Related Experiment Video
Updated: Feb 10, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
[Spatial Network Characteristics and Convergence of Technological Innovation Efficiency of Carbon Neutrality in the
Xin-Juan Wang1, Yu-Han Li1, Ying-Ying Geng1
1Business School, Shandong University of Technology, Zibo 255012, China.
Abstract:
At the historical intersection of innovation-driven development and the "two-carbon" strategy, clarifying the spatial relationship of carbon neutral technological innovation among cities in the Yellow River Basin is of great significance for promoting ecological protection and high-quality development in the Yellow River Basin. Based on the effective measurement of carbon neutral technology innovation efficiency of 77 prefecture-level cities in the Yellow River Basin from 2010 to 2022, this study comprehensively evaluates the spatial network correlation characteristics of carbon neutral technology innovation efficiency with the help of the modified gravity model and social network analysis and carries out β convergence analysis to explain its spatial convergence rule. The results showed that the carbon neutral technology innovation efficiency in the Yellow River Basin presented a pattern of "lower reaches > middle reaches > upper reaches", with local dynamic characteristics and unbalanced characteristics co-existing. The network density of carbon neutral technology innovation efficiency in the Yellow River Basin gradually decreased from upstream to downstream and then to the middle reaches. The coastal cities in the lower reaches of the Yellow River Basin developed rapidly under the spillover effect of other plates. Zhengzhou, Jinan, and Heze have become important central cities to radiate and drive the development of the surrounding areas. The spatial convergence analysis showed that the convergence characteristics and catch-up effect of carbon neutral technological innovation efficiency in cities in the Yellow River Basin were significant, and the convergence speed was the fastest in the downstream area.
Related Concept Videos
Convergent Evolution
Network Covalent Solids
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
Region of Convergence
Characteristics of Life
The Carbon Cycle
Protein Networks
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

