The spatio-temporal evolution and influencing factors of the coupling coordination degree between tourism supply and demand in the Yangtze river economic belt DOI Creative Commons
Li Liu,

Jin Luo

Computational Urban Science, Journal Year: 2024, Volume and Issue: 4(1)

Published: Dec. 5, 2024

Abstract The imbalance between supply and demand is a pressing issue in the development of tourism industry. Understanding coupling coordination relationship impact mechanism supply-demand system can help achieve high-quality development. This study focuses on Yangtze River Economic Belt (YREB) as research area, quantifies index (TSI) (TDI) from 2011 to 2020 using model, calculates degree (CCD) TSI TDI based explores factors influencing CCD geographic detector. findings indicate that: (1) various provinces show fluctuation but exhibit an overall upward trend. (2) There were apparent spatial disparities CCD, with distribution characteristic high east low other regions. gradually improved, its gravity center slowly shifting toward southwest. All entered intermediate stage since 2014. (3) Basic service guarantee, consumption drive, innovation drive are identified dominant CCD. provide valuable insights for sustainable

Language: Английский

Maximizing Economic and Sustainable Energy Transition: An Integrated Framework for Renewable Energy Communities DOI

Qiuling Teng,

X. Rosalind Wang,

Nasir Hussain

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134544 - 134544

Published: Jan. 1, 2025

Language: Английский

Citations

2
A Dynamic Evolution and Spatiotemporal Convergence Analysis of the Coordinated Development Between New Quality Productive Forces and China’s Carbon Total Factor Productivity DOI Open Access
Xinpeng Gao,

Sufeng Li

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3137 - 3137

Published: April 1, 2025

The core hallmark of new quality productive forces (NQPFs) is a substantial increase in total factor productivity. Developing NQPFs tailored to local conditions significantly promote green, low-carbon, and environmentally sustainable development. This paper selects 30 provinces municipalities China (excluding Hong Kong, Macao, Taiwan, Tibet) as research samples. It employs the super-efficiency Slacks-Based Measure (SBM) model, coupling coordination degree analysis, kernel density estimation, Dagum Gini coefficient, β-convergence analysis measure analyze between carbon productivity (CTFP). results indicate that CTFP exhibits an upward trend overall. At same time, show initial increase, followed by decline, with significant regional variations observed both. There notable heterogeneity CTFP. eastern region demonstrates highest degree, central, western, northeastern regions. primary cause this differential distribution inter-regional disparities, particularly widening gap others. Further reveals that, except for region, dynamic evolution nationwide other regions tends converge. Regarding absolute β-convergence, converges fastest, while western slowest. conditional convergence speeds are consistent, but remain unchanged. study provides important theoretical support achieving balanced development comprehensively enhancing CTFP, ensuring contributions low-carbon economy.

Language: Английский

Citations

1
Assessing green finance and technological innovation's contribution to carbon emission reduction in mineral-based economies of the belt and road initiative DOI Creative Commons

Xiaoli Liao,

Sun Meng, Yen Pham

et al.

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 58, P. 101645 - 101645

Published: Feb. 1, 2025

Language: Английский

Citations

0
Digitization and industrial low-carbon energy transition in China DOI
Junbing Huang, Yajun Wang,

Aiwei Yang

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135545 - 135545

Published: March 1, 2025

Language: Английский

Citations

0
Green finance, climate change, and economic cycles: Sustaining innovation in technology DOI
Yanjun Guan,

Ruoshui Bai,

Yiqi He

et al.

Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 215, P. 124055 - 124055

Published: March 20, 2025

Language: Английский

Citations

0
An Analysis of the Spatial–Temporal Evolution and Influencing Factors of the Coupling Coordination Degree Between the Digital and Real Economies in China DOI Open Access
Xiaoya Li, Zhao Min,

Guang Yang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3384 - 3384

Published: April 10, 2025

The digital economy (DE) and real (RE) are dual pillars of the modern economic system. deep integration (IDR) has emerged as a pivotal strategic trend. IDR not only can enhance international competitiveness but also contributes to sustainable development goals. This work collects DE RE data from 30 provinces in China between 2012 2022. entropy weight method coupling coordination degree (CCD) model employed measure level IDR. Furthermore, Dagum Gini coefficient, Kernel density estimation, spatial autocorrelation model, geographically temporally weighted regression (GTWR) utilized analyze spatial–temporal evolution influencing factors CCD. following conclusions drawn: (1) During study period, CCD shows an upward trend, value is relatively low. (2) There significant differences CCD, inter-regional difference primary cause. (3) regional continuously widening. (4) obvious global agglomeration feature, been enhanced (5) policy intensity, infrastructure, industrial structure, human capital, technological innovation, market environment have impacts on obtained findings provide important theoretical support for coordinated RE.

Language: Английский

Citations

0
Energy poverty, digital economy, and financial deepening: A study of regional differences based on transportation geography DOI
Yingying Tian,

Min Hua,

Wen Li

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 131, P. 287 - 297

Published: April 29, 2025

Language: Английский

Citations

0
Coupling coordination measurement and spatiotemporal evolution characteristics of digital economy, environmental regulation, and carbon emission intensity—Empirical evidence from Chinese provinces DOI Creative Commons

S. P. Tang

Frontiers in Environmental Economics, Journal Year: 2024, Volume and Issue: 3

Published: Dec. 10, 2024

Digital economy, as an innovative digital technology, can promote environmental governance and support low-carbon development. Under the backdrop of China's dual carbon strategy, country faces significant challenges in achieving coordinated development across domains environment, energy. Based on panel data from 30 Chinese provinces between 2012 2022, this paper constructs a coupling coordination model to measure level integrated among regulation, emission intensity. The study also examines spatiotemporal evolution using kernel density estimation spatial correlation tests. Furthermore, empirical analysis via regression models was employed investigate key influencing factors. findings suggest that: (1) has shown upward trend over sample period, with no extreme regional disparities; (2) Spatially, exhibits “high-high” “low-low” clustering effects; (3) Development levels are influenced by various external driving factors, differences primary For these findings, following recommendations proposed: enhance infrastructure, optimize regulatory frameworks, integration economy green

Language: Английский

Citations

0
The spatio-temporal evolution and influencing factors of the coupling coordination degree between tourism supply and demand in the Yangtze river economic belt DOI Creative Commons
Li Liu,

Jin Luo

Computational Urban Science, Journal Year: 2024, Volume and Issue: 4(1)

Published: Dec. 5, 2024

Abstract The imbalance between supply and demand is a pressing issue in the development of tourism industry. Understanding coupling coordination relationship impact mechanism supply-demand system can help achieve high-quality development. This study focuses on Yangtze River Economic Belt (YREB) as research area, quantifies index (TSI) (TDI) from 2011 to 2020 using model, calculates degree (CCD) TSI TDI based explores factors influencing CCD geographic detector. findings indicate that: (1) various provinces show fluctuation but exhibit an overall upward trend. (2) There were apparent spatial disparities CCD, with distribution characteristic high east low other regions. gradually improved, its gravity center slowly shifting toward southwest. All entered intermediate stage since 2014. (3) Basic service guarantee, consumption drive, innovation drive are identified dominant CCD. provide valuable insights for sustainable

Language: Английский

Citations

0