International Review of Economics & Finance, Год журнала: 2024, Номер unknown, С. 103722 - 103722
Опубликована: Ноя. 1, 2024
Язык: Английский
International Review of Economics & Finance, Год журнала: 2024, Номер unknown, С. 103722 - 103722
Опубликована: Ноя. 1, 2024
Язык: Английский
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
12Energy Policy, Год журнала: 2024, Номер 192, С. 114215 - 114215
Опубликована: Июнь 13, 2024
Язык: Английский
Процитировано
10Environment Development and Sustainability, Год журнала: 2025, Номер unknown
Опубликована: Янв. 10, 2025
Язык: Английский
Процитировано
1Energies, Год журнала: 2025, Номер 18(2), С. 434 - 434
Опубликована: Янв. 20, 2025
Artificial intelligence (AI) is gaining attention in energy economics due to its ability process large-scale data as well make non-linear predictions and providing new development opportunities research subjects for research. The aim of this paper explore the trends application AI over decade spanning 2014–2024 through a systematic literature review, bibliometrics, network analysis. analysis shows that prominent themes are price forecasting, innovations systems, socio-economic impacts, transition, climate change. Potential future directions include supply-chain resilience security, social acceptance public participation, economic inequality technology gap, automated methods policy assessment, circular economy, digital economy. This innovative study contributes understanding from perspective bibliometrics inspires researchers think comprehensively about challenges hotspots.
Язык: Английский
Процитировано
1Information Technology for Development, Год журнала: 2025, Номер unknown, С. 1 - 21
Опубликована: Март 9, 2025
Язык: Английский
Процитировано
0Sustainability, Год журнала: 2025, Номер 17(6), С. 2498 - 2498
Опубликована: Март 12, 2025
Adequately incentivizing firms to implement green technological innovation (GTI) is pivotal achieving sustainable development. Green factory certification, a prominent example of voluntary environmental regulation, has garnered significant attention in both theoretical and policy concerns regarding its impact on innovation. Leveraging certification as quasi-natural experiment, this paper utilizes multi-timepoint difference-in-differences (DID) approach systematically investigate influence firms’ The findings reveal several important insights. (1) significantly enhances capabilities, facilitating substantial enhancements the quantity quality (2) Mechanism analysis indicates that promotes via three key channels—promoting digitalization level, strengthening ESG practices, financing constraints. (3) incentive effects are particularly pronounced among eastern region, non-state-owned entities, those exhibiting lower pollution levels. These underscore critical role systems fostering corporate development, offering insights practical guidance for undergoing transformation while contributing broader goal
Язык: Английский
Процитировано
0Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 124903 - 124903
Опубликована: Март 12, 2025
Язык: Английский
Процитировано
0Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125043 - 125043
Опубликована: Март 19, 2025
Язык: Английский
Процитировано
0Frontiers in Environmental Science, Год журнала: 2025, Номер 13
Опубликована: Апрель 8, 2025
The role of digital economy (DE) in improving urban ecological development (UED) has attracted scholarly attention. Additionally, traditional causal inference models encounter several challenges, such as model misspecification and the “curse dimensionality.” In response to these problems, double machine learning method is applied assess effect DE on UED. Leveraging data from 282 Chinese cities 2006–2021, valuable conclusions emerge. First, improves UED positively contributes resilience recovery. Second, promoting green innovation, enhancing environmental efficiency, optimizing industrial structures are pathways through which Third, influence displays heterogeneity. Based results, this work proposes relevant recommendations grounded empirical research.
Язык: Английский
Процитировано
0Journal of Environmental Management, Год журнала: 2025, Номер 384, С. 125535 - 125535
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
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