Miyama, Eriko and Managi, Shunsuke (2014): Global Environmental Emissions Estimate: Application of Multiple Imputation. Forthcoming in: Environmental Economics and Policy Studies (March 2014)
Preview |
PDF
MPRA_paper_54772.pdf Download (864kB) | Preview |
Abstract
A new database called the World Resource Table (WRT) 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. 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.
Item Type: | MPRA Paper |
---|---|
Original Title: | Global Environmental Emissions Estimate: Application of Multiple Imputation |
Language: | English |
Keywords: | Global emissions; Multiple Imputation; Environmental Kuznets Curve; Missing data; Forecasting |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O44 - Environment and Growth |
Item ID: | 54772 |
Depositing User: | Shunsuke MANAGI |
Date Deposited: | 02 Apr 2014 03:29 |
Last Modified: | 26 Sep 2019 12:13 |
References: | Andridge R. R, Little R. J. A (2010) A review of hot deck imputation for survey non-response. Int Stat Rev 78:40-64. Azomahou T, Laisney F, Nguyen Van P (2006) Economic development and CO2 emissions: a nonparametric panel approach. J Public Econ 90:1347-1363. Bertinelli L, Strobl E (2005) The environmental Kuznets curve semi- parametrically revisited. Econ Lett 88:350-357. Coleman A (2009) A model of spatial arbitrage with transport capacity constraints and endogenous transport prices. Am J Agric Econ 91:42-56. Cranmerand S. J, Gill J (2013) We have to be discrete about this: a non-parametric imputation technique for missing categorical data. Br J Polit Sci 43:425-449. Dasgupta S, Laplante B, Wang H, Wheeler D (2002) Confronting the environmental Kuznets curve. The J Econ Perspectives 16:147-168. Gelman A, Hill J (2006) Data Analysis Using Regression and Multi¬level/ Hierarchical Models. Cambridge University Press, Cambridge. Graham J, Olchowski A, Gilreath T (2007) How many imputations are really needed? some practical clarifications of multiple imputation theory. Prev Sci 8:206-213. Grossman GM, Krueger AB (1991) Environmental impacts of a North American free trade agreement. NBER Working Papers 3914, National Bureau of Economic Research, Inc. Grossman GM, Krueger AB (1995) Economic growth and the environ¬ment. The Q J Econ 110:353-377. Heil MT, Selden TM (2001) Carbon emissions and economic development: future trajectories based on historical experience. Environ Dev Econ 6:63-83. Holtz-Eakin D, Selden TM (1995) Stoking the fires? CO2 emissions and economic growth. J Public Econ 57:85-101. Honaker J, King G (2010) What to do about missing values in time series cross-section data. Am J Polit Sci 54:561-581. Honaker J, King G, Blackwell M (2011) Amelia II: a program for missing data. J Stat Softw 45:1-47. Iwami T (2004) Economic development and/or environmental quality: emissions of CO2 and SO2 in East Asia. Discuss Pap F series March 2004. Junninen H, Niska H, Tuppurainen K, Ruuskanen J, Kolehmainen M (2004) Methods for imputation of missing values in air quality data sets. Atmospheric Environ 38:2895-2907. Kabacoff R (2011) R in Action: Data Analysis and Graphics with R. Man¬ning Publications Co. King G, Honaker J, Joseph A, Scheve K (2001) Analyzing incomplete political science data: an alternative algorithm for multiple imputation. The Am Polit Sci Rev 95:49-69. Kuznets S (1955) Economic growth and income inequality. The Am Econ Rev 45:1-28. Lee CC, Chiu YB, Sun CH (2010) The environmental Kuznets curve hypothesis for water pollution: do regions matter? Energy Policy 38:12-23. Little RJA (1988) A test of missing completely at random for multivariate data with missing values. J Am Stat Assoc 83:1198-1202. Managi S, Hibiki A, Tsurumi T (2009) Does trade openness improve environmental quality? J Environ Econ Manag 58:346-363. Mazzanti M, Montini A, Zoboli R (2007) Environmental Kuznets curves for GHGs and air pollutants in Italy: evidence from sector environmental accounts and provincial data. Econ Polit 24:369-406. Millimet D, List J, Stengos T (2003) The environmental Kuznets curve: real progress or misspecified models? Rev Econ Stat 85:1038-1047. Miyama E, Managi S (2014) The environmental Kuznets curve in Asia. In: Managi S (Eds) Handbook of Environmental Economics in Asia. Routledge, New York, USA (forthcoming). Orubu CO, Omotor DG (2011) Environmental quality and economic growth: searching for environmental Kuznets curves for air and water pol¬lutants in Africa. Energy Policy 39:4178-4188. Rubin DB (1976) Inference and missing data. Biom 63:581-592. Rubin DB (1977) The design of a general and flexible system for handling non-response in sample surveys. Working document prepared for the U.S. Social Security Administration. Rubin DB, Schenker N (1986) Multiple imputation for interval estimation from simple random samples with ignorable nonresponse. J Am Stat Assoc 81:366-374. Shafik N (1994) Economic development and environmental quality: an econometric analysis. Oxf Econ Pap 46:757-773. Stern D (2004) The rise and fall of the environmental Kuznets curve. World Dev 32:1419-1439. Tsurumi T, Managi S (2010a) Decomposition of the environmental Kuznets curve: scale, technique, and composition effects. Environ Econ Policy Stud 11:19-36. Tsurumi T, Managi S (2010b) Does energy substitution affect carbon dioxide emissions-income relationship? J Jpn Int Econ 24:540-551. World Commission on Environment and Development (1987) Our Common Future. Oxford University Press, Oxford. Yaguchi Y, Sonobe T, Otsuka K (2007) Beyond the environmental Kuznets curve: a comparative study of SO2 and CO2 emissions between Japan and China. Environ Dev Econ 12:445-470. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/54772 |