PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
July 8, 2026Atmosphere0 citationsOpen Access

Intercity Interaction Effects of PM2.5 Pollution and Their Determinants in the Guangdong–Hong Kong–Macao Greater Bay Area: A Network Analysis Based on CCM

View Full Paper
ZHZ. X. HeRWRuochong WangHJHuang Jie

Key Points

Key points are not available for this paper at this time.

Abstract

PM2.5 pollution control in the Guangdong–Hong Kong–Macao Greater Bay Area requires a clearer understanding of how PM2.5-related linkages are organized across closely connected cities and jurisdictions. This study develops a CCM-based directional-network framework using PM2.5 pollution data from nine cities and two special administrative regions in the Greater Bay Area. Convergent cross mapping is first applied to identify nonlinear directional associations among cities, based on which an intercity PM2.5 pollution network is constructed. Social network analysis and motif analysis are then used to reveal the network’s macro-level connectivity and micro-level interaction patterns. An exponential random graph model is further introduced to identify the natural and socioeconomic factors associated with the emergence of intercity PM2.5 pollution linkages. The results show that PM2.5 levels in the Greater Bay Area generally declined across the selected years, with high-value areas becoming more localized, while the CCM results revealed heterogeneous nonlinear directional linkages among cities. The strongest CCM linkage was observed from Foshan to Guangzhou (0.8978), whereas the weakest linkage was observed from Macao SAR to Zhaoqing (0.4993). The results derived from social network analysis indicate an east–west cross-regional linkage pattern, with most cities serving as bridging nodes in the network. Natural factors, including temperature and precipitation, as well as socioeconomic factors, including economic development and population density, were significantly associated with the formation of intercity PM2.5 pollution linkages. These findings highlight the need for an integrated governance approach that combines source-oriented control, coordinated management of intercity PM2.5-related linkages, and public participation to improve collaborative PM2.5 pollution management in the Greater Bay Area.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

He et al. (2026) studied this question.

synapsesocial.com/papers/6a501faa4f87971891e9fe9ehttps://doi.org/10.3390/atmos17070676
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Modes of Network Governance: Structure, Management, and Effectiveness2007 · 3,922 citations
  2. 2Social Network Analysis1994 · 17,252 citations
  3. 3Air quality model performance evaluation2004 · 1,190 citations
  4. 4Study on the Influence of Regional Transportation on PM2.5 Based on the RAMS-CMAQ Model in Weihai, a Typical Coastal City of Northern China2021 · 9 citations
  5. 5Cross-regional transport of PM2.5 nitrate in the Pearl River Delta, China: Contributions and mechanisms2020 · 48 citations