2013
DOI: 10.1007/s10980-013-9943-4
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Quantifying the relationship between urban forms and carbon emissions using panel data analysis

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Cited by 227 publications
(104 citation statements)
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“…Additionally, previous studies have indicated that a compact urban form can effectively reduce energy consumption. Compact and polycentric development patterns help reduce energy consumption [10]. The form of an urban landscape has an impact on the travel behavior and energy consumption of individuals while traveling [11].…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, previous studies have indicated that a compact urban form can effectively reduce energy consumption. Compact and polycentric development patterns help reduce energy consumption [10]. The form of an urban landscape has an impact on the travel behavior and energy consumption of individuals while traveling [11].…”
Section: Introductionmentioning
confidence: 99%
“…In the context of this complex issue, decision makers and urban planners concerned with sustainable development are required to pay great attention to the formulation of measures that can effectively reduce CO 2 emissions and mitigate climate change. In addition to traditional emission reduction measures that rely on technology and policy solutions, it is recognised that urban form (that is, the spatial patterns and structural features of urban land use) is implicated in urban CO 2 emission levels [9,10]. Despite this recognition, only a limited number of studies have empirically evaluated the direct impacts of different urban form patterns on CO 2 emissions.…”
Section: Introductionmentioning
confidence: 99%
“…Urban form can be defined as the spatial organisation and arrangement of human activities -it affects how cities grow and expand and how efficiently they are able to configure resources, land use, transport and infrastructure [10,12,16]. Previous studies have addressed a number of influencing factors which begin to explain the relation between urban form and CO 2 emissions [12,[17][18][19][20][21][22], particularly in terms of the effects of urban form on urban infrastructure [23], urban transportation [24], urban heat inland effects [25], carbon taxes [26], the energy efficiency of buildings [11] and residential energy demand [27], in addition to local climatic conditions.…”
Section: Introductionmentioning
confidence: 99%
“…If the variables are determined to be stationary, we should test the cointegration relationship to examine whether there is a long-run relationship among them. In order to weaken heteroscedasticity effect, we conducted all the series tests after the logarithm fetch on the variables [59].…”
Section: Data Sources and Processingmentioning
confidence: 99%
“…We applied an ADF-Fisher test [59,62] to unit root test. From Table 2, we concluded that all of the variables were not stationary at levels but were stationary at the first difference.…”
Section: Granger Sausality Test: Integrated Economic Clu and Ecologmentioning
confidence: 99%