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

Table 7 Logistic model regression results for decision-making regarding clean energy use for producing hot water

Variable	Model I		Model II		Model III		Model IV
Variable	B	EXP (B)	B	EXP (B)	B	EXP (B)	B	EXP (B)
Income growth	0.042*** (0.002)	1.043	0.044*** (0.002)	1.045
Subsidy growth					0.109*** (0.004)	1.115	0.113*** (0.004)	1.120
Gender			− 0.018 (0.064)	0.982			− 0.104 (0.068)	0.901
Age			− 0.011 (0.053)	0.989			0.106* (0.056)	1.112
Education			0.191** (0.080)	1.211			0.189** (0.085)	1.208
Family size			0.025 (0.022)	1.025			0.067*** (0.024)	1.069
Income type			0.393*** (0.043)	1.481			0.343*** (0.046)	1.409
Income-level			0.191*** (0.035)	1.211			0.274*** (0.037)	1.316
Time dummy variables (2021 as reference)
Year-2022	− 0.634*** (0.122)	0.531	− 0.455*** (0.128)	0.635	− 0.585*** (0.131)	0.557	0.420*** (0.138)	0.657
Area dummy variables (with reference to rural areas in the ecologically fragile region of the Loess Plateau)
Rural Northwest Arid Desert Ecologically Vulnerable Area	0.096 (0.085)	1.100	0.063 (0.089)	1.065	− 0.037 (0.090)	0.964	− 0.039 (0.095)	0.961
Rural areas in the ecologically fragile region of the Tibetan Plateau	− 1.609*** (0.078)	0.200	− 1.632*** (0.089)	0.196	− 1.537*** (0.083)	0.215	− 1.595*** (0.095)	0.203
Cox and Snell R²	0.175		0.196		0.174		0.197
Nagelkerke R²	0.254		0.285		0.264		0.299

*, * *, * * * indicate the 10, 5, and 1% significance levels, respectively; standard errors are in parentheses. The unit of income and subsidy growth is 100 yuan, and the estimated coefficient in the report represents the impact of an increase of 100 yuan in income and subsidies on the probability of households opting for clean energy

ISSN: 2192-0567