Research on the evolution of biotechnology cooperation networks – a study based on patent data in China from 2004 to 2023 DOI Creative Commons
Chongfeng Wang, Yifei Wang, Linfeng Zhong

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: March 13, 2025

Introduction Biotechnology has significant potential in public health, offering critical support for communicable disease control, chronic illness management, and drug development. To foster biotechnology innovation, governments increasingly incentivize cooperations among organizations, resulting more interconnected cooperation networks. However, research on the evolution of these networks rely primarily static network analysis neglect micromechanisms under evolution, which lead to deviations policymaking. Methods Using temporal exponential random graph model (TERGM), accounts dynamic correlations, based framework consisting agency, opportunity inertia, this study analyzes impacts both endogenous exogenous factors Results The empirical China’s patent data from 2004 2023 reveals following findings policy recommendations. First, is temporally dependent, highlighting need awareness lags. Second, two – transitivity convergence emerge implying government create information platforms, establish targeted project subsidies, enforce technical confidentiality policies. Finally, with regard factors, exhibit geographical homogeneity, needs promote cross-regional by establishing innovation centers unified standards mitigate lock-in effects barriers.

Language: Английский

Temporal–Spatial Dynamics and Collaborative Effects of Cropland Resilience in China DOI Creative Commons
Liang Luo, Yetong Li, Wenjie Ma

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 108 - 108

Published: Jan. 8, 2025

Cropland resilience is the ability of cropland systems to adapt and rebound from multiple stresses disturbances. vital for ensuring national food security, promoting sustainable agricultural development, adapting global climate change. This study measures in China using entropy method within PSR framework. Additionally, it employs quantitative analysis methods, including kernel density estimation, standard deviation ellipse, Theil Index, geographical detector, systematically examine spatiotemporal dynamics its driving factors China. The findings reveal evolving trends over time space, highlighting regional differences spatial distribution resilience. found following: (1) overall shows an upward trend, but there uneven development among regions, particularly relatively lagging western areas. (2) There a notable imbalance resilience, primarily driven by intra-regional differences. (3) Stability Grain Production; Total Fiscal Expenditure on Agriculture, Forestry, Water; Soil–Water Harmony; Disaster Resistance Index are identified as key factors, with influence notably increasing time. (4) highlights critical role synergistic effects these enhancing noting significant strengthening synergies research results offer fresh perspective dynamic environments. They enhance our understanding characteristics underlying processes, provide scientific basis policymaking aimed at use management cropland.

Language: Английский

Citations

1
Synergetic carbon emission reduction in the construction industry: A spatial correlation perspective from urban agglomerations in southeast coastal China DOI
Xiaojuan Li,

Gaona Duan,

Chengxin Lin

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115552 - 115552

Published: March 1, 2025

Language: Английский

Citations

0
Research on the evolution of biotechnology cooperation networks – a study based on patent data in China from 2004 to 2023 DOI Creative Commons
Chongfeng Wang, Yifei Wang, Linfeng Zhong

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: March 13, 2025

Introduction Biotechnology has significant potential in public health, offering critical support for communicable disease control, chronic illness management, and drug development. To foster biotechnology innovation, governments increasingly incentivize cooperations among organizations, resulting more interconnected cooperation networks. However, research on the evolution of these networks rely primarily static network analysis neglect micromechanisms under evolution, which lead to deviations policymaking. Methods Using temporal exponential random graph model (TERGM), accounts dynamic correlations, based framework consisting agency, opportunity inertia, this study analyzes impacts both endogenous exogenous factors Results The empirical China’s patent data from 2004 2023 reveals following findings policy recommendations. First, is temporally dependent, highlighting need awareness lags. Second, two – transitivity convergence emerge implying government create information platforms, establish targeted project subsidies, enforce technical confidentiality policies. Finally, with regard factors, exhibit geographical homogeneity, needs promote cross-regional by establishing innovation centers unified standards mitigate lock-in effects barriers.

Language: Английский

Citations

0