Investigating factors affecting carbon emission in China and the USA: A perspective of stratified heterogeneity

Ang, 2004, Decomposition analysis for policymaking in energy: which is the preferred method?, Energy Pol., 32, 1131, 10.1016/S0301-4215(03)00076-4

Ang, 2007, Handling zero values in the logarithmic mean Divisia index decomposition approach, Energy Pol., 35, 238, 10.1016/j.enpol.2005.11.001

Ang, 1998, Factorizing changes in energy and environmental indicators through decomposition, Energy, 23, 489, 10.1016/S0360-5442(98)00016-4

Anselin, 2010, Local indicators of spatial association—LISA, Geogr. Anal., 27, 93, 10.1111/j.1538-4632.1995.tb00338.x

Arthur Getis, 1992, The analysis of spatial association by use of distance statistics, Geogr. Anal., 24, 189, 10.1111/j.1538-4632.1992.tb00261.x

BBC, 2013

Blanco, 2018

BP, 2017

ChinaDaily, 2017

Diakoulaki, 2007, Decomposition analysis for assessing the progress in decoupling industrial growth from CO2 emissions in the EU manufacturing sector, Energy Econ., 29, 636, 10.1016/j.eneco.2007.01.005

Dietzenbacher, 2000, Structural decomposition analyses with dependent determinants, Econ. Syst. Res., 12, 497, 10.1080/09535310020003793

EPA, 2014

Feng, 2015, Drivers of the US CO2 emissions 1997–2013, Nat. Commun., 6, 7714, 10.1038/ncomms8714

FengCao, 2013, Optimal discretization for geographical detectors-based risk assessment, Mapp. Sci. Rem. Sens., 50, 78

GeoDetector Software. http://www.geodetector.org/(Accessed on 1st May, 2018).

Grimmett, 2001, Probability and random processes, Technometrics, 47

Guan, 2008, The drivers of Chinese CO2 emissions from 1980 to 2030, Global Environ. Change, 18, 626, 10.1016/j.gloenvcha.2008.08.001

Herrerias, 2013, Energy intensity and investment ownership across Chinese provinces, Energy Econ., 36, 286, 10.1016/j.eneco.2012.08.043

Kulldorff, 1997, A spatial scan statistic, Commun. Stat., 26, 1481, 10.1080/03610929708831995

Luo, 2016, Spatial association between dissection density and environmental factors over the entire conterminous United States, Geophys. Res. Lett., 43, 10.1002/2015GL066941

Ma, 2017, A methodology to assess China's building energy savings at the national level: an IPAT–LMDI model approach, J. Clean. Prod., 143, 784, 10.1016/j.jclepro.2016.12.046

Mahony, 2013, Decomposition of Ireland's carbon emissions from 1990 to 2010: an extended Kaya identity, Energy Pol., 59, 573, 10.1016/j.enpol.2013.04.013

Mousavi, 2017, Driving forces of Iran's CO2 emissions from energy consumption: an LMDI decomposition approach, Appl. Energy, 206, 804, 10.1016/j.apenergy.2017.08.199

Raupach, 2007, Global and regional drivers of accelerating CO2 emissions, Proc. Natl. Acad. Sci. U. S. A., 104, 10288, 10.1073/pnas.0700609104

Rose, 1996, Input–output structural decomposition analysis: a critical appraisal, Econ. Syst. Res., 8, 33, 10.1080/09535319600000003

Rose, 1991, Sources of change in energy use in the U.S. economy, 1972–1982 : a structural decomposition analysis, Resour. Energy, 13, 1, 10.1016/0165-0572(91)90017-W

Schipper, 2001, Carbon emissions from manufacturing energy use in 13 IEA countries: long-term trends through 1995, Energy Pol., 29, 667, 10.1016/S0301-4215(00)00163-4

Voigt, 2014, Energy intensity developments in 40 major economies: structural change or technology improvement?, Energy Econ., 41, 47, 10.1016/j.eneco.2013.10.015

Wall Street Journal, 2013

Wang, 2012, Environmental health risk detection with GeogDetector, Environ. Model. Software, 33, 114, 10.1016/j.envsoft.2012.01.015

Wang, 2010, Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China, Int. J. Geogr. Inf. Sci., 24, 107, 10.1080/13658810802443457

Wang, 2016, A measure of spatial stratified heterogeneity, Ecol. Indicat., 67, 250, 10.1016/j.ecolind.2016.02.052

Wei, 2016, Driving forces analysis of energy-related carbon dioxide (CO2) emissions in Beijing: an input–output structural decomposition analysis, J. Clean. Prod., 163

WorldBank, 2017

Yang, 2016, A CGE analysis of carbon market impact on CO2 emission reduction in China: a technology-led approach, Nat. Hazards, 81, 1107, 10.1007/s11069-015-2122-y

Yuan, 2015, The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: a regional comparative analysis, Appl. Energy, 140, 94, 10.1016/j.apenergy.2014.11.047

Zhu, 2014, The differences of carbon intensity reduction rate across 89 countries in recent three decades, Appl. Energy, 113, 808, 10.1016/j.apenergy.2013.07.062