English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Previous studies that have explored the factors influencing wage changes in tourism have generally been confined to supply-side analysis, ignoring the impact of final demand on wage changes through the mechanism of inter-industry linkages. To this end, this study proposes a novel framework that combines input-output analysis with the logarithmic mean Divisia index method to examine wage levels and their changes in tourism-related industries and to clarify how final demand affects wage changes. The empirical results for China reveal significant wage differences among tourism-related industries, with accommodation and catering sectors consistently exhibiting a low-wage profile. In addition, the decomposition results show that the wage changes from 2002 to 2017 were mainly caused by the positive role of the total final demand effect and the negative role of the labour compensation coefficient effect. The final demand structure effect and Leontief structural effect are potential drivers of wage growth.

What caused the wage changes in tourism-related industries? A demand-side analysis based on an extended input-output model