Driving factors of carbon dioxide emissions in China: an empirical study using 2006-2010 provincial data
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Brunsdon C, Fotheringham A S, Charlton M (1999). Some notes on parametric significance tests for geographically weighted regression. J Reg Sci, 39(3): 497–524
Brunsdon C, Fotheringham A S, Charlton M E (1996). Geographically weighted regression: a method for exploring spatial nonstationarity. Geogr Anal, 28(4): 281–298
Brunsdon C, Fotheringham S, Charlton M (1998). Geographically weighted regression-modelling spatial non-stationarity. Journal of the Royal Statistical Society: Series D (The Statistician), 47(3): 431–443
Chen G Q, Chen Z M (2010). Carbon emissions and resources use by Chinese economy 2007: a 135-sector inventory and input–output embodiment. Commun Nonlinear Sci Numer Simul, 15(11): 3647–3732
Chen G Q, Zhang B (2010). Greenhouse gas emissions in China 2007: inventory and input-output analysis. Energy Policy, 38(10): 6180–6193
Chen Z M, Chen G Q (2011). Embodied carbon dioxide emission at supra-national scale: a coalition analysis for G7, BRIC, and the rest of the world. Energy Policy, 39(5): 2899–2909
Chen Z M, Chen G Q, Chen B (2013). Embodied carbon dioxide emission by the globalized economy: a systems ecological inputoutput simulation. Journal of Environmental Informatics, 21(1): 35–44
Dietz T, Rosa E A (1994). Rethinking the environmental impacts of population, affluence and technology. Hum Ecol Rev, 1: 277–300
Dietz T, Rosa E A (1997). Effects of population and affluence on CO2 emissions. Proc Natl Acad Sci USA, 94(1): 175–179
Fotheringham A S, Charlton M, Brunsdon C (1996). The geography of parameter space: an investigation of spatial non-stationarity. International Journal of Geographical Information Systems, 10(5): 605–627
Fotheringham S, Charlton M, Brunsdon C (1998). Geographically weighted regression: a natural evolution of the expansion method for spatial data analysis. Environ Plann A, 30(11): 1905–1927
Gelfand A E, Kim H J, Sirmans C F, Banerjee S (2003). Spatial modeling with spatially varying coefficient processes. J Am Stat Assoc, 98(462): 387–396
Huang B, Wu B, Barry M (2010). Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices. Int J Geogr Inf Sci, 24(3): 383–401
Huang B, Zhang L, Wu B (2009). Spatiotemporal analysis of rural–urban land conversion. Int J Geogr Inf Sci, 23(3): 379–398
Ji X, Chen Z, Li J (2014). Embodied energy consumption and carbon emissions evaluation for urban industrial structure optimization. Front Earth Sci, 8(1): 32–43
Li J S, Alsaed A, Hayat T, Chen G Q (2014). Energy and carbon emission review for Macao’s gaming industry. Renew Sustain Energy Rev, 29: 744–753
Liu Y, Feng S, Cai S, Zhang Y X, Zhou X, Chen Y B, Chen ZM (2013). Carbon emission trading system of China: a linked market vs. separated markets. Front Earth Sci, 7(4): 465–479
Song B Y, Su F L (2010). GWR empirical research of Chinese provincial carbon emissions and economic development. Finance & Ecnomics, 4: 41–49 (in Chinese)
Xia X H, Chen Y B, Li J S, Tasawar H, Alsaedi A, Chen G Q (2014b). Energy regulation in China: objective selection, potential assessment and responsibility sharing by partial frontier analysis. Energy Policy, 66(0): 292–302
Xia X H, Hu Y, Chen G Q, Alsaedi A, Hayat T, Wu X D (2014a). Vertical specialization, global trade and energy consumption for an urban economy: a value added export perspective for Beijing. Ecol Modell
Xia X H, Hu Y, Tasawar H, Alsaedi A, Wu X D, Chen G Q (2015). Structure decomposition analysis for energy-related GHG emission in Beijing: urban metabolism and hierarchical structure. Ecol Inform, 26: 60–69
York R, Rosa E A, Dietz T (2003). STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts. Ecol Econ, 46(3): 351–365