Advancing high-quality development in China: Unraveling the dynamics, disparities, and determinants of inclusive green growth at the prefecture level DOI Creative Commons
Yufei Ren,

Xuemei He,

Qunou Jiang

и другие.

Ecological Indicators, Год журнала: 2024, Номер 169, С. 112898 - 112898

Опубликована: Дек. 1, 2024

Язык: Английский

Spatio-temporal evolution and drivers of coupling coordination between digital infrastructure and inclusive green growth: Evidence from the Yangtze River economic belt DOI
Tonghui Yu, Yu Zhang, Shanshan Jia

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 376, С. 124416 - 124416

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

2

Unleashing the empowered effect of data resource on inclusive green growth: Based on double machine learning DOI
Zhehao Huang, Hao Dong,

Zhaofei Liu

и другие.

Economic Analysis and Policy, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

The Green Circuit: Tracing Digital Inclusive Finance's Role in Sustainable Urban Development DOI
Zhiyuan Gao,

Nanying Zhu,

Hangyi Wei

и другие.

Research in International Business and Finance, Год журнала: 2025, Номер unknown, С. 102809 - 102809

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Determinants and action paths of transboundary water pollution collaborative governance: A case study of the Yangtze River Basin, China DOI
Feifei Zhao,

Xinyi Shu,

Xu Zhao

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 360, С. 121217 - 121217

Опубликована: Май 24, 2024

Язык: Английский

Процитировано

7

Has the Digital Economy Improved the Urban Land Green Use Efficiency? Evidence from the National Big Data Comprehensive Pilot Zone Policy DOI Creative Commons

Guangya Zhou,

Helian Xu,

Chuanzeng Jiang

и другие.

Land, Год журнала: 2024, Номер 13(7), С. 960 - 960

Опубликована: Июнь 30, 2024

The advancement of the big data industry is playing a pivotal role in urban land management refinement. Recently, China initiated strategy, establishing national comprehensive pilot zones (NBDCPZs) across diverse regions. These initiatives present substantial opportunities for enhancing green use efficiency (ULGUE). Consequently, this study, we utilized super-efficiency slack-based measure (SBM) model with undesirable outputs to assess ULGUEs 281 prefecture-level cities from 2006 2021. Subsequently, leveraging NBDCPZ establishment as quasi-natural experiment, employed difference-in-differences (DID) method empirically explore impact policy on ULGUE first time. findings revealed following: (1) implementation significantly enhances ULGUE; (2) effects are mediated through mechanisms such fostering technological innovation, mitigating resource misallocation, and promoting industrial agglomeration; (3) heterogeneity analysis emphasizes increased effectiveness characterized by fewer natural resources, lower economic growth pressures, stable development stages, moderate digital infrastructure human capital levels; (4) further demonstrates significant positive spillover neighboring non-pilot cities, diminishing proximity between decreases. Overall, study contributes literature relationship economy utilization, offering valuable insights achieving sustainable development.

Язык: Английский

Процитировано

7

Land transfer and cropping structure: Evidence from China DOI
Yifan Qian, Yao Xie

Economic Analysis and Policy, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Assessing the potential of digital technology: an integrated measurement of economic, environmental, and social performance DOI
Lianqing Li, Jean‐Philippe Boussemart, Zhiyang Shen

и другие.

Annals of Operations Research, Год журнала: 2025, Номер unknown

Опубликована: Фев. 25, 2025

Язык: Английский

Процитировано

0

Impact of Digitization and Artificial Intelligence on Carbon Emissions Considering Variable Interaction and Heterogeneity: An Interpretable Deep Learning Modeling Framework DOI

Gongquan Zhang,

Shenglin Ma, Mingxing Zheng

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106333 - 106333

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Measurement, Regional Disparities, and Spatial Convergence in the Symbiotic Level of China’s Digital Innovation Ecosystem DOI Creative Commons
Shengnan Li, Zhouzhou Lin,

Yingwen Wu

и другие.

Systems, Год журнала: 2025, Номер 13(4), С. 254 - 254

Опубликована: Апрель 4, 2025

Based on the panel data of 30 provinces in China from 2013 to 2022, this paper constructs a measurement index system for symbiotic level digital innovation ecosystems three dimensions: symbiosis subjects, environment, and interaction. This applies entropy weight TOPSIS method, Dagum Gini coefficient decomposition, spatial convergence analysis empirically examine levels, regional disparities, China’s ecosystem. The results are as follows: (i) At national level, ecosystem has generally increased, creating distribution pattern that is “high east, flat middle, low west”. (ii) From perspective, major disparities between regions primary factors contributing overall difference (iii) perspective σ convergence, constantly expanding, uneven development intensifying. (iv) absolute β with lower levels have faster growth rate than higher symbiosis, there certain spillover effect. (v) conditional economic structure application can accelerate extent.

Язык: Английский

Процитировано

0

The Impact of Digitization on Urban Social–Ecological Resilience: Evidence from Big Data Policy Pilots in China DOI Open Access

Yucen Zhou,

Wang Zhong,

Lifeng Liu

и другие.

Sustainability, Год журнала: 2025, Номер 17(2), С. 509 - 509

Опубликована: Янв. 10, 2025

Digitization plays a vital role in fostering economic and social development. This study empirically investigates the impact of digitization on urban industrial structures, technological innovation, public service levels, social–ecological resilience. Various approaches, including two-tier stochastic, spatial econometric, panel threshold models, have been employed to analyze data from 287 cities 2008 2023. These are examined through quasi-natural experiment analyzing evolution resilience following China’s promotion national comprehensive pilot zone for big data. The findings as follows. (1) positive effects ecological substantially outweigh negative effects, with an overall increasing trend net effect, albeit significant regional differences. (2) Digitalization exhibits spillover enhancing local while inhibiting improvements neighboring cities. (3) Technological innovation levels positively affect resilience, whereas structure upgrading has indirect effect. Both demonstrate nonlinear under constraints intermediary mechanism. (4) In terms policy mechanisms, differences structure, capacity, must be considered. approach is essential promoting organic integration across regions, mitigating polarization diffusion

Язык: Английский

Процитировано

0