This paper examines how discourse coalitions and conflicts of nation-states at UN COP conferences have changed over time, and consider how this relates to changes in global political economy. My dataset consists of over 2,300 speeches by nation-state representatives from COP1 in 1995 to COP28 in 2023, compiled from United Nations archives and national government websites. In these speeches, representatives highlight important issues they see as relevant to climate change, their recent and planned climate-related actions, and the COP process and their participation in it. I use topic modelling to identify distinct climate-related topics, and groups of nation-states adhering to these topics at different times. I analyze points of convergence and conflict throughout nearly three decades of the UNFCCC process, and consider how these relate to changes within countries and across the global political economy, with particular focus on comparing how the discourses of developed, developing, and BRICs countries change over time.

Misinformation, disinformation, and fake news about climate change are widespread on social media. Climate skepticism can be contagious as climate change is not just an environmental issue but also intertwined with social, political, and economic concerns. Alerting messages from climate change deniers, labeling it a “climate scam,” have fueled conversations on social media. However, the mechanisms driving social connectivity and information dissemination in climate skepticism discourse remain understudied. This study addresses this gap by examining how source characteristics and message framing strategies shape user interactions in the climate skepticism network, employing a mixed-method approach that integrates an Exponential Random Graph Model (ERGM) and content analysis. The model includes source attributes, distinguishing between individual and organizational accounts and classifying individuals as celebrities or non-celebrities. Dominant framing strategies in skeptical conversations are included as edge attributes. The homophily effect is tested to assess the likelihood of conversational tie formation between similar sources, while clustering effects are analyzed to determine whether specific sources and framing strategies drive network cohesion. X network data on “climate scam” from January 1 to March 1, 2024, was collected and analyzed. The unit of analysis consists of 19,872 unique users and 53,103 conversational ties, forming a directed network. Preliminary findings indicate that the network exhibits a small-world structure with high clustering. The dominant framing strategies are conspiratorial, political, and scientific. This study enhances understanding of the generative processes behind opinion formation and echo chamber effects in climate skepticism, shedding light on their potential role in climate policy opposition.

Scientific research on climate change emphasizes carbon performance (CP) as essential to sustainable management. The framework examines business greenhouse gas emissions from environmental restrictions and public expectations. CP has been explored for pollution monitoring and financial incentives like carbon credits, but sociological knowledge of corporate networks as sustainability advocates is lacking.

This study examines CP through the lens of corporate centrality, defined as a company’s position based on its connectivity and influence within a network. It analyzes different types of centralities in Mexican corporations, employing social network analysis (SNA) and metrics such as degree, closeness, eigenvector, and betweenness centrality.

The research focuses on networks of shared board members (board interlocks) and the carbon emissions reported by these companies. Using a symmetric undirected matrix to account for board interlock connections, our findings reveal whether companies with higher centrality implement more effective sustainability practices, positioning them as key nodes for disseminating emission reduction strategies.

Furthermore, the study aims to identify the challenges faced by peripheral companies, which, despite having less influence, exhibit greater flexibility to adopt innovative approaches. This research offers theoretical and practical frameworks to improve business sustainability plans and highlights the significance of network dynamics in advancing low-carbon economies.

The findings enhance the domain of business management and sustainability, emphasizing the significance of collaboration and leadership in addressing climate change. The report provides pragmatic ideas for formulating public policies and business initiatives that enhance the role of core enterprises and promote sustainable development.

Extreme weather events, such as droughts, floods, and hurricanes, increasingly shape the lives of communities across Mexico. While exposure to similar climate events might suggest shared experiences, the social and economic consequences of these events vary drastically. Some communities recover quickly, while others suffer prolonged economic hardship, displacement, and intensified migration. This study adopts a network perspective on climate change to investigate how extreme weather events connect communities in Mexico and how these connections contribute to unequal social and economic outcomes.

We analyze the evolving structure of climate-induced community networks using a combination of high-resolution NASA weather data and social and economic data from the Mexican Migration Project. We construct a bipartite network linking communities to extreme weather events, where ties represent shared exposure to specific climate shocks. By modeling the evolution of this network from 1980 to the present, we examine how climate events create interdependencies among communities and influence migration patterns, economic resilience, and long-term demographic shifts. Specifically, we assess whether communities with similar climate exposure experience parallel social and economic consequences or whether preexisting inequalities exacerbate divergent outcomes.

Preliminary results suggest that the number of communities affected by the same extreme weather events has increased significantly since the early 1990s, creating dense clusters of climate-linked communities. However, the economic and migration consequences of these shared exposures are highly unequal. Wealthier communities often absorb climate shocks with fewer disruptions due to greater institutional support, financial stability, and diversified economies. In contrast, poorer communities, particularly those reliant on subsistence agriculture or informal labor markets, face greater displacement risks and higher migration rates to the U.S. and urban centers within Mexico.

