Global environmental emissions estimate: Application of multiple imputation
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Description
A new database called the World Resource Table is constructed in this study. Missing values are known to produce complications when constructing global databases. This study provides a solution for applying multiple imputation techniques and estimates the global environmental Kuznets curve (EKC) for CO2, SO2, PM10, and BOD. Policy implications for each type of emission are derived based on the results of the EKC using WRI. Finally, we predicted the future emissions trend and regional share of CO2 emissions. We found that East Asia and South Asia will be increasing their emissions share while other major CO2 emitters will still produce large shares of the total global emissions.
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| ID Code: | 84223 |
|---|---|
| Item Type: | Contribution to Journal (Journal Article) |
| Refereed: | Yes |
| Measurements or Duration: | 21 pages |
| Keywords: | Environmental Kuznets curve, Forecasting, Global emissions, Missing data, Multiple imputation |
| DOI: | 10.1007/s10018-014-0080-3 |
| ISSN: | 1432-847X |
| Pure ID: | 32747581 |
| Divisions: | Past > QUT Faculties & Divisions > QUT Business School Current > Schools > School of Economics & Finance |
| Copyright Owner: | Consult author(s) regarding copyright matters |
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
| Deposited On: | 17 May 2015 23:55 |
| Last Modified: | 02 Apr 2024 22:32 |
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