Core-periphery (CP) structure is frequently observed in networks where the nodes form two distinct groups: a small, densely interconnected core and a sparse periphery. Borgatti and Everett (Borgatti, S. P., & Everett M. G. (2000). Models of core/periphery structures. Social Networks, 21(4), 375–395.) proposed one of the most popular methods to identify and quantify CP structure by comparing the observed network with an “ideal” CP structure. While this metric has been widely used, an improved algorithm is still needed. In this work, we detail a greedy, label-switching algorithm to identify CP structure that is both fast and accurate. By leveraging a mathematical reformulation of the CP metric, our proposed heuristic offers an order-of-magnitude improvement on the number of operations compared to a naive implementation. We prove that the algorithm monotonically ascends to a local maximum while consistently yielding solutions within 90% of the global optimum on small toy networks. On synthetic networks, our algorithm exhibits superior classification accuracies and run-times compared to a popular competing method, and on one-real- world network, it is 340 times faster.

This paper contributes to the discussion on the link between international trade policy and food and nutrition security by looking at whether and how these concepts are addressed in Preferential Trade Agreements (PTAs). We compile a dataset covering almost 600 PTAs that entered into force between 1948 and 2024, and apply textual analysis to show that the number of references to food security has increased over recent decades. To analyse the role of the WTO Agreement on Agriculture (AoA) in shaping the rules and practices of international food trade, we investigate the placement, function, and significance of food security provisions in four case studies, looking at the extent to which the regulatory approaches of these PTAs align with or diverge from the relevant provisions of the WTO AoA. Our study reveals that, despite the growing prominence of food security and nutrition in PTAs, their regulatory approaches largely align with the AoA and seldom overcome its shortcomings. While some agreements introduce broader and more contemporary understandings of food security, binding commitments remain limited and structural tensions between national and global objectives persist.

Consider a general mortality-linked security (MLS) with a bounded payoff contingent on the evolution of the underlying mortality rate and the performance of associated risky assets. The mortality rate and asset prices are assumed to jointly follow a multivariate Itô process, driven by both a multivariate Brownian motion and a Poisson point process. We follow the utility indifference approach to pricing this MLS under the physical measure. To this end, we employ backward stochastic differential equations (BSDEs) to characterize the optimal investment strategy and the value function for the involved optimization problems. We then solve the resulting nonlinear BSDEs with a non-Lipschitz generator. This methodology, which combines the utility indifference approach with BSDE techniques, provides numerical tractability through Monte Carlo simulations. Finally, we conduct comprehensive numerical studies on the valuation of several concrete MLSs, with a focus on the sensitivity analysis of the indifference prices against various key model parameters, including, in particular, the correlation between the underlying mortality rate and asset price.

How have hopes raised by the UN1995 Beijing plan for global gender equality and empowerment been addressed in policy frameworks, academic theorising, grassroots mobilisation, and women’s everyday experience? To answer this question, the article starts with contextual snapshots, focusing on Australian, Indian, and Latin American/Caribbean examples, to draw out issues of occupational segregation, formal and informal economy work, paid and unpaid work, and migration. Two international approaches to addressing these issues were the UN’s Sustainable Development Goal and its International Labour Organisation (ILO) Decent Work agenda. While intersectional and decolonial theories critique the UN’s weak and depoliticised human rights framework, there seem to be limited alternatives right now to the work being done within this frame and to extend it. Sources of hope lie in recent Latin American and Caribbean gender mobilisations, and an emerging Care Society agenda addressing gender inequities of value, time, and voice in unpaid work. Reviewing the seven new research articles on gender and work in ELRR 36(3), this article shifts from structure to agency, identifying how constraints are reproduced and navigated. In Australia, men’s interventions in apprenticeship training structures helped perpetuate occupational segregation. Three articles document daily experiences of restricted agency or outright oppression in work/family relationships in India, where tradition and neoliberalism intersect. Argentinian communal kitchens have reduced domestic labour time and increased voice, though in Mexico, expanded community childcare provision may not shift the gender division of care.

This study treats the selection of land conservation and intensive use model counties as a quasi-natural experiment. Using Chinese county-level panel data, we evaluate the multidimensional impacts of the land conservation and intensive use policy (LCIUP). We find that LCIUP reduced PM2.5 concentrations in counties while simultaneously lowering per capita GDP, exerting a positive effect on environmental quality but a negative inhibitory effect on economic growth, showing a distinct environment–economy asymmetry. LCIUP restricts industrial land supply and curbs the entry of polluting enterprises, but fails to facilitate industrial transformation and upgrading. Counties reliant on secondary industries face significant industrial transformation lock-in challenges, while those with substantial market potential can achieve dual economic and environmental goals. Green finance policies effectively complement LCIUP to promote industrial transformation and upgrading, whereas technological innovation and talent attraction policies currently lack such synergy. Cost–benefit analysis confirms that LCIUP’s marginal environmental benefits outweigh economic losses.