This research contributes to a growing literature on climate-induced inequality by shifting the focus from isolated community-level effects to the broader relational dynamics that structure climate vulnerability. Our findings highlight the need for policy interventions that recognize not only the increasing frequency of extreme weather events but also the interconnected nature of their consequences. Understanding how climate events bind communities into shared experiences—while simultaneously deepening socioeconomic inequalities—can inform targeted adaptation strategies, such as regional economic safety nets and climate-responsive migration policies.

Sustainability and sustainable development include questions of climate change, as well as climate-culture, but are broader, involving other environmental concerns (such as local pollution and plastic waste,) as well as questions of social justice and distribution of economic resources in human communities and environmental protection, addressing various forms of pollution, ensuring conservation of wildlife and the maintenance of healthy ecosystems to enhance security by building resilience to the impacts of climate change.

Climate change, due to increased carbon emissions worldwide, is the greatest challenge facing sustainability efforts. It affects economic systems, increases social inequalities and causes severe environmental impacts. Sustainability represents an opportunity to ensure that both present and future generations meet their needs. Climate change is a highly controversial issue, with contestation over its facts, causes, proposed solutions and the values underpinning them (Hoggett, 2011; Marshall, 2014). It is embedded in broader knowledge wars in the contemporary era, with the proliferation of ‘fake news’, manipulation of the citizenry through social media, and distrust of experts – leading to the notion of the ‘post-truth’ era.

This study applies Principal Component Analysis (PCA) to evaluate how meteorological factors influence PM10 pollution in Skopje, Kumanovo and Bitola from 2012 to 2020. PCA reduces data complexity while identifying key weather variables that impact air pollution levels.

Findings indicate that temperature and wind speed have the strongest negative correlation with PM10 concentrations, meaning lower temperatures and weaker winds are linked to higher pollution levels. These conditions limit pollutant dispersion, leading to worse air quality. Humidity and precipitation have mixed effects—humidity can promote both the removal and formation of pollutants, while precipitation aids in PM10 reduction through wet season, depending on intensity and duration.

The extracted principal components explain a significant portion of pollution variability, highlighting the dominant meteorological influences on air quality trends. By clarifying these relationships, PCA enhances the understanding of air pollution dynamics in the three largest urban areas in North Macedonia.

This analysis provides valuable insights for air quality management in North Macedonia. By identifying the key meteorological drivers of pollution, policymakers can develop more targeted and effective strategies to mitigate PM10 levels and improve public health.

Climate adaptation governance refers to the structures, processes, and policies that manage climate change impacts. Collaborative partnerships between organizations involved with climate adaptation creates a network that binds the governance structure together. Understanding the key actors in a governance system is critical for understanding how to leverage existing structural components of the network to overcome institutional and social barriers to adaptation, such as network fragmentation or diverging adaptation goals. Utilizing a 2024 survey of climate adaptation practitioners in the Sacramento-San Joaquin Delta, this study answers two questions: 1) Which organizations are most central to the collaborative network? and 2) How does this differ across land-use contexts? We answer these questions by using a core-periphery network test and examining different centrality measures to identify popular, influential, broker, or broadcaster organizations. We expect to see a similar collaborative network structure between practitioners working in rural and mixed land use contexts compared to urban, which we expect to be more decentralized. This study will establish which organizations act as key adaptation players in the Delta and how this varies across the urban-rural spectrum.

Environmental governance in non-Western contexts remains underexplored, particularly in resource-rich and politically complex settings like Iran. Drawing on theories of distributed governance, this study examines how diverse stakeholders—including governmental institutions, NGOs, academic and research institutions, media outlets, religious and cultural organizations, private sector, and international entities—engage in environmental governance through digital platforms. Using a mixed-methods approach, we combine social network analysis (SNA) (e.g., centrality measures, community detection), discourse analysis, and Causal Layered Analysis (CLA) to map Iran’s environmental governance network. CLA examines discourse at multiple levels, from surface narratives to deeper systemic and worldview perspectives, using textual, visual, and audio data. SNA focuses on structural patterns derived from hyperlinks, partnerships, and collaborations, visualized through node size, clusters, and bridging roles. Together, these methods reveal how actors employ selective coupling to align their connections and discourse with institutional logics. In network analysis, selective coupling is evident in how actors form ties based on shared policies, interests, or discursive alignment, while avoiding connections with others. In discourse analysis, it appears in how actors emphasize certain topics (e.g., religious framing of stewardship) while ignoring others, shaped by their institutional logic, interests, or relationships. Preliminary findings highlight the central role of government-linked actors and the bridging function of media platforms, with institutional logics—state bureaucratic (e.g., top-down enforcement)—shaping actors' strategies. By integrating network, institutional, and discourse analyses, this research advances theories of distributed governance and institutional logics, offering a framework for addressing environmental actors and challenges in politically constrained regions.

