Unlocking sustainable marine economic growth: the role of financial development, innovation, and capital investment in coastal China DOI Creative Commons
Zhaosu Meng,

Mengjiao Pang,

Dingyue Zhang

et al.

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: Sept. 12, 2024

Introduction As global resource demands and environmental challenges intensify, China's vast marine resources present a significant opportunity for sustainable economic development. This study investigates the impact of financial development on high-quality growth in economy across 11 coastal regions from 2011 to 2020. Methods We examine mediation moderation model linking quality China, where increasingly relies support. proposes innovation output industrial structure upgradation as mediators, with capital investment moderator. Results Our findings reveal that significantly promotes growth, albeit regional heterogeneity. The strongest effect is observed Eastern Marine Economic Zone, while Southern Zone shows weakest impact. scientific research upgrading serve key mediating factors, former demonstrating stronger intermediary effect. Notable, positively moderates relationship between growth. Discussion innovatively combines macro-finance micro-finance indicators construct comprehensive index system. It incorporates multi-dimensional approach measuring regions, challenging one-size-fits-all models by highlighting variations. By providing insights into specific differences underlying mechanisms, our offers valuable guidance policymakers crafting region-specific strategies leverage

Language: Английский

Dynamic evolution, regional differences and influencing factors of high-quality development of China’s logistics industry DOI Creative Commons
Minjie Li, Kai Huang,

Xinyu Xie

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111728 - 111728

Published: Feb. 1, 2024

Promoting high-quality development of logistics industry (LHQD) becomes imperative to decrease costs in real economy and intensify endogenous power economic development. In this paper, we construct an evaluation system consisting 21 indicators four dimensions: output scale, operation quality, social contribution green Thereafter, apply improved entropy weight method, kernel density estimation Dagum Gini coefficient carve out spatial temporal distribution, dynamic evolution regional differences LHQD. Finally, adopt geographical weighted regression (GTWR) model reveal heterogeneous effect each selected factor on Outcome indicates: (1) The level LHQD rose at average annual growth rate 2.776% between 2004 2018, however with significant inter-provincial differences. (2) the whole nation three major regions were bipolar or multipolar, distinctive gradient characteristics. (3) overall difference primarily came from deviation among regions, kept expanding. (4) impact various factors was characterized by heterogeneity. Specifically, positive innovation capacity, digitalization level, foreign direct investment, transportation infrastructure environmental regulation gradually increased time. It stronger for eastern region than western region. contrast, industrial agglomeration's stimulus had diminished, high-value its shifted east center.

Language: Английский

Citations

19

Spatiotemporal patterns and mechanisms of land-use conflicts affecting high-quality development in China DOI
Bo Han, Xiaobin Jin, Qilei Zhao

et al.

Applied Geography, Journal Year: 2023, Volume and Issue: 155, P. 102972 - 102972

Published: April 25, 2023

Language: Английский

Citations

27

China’s high-quality economic development: a study of regional variations and spatial evolution DOI

Wanping Yang,

Ruoying Huang,

Dong Li

et al.

Economic Change and Restructuring, Journal Year: 2024, Volume and Issue: 57(2)

Published: March 31, 2024

Language: Английский

Citations

14

The high-quality development level assessment of marine economy in China based on a “2+6+4” framework DOI
Caizhi Sun, Lijie Wang,

Wei Zou

et al.

Ocean & Coastal Management, Journal Year: 2023, Volume and Issue: 244, P. 106822 - 106822

Published: Aug. 28, 2023

Language: Английский

Citations

20

Spatial spillover effects of conversion of new and old driving forces on high-quality development: Evidence from 283 cities in China DOI

Zheng Yang,

Jinyan Zhan, Chao Wang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105487 - 105487

Published: April 29, 2024

Language: Английский

Citations

9

The spatial spillover effect of financial growth on high-quality development: Evidence from Yellow River Basin in China DOI Creative Commons
Zhenhua Zhang, Chao Hua, Marshall S. Jiang

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: June 24, 2024

Abstract River basin cities are areas with remarkable conflicts between the human activity and ecological environment. They also important targets for policy implementation of sustainable high-quality development (HD) in various countries around world. This article exploits panel data 99 located Yellow Basin (YRB) from 2006 to 2019 empirically analyze spatial effect financial growth on HD. Spatial weights participated econometric models utilized this effect. Empirical results reveal that: (1) HD YRB shows a strong positive autocorrelation. (2) Financial exerts an N-shaped curve long-term perspective. When influence spills out surroundings, it exhibits inverted U-shaped characteristic. (3) Green innovation can be intermediary factor (4) The appears stronger regions higher economic levels, where effects transmitted surrounding regions. However, backward low-economy prevents spillover effects. study instrumental formulate policies that aim promote river cities.

Language: Английский

Citations

9

High-tech industry agglomeration and regional green development: An analysis of spatial Durbin model DOI
Junwei Li, Wenxiao Liu, Lei Du

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 205, P. 123372 - 123372

Published: May 22, 2024

Language: Английский

Citations

8

Water Quality, Influential Factors, and Management Strategies from 2016 to 2020 in the Yangtze River Economic Belt, China DOI

Lanyu Lin,

Chunbao Guo,

Yanan Chen

et al.

Chinese Geographical Science, Journal Year: 2025, Volume and Issue: 35(1), P. 175 - 186

Published: Jan. 14, 2025

Language: Английский

Citations

1

Unequal Opportunities and Green Transition: A Study on the Mechanism of Green Total Factor Productivity Differences in China’s Regional Marine Economy DOI
Caizhi Sun, Xiaoming Li,

Wei Zou

et al.

Regional Studies in Marine Science, Journal Year: 2025, Volume and Issue: unknown, P. 104249 - 104249

Published: May 1, 2025

Language: Английский

Citations

1

Regional unevenness in the construction of digital villages: A case study of China DOI Creative Commons
LI Yan-ling, Xin Wen

PLoS ONE, Journal Year: 2023, Volume and Issue: 18(7), P. e0287672 - e0287672

Published: July 13, 2023

In regard to the comprehensive promotion of rural revitalization, construction digital villages is a crucial development. Because considerably novel, existing studies mainly focus on theoretical aspects pertaining rational and practical robustness villages, with regional unevenness, number that consider current characteristics, absolute gaps, impact mechanisms insufficient. Based unevenness characterizes village construction, this study proposes research framework for technology-enabled which integrates three major factors, namely technology, institutions, human resources; thus, assessment level enhanced. This study, applies aforementioned framework, constructs an index system evaluating reveal characteristics heterogeneity main influencing factors in China (study period; 2015-2020), it utilizes Dagum Gini coefficient method spatial econometric model. Consequently, researchers observe following: First, exhibits "W-shaped" recovery growth. Second, respect level, eastern region highest followed by central western regions; furthermore, we regions account greatest intra-regional variation, overall difference, inter-regional gap represents causative factor. Finally, technology innovation capabilities, occupational differentiation farmers, economic development significantly contribute whereas fiscal autonomy exerts significant inhibiting effect. results may provide novel analytical examining sources also reference decision-making, can influence as well other countries.

Language: Английский

Citations

12