Public policy encourages healthier diets using interventions like financial incentives, calorie labelling or social-norm nudges. While evidence shows these interventions can influence behaviour, effects vary across individuals, indicating a need for tailored approaches. This study explores the effects of tailoring through choice, i.e., whether allowing individuals to choose interventions improves effectiveness. In a field experiment, 839 university students chose between healthier and less healthy snacks under three interventions: (i) small financial incentives, (ii) calorie information or (iii) a social-norm nudge (i.e., 60% chose healthily). Half the respondents were randomly assigned an intervention (or no-intervention control), while the rest selected and received their chosen intervention. Among respondents given a choice, 51%, 41% and 8% selected financial incentives, calorie labelling or social norms, respectively. Self-selected interventions (marginally) significantly increased healthy snack choices compared to the no-intervention control, while randomly assigned interventions did not. When accounting for individual characteristics, chosen calorie labelling and social norm nudges significantly increased healthy choices, while financial incentives did not. Allowing respondents to choose their intervention appears effective, while random assignment is not. This positive effect of choice may be driven by selection into calorie labelling and social norms, although respondent characteristics partially explain this effect.

We study the effect of time-varying disagreement of professional forecasters on the transmission of monetary policy in Korea, which has transitioned from an emerging to an advanced economy. We find that high levels of disagreement interfere with the transmission of monetary policy and, hence, weaken monetary policy effects. However, under low levels of disagreement, a monetary policy shock elicits textbook-like responses of inflation, expected inflation, and real activity. The findings are consistent with the view that disagreement affects the role of the signaling channel of monetary transmission relative to the conventional transmission channel. We also show that the dependance of the transmission on the level of disagreement remains intact even after controlling for time-varying monetary policy uncertainty and considering the shifts in the Bank of Korea’s inflation target type.

Business management education is increasingly making use of artificial intelligence as an emerging technology that will lead to major societal changes in learning and knowledge endeavours. This editorial article focuses on the link between business management and artificial intelligence as an enabler of social policy changes. This means considering the history of artificial intelligence and how business management education has evolved in recent years. By doing so, it encourages more focus on creative uses of social policy in terms of discussion about educational initiatives. This is helpful in gaining more insight into the novel and entrepreneurial ways business management education can embed artificial intelligence and improve overall learning outcomes.

We investigate whether time pressure exacerbates or mitigates bubbles in laboratory experiments. We find that under high time pressure price volatility is lower and market prices are closer to their fundamental value. This is due to participants using simpler adaptive forecasting strategies, instead of the self-reinforcing extrapolative expectations that they use under low time pressure, and which are conducive to the emergence of bubbles. In addition, by substantially increasing the number of decision periods in our experiment, we find that in the long run prices tend to converge to their fundamental value, also in the absence of time pressure.

This paper examines the performance of smallholder crop farmers across different land ownership categories in Ghana. Using a metafrontier model, the study estimates technical efficiencies and productivity levels among farmers with formal land deeds, those without deeds, and non-landowners. The results show that land, labor, and capital significantly impact crop production across ownership categories, while social capital, income, and demographics influence managerial performance. Farmers with formal land deeds and those cultivating family-owned land exhibited superior production technologies. Enhancing access to extension services, credit, and farmer-based organizations, alongside collaboration with traditional chiefs and family heads, can improve land tenure security and productivity.

The Kyoto Protocol and the subsequent Doha Amendment represent crucial milestones in international environmental efforts to establish binding emission reduction targets for the participating members. Many studies have examined the effects of the former, but not many the latter, on emissions reduction; however, their impact is inconclusive. One major reason may be due to the heterogeneous issue arising from the fact that countries ratified and implemented those agreements at different times. This study is the first to employ the staggered difference-in-difference method to analyse the two agreements within a unified framework. We empirically found that ratifying the Kyoto Protocol has significantly contributed to a decrease in global carbon dioxide emissions, although the impacts of the Doha Amendment are not statistically clear, underscoring the substantial role those agreements can play in protecting the global environment. Our findings are robust across several techniques, including the imputation estimator and the average group-time treatment approach.

In pursuit of innovation, firms increasingly rely on technological acquisitions to access diverse, non-redundant knowledge. However, the effectiveness of such acquisitions, especially those involving geographically distant targets, remains uncertain. Existing research typically treats the acquiring firm as a unitary actor, overlooking the internal geographic structure of corporate groups. Drawing on economic geography and network theory, this study examines how the geographic distance of both headquarters and R&D subsidiaries from the target affects post-acquisition innovation. Based on 346 domestic technological acquisitions by Chinese corporate groups, we find that the headquarters-target distance impedes innovation due to integration challenges, while the subsidiary-target distance promotes it by providing heterogeneous knowledge. Headquarters-target proximity further strengthens the positive effect of subsidiary-target distance, highlighting their complementary roles in the recombination of diverse knowledge. However, geographic dispersion within the corporate group negatively moderates both distance effects by increasing coordination burden and diminishing the marginal returns to knowledge diversity. These findings provide valuable insights into how corporate groups reconfigure their geographic R&D networks by technological acquisitions to leverage geographic distance.