Global environmental emissions estimate: application of multiple imputation

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.

[1]  S. Dasgupta,et al.  Confronting the Environmental Kuznets Curve , 2002 .

[2]  Gary King,et al.  Amelia II: A Program for Missing Data , 2011 .

[3]  S. Managi,et al.  Does energy substitution affect carbon dioxide emissions – Income relationship? , 2010 .

[4]  Harri Niska,et al.  Methods for imputation of missing values in air quality data sets , 2004 .

[5]  D. Rubin,et al.  Multiple Imputation for Interval Estimation from Simple Random Samples with Ignorable Nonresponse , 1986 .

[6]  J. Graham,et al.  How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory , 2007, Prevention Science.

[7]  Donald B. Rubin,et al.  The Design of a General and Flexible System for Handling Nonresponse in Sample Surveys , 2004 .

[8]  Robert Kabacoff,et al.  R in Action: Data Analysis and Graphics with R , 2015 .

[9]  D. Stern The Rise and Fall of the Environmental Kuznets Curve , 2004 .

[10]  K. Otsuka,et al.  Beyond the Environmental Kuznets Curve: a comparative study of SO2 and CO2 emissions between Japan and China , 2007, Environment and Development Economics.

[11]  G. King,et al.  What to Do about Missing Values in Time‐Series Cross‐Section Data , 2010 .

[12]  G. Grossman,et al.  Economic Growth and the Environment , 1994 .

[13]  Shunsuke Managi,et al.  Does trade openness improve environmental quality , 2009 .

[14]  Christopher O. Orubu,et al.  Environmental quality and economic growth: Searching for environmental Kuznets curves for air and water pollutants in Africa , 2011 .

[15]  Eric Strobl,et al.  The Environmental Kuznets Curve Semi-Parametrically Revisited , 2004 .

[16]  S. Managi,et al.  Decomposition of the environmental Kuznets curve: scale, technique, and composition effects , 2010 .

[17]  N. Shafik Economic Development and Environmental Quality: An Econometric Analysis , 1994 .

[18]  Roderick J A Little,et al.  A Review of Hot Deck Imputation for Survey Non‐response , 2010, International statistical review = Revue internationale de statistique.

[19]  Eriko Miyama,et al.  The Environmental Kuznets Curve in Asia , 2015 .

[20]  D. Holtz-eakin,et al.  Stoking the Fires? Co2 Emissions and Economic Growth , 1992 .

[21]  G. Brundtland,et al.  Our common future , 1987 .

[22]  R. Little A Test of Missing Completely at Random for Multivariate Data with Missing Values , 1988 .

[23]  Jeff Gill,et al.  We Have to Be Discrete About This: A Non-Parametric Imputation Technique for Missing Categorical Data , 2012, British Journal of Political Science.

[24]  Chia-Hung Sun,et al.  The environmental Kuznets curve hypothesis for water pollution: do regions matter? , 2010 .

[25]  Théophile T. Azomahou,et al.  Economic Development and Co2 Emissions: A Nonparametric Panel Approach , 2006 .

[26]  T. Selden,et al.  Carbon emissions and economic development: future trajectories based on historical experience , 2001, Environment and Development Economics.

[27]  Preston King,et al.  Worlds of Difference: European Discourses of Toleration, c. 1100–1550. By Cary J. Nederman. University Park: Pennsylvania State University Press, 2000. 157p. $40.00 cloth, $18.95 paper. , 2001, American Political Science Review.

[28]  D. Rubin INFERENCE AND MISSING DATA , 1975 .

[29]  John A. List,et al.  The Environmental Kuznets Curve: Real Progress or Misspecified Models? , 2003, Review of Economics and Statistics.

[30]  S. Kuznets Economic Growth and Income Inequality , 2019, The Gap between Rich and Poor.

[31]  Andrew Gelman,et al.  Data Analysis Using Regression and Multilevel/Hierarchical Models , 2006 .

[32]  A. Coleman A Model of Spatial Arbitrage with Transport Capacity Constraints and Endogenous Transport Prices , 2009 .

[33]  G. King,et al.  Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation , 2001, American Political Science Review.