[1] Bagging predictors. Machine Learning, 24, 123-140(1996).

[2] Random forests. Machine Learning, 45, 5-32(2001).

[3] et alClassification and Regression Trees. UK: Chapman & Hall/CRC(1984).

[4] Study on optimization of random forests algorithm. Beijing: Capital University of Economics and Business(2014).

[5] A summary of machine learning and related algorithms. Statistics and Information Forum, 22, 105-112(2007).

[6] The impact of carbon intensity restriction on welfare of urban and rural residents: An analysis based on CGE model. China Population, Resources and Environment, 28, 94-105(2018).

[7] Decomposition analysis of CO₂ emission intensity between oil-producing and non-oil-producing sub-Saharan African countries. Energy Policy, 34, 3599-3611(2006).

[8] et alResidential carbon emission evolutions in urban-rural divided China: An end-use and behavior analysis. Applied Energy, 101, 323-332(2013).

[9] et alChanges in carbon intensity in China: Empirical findings from 1980-2003. Ecological Economics, 62, 683-691(2007).

[10] Spatial and econometric analysis of effect of industrial structure adjustment on carbon intensity in China. Soft Science, 31, 11-15(2017).

[11] Long-term changes in CO₂ emissions in Austria and Czechoslovakia: Identifying the drivers of environmental pressures. Energy Policy, 39, 535-543(2011).

[12] Effects of changes in residential end-uses and behavior on aggregate carbon intensity: Comparison of 10 OECD countries for the period 1970 through 1993. Energy Economics, 23, 153-178(2001).

[13] A research on the threshold effect of the impact of technical progress on carbon intensity. Science & Technology Progress and Policy, 31, 22-26(2014).

[14] et alEstimating potential habitat for 134 eastern US tree species under six climate scenarios. Forest Ecology and Management, 254, 390-406(2008).

[15] Special issue on application of machine learning and the knowledge discovery process. Journal of Machine learning, 30, 271-274(1998).

[16] Study of the potential of low carbon energy development and its contribution to realize the reduction target of carbon intensity in China. Energy Policy, 41, 393-401(2012).

[17] Research on the effects of energy structure adjustment in China on carbon intensity. Journal of Dalian University of Technology (Social Sciences), 37, 11-16(2016).

[18] How ambitious are China and India’s emissions intensity targets?. Energy Policy, 38, 6776-6783(2010).

[19] et alThreshold effects of household consumption level on residential carbon emissions. Journal of Arid Land Resources and Environment, 31, 38-43(2017).

[20] et alEnergy intensity developments in 40 major economies: Structural change or technology improvement?. Energy Economics, 41, 47-62(2014).

[21] Sensitivity analysis of primary energy consumption structural change and carbon intensity. Resources Science, 35, 1438-1446(2013).

[22] The impact of industrial structure adjustment on China’s carbon intensity goal: The outlook of 2020. Science and Technology Management Research, 36, 232-236(2016).

[23] The impact of heterogeneous technological innovation on carbon intensity: A global evidence based on patent statistics. Journal of Beijing Institute of Technology (Social Sciences Edition), 19, 20-27(2017).

[24] Analysis of carbon emission efficiency and optimization of low carbon for agricultural land intensive use. Transactions of the Chinese Society of Agricultural Engineering, 30, 224-234(2014).

[25] China’s 2020 carbon intensity target: Consistency, implementations, and policy implications. Renewable and Sustainable Energy Reviews, 16, 4970-4981(2012).

[26] et alCarbon emission efficiency and optimization of low carbon for construction land development intensity in China according to provincial panel data. Resources Science, 38, 265-275(2016).

[27] Structural decomposition analysis of sources of decarbonizing economic development in China: 1992-2006. Ecological Economics, 68, 2399-2405(2009).

[28] Economic development pattern change impact on China’s carbon intensity. Economic Research Journal, 120-133(2010).

[29] et alA scientific study of establishing statistical index system. Statistical Theory and Practice, 8-12(2015).

[30] Analysis of carbon emission efficiency for urban construction land intensive use. Areal Research and Development, 35, 98-103(2016).