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Research On Green Total Factor Productivity Of Tourism In Western China

Posted on:2024-03-17Degree:MasterType:Thesis
Country:ChinaCandidate:L H HeFull Text:PDF
GTID:2569306935964109Subject:Population, resource and environmental economics
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The 20 th National Congress of the Communist Party of China pointed out that building the national western ecological security barrier and the modernization of the coexistence of people and resources,we should anchor the goal,strengthen confidence.As an important support for the economic development of the western region,tourism should conform to the trend of the times,which is bound to be an important part of high-quality development.However,with the expansion of tourism,the problems such as resource waste and ecological destruction are becoming more and more serious.the research on the input and output efficiency of tourism in western region has become an important topic.First of all,This paper uses the "bottom-up" method to calculate and analyze the energy consumption and carbon emissions of tourism in the western China.Secondly,take carbon emissions as an unexpected output,and use the EBM model and Malmquist-Luenberger index to calculate the green total factor productivity(GTFP)of tourism in the western region from2001 to 2020 in two dimensions of time and space.Thirdly,we use exploratory spatial data analysis method to analyze the green total factor productivity of tourism in western China from the time and space dimensions.Finally,we use the Spatial Durbin Model to explore the factors of western China’s tourism GTFP.The specific research results are as follows:(1)The energy consumption and carbon emissions of tourism in the western region show a trend of high in the southwest and low in the northwest,and Sichuan and Guizhou are growing rapidly.In 2018,Guizhou surpassed Sichuan for the first time and ranked first in the energy consumption and carbon emissions of tourism in the western region;(2)The GTFP of tourism industry in the western region has generally shown a trend in the past 20 years,but has not reached the effective value level.Qinghai,Ningxia and Inner Mongolia are in a state of fluctuating decline.On the whole,the green total factor productivity of tourism industry in the southwest region is higher than that in the northwest region;(3)The ML index of the tourism industry in the western region has increased by 30.2% in the past 20 years.The rise and fall trend of the technical progress index TC is almost synchronous with that of the ML index,while the change trend of the technical efficiency index EC is mostly opposite to that of the ML index,indicating that technological progress plays a greater role in promoting the GTFP of the tourism industry.Regionally,the GTFP index of tourism in northwest China is higher than the average level in western China;(4)The GTFP of tourism in the western provinces shows a significant positive correlation.Further local autocorrelation tests show that most of the central and western provinces in the Moran Scatter Map show a high high concentration and low low concentration relationship.Most of the southwest regions show a high high concentration relationship,while the northwest regions mainly show a low low concentration and high low concentration;(5)Using Lagrange test,Hausman test and LR test,it is found that the spatial Durbin Model is the most appropriate for regression analysis.The industrial structure and urbanization level have a positive effect on the GTFP of the tourism industry in this region and its neighbors.Environmental regulation has no significant impact on the improvement of the GTFP of the tourism industry.The level of knowledge and technology and tourism encomic scale and energy consumption intensity has a significant negative impact on the promotion of GTFP of tourism.Finally,based on the above analysis,this paper proposes strategies to improve the green total factor productivity of tourism in the western region.
Keywords/Search Tags:Tourism, Green total factor productivity, EBM-ML model, Moran’I index, Spatial Durbin Model
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