Abstract
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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Notes
PM10 stands for particulate matter up to 10 μm in size.
BOD is an index to evaluate water quality.
If the country does not exist during the covered period because it is occupied by other countries, the country is excluded from the analysis until its year of independence. Thus, the dataset is unbalanced.
This method is a simple example to verify the missing mechanisms. More formal tests to determine the MCAR are introduced by Little (1988).
See Miyama and Managi (2014) for detailed result of the missing mechanism test.
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Acknowledgments
We are grateful to Hajime Katayama for his detailed and helpful comments and constructive criticism. The following financial support is acknowledged: S-11 from the Environment Research and Technology Development Fund and Environmental Economy Program, Ministry of the Environment of Japan and MEXT KAKENHI.
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Miyama, E., Managi, S. Global environmental emissions estimate: application of multiple imputation. Environ Econ Policy Stud 16, 115–135 (2014). https://doi.org/10.1007/s10018-014-0080-3
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DOI: https://doi.org/10.1007/s10018-014-0080-3