TY - JOUR
T1 - Uncovering household indirect energy-saving responsibility from a sectoral perspective
T2 - An empirical analysis of Guangdong, China
AU - Zhen, Wei
AU - Qin, Quande
AU - Zhong, Zhangqi
AU - Li, Li
AU - Wei, Yi Ming
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/5
Y1 - 2018/5
N2 - Household indirect energy consumption (HIEC) is a major part of household energy consumption. It is critical to uncover energy-saving responsibilities associated with regional HIEC for China to respond climate change. In this study, we investigated the HIEC of Guangdong Province in 2012 from a sectoral perspective, using environmentally extended input-output analysis. Structural path analysis and sensitivity analysis were used to assess the key paths of the different production layers (PLs) for total, urban, and rural HIEC. Our results show that: (1) there are significant differences between urban and rural HIEC. (2) The “Electricity and Steam Production and Supply” “Transport, Storage, Postal and Telecommunication Services” and “Residential Services” sectors are the main drivers of both urban and rural HIEC. Furthermore, sectors with large hidden energy-saving responsibilities deserve more attentions. (3) Urban HIEC is more complicated than rural HIEC, and the first four PLs (PL0, PL1, PL2 and PL3), especially PL0, are the most important contributors to HIEC. (4) For PL0, only 11, 11 and 9 paths result in significant energy-saving for total, urban and rural HIEC, respectively. (5) Energy management for high-order PLs is sector-dependent and should consider the formation, length, and magnitude of the key paths.
AB - Household indirect energy consumption (HIEC) is a major part of household energy consumption. It is critical to uncover energy-saving responsibilities associated with regional HIEC for China to respond climate change. In this study, we investigated the HIEC of Guangdong Province in 2012 from a sectoral perspective, using environmentally extended input-output analysis. Structural path analysis and sensitivity analysis were used to assess the key paths of the different production layers (PLs) for total, urban, and rural HIEC. Our results show that: (1) there are significant differences between urban and rural HIEC. (2) The “Electricity and Steam Production and Supply” “Transport, Storage, Postal and Telecommunication Services” and “Residential Services” sectors are the main drivers of both urban and rural HIEC. Furthermore, sectors with large hidden energy-saving responsibilities deserve more attentions. (3) Urban HIEC is more complicated than rural HIEC, and the first four PLs (PL0, PL1, PL2 and PL3), especially PL0, are the most important contributors to HIEC. (4) For PL0, only 11, 11 and 9 paths result in significant energy-saving for total, urban and rural HIEC, respectively. (5) Energy management for high-order PLs is sector-dependent and should consider the formation, length, and magnitude of the key paths.
KW - Energy-saving responsibility
KW - Environmentally extended input-output analysis
KW - Guangdong Province
KW - Household indirect energy consumption
KW - Structural path analysis
UR - http://www.scopus.com/inward/record.url?scp=85046746027&partnerID=8YFLogxK
U2 - 10.1016/j.eneco.2018.05.006
DO - 10.1016/j.eneco.2018.05.006
M3 - Article
AN - SCOPUS:85046746027
SN - 0140-9883
VL - 72
SP - 451
EP - 461
JO - Energy Economics
JF - Energy Economics
ER -