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Study on Increase of Farmers' Income in Tibet from an Ecological Tourism Perspective——A Case Study of Puqu Town in Nyingchi County
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作者 Gong Hongmei Song Lianjiu 《Meteorological and Environmental Research》 CAS 2015年第4期8-10,共3页
Based on investigation data of farmers' income in Puqu Town, Nyingchi County during 2008 -2013, sources of farmers' income and effects of ecological tourism on increase of farmers' income in Puqu Town were analyzed... Based on investigation data of farmers' income in Puqu Town, Nyingchi County during 2008 -2013, sources of farmers' income and effects of ecological tourism on increase of farmers' income in Puqu Town were analyzed. The results show that crop farming and animal husbandry are still main sources of increase of farmers' income, and ecological tourism has played increasingly important roles in increase of farmers' income; household productive management income is dominant but increases slowly, but household service management income increases rapidly; all kinds of subsidies also contribute to increase of farmers' income; ecological tourism and increase of farmers' income show rational retum trends to a cer- tain degree; because of shortcomings in tourism management, ecological tourism in Puqu Town develops slowly; the overall development of ecolog- ical tourism is not consistent with increase of farmers' income. 展开更多
关键词 Increase of farmers' income Ecological tourism Effect Puqu Town China
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The Characteristics and Driving Factors of the Spatio-temporal Dynamic Evolution of Tourism Ecological Security in the Silk Road Economic Belt
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作者 WANG Shu LIU Fenglian +1 位作者 YANG Lei CAI Wei 《Journal of Resources and Ecology》 2024年第4期1054-1067,共14页
The exploration of ecological safety in tourism sites can provide a concrete path for sustainable tourism development in a region.Based on the“Driver-Pressure-State-Impact-Response”(DPSIR)model,we constructed an ind... The exploration of ecological safety in tourism sites can provide a concrete path for sustainable tourism development in a region.Based on the“Driver-Pressure-State-Impact-Response”(DPSIR)model,we constructed an index system for the evaluation of tourism ecological security(TES)in the Silk Road Economic Belt(SREB)from 2005 to 2020.This index system was used to explore the characteristics of spatial and temporal dynamic evolution with the help of entropy weight TOPSIS method,dynamic index of TES and Markov probability transfer matrix,and a standard deviational ellipse(SDE)model and GM(1,1)model were constructed for spatial pattern analysis and prediction.The results indicate four key aspects of this system.(1)In terms of spatiotemporal evolution,the tourism ecological safety index(TESI)of the SREB increased,the TES levels of the northwestern and southwestern provinces and cities differed significantly,and the quality conditions of TES in the southwestern provinces and cities were better than in the northwest.(2)In terms of dynamic evolutionary characteristics,the speed of change at each level of the SREB was slow,but the level of TES has improved.The TES level has not shifted by leaps and bounds,and the shifts in the level type show“path dependence”and“self-locking”effects.(3)In terms of spatial and temporal distribution patterns,the spatial pattern of TES in the SREB is a“northwest-southeast”movement trend,and the spatial distribution appeared as“aggregation”from 2005 to 2020.The prediction results show that the center of gravity of TES in the SREB will shift to the southeast from 2025 to 2035,and the spatial spillover effect will be reduced.(4)In terms of driving factors,the number of star-rated hotels,and the amounts of industrial wastewater emissions,tourism foreign exchange earnings,forest coverage,and other parameters are the key factors affecting TES,and the booming tourism industry requires the interconnection and interpenetration of various factors.The results of this study can provide a reference for tourism development and ecological environmental protection in the Silk Road Economic Belt. 展开更多
关键词 tourism ecological security spatial-temporal evolution drivers Geo-detector the Silk Road Economic Belt
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