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Table 9 Impact of subsidy growth on decision-making regarding specific energies for different types of use

From: Impact of energy affordability on the decision-making of rural households in ecologically fragile areas of Northwest China regarding clean energy use

Variable

Cooking

Heating

Producing hot water

T to E

T to G

T to E

T to G

T to E

T to G

T to S

B

EXP (B)

B

EXP (B)

B

EXP (B)

B

EXP (B)

B

EXP (B)

B

EXP (B)

B

EXP (B)

Subsidy growth

0.179*** (0.005)

1.196

0.118*** (0.006)

1.125

0.185*** (0.006)

1.203

0.092*** (0.007)

1.096

0.131*** (0.005)

1.140

0.126*** (0.013)

1.134

0.094*** (0.005)

1.099

Gender

− 0.086 (0.072)

0.918

− 0.157* (0.089)

0.854

0.085 (0.074)

1.089

0.019 (0.108)

1.020

− 0.124* (0.075)

0.884

0.271 (0.203)

1.312

− 0.101 (0.074)

0.904

Age

− 0.117** (0.059)

0.890

− 0.112 (0.072)

0.894

− 0.077 (0.060)

0.926

− 0.102 (0.090)

0.903

0.063 (0.062)

1.065

0.200 (0.164)

1.221

0.159*** (0.061)

1.172

Education

0.267*** (0.086)

1.306

0.045 (0.103)

1.046

0.168** (0.077)

1.182

− 0.728*** (0.138)

0.483

0.166* (0.093)

1.181

− 0.054 (0.230)

0.947

0.222** (0.090)

1.248

Family size

0.057** (0.024)

1.058

− 0.076** (0.030)

0.927

0.036 (0.024)

1.037

0.027 (0.037)

1.028

0.082*** (0.026)

1.085

0.128** (0.064)

1.136

0.054** (0.026)

1.056

Income type

0.153*** (0.049)

1.166

0.439*** (0.060)

1.551

0.060 (0.051)

1.061

0.398*** (0.075)

1.489

0.184*** (0.051)

1.202

0.361*** (0.136)

1.434

0.483*** (0.050)

1.620

Income-level

0.314*** (0.040)

1.369

0.485*** (0.052)

1.624

0.651*** (0.042)

1.917

0.458*** (0.064)

1.581

0.261*** (0.041)

1.298

0.391*** (0.113)

1.478

0.289*** (0.041)

1.336

Time dummy variable

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Area dummy variables

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Controlled

Cox and Snell R2

0.542

0.418

0.292

Nagelkerke R2

0.613

0.523

0.325

  1. *, * *, * * * indicate the 10, 5, and 1% significance levels, respectively; standard errors are in parentheses. The unit of subsidy increase is 100 yuan, and the estimated coefficient in the report indicates the impact of a subsidy increase of 100 yuan on the probability of households opting for clean energy. T: traditional solid energy; E: electricity; G: gas; S: solar energy
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Energy, Sustainability and Society

ISSN: 2192-0567

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