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Drivers of employment effects in tourism-related sectors: the case of Mainland China
Tourism Review of AIEST - International Association of Scientific Experts in Tourism ; 78(3):849-873, 2023.
Article in French | ProQuest Central | ID: covidwho-2323543
ABSTRACT
PurposeTourism is a labor-intensive sector with extensive links to other industries and plays a vital role in creating employment. This study aims to propose a new framework to analyze the intrinsic structure of the employment effects of tourism-related sectors and their drivers.Design/methodology/approachThis study uses input–output and structural decomposition analysis (IO-SDA) to quantify the employment effects of tourism-related sectors and their driving mechanisms based on China's I-O tables of 2002, 2007, 2012 and 2017.FindingsThe results show a declining trend in the intensity of direct or indirect employment effects in tourism-related sectors, indicating a decreasing number of jobs directly or indirectly required to create a unit of tourism output. Among tourism-related sectors, catering has the highest intensity of indirect employment effects over the study period. Catering stimulates the indirect employment of agriculture, forestry, animal husbandry, fishery and food and tobacco manufacturing. The decomposition analysis reveals that final demand is the largest contributor to the increase in tourism employment, while technological progress shifts from an employment-creation effect in 2002–2012 to an employment-destruction effect in 2012–2017.Originality/valueThis study proposes a new analytical framework to investigate the structural proportional relationship between the direct and indirect employment effects of various tourism-related sectors and their dynamic changes. Doing so, it provides valuable references for policymakers to promote tourism employment.
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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Type of study: Experimental Studies Language: French Journal: Tourism Review of AIEST - International Association of Scientific Experts in Tourism Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Type of study: Experimental Studies Language: French Journal: Tourism Review of AIEST - International Association of Scientific Experts in Tourism Year: 2023 Document Type: Article