Emission intensity; Economic performance; Environmental performance; Environmental Economics and Policy; C23; D21; O32; Q55. |
| Ano: 2008 |
URL: http://purl.umn.edu/46656 |
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| Molina Benavides,Raúl Andrés; Sánchez Guerrero,Hugo; Campos Gaona,Rómulo; Atzori,Alberto Stanislao; Morales,Juan David. |
| Abstract The contribution of Colombia to global emissions of greenhouse gases (GHGs) is low (0.37%); from this percentage, 38% is attributed to agriculture. There are few studies on GHGs emissions at the regional level for agriculture. Therefore, the aim of this research is to estimate dynamically GHG and carbon footprint produced by cattle in the department of Valle del Cauca, Colombia. GHG estimates were established as follows: Tier II of IPCC methodology (2006), and population trends, which were simulated using dynamic system. According to the departmental livestock inventory in recent years (2009-2015), average emissions were 673 million of CO2eq. year-1, with emissions intensity (EI) of 5.58 kgCO2eq.kg.milk-1 and 3.54 kgCO2eq.kgmeat-1. Simulating the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Allocation factor; Emission factor; Emission intensity; Livestock; System dynamic. |
| Ano: 2017 |
URL: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-28122017000300422 |
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