Study on the measurement and prediction of the ecological structure for water efficiency in China: from the perspective of “production-living-ecological” function DOI

Yan Tang,

Yunpei Cheng, Shan Gao

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 7, 2024

Language: Английский

Zooming in or zooming out: Energy strategy, developmental parity and regional entrepreneurial dynamism DOI

Yanru Deng,

Rabindra Nepal, Xuefeng Shao

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 140, P. 108021 - 108021

Published: Nov. 10, 2024

Language: Английский

Citations

4
Digital economy spillover on government subsidies: evidence from China DOI
Chengyou Li,

Jiao Yong,

Mengxun Liu

et al.

Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: Jan. 9, 2025

This research integrates digital economy spillover (DES) into a tripartite game model involving stages of service deployment, infrastructure development, and government financial incentives to examine how DES influences subsidies. Employing data from 31 Chinese provinces, we developed an inclusive index empirically explore its effect on subsidies underlying mechanisms. The findings reveal that: (1) In competitive scenarios, the most effective policy is subsidize corporate infrastructure, with increasing as rises. cooperative settings, are unnecessary, firms reach optimal equilibrium independently, making irrelevant subsidy decisions. (2) A positive significant correlation exists between subsidies, supporting both theoretical game-theoretical predictions. highlights crucial factor in shaping advancing development. (3) Industry structure acts key intermediary dynamics By encouraging upgrade minimization distortions within industrial structure, effectively motivates governments increase elucidates intricate effects aiding understanding economy's dynamics.

Language: Английский

Citations

0
Do different decentralization reforms prohibit or inhibit Chinese corporate carbon emission intensities? DOI
Zhiqiang Bian, Chengqian Zhang

Economic Analysis and Policy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
How Climate Shocks Affect Stock Market Risk Spillovers: Evidence from Causal Forest Algorithm DOI

Mingyu Shu,

Baoliu Liu,

Jieli Wang

et al.

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

Published: Jan. 22, 2025

Language: Английский

Citations

0
Evolutionary characteristics and influencing mechanisms of green development efficiency in Chinese urban agglomerations: Analysis of the Yangtze River Delta urban agglomeration DOI
Yu Guo, Zihao Tong, Zhenbo Wang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124236 - 124236

Published: Jan. 24, 2025

Language: Английский

Citations

0
Assessing the combined effect of China’s restarting of the CCER market: Coupling of CGE and GAINS models DOI Creative Commons

Chi Yuan-Ying,

Zhang Yang-Yi,

Liu Bao-Liu

et al.

Advances in Climate Change Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Optimization and Potential Assessment of CO2 Geological Storage Caprock in the Saline Aquifers of the Qingjiang Basin, Middle and Lower Reaches of the Yangtze River DOI Creative Commons

Yuchen Tian,

Shiqi Liu, Sijian Zheng

et al.

Unconventional Resources, Journal Year: 2025, Volume and Issue: unknown, P. 100155 - 100155

Published: Feb. 1, 2025

Language: Английский

Citations

0
Research on the Temporal and Spatial Distribution of Marginal Abatement Costs of Carbon Emissions in the Logistics Industry and Its Influencing Factors DOI Open Access
Yuping Wu,

Bin Du,

Chuanyang Xu

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2839 - 2839

Published: March 22, 2025

While existing research has focused on logistics carbon emissions, understanding spatiotemporal emission cost dynamics and drivers remains limited. This study bridges three gaps through methodological advances: (1) Applying the Non-Radial Directional Distance Function (NDDF) to measure Marginal Carbon Abatement Costs (MCAC), overcoming traditional Data Envelopment Analysis (DEA) model’s proportional adjustment constraints for provincial heterogeneity; (2) Pioneering dual-dimensional MCAC analysis integrating temporal trends (2013–2022) with spatial autocorrelation; (3) Developing a Durbin error model time-fixed effects capturing direct/indirect impacts of innovation infrastructure. Based data from 2013–2022, our findings demonstrate U-shaped trajectory index fluctuating between 0.3483 0.4655, alongside significant heterogeneity following an Eastern > Central Northeastern Western pattern. The identification persistent high-high/low-low clusters local Moran’s I provides new evidence dependence in reduction costs, these polarized consistently comprising 70% Chinese cities throughout period. Notably, econometric results reveal that foreign investment infrastructure exert competitive spillover effects, paradoxically increasing neighboring regions’ MCAC, previously undocumented phenomenon sustainability literature. These advancements empirical insights establish novel framework allocation planning.

Language: Английский

Citations

0
Revealing the spatio-temporal coupling coordination characteristics and influencing factors of carbon emissions from urban use and ecosystem service values in China at the municipal scale DOI Creative Commons
Shuang Zhao,

Zhengyong Yu,

Wei Liu

et al.

Frontiers in Ecology and Evolution, Journal Year: 2025, Volume and Issue: 13

Published: March 27, 2025

In the context of “dual-carbon” goal, studying complex relationship between carbon emissions and ecosystem service values brought about by land-use change is great significance in promoting regional low-carbon optimization, territorial spatial governance, achievement goal peaking neutrality. This study takes 286 cities China as research object, based on data China’s land use value (ESV) from 2012 to 2022, adopts geo-spatial analysis techniques such autocorrelation geographically-weighted regression models temporal characteristics, degree coupling coordination, influencing factors municipal total ESV. The results show that (1) have exhibited an overall increasing trend 2022. ESV has shown a downward characterized inverted “N” shape. (2) coordination effect generally shows mirrored “L” growth (3) There significant negative correlation ESV, primarily manifested “high-high,” “high-low,” “low-low” clustering characteristics. (4) Three socio-economic factors—local fiscal general budget expenditure, energy utilization efficiency, population—positively influence Strictly controlling local population can effectively promote China's green, development ecological security.

Language: Английский

Citations

0
Inhibiting or exacerbating? Digital financial inclusion and renewable energy efficiency DOI Creative Commons
Jing Zheng, Baoliu Liu, Yujie Huang

et al.

Science Progress, Journal Year: 2025, Volume and Issue: 108(2)

Published: March 31, 2025

Fully analyzing the impact and role of digital inclusive finance on improvement renewable energy efficiency plays an important in realizing long-term sustainable development regional economy. This research undertakes a comprehensive empirical examination to investigate influence financial growth across 30 Chinese provinces cities, spanning from 2011 2021. The results demonstrate that advancement significantly improves energy. variations indicates while inclusion markedly enhances both eastern western areas, its remains negligible central region. In addition, our influencing mechanism show progress science technology, alongside effectiveness services, boosts beneficial effects enhancement efficiency. Furthermore, degrees innovation technology services act as singular threshold for Our study provides new evidence implications fully combination between efficiency, thereby promoting development.

Language: Английский

Citations

0