Saving from home! How income, efficiency, and curtailment behaviors shape energy consumption dynamics in US households?
被引:19
|
作者:
Kumar, Pranay
论文数: 0引用数: 0
h-index: 0
机构:
Rutgers State Univ, EJ Bloustein Sch Planning & Publ Policy, New Brunswick, NJ 08901 USARutgers State Univ, EJ Bloustein Sch Planning & Publ Policy, New Brunswick, NJ 08901 USA
Kumar, Pranay
[1
]
Caggiano, Holly
论文数: 0引用数: 0
h-index: 0
机构:
Princeton Univ, Andlinger Ctr Energy & Environm, Princeton, NJ USARutgers State Univ, EJ Bloustein Sch Planning & Publ Policy, New Brunswick, NJ 08901 USA
Caggiano, Holly
[2
]
Shwom, Rachael
论文数: 0引用数: 0
h-index: 0
机构:
Rutgers State Univ, Dept Human Ecol, 55 Dudley Rd, New Brunswick, NJ 08901 USARutgers State Univ, EJ Bloustein Sch Planning & Publ Policy, New Brunswick, NJ 08901 USA
Shwom, Rachael
[3
]
Felder, Frank A.
论文数: 0引用数: 0
h-index: 0
机构:
KAPSARC, Energy Transit & Elect Power, Riyadh, Saudi ArabiaRutgers State Univ, EJ Bloustein Sch Planning & Publ Policy, New Brunswick, NJ 08901 USA
Felder, Frank A.
[4
]
Andrews, Clinton J.
论文数: 0引用数: 0
h-index: 0
机构:
Rutgers State Univ, EJ Bloustein Sch Planning & Publ Policy, New Brunswick, NJ 08901 USARutgers State Univ, EJ Bloustein Sch Planning & Publ Policy, New Brunswick, NJ 08901 USA
Andrews, Clinton J.
[1
]
机构:
[1] Rutgers State Univ, EJ Bloustein Sch Planning & Publ Policy, New Brunswick, NJ 08901 USA
[2] Princeton Univ, Andlinger Ctr Energy & Environm, Princeton, NJ USA
[3] Rutgers State Univ, Dept Human Ecol, 55 Dudley Rd, New Brunswick, NJ 08901 USA
[4] KAPSARC, Energy Transit & Elect Power, Riyadh, Saudi Arabia
The objective of this study is to analyze the role of energy efficiency and curtailment behaviors and examine how these behaviors are mediated by annual household income to explain overall energy consumption dynamics in US households using a nationally representative dataset. Our two-part empirical analysis first explores the role of annual household income on the efficiency and curtailment behaviors while controlling for the physical and demographic variables using structural equation modeling (SEM). Next, we test the extent and direction of selfreported energy efficiency and curtailment behaviors in explaining total energy/electricity consumption of households using cluster analysis and multivariate linear regression methods. We find efficiency behaviors to be positively correlated with the household income. However, the direction of relationship between income and curtailment behaviors appears to vary depending upon specific actions. Our findings also suggest that in comparison to the consistent role of physical factors in the residential energy consumption, the nature and direction of behavioral factors are mixed and vary with specific behaviors and context. Our study builds upon the existing literature on residential energy saving behaviors and provides important insights for tailored, targeted, and effective policies.