Spatial effects of industrial synergistic agglomeration and regional green development efficiency: Evidence from China

A blessing or a burden? Assessing the impact of Climate Change Mitigation efforts in Europe using Quantile Regression Models

Non-linear impact of natural resources, green financing, and energy transition on sustainable environment: A way out for common prosperity in NORDIC countries

Over the past decades, China's vast regional disparities in resource endowment, economic development, and industrial structure have driven large-scale relocations of high energy-consuming industries (RHEIs). Despite extensive research on broad-based industrial relocation and emission transfer, the trend, structure and environmental impact of China's RHEIs need further investigation. This paper employs the multi-regional input-output model (MRIO) to calculate the trend, scale, and structure of the RHEIs among China's 30 provinces. Additionally, we investigate the RHEIs' effect on green total factor energy efficiency (GEE) and its heterogeneity. Our results indicate that the net inflow of high energy-consuming industries decreases GEE, with a more noticeable effect observed in central provinces and after the execution of the Belt and Road Initiative (BRI). However, the positive effect of RHEIs on GEE in outflow areas is more substantial than their negative impact in inflow areas, suggesting that RHEIs can enhance overall efficiency. This study contributes to the understanding of China's industrial relocation by providing valuable insights into China's RHEIs. 

Does industrial relocation affect green total factor energy efficiency? Evidence from China's high energy-consuming industries

Construction land expansion and use efficiency are tied to the promotion of sustainable cities and communities. This article explores how and why the spatiotemporal variation of construction land use efficiency (CLUE) evolved in the Yangtze River Delta (YRD), China between 2000 and 2020. Our descriptive results show that county-level regions with higher CLUE are concentrated in major cities in the core YRD, as well as ecologically sensitive regions in the peripheral YRD. Although CLUE improvement in peripheral regions has been more remarkable since the early 2010s, the efficiency gap in construction land use between the core YRD (central cities) and the peripheral YRD (suburban counties) has doubled. The modeling results indicate the temporally and spatially heterogeneous impacts of various factors related to economic incentives and eco-environmental constraints on the uneven CLUE. Economic level and ecological sensitivity are positively associated with regional CLUE. The continuing growth of service industries and the spatial agglomeration of knowledge-intensive and foreign-invested firms are increasingly vital for CLUE improvement in the core YRD, while the prosperity of manufacturing industries is more important for the peripheral YRD. The “crowding out effect” of environmental pollution on CLUE could be proved in the peripheral rather than the core YRD. Our findings suggest that proper policies should be tailored to specific places to coordinate construction land use, economic growth, and eco-environmental sustainability.

https://www.frontiersin.org/articles/10.3389/fevo.2022.1017728/pdf

Eco-environmental constraints, economic incentives, and spatiotemporal variations of construction land use efficiency in regional China

Investigating the role of international industrial transfer and technology spillovers on industrial land production efficiency: Fresh evidence based on Directional Distance Functions for Chinese provinces

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Investigating the role of international industrial transfer and technology spillovers on industrial land production efficiency: Fresh evidence based on Directional Distance Functions for Chinese provinces