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Framework for accounting for tourism carbon emissions in China

An industrial linkage perspective

Datos Bibliográficos

ID21689321
AutoresJianping Zha (0000-0002-3087-218X, Sichuan University, People’s Republic of China), Ruyan Fan (0000-0002-2764-8144, Sichuan University, People’s Republic of China), Rong Fan (0000-0002-3388-0847, Sichuan University, People’s Republic of China), Fan Rong (0000-0002-4224-7189, Sichuan University), Yao Yao (0000-0002-6723-6152, Sichuan University, People’s Republic of China), Lamei He (0000-0002-0373-0530, Sichuan University, People’s Republic of China, autor de correspondencia), Yuanyuan Meng (0000-0002-1338-0132, Hebei University of Environmental Engineering, People’s Republic of China)
Año2021
Volumen27
Número7
Páginas1430-1460
Fecha de publicación2021-11-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaTourism Economics (JOURNAL)
Identificadores de la revistaISSN: 1354-8166 • E-ISSN: 2044-0375
EditorialSAGE Publications (PUBLISHER • US)
DOI10.1177/1354816620924891
OpenAlexW3033437216
IdiomaEN
Citas recibidas15
Referencias citadas58

Understanding tourism carbon emissions and their influencing factors from the perspective of industrial linkages can inform policy-making in the development of sustainable tourism. Based on a combination of the environmental input–output (I-O) model and structural decomposition analysis, this article develops a novel framework for analyzing the industrial linkage pathways of China’s carbon emissions linked to tourism and identifying the driving factors affecting change in carbon emissions embodied in the supply chain. Results reveal that most carbon emissions linked to China’s broad-sense or narrow-sense tourism industry derive from some critical upstream industries, that is, indirect carbon emissions resulting from the intermediate production processes. Significant differences exist in the industrial linkage pathways of carbon emissions between tourism subsectors; thus, emission reduction policies for the broad-sense or narrow-sense tourism industry should be formulated based on these key interindustrial linkage pathways. The direct energy consumption intensity effect and energy structure effect are beneficial to carbon emission reduction, while the I-O structure effect reverses the effect on carbon emission reduction from negative to positive

Business · Carbon fibers · China · Economic geography · Economics · Environmental economics · Geography · Greenhouse gas · Industrial organization · Input–output model · Market economy · Natural resource economics · Tourism · Chemistry · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Environmental Sustainability in Business · Ecology

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Obras citantes distintas15
Citas por año3
Intervalo de citas2021 - 2026 (6)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 13
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