This article proposes and studies two Huber-type estimation approaches, namely, the Huber instrumental variable (IV) estimation and the Huber generalized method of moments (GMM) estimation, for a spatial autoregressive model. We establish the consistency, asymptotic distributions, finite sample breakdown points, and influence functions of these estimators. Simulation studies show that compared to the corresponding traditional estimators (the two-stage least squares estimator, the best IV estimator, and the GMM estimator), our estimators are more robust when the unknown disturbances are long-tailed, and our estimators only lose a little efficiency when the disturbances are short-tailed. Moreover, the Huber GMM estimator also outperforms several robust estimators in the literature. Finally, we apply our estimation method to investigate the impact of the urban heat island effect on housing prices. A package is published on GitHub for practitioners to use in their empirical studies.

This paper uses China’s 2016 Pollutant Discharge Permits System (PDPS) to evaluate its impact on innovation in the food processing industry. We begin by exploring the entry and exit decisions of food processing firms. The findings suggest that stricter environmental enforcement following the PDPS leads to decreased local firm entry but increased neighboring firm entry, indicating that new firms tend to locate in neighboring regions with less stringent regulations. Building upon this pattern, we argue that the PDPS’s positive impact on firm innovation is primarily driven by increased industry agglomeration – a dynamic directly stimulated by heterogeneous regulatory pressures.

In a ruling delivered on 1 August 2025, the Court of Justice upheld a General Court judgment annulling the classification as a suspected carcinogen of titanium dioxide in powder form containing at least 1% of particles of a diameter equal to or below 10 μm. Both EU Courts criticise the scientific assessment underlying that classification, but the Court of Justice relies on conceptual distinctions that reveal its reluctance to perform a genuine “manifest error of assessment” review. While these issues are not addressed by the Court of Justice, the case also raises thorny questions regarding the meaning of “intrinsic properties” of a substance.

Social media often follow a visual logic found to increase engagement, as images are more likely to attract attention, presenting information on a holistic-associative basis. For a political entity like the EU, social media are a promising route to overcome the remoteness to its citizens, identified as one of the crucial challenges to its public legitimacy. Against this broader background, our study analyses the influence of 10 years of EU visual social media communication on user engagement as an indicator of successfully creating visibility in a crucial communication space. For this purpose, we conducted an image-type analysis, combining quantitative and qualitative features of visual analysis: First, a subsample of posts was inductively analysed to identify recurring image types and subsequently used to implement a manual quantitative visual content analysis. Building on the results, we drew on a machine learning approach, allowing us to analyse over 40,000 posts, including more than 20,000 pictures. Our results emphasise the crucial influence of social media affordances in explaining user engagement with EU visual social media communication. Implications are discussed with reference to the ongoing discussion about the EU’s democratic deficit.

In the 1970s, activists in the Youth International Party transformed new technologies and techniques in the American telephone system into tools for advancing the political aims of the New Left. The Yippies adopted new practices of telephone “hacking” or “phone phreaking” and developed these practices to manipulate, defraud, and protest the AT&T Bell System. Appeals to and protests of “the system” invoked the image of a broader American state. The practice of phone phreaking bridged the technical exploitation of AT&T with critiques of monopoly capitalism, state surveillance, postwar conformity, and American empire. By the late 1970s, as the New Left faded in prominence and the Bell System was itself broken up, the vernacular of system changed. Within an emerging “computer underground” of phreaks, hackers, and users connected through electronic bulletin board systems, the Yippie vernacular of system was reinterpreted as a critique of the state in the language of ascendant conservative and libertarian politics.

Relationships among teachers are known to influence their teaching-related perceptions. We study whether and how teachers’ advising relationships (networks) are related to their perceptions of satisfaction, students, and influence over educational policies, recorded as their responses to a questionnaire (item responses). We propose a novel joint model of network and item responses (JNIRM) with correlated latent variables to understand these co-varying ties. This methodology allows the analyst to test and interpret the dependence between a network and item responses. Using the JNIRM, we discover that teachers’ advising relationships contribute to their perceptions of satisfaction and students more often than their perceptions of influence over educational policies. In addition, we observe that the complementarity principle applies in certain schools, where teachers tend to seek advice from those who are different from them. The JNIRM has the potential to improve the cost efficiency of network studies by integrating network and item response information during model estimation.

Even though the incidence of conflicts between Fulani nomadic pastoralists and sedentary communities in Nigeria has risen significantly in the last decade, there is a notable lack of research examining how these conflicts influence distrust towards members of the Fulani ethnic group and Muslims. Using novel survey data from Kaduna, the state with the third-highest incidence of pastoral conflict in Nigeria, this study addresses that gap. Regression analyses show that exposure to pastoral conflict increases distrust towards the Fulani and Muslims. This suggests a contagion effect whereby the Fulani are conflated with the broader Muslim population, due to the Muslim identity of nomadic Fulani pastoralists. Disaggregating the data by religious affiliation reveals a pattern: conflict exposure raises distrust only among Muslim respondents, while effects are statistically insignificant among Christians. Among Muslims, the positive effect suggests that pastoral conflict erodes in-group cohesion. The null effect among Christians may reflect the way in which pastoral conflicts align with pre-existing religious fault lines.

