Table 2 Validity test results for the spatial patterns of nighttime light data based on GDP and power consumption.

From: County-level CO2 emissions and sequestration in China during 1997–2017

Year

Model (1)

Model (2)

Slope

AIC values

R2

Slope

AIC values

R2

1997

0.0036 (0.0000)

17.03

0.87

0.0005 (0.0000)

12.62

0.92

1998

0.0038 (0.0000)

17.13

0.87

0.0005 (0.0000)

12.74

0.91

1999

0.0039 (0.0000)

17.23

0.88

0.0005 (0.0000)

12.86

0.91

2000

0.0043 (0.0000)

17.45

0.88

0.0006 (0.0000)

12.96

0.92

2001

0.0047 (0.0000)

17.65

0.88

0.0006 (0.0000)

13.08

0.92

2002

0.0051 (0.0000)

17.83

0.88

0.0007 (0.0000)

13.30

0.93

2003

0.0058 (0.0000)

18.08

0.89

0.0008 (0.0000)

13.70

0.92

2004

0.0068 (0.0000)

18.41

0.89

0.0009 (0.0000)

13.97

0.92

2005

0.0080 (0.0000)

18.75

0.90

0.0010 (0.0000)

14.20

0.92

2006

0.0091 (0.0000)

19.04

0.90

0.0011 (0.0000)

14.42

0.93

2007

0.0104 (0.0000)

19.37

0.90

0.0012 (0.0000)

14.61

0.93

2008

0.0122 (0.0000)

19.65

0.91

0.0012 (0.0000)

14.70

0.93

2009

0.0132 (0.0000)

19.90

0.90

0.0013 (0.0000)

14.85

0.93

2010

0.0154 (0.0000)

20.23

0.90

0.0015 (0.0000)

15.15

0.93

2011

0.0177 (0.0000)

20.53

0.90

0.0016 (0.0000)

15.34

0.93

2012

0.0191 (0.0000)

20.75

0.90

0.0016 (0.0000)

15.41

0.93

2013

0.0195 (0.0000)

21.11

0.88

0.0016 (0.0000)

15.87

0.91

2014

0.0201 (0.0000)

21.26

0.88

0.0016 (0.0000)

15.90

0.91

2015

0.0205 (0.0000)

21.42

0.88

0.0016 (0.0000)

15.93

0.92

2016

0.0214 (0.0000)

21.66

0.87

0.0016 (0.0000)

16.04

0.91

2017

0.0239 (0.0000)

21.94

0.87

0.0017 (0.0000)

16.16

0.91

  1. Notes: The values in parentheses are p-values. Model (1) represents the linear regression of the provincial cross-sectional GDP with the sum of DN values; Model (2) represents the linear regression of the provincial cross-sectional power consumption with the sum of DN values (sdn). AIC denotes the Akaike information criterion.
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