How does income level impact residential-building heating energy consumption? Micro-level evidence from household surveys

Huo, Tengfei; Cai, Weiguang; Zhang, Weishi; Wang, Jing; Zhao, Yanan; Xi-sheng, Zhu

doi:10.1016/j.eiar.2021.106659

Cited by 29 publications

(1 citation statement)

References 42 publications

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“…Building energy efficiency standards significantly impacted residential building energy consumption and energy-saving performance of buildings (Huo et al, 2021 ). Since the implementation of regulations about energy saving for civic buildings in 2008, increasing attention has been focused on the energy efficiency and thermal insulation performance of buildings and consequently, energy loss has also gradually decreased in civic buildings.…”

Section: Resultsmentioning

confidence: 99%

Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics

et al. 2023

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As the world’s most populous country, China’s energy poverty reduction achievements directly impact the global energy poverty reduction process. Analyzing energy poverty in China is therefore critical to consolidating the results of poverty eradication, eliminating relative poverty, and improving the social welfare of residents. However, prior research neither considered the applicability of existing energy poverty indicators to the current Chinese reality, nor the spatiotemporal disparities of energy poverty using micro-level data. To study the dynamics of energy poverty in China at the household level, a new multidimensional energy poverty index is constructed with seven dimensions using multiple correspondence analysis methods. Furthermore, provincial disparities and characteristics of energy poverty are compared using a spatial autocorrelation analysis method. The findings show that energy poverty has improved in China from 2012 to 2018, but its incidence and intensity remain high. Moreover, significant regional differences in energy poverty exist between different regions of China. High levels of energy poverty are mainly concentrated in the western and northeastern regions (especially in rural areas), and the urban–rural gap shows a similar pattern. The results obtained from spatial autocorrelation analysis demonstrate that China's energy poverty exhibits significant spatial clustering characteristics. Further, the results of standard deviation ellipse show that during the study period, the center of gravity of energy poverty in China was in Henan province and gradually shifted to the northwest. These findings help policymakers to formulate specific energy poverty reduction policies for various groups affected by energy poverty.

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Section: Resultsmentioning

confidence: 99%

Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics

et al. 2023

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Can Chinese families climb the energy ladder? New evidence from Internet use

Che,

Wang

2024

Environ Dev Sustain

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Urbanization and energy equity: an urban-rural gap perspective

Hua

Wang

Fang

et al. 2023

Environ Sci Pollut Res

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Inequality is usually discussed in a monetary perspective, while the disparity in energy access sometimes is more severe. This paper mainly studies the impact of urbanization on urban-rural electricity consumption inequality with a modified STRIPAT model. We find that there is a long-run U-shaped relationship between urbanization and urban-rural electricity consumption inequality, and the estimated turning point arrives at the urbanization level of around 60%. We further carry out a regional heterogeneity analysis and then have two interesting findings: firstly, the colder northern region's turning point arrives later than the south. Secondly, the baseline U-shaped relationship remains for developed eastern regions, while for the undeveloped midwest, the relationship is not nonlinear but linearly negative. As an extension, we lastly explore the mechanism underlying the U-shaped relationship, and find that the interaction of urbanization's scale and efficiency effect determines the U-shaped relationship.

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How does income level impact residential-building heating energy consumption? Micro-level evidence from household surveys

Cited by 29 publications

References 42 publications

Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics

Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics

Can Chinese families climb the energy ladder? New evidence from Internet use

Urbanization and energy equity: an urban-rural gap perspective

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