Environmental Kuznets Curve: Conclusive Econometric Evidence for CO2

Published date01 February 2014
Date01 February 2014
AuthorJie Li,Gregory C. Chow
DOIhttp://doi.org/10.1111/1468-0106.12048
ENVIRONMENTAL KUZNETS CURVE: CONCLUSIVE
ECONOMETRIC EVIDENCE FOR CO2
GREGORY C. CHOW*Princeton University
JIE LIThe World Bank
Abstract. This paper begins with a statistical formulation of the Environmental Kuznets Curve
(EKC) and discusses the major econometric problems raised in the literature in testing this hypoth-
esis using panel data. A simple t-test is then presented that avoids these econometric problems. The
result from applying the t-test conf‌irms conclusively the EKC for CO2as formulated.
1. INTRODUCTION
There has been a vast literature on the Environmental Kuznets Curve (EKC)
since the hypothesis was presented in Grossman and Krueger (1995). Much of it
raises skepticism of the econometric methods used to test the hypothesis of the
EKC, as contained in the survey articles of Stern (2004), Dinda (2004) and
especially Romero-Avila (2008). There is also much less consensus on the exist-
ence of the EKC for CO2than for the other traditional pollutants such as SO2
and NOx. The reason is that compared with those of other pollutants the
impacts of CO2are indirect, global and long-term. In this paper we f‌irst present
a statistical formulation of the EKC in Section 2. In Section 3 we discuss the
econometric problems in testing the stated hypothesis using panel data. In
Section 4, a simple t-test is provided to test the stated hypothesis that avoids all
the abovementioned statistical pitfalls. The t-test is applied to test the EKC in
Section 5 using data for 132 countries for the period 1992 to 2004. The test result
supports the EKC conclusively. Section 6 concludes. It is hoped that this paper
will dispel any doubt that may exist regarding the existence of the EKC for CO2
during the period observed.
2. STATISTICAL FORMULATION OF THE ENVIRONMENTAL KUZNETS CURVE
For the purpose of our discussion, an EKC is def‌ined as an empirical relation-
ship during the course of economic development where per capita CO2emissions
f‌irst increases with per capita real GDP and later decreases with per capita real
GDP. This def‌inition is accepted in much of the literature (e.g. Stern, 2004;
Dinda, 2004; Romero-Avila (2008), although disagreement on def‌inition exists.
We will discuss one simple formulation in this paper and point out that our
method of testing applies also to other formulations using different dependent
variables and explanatory variables.
*Address for Correspondence: 205 Fisher Hall, Princeton University, Princeton, New Jersey 08544
USA. E-mail: gchow@princeton.edu. The f‌irst author would like to acknowledge the support of the
Gregory C Chow Econometric Research Program of Princeton University in the preparation of this
paper.
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Pacif‌ic Economic Review, 19: 1 (2014) pp. 1–7
doi: 10.1111/1468-0106.12048
© 2014 Wiley Publishing Asia Pty Ltd

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