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Taking the construction industry of Beijing as an example, we, first, accounted the energy consumption (EC) and carbon emission (CE) in 1990-2012. Then, we used the Partial Least Squares (PLS) method to analyze the drivers of the CE. It was found the EC and the CE of Beijings construction industry in 1990 was 8.1 PJ and 0.99 Mt, respectively. They grew up to 30.6 PJ and 4.52 Mt in 2012. The increasing number was 22.5 PJ and 3.53 Mt with an average annual growth rate of 6.23% and 7.15%. The sources of CE were mainly arising from electricity, diesel, gasoline and raw coal. The driver's size of GDP per capita (A) was bigger than population (P). The 1% increase of A or P would make the CE increase 1.758% or 0.105%, respectively. The classical hypothesis of Environmental Kuznet's curve did exist in the CE of Beijing's construction industry. The urbanization rate increased 1%, to some extent, would make the CE decrease 0.421%. The improvement of scientific study itself cannot make the CE decrease. Only when the gotten achievements were transformed into the concrete technology and used in real life, the CE might decrease. So, it was necessary to speed up the new-type urbanization strategies, the development pattern's upgrade and transformation of economy and to continue to carry out national relevant policies on controlling population growth.

Taking Jiangxi of China as an example, we, firstly, accounted the energy consumption (EC) and carbon emission (CO2, CE) of this provinces tourism transport in recently 13 years. Then, we used the Partial Least Squares (PLS) method to analysis the drivers of the CE. Results show that: 1Respectively, the EC and CE of tourism transport in Jiangxi in 1999 were 4.2 PJ and 0.46 Mt. They grew up to 31.9 PJ and 3.59 Mt in 2011. The increasing amounts were 27.7 PJ and 3.13 Mt, with an average annual growth rate of 18.4% and 18.6%. These meant that with the improvement of living standards, more and more people engaged in the activities of tourism industry. 2The consumption demand of peoples tourism had been greatly released in 2004 and 2011, which could arise from the influences of the "SARS" in 2003 and the global financial crisis in 2008, respectively. 3The importance of the latent drivers can be sorted as the following order: A2 (square of GDP per capita), A (GDP per capita), T (carbon intensity), T1 (EC intensity) and P (population). The impact on the CE from T2 (the factor denoted by T/T1) is negligible. The impact of U (urbanization rate) is little. The A2, A, T, T1 and P have an increase of 1%. The corresponding CE will have an increase of 0.275%, 0.259%, 0.148%, 0.145% and 0.131%, respectively. In the end, some suggestions are proposed for local development: to speed up the pattern's upgrade of the development, to promote the implementation of energy saving, to improve the technical level and energy efficiency so as to reduce the regional energy intensity, to go on controlling population growth and to boost the new-type urbanization, to some extent.