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Int Econ Econ Policy (2010) 7:343–356<br />

DOI 10.1007/s10368-010-0160-1<br />

ORIGINAL PAPER<br />

How to increase global <strong>resource</strong> productivity? Findings<br />

from modelling in the petrE project<br />

Christian Lutz<br />

Published online: 25 June 2010<br />

# Springer-Verlag 2010<br />

Abstract <strong>The</strong> analysis in the chapter is based on the extensive <strong>and</strong> disaggregated<br />

global GINFORS model that contains 50 countries <strong>and</strong> two regions <strong>and</strong> their<br />

bilateral trade relations, energy balances, material, macro-economic <strong>and</strong> structural<br />

data. <strong>The</strong> model is applied in the petrE project to analyze the impacts <strong>of</strong> major<br />

environmental tax reforms (ETR) <strong>and</strong> the EU ETS to reach the EU GHG reduction<br />

targets until 2020. <strong>The</strong> ETR includes a carbon tax for all non-ETS sectors <strong>and</strong> a<br />

material tax. Scenarios look at unilateral EU action <strong>and</strong> at <strong>international</strong> cooperation<br />

by all OECD countries <strong>and</strong> the major emerging economies. <strong>The</strong> chapter presents<br />

some <strong>of</strong> the modelling results. A major ETR in Europe could significantly reduce<br />

environmental pressures in Europe while creating additional jobs. Small negative<br />

GDP impacts are within the range <strong>of</strong> results <strong>of</strong> other studies. <strong>The</strong> results clearly<br />

demonstrate that only global action with substantial carbon prices may lead to an<br />

emission path still in line with the 2° target. But even if a far-reaching global climate<br />

agreement is reached later in 2010, global <strong>resource</strong> extraction will continue to<br />

increase without additional <strong>international</strong> measures.<br />

Keywords Global modelling . Environmental tax reform .<br />

Global <strong>resource</strong> productivity<br />

JEL Classification C53 . C63 . Q47 . Q52 . Q54<br />

Acknowledgements PetrE has been funded by the Anglo-German Foundation as part <strong>of</strong> its “Creating<br />

sustainable growth in Europe” research initiative. I would also like to thank two anonymous referees for<br />

helpful comments.<br />

C. Lutz (*)<br />

Institute for Economic Structures Research (GWS), Heinrichstr. 30, 49080 Osnabrueck, Germany<br />

e-mail: lutz@gws-os.com

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