The Synergistic Evolution Characteristics and Influencing Factors of Tourism Economy and Urban Green Development Efficiency in the Yellow River Basin DOI Open Access
Weimin Gong, Chengxin Wang,

Dan Men

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8519 - 8519

Published: Sept. 30, 2024

In the context of “ecological priority and green development” strategy, examining co-evolution between tourism economy efficiency urban development can offer both theoretical insights quantitative foundations to support ecological preservation high-quality in China’s Yellow River Basin. This research utilized approaches such as Haken model geographically temporally weighted regression investigate spatiotemporal patterns, synergistic characteristics, driving factors within The findings reveal following: (1) Regional disparities are progressively widening, whereas tends decline. Furthermore, display “high-high clustering” “low-low spatially. (2) evolution two systems displays spatial characteristics transitioning from polarization trickle-down effects. (3) Natural topography vegetation coverage, well human economic like industrial structure degree openness, positively promote synergy. However, elements temperature, precipitation, level, openness innovation have a certain inhibitory effect on evolution.

Language: Английский

Sustainable Development of the Infrastructure of the City of Astana Since the Establishment of the Capital as a Factor of Tourism Development DOI Open Access
Жарас Берденов,

Yersin Kakimzhanov,

Kamshat Maksutovna Arykbayeva

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10931 - 10931

Published: Dec. 13, 2024

The underdevelopment of tourism infrastructure remains a critical barrier to the growth sector in both capital and regional areas. This article examines concept structure infrastructure, synthesizes methodological approaches for its evaluation, identifies strengths limitations these approaches. study introduces novel methodology assessing development city. Based on assessment, city’s regions are categorized into four levels development: high, above average, below average. findings highlight key factors driving obstacles limiting progress, while also proposing strategic directions enhancement. Achieving optimal provision is identified as crucial condition advancing sector. should be prioritized economic policy. In line with state’s “Concept Development Tourism Industry Republic Kazakhstan 2023–2029”, this emphasizes need streamlined precise classification components based comprehensive framework. evaluation conducted using an integrated indicator that captures level elements: accommodation international event venues, access leisure entertainment. Additionally, provides comparative analysis current state relative early stages capital’s tracks dynamics indicators from 2010 2024. Several interrelated challenges affecting have been identified. Notably, reveals hosting events forums has significantly boosted inbound compared averages Kazakhstan, although it constrained potential business other regions. practical insights derived offer understanding Astana, which can inform future research policy major urban

Language: Английский

Citations

1

Green development in the Chengdu-Chongqing economic zone: evolution and drivers from a “production-living-ecology” perspective DOI Creative Commons
Kangwen Zhu, Tianyu Wang, Jun He

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 18, 2024

Green development is key to promoting regional sustainable development. We construct an evaluation index system for green levels based on the “sansheng” dimensions—production, living, and ecology. rely (production, ecology) dimensions, combined with analytic hierarchy process (AHP) entropy weight method analyze indicator weights, levels. This enables identification of evolution patterns analysis driving factors in Chengdu-Chongqing economic zone from perspective. The results indicate that: (1) level Economic Zone has been continuously rising, average increasing 0.197 0.254. Yuzhong District Chengdu City have shown particularly high levels; 2020, reached 0.568, while City’s 0.522. (2) spatial clustering exhibited a trend first strengthening then weakening, highest degree observed 2015. (3) National strategies significantly promoted improvement during pre-establishment, initial development, rapid stages increased 0.205 0.229, (4) Theil show increase disparity among different regions within Zone.The optimal scaling regression model that significant impact include Number physicians per million people, Public library book collections Per 100 capita GDP, secondary schools each contributing over 15% impact. These findings provide valuable data support formulating are conducive advancing

Language: Английский

Citations

1

The Synergistic Evolution Characteristics and Influencing Factors of Tourism Economy and Urban Green Development Efficiency in the Yellow River Basin DOI Open Access
Weimin Gong, Chengxin Wang,

Dan Men

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8519 - 8519

Published: Sept. 30, 2024

In the context of “ecological priority and green development” strategy, examining co-evolution between tourism economy efficiency urban development can offer both theoretical insights quantitative foundations to support ecological preservation high-quality in China’s Yellow River Basin. This research utilized approaches such as Haken model geographically temporally weighted regression investigate spatiotemporal patterns, synergistic characteristics, driving factors within The findings reveal following: (1) Regional disparities are progressively widening, whereas tends decline. Furthermore, display “high-high clustering” “low-low spatially. (2) evolution two systems displays spatial characteristics transitioning from polarization trickle-down effects. (3) Natural topography vegetation coverage, well human economic like industrial structure degree openness, positively promote synergy. However, elements temperature, precipitation, level, openness innovation have a certain inhibitory effect on evolution.

Language: Английский

Citations

0