Despite improvement over the past few decades, particularly for white, cisgender women, intersectional gender-based inequality remains prominent within anthropological archaeology and beyond. Building on critiques of the leaky pipeline metaphor laid out in the introduction to this themed issue, and drawing on Black, Indigenous, and Posthumanist Feminisms, we advocate for a metaphorical shift focused on care, inclusivity, and diversity—that of a garden. The garden metaphor provides a way to express and explore the complex and intertwined ways disciplinary norms, institutions, and individuals structure and shape experiences in archaeology. After reviewing the garden metaphor and summarizing previous suggestions for improving equity in archaeology, we present recommendations for actionable steps at disciplinary, institutional, supervisory, and individual levels. Drawing on insights from the articles in the issue, as well as existing literature within and beyond archaeology, we argue that a greater emphasis on care, and its integration into the value structure of archaeology, would create a more inclusive discipline.

The McMurdo Dry Valleys in the Ross Sea Region of Antarctica represent a globally unique desert ecosystem where water availability is likely to change under global warming scenarios, thus influencing the distribution and abundance of biota. Using the Random Forest machine learning model, we focused on the spatial distribution of macroscopic terrestrial biota (moss, cyanobacteria, lichen, springtails and mites) in the Dry Valleys. A wetness index, explicitly driven by satellite-derived glacier surface temperatures and meltwater routing, was used along with biological survey data collected over six field seasons (2009–2014) as part of the New Zealand Terrestrial Biocomplexity Survey (n = 886 sites). Our analyses use the full extent of survey data available and include the larger Taylor, Wright and Victoria valleys, as well as data from the previously studied Miers, Marshall and Garwood valleys. The overall model accuracies were mixed (kappa statistic: 0.34% and 17.3% variance explained). However, the resulting predictive maps derived from the model and the influence of the different explanatory variables align with field observations and theoretical expectations. The models show that distance from coast was an important driver for the biota, as well as elevation and temperature. The predictive maps provide an initial model of the distribution of biota in the Dry Valleys and can guide future sampling as well as inform conservation and management strategies. Our research highlights the importance of biological survey data for use in spatial predictive modelling as well as the need to obtain representative samples from a wide range of different habitats (e.g. wet vs dry).

How do states use drone exports to build their leverage with buyers? The scholarly literature acknowledges that states use arms exports to cement alliances, improve the capacities of allies and support their domestic arms industry. But there has been no examination of how suppliers of unmanned aerial vehicles (UAVs) tailor their export strategies to develop leverage with their buyers. This paper deploys SIPRI’s classification of arms exporters (hegemonic, industrial, and restrictive) and describes how each uses a varying combination of inducements (bundling, lock-ins, and predatory pricing) and risk-mitigation strategies to build leverage while avoiding reputational damage from being drawn into external conflicts. Examining new data on seven types of follow-on sales or defence cooperation agreements after drone sales, this paper finds that of the three of the five major drone suppliers – China, Turkey, and to a lesser extent Iran – operate like hegemonic exporters. To test the proposed mechanisms, it explores how China and Turkey have exploited their drone exports to build leverage with Pakistan. It offers conclusions about how drone diplomacy will evolve as the export market diversifies.

The editors of the special issue on panpsychism and pan(en)theism introduce the issue. This includes brief summaries of each of the articles.

Previous estimations of the associations between fruits and vegetables (F/V) intake with diabetes markers showed mixed results, possibly partly because of the subjective assessment of dietary intake. We aimed to examine the relationship between plasma carotenoids and α-tocopherol (as objective markers of F/V intake) and fasting glucose. This was a population-based cross-sectional study in 592 adults in Cameroon. Self-reported F/V intake was assessed using the WHO STEPS questionnaire, and the biomarkers were analysed by HPLC. The mean age of participants was 38·5 (sd 8·6) years (63·7 % women). The median (IQR) number of times participants self-reported consuming fruits in a typical week was 2(1–5) and vegetables was 4(2–7) times/week. Plasma total carotenoids was positively correlated with self-reported intake of fruits (r = 0·13) and vegetables (r = 0·29), both P-values < 0·01. In unadjusted analysis, the difference in fasting glucose comparing the highest against the lowest tertile of the biomarkers concentrations was −0·28 (95 % CI −0·56, −0·001) mmol/l for total carotenoids and −0·31 (–0·59, −0·03) mmol/l for plasma α-carotene. The associations became stronger after adjusting for sociodemographics, lifesyle factors and cholesterol (–0·36 (–0·73, −0·002) mmol/l for total carotenoids and −0·41 (–0·79, −0·03) mmol/l for α-carotene). There was no evidence of an association between α-tocopherol and fasting glucose. We showed an inverse association of total carotenoids and α-carotene, objective indicators of F/V intake, with fasting glucose; suggesting that higher F/V intake may be beneficial for diabetes prevention in African populations where F/V intake is low.