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https://ptsldigital.ukm.my/jspui/handle/123456789/520393Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Mohd Nizam Mohd Said, Prof. Dr. | - |
| dc.contributor.author | Asif Raihan (P87724) | - |
| dc.date.accessioned | 2023-10-18T03:25:26Z | - |
| dc.date.available | 2023-10-18T03:25:26Z | - |
| dc.date.issued | 2020-07-22 | - |
| dc.identifier.other | ukmvital:118768 | - |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/520393 | - |
| dc.description | Increase of greenhouse gases (GHG) emissions which lead to global climate change is generally dominated by carbon dioxide (CO2) emitted from burning of fossil fuel and deforestation. Forests absorb the atmospheric CO2 and store it in tree biomass. Forestry sector of Malaysia could play a potential role by reducing GHG emissions through forest carbon sequestration that helps to reduce the negative impacts of global climate change. Thus, this research aims to analyse the economic assessment of sustainable forest management practices and climate change mitigation in Malaysia. Dynamic ordinary least squared (DOLS) approach was used to measure the relationship and dynamic impacts of economic growth and forested area on carbon dioxide (CO2) emissions in Malaysia over the period of 1990 to 2016. The economic valuation of forest carbon sequestration based on the price of removing per tonne CO2eq in Ringgit Malaysia (RM) was taken into consideration from 1990 to 2050. Additionally, two meta-analyses were conducted to justify the estimated forest carbon and its economic value. Moreover, this study evaluates a cost-benefit analysis (CBA) of climate change mitigation measures in the forestry sector of Malaysia for 25, 50 and 75 years by considering discounted rates of 0% and 3%. The results of DOLS estimation indicate that the coefficient of economic growth is positive and significant with CO2 emissions, meaning that RM1 million increase in GDP is associated with an increase in CO2 emissions of 0.931 kilo tonnes. Instead, the long-run coefficient of forested area was found negative and significant, which implies that declining 1 hectare of forested area i.e. deforestation has an impact of 3 kilo tonnes of CO2 emissions rise in Malaysia. The study findings reveal that economic growth and deforested area have an adverse effect on Malaysia€™s carbon emissions where GDP growth fosters carbon emissions at a faster rate. However, average forest carbon in Malaysia estimated as 159.23 tonnes per hectare where the contribution of aboveground biomass, belowground biomass and litter are 126.33 tonnes per hectare (79.34%), 30.38 tonnes per hectare (19.08%) and 2.55 tonnes per hectare (1.6%), respectively. The present forest carbon sequestration rate is around 1.95 tonnes carbon per hectare per year. The economic value of carbon stored in forest biomass estimated as almost RM218 billion in 2018, and the projected economic value in 2050 is nearly RM170 billion. The carbon value per hectare forested area is estimated as RM12,261 in 2018 and it would be approximately RM10,038 in 2050. The outcome from the CBA indicates natural regeneration as the most cost-effective mitigation measure followed by forest conservation and afforestation. Finally, the empirical results of this study would be useful for policy implementations of climate change mitigation and sustainable forest management in Malaysia.,Ph.D. | - |
| dc.language.iso | eng | - |
| dc.publisher | UKM, Bangi | - |
| dc.relation | Institut Perubahan Iklim (IPI) / Institute of Climate Change | - |
| dc.rights | UKM | - |
| dc.subject | Forests and forestry -- Malaysia | - |
| dc.subject | Forest management -- Malaysia | - |
| dc.subject | Forests and forestry -- Valuation | - |
| dc.subject | Forests and forestry -- Valuation -- Malaysia | - |
| dc.subject | Universiti Kebangsaan Malaysia -- Dissertations | - |
| dc.subject | Dissertations, Academic -- Malaysia | - |
| dc.title | Economic assessment of sustainable forest management and climate change mitigation in Peninsular Malaysia | - |
| dc.type | Theses | - |
| dc.format.pages | 216 | - |
| dc.identifier.callno | SD235.M37R335 2020 tesis | - |
| dc.identifier.barcode | 004635(2020) | - |
| Appears in Collections: | Institute of Climate Change / Institut Perubahan Iklim | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_118768+SOURCE1+SOURCE1.0.PDF Restricted Access | 2.73 MB | Adobe PDF |  View/Open |
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