TY - JOUR
T1 - Strategy of energy conservation and emission reduction in residential building sector: A case study of Jiangsu Province, China
AU - Jiang, Tingting
AU - Li, Hongyang
AU - Mao, Peng
AU - Wu, Tongyuan
AU - Skitmore, Martin
AU - Talebian, Nima
PY - 2023
Y1 - 2023
N2 - The building sector is the second-largest energy consumer in China. With the proposal to reach a carbon peak by 2030 and achieve carbon neutrality by 2060, China attaches more importance to the energy conservation and emission reduction of the residential sector. To study the connection between socioeconomic factors and residential energy consumption (REC), this paper collects the data of 13 prefecture-level cities in Jiangsu Province, China, from 2001 to 2019 to explore the REC impact factors by the STIRPAT model. The factors for modeling are identified from relevant studies and weighted by the independent weight coefficient method (IWCM). The regression result shows that the average number of persons per household, per capita housing construction area, urbanization rate, and cooling degree days have a significant positive impact on REC, while a negative correlation is found between per capita housing construction area, residential water consumption, and residential liquefied petroleum gas (LPG) consumption. Strategies of energy conservation and emission reduction in residential building sector are explored based on the demonstration of the future REC pattern evolution and the changes in its impact factors.
AB - The building sector is the second-largest energy consumer in China. With the proposal to reach a carbon peak by 2030 and achieve carbon neutrality by 2060, China attaches more importance to the energy conservation and emission reduction of the residential sector. To study the connection between socioeconomic factors and residential energy consumption (REC), this paper collects the data of 13 prefecture-level cities in Jiangsu Province, China, from 2001 to 2019 to explore the REC impact factors by the STIRPAT model. The factors for modeling are identified from relevant studies and weighted by the independent weight coefficient method (IWCM). The regression result shows that the average number of persons per household, per capita housing construction area, urbanization rate, and cooling degree days have a significant positive impact on REC, while a negative correlation is found between per capita housing construction area, residential water consumption, and residential liquefied petroleum gas (LPG) consumption. Strategies of energy conservation and emission reduction in residential building sector are explored based on the demonstration of the future REC pattern evolution and the changes in its impact factors.
U2 - https://doi.org/10.1155/2023/7818070
DO - https://doi.org/10.1155/2023/7818070
M3 - Article
SN - 1687-9805
VL - 2023
SP - 1
EP - 13
JO - Journal of Environmental and Public Health
JF - Journal of Environmental and Public Health
M1 - 7818070
ER -