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Brage NMBU
Master thesis . 2019
Data sources: Brage NMBU
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Estimating global demand for coniferous sawnwood taking uncertain variables into account

Authors: Skjerstad, Svein Harald Frøberg;

Estimating global demand for coniferous sawnwood taking uncertain variables into account

Abstract

This thesis aims at providing new estimates regarding the global demand for coniferous sawnwood. Individual and representative elasticities of demand for the sample of 92 countries that represented 97 % of the global coniferous sawnwood demand in 2015 were estimated using econometric methods. Both the availability and the quality of data impose challenges with obtaining reliable results. The estimates from the panel data regressions seem more reliable than those from the country-individual regressions. These can be used as proxies for country-specific price and income elasticities of demand and add updated estimates to the limited amount of literature on the subject. According to a conventional demand model applied on the currently available data, elasticities of demand vary greatly among countries and within regions. The results are thoroughly evaluated with regards to data quality and stationarity. Compared to the results found in the previous literature, the absolute value of the elasticities of demand from this study in general are higher. The obtained elasticities were applied to project future demand for coniferous sawnwood assuming constant sawnwood prices using the recently developed Shared Socioeconomic Pathways scenarios from the Intergovernmental Panel on Climate Change. The future rate of the global economic growth will have significant impacts on the demand for sawnwood.

Denne oppgaven har som mål å gi nye estimater angående etterspørselen etter trelast av bartrær. Individuelle og representative elastisiteter for etterspørsel for hvert av utvalgets 92 land, som utgjorde 97% av etterspurt volum i 2015, ble estimert med økonometriske metoder. Kvaliteten og tilgjengeligheten av data gjør det utfordrende å oppnå troverdige resultater. Estimatene fra de longitudinelle regresjonene virker mer troverdige enn de individuelle tidsserieregresjonene. Disse kan brukes som representative pris- og inntektselastisiteter for etterspørsel for de ulike landene og bidra med en oppdatering av estimatene i foreliggende litteratur om temaet. Basert på en konvensjonell etterspørselsfunksjon og tilgjengelig data varierer elastisitetene for etterspørsel mellom land og innen regioner bestående av flere land. Resultatene ble grundig evaluert med hensyn til datakvalitet og hvorvidt de stammer fra stasjonære prosesser. Sammenlignet med foreliggende litteratur er de absolutte verdiene av elastisitetene for etterspørsel generelt høyere. Fremtidig global etterspørsel med priser holdt konstant er estimert med bruk av nylig utviklede SSP-scenarioer fra IPCC og inntektselastisitetene beregnet i oppgaven. Resultatet viser at fremtidig økonomisk vekst vil påvirke etterspørselen etter trelast betydelig.

M-SF

Country
Norway
Related Organizations
Keywords

FAOSTAT, VDP::Mathematics and natural science: 400, Panel data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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