Global environmental emissions estimate: Application of multiple imputation


Autoria(s): Miyama, Eriko; Managi, Shunsuke
Data(s)

2014

Resumo

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.

Identificador

http://eprints.qut.edu.au/84223/

Publicador

Springer

Relação

DOI:10.1007/s10018-014-0080-3

Miyama, Eriko & Managi, Shunsuke (2014) Global environmental emissions estimate: Application of multiple imputation. Environmental Economics and Policy Studies, 16(2), pp. 115-135.

Fonte

School of Economics & Finance

Palavras-Chave #140200 APPLIED ECONOMICS #Environmental Kuznets curve #Forecasting #Global emissions #Missing data #Multiple imputation
Tipo

Journal Article