Reducing carbon emissions and transitioning to a low-carbon economy are important propositions for human sustainability. Since it is closely related with high carbon emissions, international travel makes a substantial...Reducing carbon emissions and transitioning to a low-carbon economy are important propositions for human sustainability. Since it is closely related with high carbon emissions, international travel makes a substantial contribution to the global carbon emissions. To comprehensively explore the influence of international travel on carbon emissions and develop a sustainable development plan, this paper studies the temporal and spatial distribution and evolution of the carbon footprint of inbound tourism in China’s 30 provinces between 2007 and 2017. In this study, comprehensive calculations and spatial models are adopted to reveal the temporal and spatial characteristics. The results show that the carbon footprint of inbound tourism in China has been increasing continuously from 2007 to 2017. While the carbon footprint increased by 1.94-fold, from 5.623 million tons to 10.8809 million tons, it presented obvious fluctuations by initially increasing rapidly and then dropping slightly. From the perspective of the contributions of various tourism components on the carbon footprint, transportation and post and telecommunications account for the largest proportions. In the past ten years, the variations in the carbon footprint of inbound tourism in most provinces and cities in China were not very extreme, but maintained a relatively stable state. In the spatial dimension, the carbon footprint of China’s inbound tourism tends to decrease from the southeast to the northwest. The highest coefficient of variation is in Ningxia and the lowest is in Liaoning. Based on these results, recommendations are put forward for sustainable development plans in some major cities and provinces for the future.展开更多
Despite the rapid development of flower-viewing tourism in China in recent years,there is almost no systematic research on it.Therefore,this study analyzes the spatial and temporal distribution characteristics of flow...Despite the rapid development of flower-viewing tourism in China in recent years,there is almost no systematic research on it.Therefore,this study analyzes the spatial and temporal distribution characteristics of flower-viewing tourism and its influencing factors in China using the spatial statistical analysis methods and the geographic detector method.The study uses the Point-of-Interest data of flower-viewing tourist attractions from networks such as Qunar and Ctrip,the flower observation data from China Phenological Observation Network,Chinese network news,and Weibo,and the statistical data from yearbooks.The results are as follows:1)The spatial attribution type of flower-viewing tourism in China is aggregated into areas,including two high-density aggregated areas,three medium-density aggregated areas,and one general-density aggregated area.Furthermore,five major types of flower-viewing tourist attractions have formed several aggregated areas.2)The time of flower viewing in China starts from about February and lasts about eight months till October each year.Florescence and flowering time of different ornamental flowers in different regions are different.3)The spatial and temporal distribution characteristics of flower-viewing tourism in China are mainly affected by ornamental flower phenology,spatial distribution characteristics of flower-viewing resources,regional permanent population size,youth population size,female population size,regional GDP,and added value of the tertiary sector.These conclusions clarify the spatial and temporal distribution characteristics of flower-viewing tourism and its influencing factors in China.They could provide a scientific basis and useful reference for the coordination and sustainable development of regional flower-viewing tourism in China.展开更多
基金The National Natural Science Foundation of China (42001155, 41571139)。
文摘Reducing carbon emissions and transitioning to a low-carbon economy are important propositions for human sustainability. Since it is closely related with high carbon emissions, international travel makes a substantial contribution to the global carbon emissions. To comprehensively explore the influence of international travel on carbon emissions and develop a sustainable development plan, this paper studies the temporal and spatial distribution and evolution of the carbon footprint of inbound tourism in China’s 30 provinces between 2007 and 2017. In this study, comprehensive calculations and spatial models are adopted to reveal the temporal and spatial characteristics. The results show that the carbon footprint of inbound tourism in China has been increasing continuously from 2007 to 2017. While the carbon footprint increased by 1.94-fold, from 5.623 million tons to 10.8809 million tons, it presented obvious fluctuations by initially increasing rapidly and then dropping slightly. From the perspective of the contributions of various tourism components on the carbon footprint, transportation and post and telecommunications account for the largest proportions. In the past ten years, the variations in the carbon footprint of inbound tourism in most provinces and cities in China were not very extreme, but maintained a relatively stable state. In the spatial dimension, the carbon footprint of China’s inbound tourism tends to decrease from the southeast to the northwest. The highest coefficient of variation is in Ningxia and the lowest is in Liaoning. Based on these results, recommendations are put forward for sustainable development plans in some major cities and provinces for the future.
基金The National Key Research and Development Program of China(2019YFB1405600)The General Project of Scientific Research Program of Beijing Municipal Education Commission(SM202110031002)+1 种基金The Humanities and Social Sciences Foundation of the Ministry of Education in China(18YJA630102)The Youth Academic Talents Project of Beijing International Studies University(21110010005).
文摘Despite the rapid development of flower-viewing tourism in China in recent years,there is almost no systematic research on it.Therefore,this study analyzes the spatial and temporal distribution characteristics of flower-viewing tourism and its influencing factors in China using the spatial statistical analysis methods and the geographic detector method.The study uses the Point-of-Interest data of flower-viewing tourist attractions from networks such as Qunar and Ctrip,the flower observation data from China Phenological Observation Network,Chinese network news,and Weibo,and the statistical data from yearbooks.The results are as follows:1)The spatial attribution type of flower-viewing tourism in China is aggregated into areas,including two high-density aggregated areas,three medium-density aggregated areas,and one general-density aggregated area.Furthermore,five major types of flower-viewing tourist attractions have formed several aggregated areas.2)The time of flower viewing in China starts from about February and lasts about eight months till October each year.Florescence and flowering time of different ornamental flowers in different regions are different.3)The spatial and temporal distribution characteristics of flower-viewing tourism in China are mainly affected by ornamental flower phenology,spatial distribution characteristics of flower-viewing resources,regional permanent population size,youth population size,female population size,regional GDP,and added value of the tertiary sector.These conclusions clarify the spatial and temporal distribution characteristics of flower-viewing tourism and its influencing factors in China.They could provide a scientific basis and useful reference for the coordination and sustainable development of regional flower-viewing tourism in China.
