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Table 8 Results of variance inflation factor of independent variables for both Model I and II

From: Effects of the German Renewable Energy Sources Act and environmental, social and economic factors on biogas plant adoption and agricultural land use change

Environmental–social–economic variables

Variance inflation factor

Control and EEG dummy variables

Variance inflation factor

Model I.1: \(BP=ln\left(BPI\right)+ln\left(AE\right)+ln\left(DI\right)+ln\left(GN\right)+ln\left(LP\right)+ln\left(PPAP\right)+City\)

ln(BPI)

1.77

City

2.88

ln(AE)

3.15

\({\mathrm{EEG}}_{\mathrm{II}}\)

ln(DI)

3.42

\({\mathrm{EEG}}_{\mathrm{III}}\)

ln(GN)

1.31

\({\mathrm{EEG}}_{\mathrm{IV}}\)

ln(LP)

2.30

  

ln(PPAP)

2.22

  

Model I.2: \(ln(IC)=ln\left(BPI\right)+ln\left(AE\right)+ln\left(DI\right)+ln\left(GN\right)+ln\left(LP\right)+ln\left(PPAP\right)+City\)

ln(BPI)

1.16

City

1.54

ln(AE)

2.63

\({\mathrm{EEG}}_{\mathrm{II}}\)

ln(DI)

3.25

\({\mathrm{EEG}}_{\mathrm{III}}\)

ln(GN)

1.08

\({\mathrm{EEG}}_{\mathrm{IV}}\)

ln(LP)

1.21

  

ln(PPAP)

1.81

  

Model II.1: \(BP=ln\left(BPI\right)+ln\left(AE\right)+ln\left(DI\right)+ln\left(GN\right)+ln\left(LP\right)+ln\left(PPAP\right)+City+EEG\)

ln(BPI)

1.81

City

3.09

ln(AE)

3.74

\({\mathrm{EEG}}_{\mathrm{II}}\)

2.89

ln(DI)

6.75

\({\mathrm{EEG}}_{\mathrm{III}}\)

5.12

ln(GN)

1.39

\({\mathrm{EEG}}_{\mathrm{IV}}\)

5.40

ln(LP)

2.50

  

ln(PPAP)

3.19

  

Model II.2: \(ln(IC)=ln\left(BPI\right)+ln\left(AE\right)+ln\left(DI\right)+ln\left(GN\right)+ln\left(LP\right)+ln\left(PPAP\right)+City+EEG\)

ln(BPI)

1.20

City

1.70

ln(AE)

3.14

\({\mathrm{EEG}}_{\mathrm{II}}\)

4.34

ln(DI)

5.21

\({\mathrm{EEG}}_{\mathrm{III}}\)

8.01

ln(GN)

1.11

\({\mathrm{EEG}}_{\mathrm{IV}}\)

5.13

ln(LP)

1.32

  

ln(PPAP)

2.73