Modeling energy consumption and CO2 emissions at the urban scale: Methodological challenges and insights from the United States

Parshall, Lily; Gurney, K. R.; Hammer, Stephen A.; Mendoza, Daniel; Zhou, Yuyu; Geethakumar, S.

doi:10.1016/j.enpol.2009.07.006

Cited by 210 publications

(116 citation statements)

References 19 publications

Supporting

Mentioning

111

Contrasting

Unclassified

Order By: Relevance

“…Comprising between 16% and 50% of the total global energy consumption, most of the urban energy usage comes from building operations (Swan & Ugursal, 2009;Perez-Lombard, Ortiz, & Pout, 2008). The crucial role of urban areas in shaping global energy demand, as well as the emergent urban leadership in climate change mitigation and adaptation, has stimulated growing attention to urban-scale energy consumption information (Parshall, Gurney, Hammer, & Mendoza, 2010).…”

Section: Introductionmentioning

confidence: 99%

Different Regions, Differences in Energy Consumption: Do Regions Account for the Variability in Household Energy Consumption?

Estiri,

Gabriel,

Howard

et al. 2013

SSRN Journal

View full text Add to dashboard Cite

This research aims to discover between-region variability in household energy consumption behaviors, using multilevel modeling with data from Residential Energy Consumption Survey in 2009. Where past research focuses on the physical characteristics of housing, our effort in this research centers on between-region variability and micro-level determinants of residential energy usage. We found significant between-region variability with household energy usage across the U.S. Results suggest that the association between heating degree days and energy consumption varies depending on the type of climate that a household lives in. Further, household energy usage is significantly associated with the race of the householder and income. In the discussion section, we connect this outcome to racial disparities between whites and non-whites in location choice, access to housing, and residential stratification. Moreover, the structure of our research reveals the necessity of multilevel modeling in gaining an accurate picture of residential energy consumption for more efficient energy conservation policy.

show abstract

Section: Introductionmentioning

confidence: 99%

Different Regions, Differences in Energy Consumption: Do Regions Account for the Variability in Household Energy Consumption?

Estiri,

Gabriel,

Howard

et al. 2013

SSRN Journal

View full text Add to dashboard Cite

show abstract

“…His period of study ranges between 1965-87 taking into account of developed and developing countries using the double logarithmic regression model based on ordinary least square estimate on the pooled time series and cross section data, they have established that urban population increases per capita fuel consumption and carbon emission. In case of large countries such as China and United States, the studies of (Donglan et al, 2010;Parshall et al, 2010;Li et al, 2012;Zhang & Lin, 2012;Wang et al, 2013) reported strong evidence of urbanization on energy consumption and subsequently on carbon emission. Zhang and Lin (2012) have highlighted the relationship between urbanization, energy consumption and CO 2 emission not only at national level but also at regional levels in china.…”

Section: Review Of Literaturementioning

confidence: 99%

“…These developments lead to better use of energy and low rate of emission (Newman & Kenworthy, 1989;Liddle, 2004;Chen et al, 2008). Despite these agreements, some of the major studies in recent years are examining the relationship between urbanization, energy consumption and CO 2 emission are (Wei & Liu, 2007;Liu, 2009;Liu & Xie, 2009;Parshall, et al, 2010;Donglan et al, 2010;Poumanyvong & Kaneko, 2010;Xiangyang & Guiqiu, 2011;Liu et al, 2011;Hossain, 2011;Li et al, 2012;Zhang & Lin, 2012;Shahbaz & Lean, 2012;Poumanyvong et al, 2012;Al-mulali et al, 2012;Wang et al, 2013;Jones, 1991) empirically examined the effect of urbanization on Carbon emission for a large basket of developing economies. Based on its empirical results, the study reported that there is significant impact of urbanization in CO 2 emission.…”

Section: Review Of Literaturementioning

confidence: 99%

An Empirical Investigation of the Relationship between Economic Growth, Urbanization, Energy Consumption, and CO2 Emission in GCC Countries: A Panel Data Analysis

Asif¹,

Sharma²,

Adow³

2015

ASS

View full text Add to dashboard Cite

The faster growing energy consumption and urbanization are supporting economic growth but are contributing in the environmental degradation. The existing empirical literature has been remained silent on this serious issue in case of GCC countries. The present study captures these rectangular relationships amongst these variables in the GCC countries by using panel unit root and cointegration tests for a period 1980-2011. The study finds the first difference stationarity and existence of cointegration among the concerned variables. Further, urbanization has the positive impact on CO 2 , energy consumption and economic growth. Economic growth has a positive impact on CO 2 and has a negative impact on energy consumption. Energy consumption has a positive impact on CO 2 and CO 2 has a positive impact on energy consumption and economic growth. The causality tests also confirm the direction of relationships in the most of GCC countries in the country-specific analysis. The results of the study suggest the urban planning and clean energy consumption to avoid the pollutant emissions and to achieve sustainable development for GCC countries in the long run.

show abstract

“…The local air pollutants or emissions were analyzed at the source. Parshall et al (2010) used the Vulcan data to measure the energy consumption and related CO2 emissions in urban areas in United States. They also highlighted the methodological challenges of this type of analytical exercise and summarized alternative approaches.…”

Section: Introductionmentioning

confidence: 99%

Urban energy consumption and CO2 emissions in Beijing: current and future

et al. 2014

View full text Add to dashboard Cite

The POL scenario presents a more optimized energy structure compared with the BAU scenario, with the decrease of coal consumption and the increase of natural gas consumption. (4) The commerce and service sector and the energy conversion sector will become the largest contributor to energy consumption and CO2 emissions, respectively. The transport sector and the industrial sector are the two most potential sectors in energy savings and carbon reduction. In terms of sub-scenarios, the TEC is the most effective one. (5) The macro parameters, such as the GDP growth rate and the industrial structure have great influence on the urban energy consumption and carbon emissions.

show abstract

Modeling energy consumption and CO2 emissions at the urban scale: Methodological challenges and insights from the United States

Cited by 210 publications

References 19 publications

Different Regions, Differences in Energy Consumption: Do Regions Account for the Variability in Household Energy Consumption?

Different Regions, Differences in Energy Consumption: Do Regions Account for the Variability in Household Energy Consumption?

An Empirical Investigation of the Relationship between Economic Growth, Urbanization, Energy Consumption, and CO2 Emission in GCC Countries: A Panel Data Analysis

Urban energy consumption and CO2 emissions in Beijing: current and future

Contact Info

Product

Resources

About