Table 10 Results of principal component analysis and multiple regression analysis of household energy equipment carbon emissions.

From: Carbon factor inventory and weight in rural communities: a case study of Linpan in western Sichuan

  

D1

D2

D3

D4

D5

Principal component

1

0.021

−0.094

−0.031

0.956

0.957

2

0.928

0.909

−0.103

−0.076

0.005

3

−0.011

−0.138

0.993

−0.031

−0.009

Initial eigenvalue

1

0.04

−0.181

−0.06

1.842

1.844

2

1.576

1.543

−0.175

−0.129

0.008

3

−0.01

−0.128

0.918

−0.029

−0.008

Principal component standardization coefficient

1

1.304

2

1.275

3

0.885

Standardized coefficients of final regression analysis

2.053

1.619

0.511

2.212

2.408

Standardized regression coefficient ranking

3

4

5

2

1

Mean value

0.07

0.017

0.001

0.00009

0.002

Standard deviation

0.068

0.011

0.003

0.001

0.015

Final coefficient of multiple regression analysis

30.092

153.067

159.501

4139.427

159.969

Original variable regression coefficient ranking

2

1

4

1

3

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