Energy out-of-poverty and inclusive growth: Evidence from the China health and nutrition survey.

• Empirical framework for estimating income growth effect and income distribution. • Mincer model, OLS and GMM methods. • CHNS surveys from rural residents during 1991–2015. • Energy poverty threatens individual health and household efficiency. • Energy poverty harms resident income growth. This paper proposes a novel empirical framework for inclusive growth estimation by extending the traditional Mincer model. Based on the 42,126 observations from 1991 to 2015 obtained in the China Health and Nutrition Survey, this paper applies the ordinary least squares regression and generalized system method of moments estimation to explore the growth effect and inclusiveness of energy out-of-poverty on rural resident income. The results confirm the significant income inclusive growth effect prompted by energy out-of-poverty. Those with water infrastructure accessibility and medical insurance gain more than those without energy out-of-poverty in rural China. The better-educated benefit more than their counterparts from energy out-of-poverty in the eastern and middle regions. This paper provides valuable insights to understand the positive and vital role of energy out-of-poverty on income-inclusive growth. [ABSTRACT FROM AUTHOR]