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<p>This paper conducts a comprehensive analysis of the types of tourism resources in ethnic regions and develops a framework for tourism supply-side reform in these areas, emphasizing the role of tourism talent resources. Utilizing the BCC and Malmquist models of Data Envelopment Analysis (DEA), this study measures the technical efficiency, pure technical efficiency, scale efficiency, and total factor productivity of selected ethnic regions from 2006 to 2015. Employing panel data, the study examines the current status and trends of human resources and tourism economic growth, using regression analysis and the Granger causality test to investigate their relationship. The findings reveal a strong correlation coefficient of 0.93 between the number of tourism employees and tourism economic growth in Ethnic Group A over the study period. The regression significance level is 0.000, indicating a probability less than 0.05, which confirms a positive correlation between the level of tourism human resources and regional tourism supply-side reforms that enhance collective wealth. This research contributes a novel perspective to the discourse on high-quality tourism development and regional economic growth.</p>
</abstract>

This paper conducts a comprehensive analysis of the types of tourism resources in ethnic regions and develops a framework for tourism supply-side reform in these areas, emphasizing the role of tourism talent resources. Utilizing the BCC and Malmquist models of Data Envelopment Analysis (DEA), this study measures the technical efficiency, pure technical efficiency, scale efficiency, and total factor productivity of selected ethnic regions from 2006 to 2015. Employing panel data, the study examines the current status and trends of human resources and tourism economic growth, using regression analysis and the Granger causality test to investigate their relationship. The findings reveal a strong correlation coefficient of 0.93 between the number of tourism employees and tourism economic growth in Ethnic Group A over the study period. The regression significance level is 0.000, indicating a probability less than 0.05, which confirms a positive correlation between the level of tourism human resources and regional tourism supply-side reforms that enhance collective wealth. This research contributes a novel perspective to the discourse on high-quality tourism development and regional economic growth.

Supply Side Reform of Tourism in Ethnic Areas Empowers Common Wealth--The Perspective of Tourism Talent Resources

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper conducts a comprehensive analysis of the types of tourism resources in ethnic regions and develops a framework for tourism supply-side reform in...

Supply Side Reform of Tourism in Ethnic Areas Empowers Common Wealth--The Perspective of Tourism Talent Resources

Online veröffentlicht: 30. Mai 2024

Seitenbereich: -

Eingereicht: 17. Feb. 2024

Akzeptiert: 18. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1220

Schlüsselwörter
BCC model, Malmquist model, Granger causality test, Regression analysis, Tourism talent resources

© 2024 Wenzhe Zhou, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Supply Side Reform of Tourism in Ethnic Areas Empowers Common Wealth--The Perspective of Tourism Talent Resources

Online veröffentlicht: 30. Mai 2024

Seitenbereich: -

Eingereicht: 17. Feb. 2024

Akzeptiert: 18. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1220

SchlüsselwörterBCC model, Malmquist model, Granger causality test, Regression analysis, Tourism talent resources

© 2024 Wenzhe Zhou, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
BCC model, Malmquist model, Granger causality test, Regression analysis, Tourism talent resources