Back Matter
  • 1 https://isni.org/isni/0000000404811396, International Monetary Fund
  • | 2 https://isni.org/isni/0000000404811396, International Monetary Fund

Appendix Figures

Figure A.1.
Figure A.1.

Kuznets Residuals at the Aggregate Level

Citation: IMF Working Papers 2018, 085; 10.5089/9781484351000.001.A999

Figure A.2:.
Figure A.2:.

Kuznets Residuals at the Provincial Level

Citation: IMF Working Papers 2018, 085; 10.5089/9781484351000.001.A999

Figure A.3.
Figure A.3.

Okun Elasticities across Chinese Provinces

Citation: IMF Working Papers 2018, 085; 10.5089/9781484351000.001.A999

Figure A.4.
Figure A.4.

Kuznets Elasticities across Chinese Provinces

Citation: IMF Working Papers 2018, 085; 10.5089/9781484351000.001.A999

Figure A.5.
Figure A.5.

Elasticities and Economic Structure

Citation: IMF Working Papers 2018, 085; 10.5089/9781484351000.001.A999

Appendix Tables

Table B.1.

Augmented Dickey-Fuller Test for Unit Root

article image
Note: *** p<0.01, ** p<0.05, * p<0.1.
Table B.2.

Okun and Kuznets Correlations at the Provincial

article image
Note: Columns (1) and (2) refer to the baseline calibration, with the HP filter.

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*

We thank seminar participants at the 2017 International Conference on Energy Finance in Hangzhou for theiruseful suggestions. We also thank Philippe Wingender for useful comments. All errors are our own. The viewsexpressed in this paper are those of the authors and do not necessarily represent those of their affiliation.

1

Ravn and Uhlig (2002) suggest a smoothing parameter of 6.25 for annual data, which is more congruent with a smoothing parameter of 1600 applied to quarterly data and has commonly been applied to advanced economies’ time series. The greater the value of λ, the larger is the penalty on variations of the trend’s growth rate (i.e. the sum of thesquares of the trend’s second differences).

2

Other methods exist, such as the one explored in Chang et al. (2015), which develops a Bayesian reduced-form method to split the series.

3

Additional details about the database can be found in Lenzen et al. (2012) and (2013).

4

The HP filter was used to extract the cyclical and trend components of these time series

Decoupling of Emissions and GDP: Evidence from Aggregate and Provincial Chinese Data
Author: Gail Cohen, João Tovar Jalles, Mr. Prakash Loungani, Ricardo Marto, and Gewei Wang