Muhammad Hussain

Amid the deep integration of China’s “dual-carbon” goals with regional coordinated development strategies, this study develops a multidimensional analytical framework of regional integration based on panel data from 41 prefecture-level cities in the Yangtze River Delta urban agglomeration from 2009 to 2023. The framework encompasses five dimensions: urban–rural integration, innovation coordination, infrastructure connectivity, ecological co-governance, and public service sharing. Using structural equation modeling (SEM), the study empirically investigates the mechanisms and pathways through which regional integration shapes low-carbon development. The results indicate that different dimensions exert differentiated impacts: urban–rural integration and infrastructure connectivity significantly promote low-carbon development, whereas public service sharing has an adverse effect due to a phenomenon known as “carbon lock-in”. By contrast, the impact of innovation coordination and ecological co-governance is not statistically significant. Moreover, substantial regional heterogeneity exists: Jiangsu Province demonstrates the leading performance in the manifest development level; Zhejiang Province shows strong systemic capacity level, but limited conversion into manifest outcomes. At the same time, most cities in Anhui Province lag in both aspects. Coordination analysis further identifies four typical development patterns: dual-high, system-driven, performance-dominant, and dual-low. Drawing on these findings, this study proposes policy recommendations across four dimensions—regional coordination, low-carbon pathway optimization, targeted empowerment, and collaborative governance—to facilitate the green and low-carbon transition of the Yangtze River Delta urban agglomeration.

The present study investigates the effect of financial development on sustainable competitiveness and its components (natural capital, resource intensity, and social cohesion) in the Arctic region. We employ bank-based, stock-market based, and composite index to measure financial development. To deal with endogeneity bias, system GMM is utilized. The results show a positive and significant effect of financial development on sustainable competitiveness. The estimates also assert that financial development encourages resource efficiency and social cohesion in the region. In contrast, we find the negative effect of financial development on natural capital. This suggests that overexploitation of natural resources may provide short-term benefits to the local and regional communities but it may threaten the long-term sustainability of the Arctic. Thus, the financial sector should be guided to support financing and investing activities in alternative eco-friendly technologies and ventures for reducing excessive natural resource utilization.