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Research On Guangxi Tourism Eco-efficiency Based On SBM-Malmquist

Posted on:2021-05-11Degree:MasterType:Thesis
Country:ChinaCandidate:J J WangFull Text:PDF
GTID:2381330611494635Subject:Tourism Management
Abstract/Summary:PDF Full Text Request
Tourism eco-efficiency research is of great significance to reduce the pressure on the ecological environment,improve the efficiency of resource utilization,and promote the sustainable development of regional economy,energy and environment.This article studies the spatial and temporal evolution of Guangxi's tourism eco-efficiency and its influencing factors,with a view to providing scientific countermeasures for improving Guangxi's tourism ecoefficiency,and promoting Guangxi's tourism industry's efficient,green,and sustainable development.The study constructs input indicators from the aspects of labor,capital,and water consumption,and constructs output indicators from the perspective of economic benefits and environmental impacts.Economic benefits are expected output,and environmental impacts are undesired output.The SBM-DEA model and the Malmquist index model are used to measure the ecological efficiency of static tourism and dynamic tourism in Guangxi,respectively,and Tobit regression is performed on the factors affecting the ecological efficiency of tourism in Guangxi.The research conclusions are as follows:(1)A time evolution analysis of Guangxi's tourism eco-efficiency from 2006 to 2018 found that Guangxi's tourism eco-efficiency was in a fluctuating decline during the 11 th Five-Year Plan period,and Guangxi's tourism ecoefficiency was in a fluctuating increase during the 12 th Five-Year Plan period The Fifth Period is in a stage of rapid growth.On the whole,Guangxi's tourism eco-efficiency and decomposition efficiency fluctuated first and then fluctuated during 2006-2008.Scale efficiency is the leading force to promote the improvement of tourism eco-efficiency.Spatial evolution of tourism eco-efficiency in various cities in Guangxi found that tourism ecoefficiency in western Guangxi was higher and tourism eco-efficiency in eastern was lower.Chongzuo City,Beihai City and Baise City have always been in the leading position in tourism ecological efficiency in Guangxi,while Liuzhou City and Wuzhou City have low tourism ecological efficiency,and effective measures need to be implemented as soon as possible to improve tourism ecological efficiency.(2)A time evolution analysis of the dynamic ecoefficiency of Guangxi in 2006-2018.It was found that the average annual eco-efficiency of tourism in Guangxi increased by 2% during the 11 th Five-Year Plan period.During the period,Guangxi's tourism eco-efficiency increased by an average of 19.46% per year.Technological progress is the leading force to promote the improvement of tourism eco-efficiency.Spatial evolution of tourism eco-efficiency in Guangxi cities found that tourism eco-efficiency and technological progress in Guangxi cities are both growing.(3)Tobit regression was carried out on the factors affecting the tourism eco-efficiency in Guangxi,and it was found that the level of tourist attractions below 4A has a significant effect on the promotion of tourism ecoefficiency,and the impact coefficient is 0.008.The level of scenic spots affects tourism ecoefficiency mainly through scale efficiency;the employment structure can significantly improve tourism eco-efficiency,with an impact coefficient of 0.659.The employment structure mainly affects tourism eco-efficiency through scale efficiency.Over time,the proportion of females in tertiary industry The impact of tourism eco-efficiency has changed from insignificant to significant,and the coefficient of influence is getting higher and higher;tourist consumption level has an impeding effect on tourism eco-efficiency,with an impact coefficient of-0.278,which mainly affects tourism eco-efficiency through pure technical efficiency;The industrial structure,economic level and temperature have a promoting effect on tourism ecological efficiency,urbanization has a hindering effect,and the effect of government intervention is not significant.
Keywords/Search Tags:Guangxi, Tourism ecological efficiency, SBM-DEA model, Malmquist index, Influencing factors
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