| Energy saving and emission reduction in tourism industry should be obeyed in the logic from measurement, neutralization to compensation. But more research in china used bottom-up method to measure carbon emission of tourism industry to ignore the indirect carbon emission of tourism industry because of the difference of life cycle of tourism sectors in earlier stage, middle stage and later stage, from a perspective of consumption-direct production. From a perspective of complete production between production and consumption, this dissertation combined life cycle assessment (LCA) theory and input-output analysis, defined carbon emission of tourism industry as carbon emission of all sectors in national economy in the chain from material, middle product to tourism product induced by the final demands, including the direct and indirect carbon emission of tourism industry. The dissertation reviewed key knowledge points both of tourism and climate change and driving forces in carbon emission, combined life cycle assessment (LCA) theory with input-output analysis (IOA), optimized measurement framework for carbon emission in tourism industry in China, utilized structural decomposition analysis (SDA) and index decomposition analysis (IDA) to study the driving forces for the total and direct carbon emission in tourism in China from 1997 to 2010.System of National Account (SNA), Tourism Satellite Account (TSA) and System of Integrated Environment and Economic Accounting (SEEA), and used economic data from System of National Account (SNA) and National Tourism Satellite Account (TSA), referred the standard of System of Integrated Environment and Economic Accounting (SEEA), constructed Tourism Integrated Environment and Economic Accounting (TSEEA) and calculated the direct carbon emission of tourism industry. Further, it used life cycle assessment (LCA) theory and input-output method to calculate the indirect carbon emission of tourism industry, based on Tourism Integrated Environment and Economic Accounting (TSEEA). And 24-step framework for carbon emission of tourism industry was built on. The main research finding followed as:Firstly, for the theory of calculation of carbon emission of tourism industry, the dissertation used international normalization files, such as, Tourism Satellite Account: Recommended Methodological Framework (TSA:RMF 2008), System of National Account (SNA 2008), and System of Integrated Environment and Economic Accounting (SEEA2012), considered key factors, such as economic measurement system in China, statistical standard and research need, used life cycle assessment (LCA) theory and input-output analysis (IOA), optimized the top-down measurement framework for tourism industry put forward by Li (2012), Zhong, Shi & Li(2014), by adding immediate input for tourism industry and optimizing energy data, finally constructed the measurement model for carbon emission in tourism industry in China.Secondly, for the calculation of direct carbon emission of tourism industry, the total of direct CO2 emission of tourism industry was 32.3899,46.5519,41.2022,32.7702,44.3189, 47.4254 million tons from 1997,2000,2002,2005,2007,2010, covered 1.05%,1.63%, 1.19%,0.59%,0.71%,0.68% in the total of CO2 emission in China. The total of CO2 emission of tourism industry was 17th in all industries (23 industries).Thirdly, for the calculation of indirect carbon emission of tourism industry, the total of indirect CO2 emission of tourism industry was 80.8550,88.6674,90.6383,99.9700,124.23, 142.6976 million tons from 1997,2000,2002,2005,2007,2010, covered 2.62%,3.11%, 2.62%,1.81%,1.99%,2.03% in the total of CO2 emission in China. For all industries in China, the coking, gas and petroleum refining industry, the transportation and warehousing industry, the machinery and equipment manufacturing industry, the food production and tobacco processing industry had a large impact of the indirect CO2 emission of tourism industry.Fourthly, for the total of calculation of carbon emission of tourism industry, the total of CO2 emission of tourism industry was 113.2449,135.2193,131.8405,32.7402, 168.5489,190.123 million tons from 1997,2000,2002,2005,2007,2010, covered 3.67%, 4.74%,3.81%,2.41%,2.69%,2.71% in the total of CO2 emission in China. And, the proportion of the total of CO2 emission of tourism industry in the total of CO2 emission of all industries, and the total of CO2 emission in China was gradually raised.Fifthly, for analysis of driving forces of the total carbon emission in tourism industry, its driving forces could be divided into energy consumption intensity of economic sectors, middle demand structure of economic sectors, energy consumption structure of economic sectors, consumption structure of visitors, the total of tourism economy of domestic tourism, the total of tourism economy of international tourism, and economic structure among sectors in tourism industry. The finding showed that the total of tourism economy of domestic tourism, the total of tourism economy of international tourism, economic structure among sectors in tourism industry, contributed 67.89% of the rise of the total carbon emission of tourism industry per year, respectively,263.43%,61.78%,1.48% from 1997 to 2010. Energy consumption intensity of economic sectors, middle demand structure of economic sectors, energy consumption structure of economic sectors, and consumption structure of visitors reduced the total carbon emission of tourism industry, respectively,-208.61%,-17.17%,-0.85%,-0.06% from 1997 to 2010. Additionally, the total of tourism economy of domestic tourism was the biggest raising driving force, and energy consumption intensity of economic sectors was the important reducing one.Sixthly, for analysis of driving forces of the direct carbon emission in tourism industry, its driving forces could be divided into energy consumption intensity of not-transportation sectors in tourism industry, energy consumption intensity for tourism itinerary, energy consumption structure of sectors in tourism industry, the amount of visitors, the average transportation distance for visitors, personal consumption for visitors, the economic structure among not-transportation sectors in tourism industry. The amount of visitors, the average transportation distance for visitors, personal consumption for visitors, the economic structure among not-transportation sectors in tourism industry, contributed 10.80% of the rise of the direct carbon emission of tourism industry per year, respectively,140.73%, 6.44%,3.16%,0.70% from 1997 to 2010. Energy consumption intensity of not-transportation sectors in tourism industry, energy consumption intensity for tourism itinerary, energy consumption structure of sectors in tourism industry, respectively,-33.82%,-11.66%,-0.81% from 1997 to 2010. Additionally, the amount of visitors receipted was the biggest raising driving force, and energy consumption intensity of not-transportation sectors in tourism industry was the important reducing one,Moreover, for the measurement of carbon emissions, after the optimization of the measurement object, the finding showed that the direct carbon emission in tourism industry had a more substantial reduction in emissions, indirect emissions had increased greatly, and the total tourism carbon remained substantially unchanged. On carbon emissions driving force, the effect of the scale was a major factor in promoting the increase in carbon emissions, energy intensity was the main factor inhibiting the increase in carbon emissions, the structural effect has little effect on increase of carbon emissions, and the activity intensity effect would help carbon emission in tourism industry in the future. For the growth rate of carbon dioxide emission, the growth rate for China economy and one for tourism industry were basically the same, the peaks and troughs for the latter coincides with the ones of the shift for the former. And the growth rate for the total carbon emission seemed steeper and greater amplitude than the ones for China economy and the direct carbon emission in tourism industry. As time went on, frequency of the former would be smaller than the one of the latter.
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