Exploring the potential mechanisms and future trends of industrial eco-efficiency: a case study of coastal China DOI Creative Commons
Yixuan Sun, Teng Zhang, Baolei Zhang

et al.

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

Published: Dec. 10, 2024

The industrial economy occupies a crucial position in China’s national economy, and eco-efficiency (IEE) as significant indicator of regional green development levels. Balancing the positive interaction between resource environment, enhancing ecological efficiency are vital for achieving sustainable economic development. This study measures IEE 115 cities coastal China based on panel data resources environment factors. Subsequently, it further analyzes influencing mechanisms future trends IEE. results indicate that overall is an upward trend, with higher values provinces regions characterized by faster better environmental conditions. Significant changes spatial patterns observed, gaps narrowing “multi-core” model emerging. Factors such per capita GDP, ratio pollution control investment to innovation index, proportion foreign direct labor productivity significantly positively influence In contrast, added value urbanization rate, number enterprises exhibit notable negative inhibitory effects. Moreover, effect industrialization level other factors most significant. future, expected continue improving, although sustainability these appears weak. These findings reveal potential impact consumption caused activities benefit output. provides scientific basis optimizing energy layout, comprehensive utilization resources, improving compensation protection mechanisms.

Language: Английский

Dependency Tree-Integrator Method for Reducing Mislaid Data Errors in Water Demand Prediction DOI Creative Commons

G Manikannan,

K. Jayanthi

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

Abstract The water supply demand has grown significantly high par with the increase in population, activities, manufacturing, etc. recent years. A wide range of research on forecasts based accumulated statistical data is formulated to ensure sufficient recommendations required supply. Considering these facts, problem mislaid statistics impacting prediction accuracy addressed here. This article proposes a Dependency Tree-Integrator Method (DTIM) using linear XGBoost learning address aforementioned issue. proposed method generates two dependency trees increasing order utilization and equivalent from daily collected. presence breaks linearity tree, where classification performed. differentiates regularize demand. regularized inputs are integrated forecast difference previous current utilizations as demands. tree processes form integrity learning. fails if interrupted by input that identified an error differentiation occurs. Through real-time analysis, method’s efficacy verified accuracy, precision, mean error, complexity metrics. Thus DTI improves precision 11.23% 11.87% under different quarters considered.

Language: Английский

Citations

0
Forecasts and Analysis of Economic Outputs for Chinese High-Tech Industries: Insights from Spatial–Temporal Information Fusion DOI

Song Ding,

Yi Wang, Xingao Shen

et al.

Computational Economics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Language: Английский

Citations

0
Synergistic security relationships and risk measurement of water resources-social economy-ecological environment in Beijing-Tianjin-Hebei region DOI
Yue Xu, Yang Li,

Keyu Sun

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 175, P. 113512 - 113512

Published: April 24, 2025

Language: Английский

Citations

0
Spatiotemporal Effects and Optimization Strategies of Land-Use Carbon Emissions at the County Scale: A Case Study of Shaanxi Province, China DOI Open Access
Yahui Zhang, Jianfeng Li, Siqi Liu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(10), P. 4104 - 4104

Published: May 14, 2024

Land use, as one of the major sources carbon emissions, has profound implications for global climate change. County-level land-use systems play a critical role in national emission management and control. Consequently, it is essential to explore spatiotemporal effects optimization strategies emissions at county scale promote achievement regional dual targets. This study, focusing on Shaanxi Province, analyzed characteristics land use from 2000 2020. By establishing evaluation model, county-level were clarified. Utilizing Geodetector K-means clustering methods, driving mechanisms elucidated, explored. The results showed that during 2000–2020, Province underwent significant changes, with constructed increasing by 97.62%, while cultivated grassland substantially reduced. overall exhibited pattern North > Central South. total within province increased nearly fourfold over 20 years, reaching 1.00 × 108 tons. Constructed was primary source forest contributed significantly sink study area. Interactions among factors had impacts spatial differentiation emissions. For counties different types differentiated recommended. Low-carbon should intensify ecological protection rational utilization, medium-carbon need strike balance between economic development environmental protection, high-carbon prioritize reduction structural transformation.

Language: Английский

Citations

2
Evolution Characteristics and Influencing Factors of Regional Carbon Emissions from the Perspective of Water-Land-Carbon Linkage: A Case Study of Shandong Province DOI

Qingzhen Shao,

Xiangrui Meng, Xiangqian Wang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
How do water, food, and energy resources impact environmental conditions in Ghana? A novel dynamic ARDL simulation approach DOI
Hao Chen, Evelyn Agba Tackie, Isaac Ahakwa

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133301 - 133301

Published: Sept. 1, 2024

Language: Английский

Citations

0
Spatiotemporal evolution in water use structures of large-sized irrigation district, China DOI
Yunfei Fan, Yu Hou, Sufen Wang

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Language: Английский

Citations

0
Exploring the potential mechanisms and future trends of industrial eco-efficiency: a case study of coastal China DOI Creative Commons
Yixuan Sun, Teng Zhang, Baolei Zhang

et al.

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

Published: Dec. 10, 2024

The industrial economy occupies a crucial position in China’s national economy, and eco-efficiency (IEE) as significant indicator of regional green development levels. Balancing the positive interaction between resource environment, enhancing ecological efficiency are vital for achieving sustainable economic development. This study measures IEE 115 cities coastal China based on panel data resources environment factors. Subsequently, it further analyzes influencing mechanisms future trends IEE. results indicate that overall is an upward trend, with higher values provinces regions characterized by faster better environmental conditions. Significant changes spatial patterns observed, gaps narrowing “multi-core” model emerging. Factors such per capita GDP, ratio pollution control investment to innovation index, proportion foreign direct labor productivity significantly positively influence In contrast, added value urbanization rate, number enterprises exhibit notable negative inhibitory effects. Moreover, effect industrialization level other factors most significant. future, expected continue improving, although sustainability these appears weak. These findings reveal potential impact consumption caused activities benefit output. provides scientific basis optimizing energy layout, comprehensive utilization resources, improving compensation protection mechanisms.

Language: Английский

Citations

0