EconPapers    
Economics at your fingertips  
 

Household Energy Expenditures in North Carolina: A Geographically Weighted Regression Approach

Selima Sultana (), Nastaran Pourebrahim () and Hyojin Kim ()
Additional contact information
Selima Sultana: Department of Geography, University of North Carolina at Greensboro, Greensboro, NC 27412, USA
Nastaran Pourebrahim: Department of Geography, University of North Carolina at Greensboro, Greensboro, NC 27412, USA
Hyojin Kim: Department of Geography, University of North Carolina at Greensboro, Greensboro, NC 27412, USA

Sustainability, 2018, vol. 10, issue 5, 1-22

Abstract: The U.S. household (HH) energy consumption is responsible for approximately 20% of annual global GHG emissions. Identifying the key factors influencing HH energy consumption is a major goal of policy makers to achieve energy sustainability. Although various explanatory factors have been examined, empirical evidence is inconclusive. Most studies are either aspatial in nature or neglect the spatial non-stationarity in data. Our study examines spatial variation of the key factors associated with HH energy expenditures at census tract level by utilizing geographically weighted regression (GWR) for the 14 metropolitan statistical areas (MSAs) in North Carolina (NC). A range of explanatory variables including socioeconomic and demographic characteristics of households, local urban form, housing characteristics, and temperature are analyzed. While GWR model for HH transportation expenditures has a better performance compared to the utility model, the results indicate that the GWR model for both utility and transportation has a slightly better prediction power compared to the traditional ordinary least square (OLS) model. HH median income, median age of householders, urban compactness, and distance from the primary city center explain spatial variability of HH transportation expenditures in the study area. HH median income, median age of householders, and percent of one-unit detached housing are identified as the main influencing factors on HH utility expenditures in the GWR model. This analysis also provides the spatial variability of the relationship between HH energy expenditures and the associated factors suggesting the need for location-specific evaluation and suitable guidelines to reduce the energy consumption.

Keywords: energy consumption; household; urban form; geographically weighted regression; NC (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://www.mdpi.com/2071-1050/10/5/1511/pdf (application/pdf)
https://www.mdpi.com/2071-1050/10/5/1511/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:5:p:1511-:d:145571

Access Statistics for this article

Sustainability is currently edited by Prof. Dr. Marc A. Rosen

More articles in Sustainability from MDPI, Open Access Journal
Bibliographic data for series maintained by XML Conversion Team ().

 
Page updated 2019-10-14
Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1511-:d:145571