Climate change and its’ impact on both human and environmental health presents a pressing and complex challenge, with healthcare sustainability playing a critical role in both adaptation and mitigation efforts. Not only is healthcare infrastructure under pressure from rising demand due to climate related disasters, illness, and morbidities; it also has a significant environmental footprint. For instance, initial estimates demonstrate that healthcare operations contribute up to 8% of total annual greenhouse gas emissions in countries like the United States and Australia.

Despite this, little is known about how healthcare systems are currently making decisions regarding climate resilience. Similarly, little is known about how climate-related policies and initiatives are then playing out on the ground. This study is the first of its kind globally, applying social network analysis to explore the governance of climate resilient development in healthcare systems. It sheds light on how specific governance traits either enable or hinder sustainable transformations, offering insights into which governance characteristics should be scaled up.

Focusing on the Australian healthcare system, this research has major global relevance, presenting numerous practical implications for other healthcare contexts. Ultimately, this research builds a foundational understanding of the social determinants of both adaptive and possibly transformative responses to tackling climate change within healthcare systems.

This work assumes that the fossil fuel industry and its enablers act as a ‘fossil network’ to protect their vested interests though the support and continuity of the generalized use of fossil fuels.

At the same time, it posits that an antagonist ‘decarbonization network’ largely motivated by the counter-hegemonic’ anti-fossil fuel and planetary health beliefs and values of its components confronts the fossil network to attempt to the progressive phasing out of fossil fuels from socio-economic systems.

Building on these assumptions, we propose addressing the fossil-supportive and change-resisting behaviors of the fossil network and the decarbonization network’s multipronged efforts to terminate a fossil infrastructure through a concurrent analysis of both networks to spatially and temporally investigate their structures and the practices of support and of deactivation they respectively carry out.

The proposed approach – we call it ‘dual network approach’ – conceptualizes decarbonization processes as a continuous conflict between two multi-layered networks, both resorting to different agents and sequences of practices. It is applied to the fossil network emerged to support the conversion to gas of a group of coal-fired power plants in Civitavecchia, a long-standing fossil energy hub near Rome, Italy and to the antagonist decarbonization network that aimed to block such conversion.

The goal of this work is to disentangle and analyze patterns and causal relationships of the complex web of agents and practices emerging from the confrontation between the fossil and the decarbonization network pursuing simultaneously their respective goals in the case study considered.

Indian climate policy has evolved as a multi-stakeholder process with dominant underpinnings of justice and equity. The existing literature documents the importance of civil society, academic and governmental actors, and their networks in driving different justice related agendas within the policy subsystem but inadequately explains how the climate justice policy discourse has evolved over time. The current study aims to uncover changes in the dominant elements of the climate justice discourse in India. It employs print media data from three English dailies in the Indian climate policy corresponding to major international climate conferences of parties (COP): 2009, 2015, and 2021. It draws theoretical insights from the Advocacy Coalition Framework (ACF). The analysis has revealed two coalitions in 2009 and three coalitions in each of the 2015 and 2021 periods with actors promoting different agendas related to international and domestic climate justice. As the singular demand for international climate justice transforms to moderate acceptance of domestic climate action, the domestic climate justice movement in India gains strength and diversifies. The study provides useful insight into the trajectories related to climate justice and foregrounds the need to engage with domestic climate justice concerns for effective climate action in the coming years.

India’s coal transition requires an in-depth understanding of structural dependencies among mining companies, power plants, and states. While coal phase-outs are often planned based on efficiency of power plants, this study employs Social Network Analysis (SNA) to assess influence using supply chain positioning, emissions intensity, and network centrality metrics. The analysis of India’s coal network highlights structural dependencies, state-level vulnerabilities, and mining company dominance in the supply chain. SECL, MCL, and CCL emerge as the most critical mining companies, supplying high-capacity, high-emission power plants such as Vindhyanchal STPS and Rihand STPS, reinforcing their centrality in the energy system. In contrast, WCL and NECL have limited structural influence, meaning their coal phase-out would cause minimal disruptions. At the mine level, Korba, Talcher, and Singrauli emerge as key supply hubs, yet Singrauli ranks lower in out-degree, indicating it supplies fewer but higher-capacity plants. Contradictions arise where Jharia and Paschim Bardhaman rank high in emissions but lower in supply volume, indicating that coal quality and plant efficiency drive pollution more than raw supply capacity. Chhattisgarh, Uttar Pradesh, and Maharashtra are the most coal-dependent states, while Tamil Nadu ranks high in network influence, suggesting renewable investments here could stabilize the broader grid. These findings emphasize that coal transition planning must integrate network-based insights, balancing decarbonization with energy security and economic resilience. By adopting SNA-driven policy frameworks, India can align its coal phase-out strategies with climate change mitigation, while ensuring a just transition that strengthens energy networks and economic stability.