Keyu Hu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Keyu Hu has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Huwei Wen
School of Economics and Management, Nanchang University, Nanchang 330031, China
2 shared publications - Alex Opoku Acheampong
Bond Business School Bond University Gold Coast Australia
1 shared publication - Fengxiu Zhou
School of Economics and Management, Jiangxi Normal University, Nanchang 330022, China
1 shared publication - Xuan-Hoa Nghiem
International School, Vietnam National University, Hanoi, Vietnam
1 shared publication
Latest Publications
- Open Access
Progress in Digital Climate Governance in China: Statistical Measurement, Regional Differences, and Dynamic Evolution
The capacity for climate governance is crucial for sustainable advancement, with data elements being a pivotal production factor in contemporary governance. This study examines the trajectory and strategy of digital transformation in climate governance, creating a three-dimensional dataset encapsulating 11 primary and 36 secondary indicators to facilitate the assessment of digital climate governance. Employing spatiotemporal analysis and coupling coordination models, this study evaluates the digitalization levels in climate governance across 30 regions in China, examining how to progress digital integration from governmental and market perspectives. Findings reveal a consistent improvement in China’s regional digital climate governance, bolstering economic and social progress. Nonetheless, regional disparities and developmental lags persist, with convergence analysis indicating a divergence trend in provincial climate governance capabilities. Moreover, kernel density and Markov chain analyses suggest an ongoing evolution in regional digital climate governance efforts, aiming at achieving a higher development plateau. The study emphasizes the dual role of government and market dynamics in boosting digital governance levels, deducing from two-stage regression that effective government-market interplay is vital for elevating governance quality and fostering new productive forces, recommending an integrated governance mechanism for optimal synergy.
Open AccessProgress in Digital Climate Governance in China: Statistical Measurement, Regional Differences, and Dynamic Evolution
The capacity for climate governance is crucial for sustainable advancement, with data elements being a pivotal production factor in contemporary governance. This study examines the trajectory and strategy of digital transformation in climate governance, creating a three-dimensional dataset encapsulating 11 primary and 36 secondary indicators to facilitate the assessment of digital climate governance. Employing spatiotemporal analysis and coupling coordination models, this study evaluates the digitalization levels in climate governance across 30 regions in China, examining how to progress digital integration from governmental and market perspectives. Findings reveal a consistent improvement in China’s regional digital climate governance, bolstering economic and social progress. Nonetheless, regional disparities and developmental lags persist, with convergence analysis indicating a divergence trend in provincial climate governance capabilities. Moreover, kernel density and Markov chain analyses suggest an ongoing evolution in regional digital climate governance efforts, aiming at achieving a higher development plateau. The study emphasizes the dual role of government and market dynamics in boosting digital governance levels, deducing from two-stage regression that effective government-market interplay is vital for elevating governance quality and fostering new productive forces, recommending an integrated governance mechanism for optimal synergy.
- Top Cited PapersOpen Access
- 23 November 2023
- Published by Elsevier in Journal of Environmental Management
- Vol. 350, 119588
Urban climate adaptability and green total-factor productivity: Evidence from double dual machine learning and differences-in-differences techniques
- 23 November 2023
- Published by Elsevier in Journal of Environmental Management
- Vol. 350, 119588
Top Cited PapersOpen AccessUrban climate adaptability and green total-factor productivity: Evidence from double dual machine learning and differences-in-differences techniques