Spatio-temporal dynamics and trend forecasting of urban green high-quality development: An examination of 287 cities in China DOI Creative Commons
Tonghui Yu, Shanshan Jia, Xufeng Cui

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(4), С. e0320894 - e0320894

Опубликована: Апрель 11, 2025

Facing the dual challenges of economic growth and environmental conservation, advancing urban green high-quality development (UGHQD) is crucial for sustainable development. Rooted in concept UGHQD, this study develops a multidimensional evaluation indicator system encompassing development, social progress, ecological civilization. By applying spatial autocorrelation analysis, cold hot spots standard deviation ellipse, Kernel density estimation, it examines distribution dynamic evolution UGHQD across China its four major regions (Eastern, Central, Western, Northeastern) from 2003 to 2020. It also forecasts trajectory 2021 2025. The research findings indicate: (1) A steady annual increase overall level with geographic pattern showing high levels east, moderate center, low west. (2) agglomeration predominantly eastern region, demonstrating spatio-temporal inertia. (3) Varying degrees “right-tail” phenomenon sub-regions, indicating polarization trend or even weak multi-polarization trend. (4) forecast continuous, 2025, region maintaining leading position. This offers insights that enhancing our understanding fundamental concepts underlying providing practical foundation policy guidance future collaborative efforts quality.

Язык: Английский

Designing and analyses of mathematical models for sustainable agriculture in India: comparative study on the universal desiccant solar dryer and trapezoidal vertical solar dryer DOI

Chandrashekhar N. Sakhale,

Shrikrishna A. Dhale,

Ajit V. Harde

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Янв. 2, 2025

Язык: Английский

Процитировано

1
Study on Green Packaging Diffusion in Logistics Enterprise Clusters Based on Complex Network Evolutionary Game DOI

Xiaoping Wu,

Erzhuo Shu,

Dandan Ye

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145166 - 145166

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1
A study on the impact of high-quality openness on China’s economic growth based on mathematical statistics DOI Open Access
Jie Gao

Applied Mathematics and Nonlinear Sciences, Год журнала: 2025, Номер 10(1)

Опубликована: Янв. 1, 2025

Abstract The level of high-quality openness is determined by the degree economic openness, so this paper explores impact on China’s growth according to and analyzes long-term equilibrium relationship short-term dynamic adjustment process between using mathematical statistical methods such as co-integration analysis error correction model. An indicator system containing multiple dimensions trade foreign cooperation, real tariff rate constructed, relevant data for past 15 years are collected empirical analysis. research results show that there exists a stable indicators every 1% increase in overall leads 0.48532% GDP. In short term, Chinese economy has minor over same period. Additionally, unidirectional Granger causality growth, i.e., can enhance but not cause openness. It indicates promote growth.

Язык: Английский

Процитировано

0
Spatio-temporal dynamics and trend forecasting of urban green high-quality development: An examination of 287 cities in China DOI Creative Commons
Tonghui Yu, Shanshan Jia, Xufeng Cui

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(4), С. e0320894 - e0320894

Опубликована: Апрель 11, 2025

Facing the dual challenges of economic growth and environmental conservation, advancing urban green high-quality development (UGHQD) is crucial for sustainable development. Rooted in concept UGHQD, this study develops a multidimensional evaluation indicator system encompassing development, social progress, ecological civilization. By applying spatial autocorrelation analysis, cold hot spots standard deviation ellipse, Kernel density estimation, it examines distribution dynamic evolution UGHQD across China its four major regions (Eastern, Central, Western, Northeastern) from 2003 to 2020. It also forecasts trajectory 2021 2025. The research findings indicate: (1) A steady annual increase overall level with geographic pattern showing high levels east, moderate center, low west. (2) agglomeration predominantly eastern region, demonstrating spatio-temporal inertia. (3) Varying degrees “right-tail” phenomenon sub-regions, indicating polarization trend or even weak multi-polarization trend. (4) forecast continuous, 2025, region maintaining leading position. This offers insights that enhancing our understanding fundamental concepts underlying providing practical foundation policy guidance future collaborative efforts quality.

Язык: Английский

Процитировано

0