Taking Differences in Institutional Quality into Account in Global Forest Modelling

11778 12 31893 2 45037 document 31893 Taking Differences in Institutional Quality into Account in Global Forest Modelling.pdf application/pdf f2e3a4913d022c246feaf71f5a508e73 MD5 833081 2016-01-19 13:56:38 https://pure.iiasa.ac.at/id/eprint/11778/1/Taking%20Differences%20in%20Institutional%20Quality%20into%20Account%20in%20Global%20Forest%20Modelling.pdf 11778 1 1 application/pdf text en public cc_by_nc_sa

Taking Differences in Institutional Quality into Account in Global Forest Modelling.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/31893 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/31893 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/31893 archive 2 disk0/00/01/17/78 2016-01-19 13:59:41 2023-06-14 13:23:50 2016-01-19 13:59:41 conference_item show 1 Wehkamp J. Pietsch S. 2054 0000-0001-6431-2212 Kraxner F. 7904 Reuter W. 8554 Fuß S. 8259 Gusti M. 97792 Koch N. Taking Differences in Institutional Quality into Account in Global Forest Modelling pub prog_esm Forest cover and land-use change models are commonly used for climate scenarios and provide policy advice. The IIASA Global Forest Model (G4M) compares the net present value of agriculture and forestry, and makes a land-use change decision, based on this comparison. Moving beyond this purely economic rationale, we aimed at understanding in how far integrating differences in environmental institutional quality, could allow improving the representation of forest cover change processes of the model. Through an econometric regression analysis, we identified the most significant out of a larger set of variables on environmental institutional quality and created a composite index. We then implemented the composite index into the model. Its components are: the internalization of environmental norms, the strength of institutions, the ability of the institutions to guarantee macroeconomic stability, the quality of the administration and the efficiency of the bureaucracy. Through the inclusion of the composite index, the model’s residual could be significantly reduced. The results suggest that future research should consider taking differences in environmental institutional quality into account to improve modeling of deforestation processes. Moreover, the implementation of the index into the model allows for the first time to create scenarios for institutional quality and its impact on forest cover. 2015-11 published 232 165 247 101 114 public poster Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa Laxenburg, Austria 11 -13 November, 2015 conference FALSE FALSE info:eu-repo/semantics/conferenceObject