Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281738708> ?p ?o ?g. }
- W4281738708 endingPage "6951" @default.
- W4281738708 startingPage "6951" @default.
- W4281738708 abstract "Eco-efficiency analysis can provide useful information about sustainability in the tourism industry, which has an important role in both global economy recovery and Sustainable Development Goals (SDGs), generating considerable indirect carbon emissions with respect to the supply chain due to its significant connections to other industries. This study, from the perspective of tourism sectors, including tourism hotels, travel agencies, and scenic spots, integrated the environmentally extended input–output analysis (EEIO) and data envelopment analysis (DEA) models to develop a research framework, analyzing the indirect carbon emissions of the tourism supply chain, evaluating eco-efficiency with respect to both direct carbon emissions and total carbon emissions (including direct and indirect parts), and exploring the driving factors of eco-efficiency of tourism sectors using Tobit regression models. This study took Gansu as a case, a province in China characterized by higher carbon intensity, an underdeveloped economy, and rapid tourism growth. The results demonstrate that (1) tourism hotels contribute the most carbon emissions in tourism sectors, especially indirectly due to the supply chain, with carbon emissions mainly resulting from the manufacturing of food and tobacco; (2) the eco-efficiency of tourism sectors in Gansu presents a U-shaped curve, which is consistent with Kuznets’ theory; and (3) energy technology is key to improving the eco-efficiency of tourism sectors. The research results provide a clear path for the reduction of carbon emissions and the improvement of eco-efficiency in Gansu tourism sectors. Against the backdrop of global climate change and the post-COVID-19 era, our research framework and findings provide a reference for similar regions and countries who are in urgent need of rapid tourism development to effect economic recovery." @default.
- W4281738708 created "2022-06-13" @default.
- W4281738708 creator A5005798301 @default.
- W4281738708 creator A5015470605 @default.
- W4281738708 creator A5018250803 @default.
- W4281738708 creator A5022117460 @default.
- W4281738708 creator A5024849779 @default.
- W4281738708 creator A5055865967 @default.
- W4281738708 creator A5081842836 @default.
- W4281738708 date "2022-06-06" @default.
- W4281738708 modified "2023-10-05" @default.
- W4281738708 title "Eco-Efficiency and Its Drivers in Tourism Sectors with Respect to Carbon Emissions from the Supply Chain: An Integrated EEIO and DEA Approach" @default.
- W4281738708 cites W1967228683 @default.
- W4281738708 cites W1984327831 @default.
- W4281738708 cites W1984402735 @default.
- W4281738708 cites W1986714427 @default.
- W4281738708 cites W2002832883 @default.
- W4281738708 cites W2017041428 @default.
- W4281738708 cites W2044899631 @default.
- W4281738708 cites W2044973706 @default.
- W4281738708 cites W2057233992 @default.
- W4281738708 cites W2060859453 @default.
- W4281738708 cites W2062894130 @default.
- W4281738708 cites W2110004723 @default.
- W4281738708 cites W2113149082 @default.
- W4281738708 cites W2140627696 @default.
- W4281738708 cites W2218191167 @default.
- W4281738708 cites W2519551954 @default.
- W4281738708 cites W2562755069 @default.
- W4281738708 cites W2604339671 @default.
- W4281738708 cites W2734199432 @default.
- W4281738708 cites W2736573909 @default.
- W4281738708 cites W2760805780 @default.
- W4281738708 cites W2760889115 @default.
- W4281738708 cites W2763175249 @default.
- W4281738708 cites W2765238812 @default.
- W4281738708 cites W2771827650 @default.
- W4281738708 cites W2789966377 @default.
- W4281738708 cites W2790058439 @default.
- W4281738708 cites W2801352948 @default.
- W4281738708 cites W2899300694 @default.
- W4281738708 cites W2911288947 @default.
- W4281738708 cites W2937241955 @default.
- W4281738708 cites W2945757657 @default.
- W4281738708 cites W2946467743 @default.
- W4281738708 cites W2949082133 @default.
- W4281738708 cites W2958516104 @default.
- W4281738708 cites W2964989659 @default.
- W4281738708 cites W2969559591 @default.
- W4281738708 cites W2979408754 @default.
- W4281738708 cites W2983576462 @default.
- W4281738708 cites W2996850694 @default.
- W4281738708 cites W2998965128 @default.
- W4281738708 cites W3009821941 @default.
- W4281738708 cites W3009856624 @default.
- W4281738708 cites W3011268138 @default.
- W4281738708 cites W3011914879 @default.
- W4281738708 cites W3013996935 @default.
- W4281738708 cites W3023396755 @default.
- W4281738708 cites W3023626893 @default.
- W4281738708 cites W3032390071 @default.
- W4281738708 cites W3033126674 @default.
- W4281738708 cites W3038507759 @default.
- W4281738708 cites W3040790198 @default.
- W4281738708 cites W3041250787 @default.
- W4281738708 cites W3043681739 @default.
- W4281738708 cites W3082890362 @default.
- W4281738708 cites W3086981070 @default.
- W4281738708 cites W3087044781 @default.
- W4281738708 cites W3090218653 @default.
- W4281738708 cites W3100175387 @default.
- W4281738708 cites W3126516874 @default.
- W4281738708 cites W3161674133 @default.
- W4281738708 cites W3163618287 @default.
- W4281738708 cites W3192486725 @default.
- W4281738708 cites W3209612881 @default.
- W4281738708 cites W3209935135 @default.
- W4281738708 cites W4200169013 @default.
- W4281738708 cites W4220970272 @default.
- W4281738708 cites W4300395170 @default.
- W4281738708 doi "https://doi.org/10.3390/ijerph19116951" @default.
- W4281738708 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35682534" @default.
- W4281738708 hasPublicationYear "2022" @default.
- W4281738708 type Work @default.
- W4281738708 citedByCount "11" @default.
- W4281738708 countsByYear W42817387082022 @default.
- W4281738708 countsByYear W42817387082023 @default.
- W4281738708 crossrefType "journal-article" @default.
- W4281738708 hasAuthorship W4281738708A5005798301 @default.
- W4281738708 hasAuthorship W4281738708A5015470605 @default.
- W4281738708 hasAuthorship W4281738708A5018250803 @default.
- W4281738708 hasAuthorship W4281738708A5022117460 @default.
- W4281738708 hasAuthorship W4281738708A5024849779 @default.
- W4281738708 hasAuthorship W4281738708A5055865967 @default.
- W4281738708 hasAuthorship W4281738708A5081842836 @default.
- W4281738708 hasBestOaLocation W42817387081 @default.
- W4281738708 hasConcept C108713360 @default.
- W4281738708 hasConcept C126255220 @default.