A Study of Spatial Spillovers from Fiscal Decentralization on the Efficiency of Green Economy—And the Moderating Role of Financial Decentralization

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6487 - 6487

Published: July 29, 2024

A robust fiscal and financial system constitutes a fundamental pillar of national governance. This paper investigates the spatial correlation between decentralization, local green economic efficiency using panel data from 285 cities in China. The findings reveal several key insights. First, decentralization hampers enhancement but exerts “warning effect” on neighboring regions. In contrast, promotes triggers “clustering areas, indicating an agglomeration impact. Second, synergies are not immediately apparent, while they mitigate regions’ efficiency. Third, maturity market completeness infrastructure positively influence impact Fourth, significantly impacts short term, yet their long-term effects negligible. Consequently, this recommends enhancing development instituting dynamic mechanism for adjusting decentralization. Based aforementioned findings, provides corresponding countermeasure recommendations. These recommendations only contribute academically to study perspectives also offer Chinese model other developing countries seeking balance fiscal, financial, sustainable development.

Language: Английский

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Research on the relationship of coupling coordination between digitalization and green development

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 22, 2024

The coupling coordination of digitalization and green development has become an inevitable requirement for building a new pattern achieving high-quality China's economy. Based on the panel data 284 Chinese cities from 2011 to 2021, this study uses degree model, Dagum Gini coefficient, spatial convergence, Markov transfer probability matrix, Tobit model quantitatively analyze spatial–temporal evolution characteristics influencing factors digitization development. results show that (CCD) overall increasing trend during period, eastern region is higher than other regions which showing non-equilibrium characteristics. difference CCD continues downward, inter-regional differences are main source CCD. In long run, there "catch-up effect" between with low those high CCD, will tend steady state. type "club convergence", maintaining original state high, shows good in future. Factors such as environmental regulation, innovation, industrial structure upgrading financial efficiency can significantly contribute above findings provide empirical evidence achieve economic

Language: Английский

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Tracks of Equality: High-Speed Rail and Its Effects on Intra-Regional Inequality

Published: Jan. 1, 2025

Language: Английский

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Analysis of sustainable spatial structure of cities under the framework of “Economy-Society- Environment”: A case study Beijing-Tianjin-Hebei urban agglomeration

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113416 - 113416

Published: April 1, 2025

Language: Английский

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Tracks of Equality: High-Speed Rail and its Effects on Intra-Regional Inequality —— a Quasi-Experimental Study Based on China's District/County-Level Data

Published: Jan. 1, 2025

Language: Английский

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Impact of Policy Intensity on Carbon Emission Reductions: Based on the Perspective of China’s Low-Carbon Policy

Sustainability, Journal Year: 2024, Volume and Issue: 16(18), P. 8265 - 8265

Published: Sept. 23, 2024

Economic development often results in significant greenhouse gas emissions, contributing to global climate change, which demands immediate attention. Despite implementing various low-carbon policies promote sustainable economic and environmental progress, current evaluations reveal limitations deficiencies. Therefore, this study utilizes a dataset detailing policy intensity at prefecture-level city China investigate the impacts of these on carbon emission reduction from 2007 2022 334 cities, employing fixed-effects model. Additionally, it assesses policies’ efficacy. The findings indicate negative correlation between China’s supported robustly by multiple tests. Specifically, one-unit increase correlates with 0.53-unit emissions. Furthermore, heterogeneity analysis shows that variations urban agglomerations, resource endowments, pollution levels, intensities influence effectiveness reducing This underscores achieves reductions through technological innovation, industrial transformation, welfare crowding out, transfer, varying across different contexts, intensities. Based analysis, we recommend several policies: formulating strategies tailored local conditions, enhancing regional policies, establishing cross-regional coordination mechanisms, so on. These recommendations not only offer valuable insights for but also serve as useful references green other developing countries.

Language: Английский

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Does the Opening of High-Speed Rail Change Urban Financial Agglomeration?

Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4509 - 4509

Published: May 26, 2024

High-speed rail (HSR) in China has led to altered spatiotemporal distances, thus inevitably affecting the regional economies. Has HSR also impacted urban financial pattern? We analyze relationship between and agglomeration 283 prefecture-level cities find that significantly reduces promotes diffusion. After opening of HSR, employees (AGGE) deposit (AGGD) decrease by 0.06 0.07, respectively. Specifically: (1) creates a diffusion effect promoting industrial restructuring technological innovation, thereby preventing excessive cities; (2) heterogeneity analysis shows factors are generally diffused from east west, mainly causes eastern region; (3) we construct four spatial matrices for regression further verify impact indirect on is more significant compared direct effect.

Language: Английский

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Spatiotemporal Urban Evolution Along the China–Laos Railway in Laos Determined Using Multiple Sources of Remote-Sensed Landscape Indicators and Interpretable Machine Learning

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2094 - 2094

Published: Dec. 4, 2024

Constructing high-speed railways (HSRs) is critical for developing countries to stimulate economic growth and urbanization. This study focuses on the Lao section of China–Laos Railway (CLR) employs explicitly spatial remote sensing images investigate urban development surrounding HSR stations. Data-driven machine learning causal inference approaches are integrated quantify spatial–temporal evolution discover its driving factors. The results suggest that CLR has had positive spillover effects space. These have exhibited a distance attenuation pattern, reflecting obvious in 2D rather than 3D Meanwhile, stations adjacent city centers as well functional characteristics, such land use patterns industrialization level, significantly influences development. Specifically, industrial-dominated cities, changes been most significant under influence HSR. Change related industrial residential shown expansion increased utilization efficiency, urbanization primary drivers demand findings offer valuable insights references nations formulate implement management policies initiatives

Language: Английский

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