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https://scholarbank.nus.edu.sg/handle/10635/27830
Title: | Developing countries and emission reduction commitments - Understanding the drivers of environmental impact | Authors: | RUCHIKA SALUJA | Keywords: | STIRPAT Model, IPAT, Time series analysis, Error Correction Model, Climate Change, | Issue Date: | 13-Jan-2008 | Citation: | RUCHIKA SALUJA (2008-01-13). Developing countries and emission reduction commitments - Understanding the drivers of environmental impact. ScholarBank@NUS Repository. | Abstract: | Most developing countries view participation in a global climate change treaty as being synonymous with drastic emission cuts. Despite the overwhelming scientific evidence for the link between anthropogenic sources and climate change impacts, there is still a limited understanding of the specific forces driving those impacts.Keeping in view the above, this study contributes in two waysi)Briefly discusses a plausible burden sharing arrangement - the per capita emissions approach - for an all encompasssing global climate change treaty such that negotiations are reduced to two manageable variables.ii)Conducts a country wise empirical analysis for analyzing the drivers of environmental impact, in a sample of 6 developing countries. Our assessment is informed by the well known stochastic reformulation of the IPAT identity, known as the STIRPAT modelThe per-capita emissions approach is modified for addressing the first objective.While addressing the second objective, the thesis undertakes a time-series analysis within the framework of the STIRPAT model to identify for variations. | URI: | http://scholarbank.nus.edu.sg/handle/10635/27830 |
Appears in Collections: | Master's Theses (Open) |
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Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
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01 SALUJA Ruchika-Cover_TOC_ALL_chapters_References.pdf | 435.17 kB | Adobe PDF | OPEN | None | View/Download | |
02 SALUJA Ruchika-Appendices_A_to_F.pdf | 121.93 kB | Adobe PDF | OPEN | None | View/Download | |
03 SALUJA Ruchika-Appendix G_All Data Sets.pdf | 79.47 kB | Adobe PDF | OPEN | None | View/Download |
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