Eco-efficiency assessment of regional industrial systems in China considering scale heterogeneity

Sustainable Futures, Journal Year: 2025, Volume and Issue: unknown, P. 100568 - 100568

Published: March 1, 2025

Language: Английский

Measuring the Ecoefficiency of Tourism in Typical Tourist Cities and Analyzing the Influencing Factors—Anhui Huangshan City as an Example

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10706 - 10706

Published: Dec. 6, 2024

To protect the environment, promote sustainable tourism, and enhance quality efficiency of tourism industry, accounting for identifying ecological is crucial. In this study, we constructed a scientific measurement system assessing in Huangshan City from 2011 to 2022 using Super-SBM (slack-based measure) model Tobit regression model. Our findings revealed following: (1) The overall trend total fluctuated considerably during period under study but demonstrated an positive development. Scale mostly showed consistent annual improvement, while pure technical remained relatively stable. (2) Economic, social, environmental, human-resource- transportation-related factors all exerted significant influences on City. Based these results, aiming City, comprehensively considering multiple factors, such as economy, society, human resources, transportation, recommended. Attention should be paid balancing industrial expansion with technological innovation simultaneously investing development education resources. Emphasis also placed protecting improving environment alongside efforts improve capabilities level management. research presented article offer valuable theoretical underpinning, well practical guidance other representative tourist destinations how they can their ecosystems, thereby facilitating high-quality within industry.

Language: Английский

Does green finance promote the improvement of regional eco-efficiency? Direct and spillover effects

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

Published: Dec. 6, 2024

Introduction Green finance plays a pivotal role in advancing China’s ecological civilization construction and achieving sustainable economic social development. Methods Using panel data from 30 provinces China 2009 to 2021, this study applies the entropy weighting method super-efficiency slack-based measure (Super-SBM) model assess levels of green eco-efficiency each province. Employing spatial statistical methods such as standard deviation ellipse (SSDE) Markov chain, reveals spatiotemporal evolution characteristics eco-efficiency. Additionally, Durbin is used analyze direct effects, spillover heterogeneity features on regional Results The results show that (1) From exhibited an overall upward trend, though with notable differences. (2) effects followed inverted U–shaped relationship. However, most provinces, had not yet reached turning point during period, impact remained largely positive. (3) showed considerable structural differences due heterogeneity, strongest observed Eastern regions. Discussion This provides policymakers strategies enhance through development finance, offering valuable insights for promoting

Language: Английский