How does international assistance impact public attitudes towards donors in the recipient country when tied to strategic interests? European leaders increasingly highlight the strategic and transactional nature of international assistance. Yet, we still do not know much about how such shifts in the framing of international assistance are perceived by the recipient public, especially in contexts with prevalent anti-Western attitudes and propaganda that dismisses aid as hypocritical and disingenuous. I conducted an online survey experiment in Turkey to assess the attitudinal and quasi-behavioural effects of different types of international assistance post-disaster – conditional, unconditional, and strategic – and whether they help sway public attitudes in the face of authoritarian propaganda. Strategically distributed humanitarian aid decreased trust in the government as a defender of national interest among conservative, nationalist and Eurosceptic regime supporters, and also increased trust in European organisations. It did so partly by mitigating conspiracism and evoking positive emotions among pro-government voters whose views are hard to change. However, this comes at a cost: increased trade scepticism and decreased engagement with foreign media outlets among regime opponents. The findings have significant implications for international assistance strategies for increasing European soft power.
Governance theories offer a useful approach to policy by highlighting the need for multi-actor, multi-sectoral, and multi-level cooperation to deal with complex problems. Digitalisation, on the other hand, can be a means for managing networks, for helping to maintain the dynamics of meta-governance, and for generating problem-solving strategies based on knowledge exchange. Both seem to imply each other: governance requires tools to foster collaboration through the development of common understandings of problems, for which digitalisation can be instrumental. Effective digitalisation should foster governmental, social, and private steering towards public service, transparency, and the improvement of accountability. Digitalisation appears to require some basic conditions of governance related to fair access to services; beliefs and narratives that promote cooperation; processes of co-creation; and the interchange of information, as well as operative regulatory institutions. Governance and digitalisation together are fundamental for the management of complex policy problems.
The aim of this Discussion Paper is theory advancement and refinement, linking assumptions about governance theories – particularly those resulting from the three waves of governance – to those of mainstream digitalisation literature. It formulates a research agenda to explore the possible mutual repercussions of those literature developments. The Discussion Paper is neither mainly descriptive nor prescriptive, but develops certain implications that stem from some fundamental problems of governance – defined as a process of multi-actor, multi-sector, multi-level cooperation – and digitalisation. The research agenda is presented in the form of conjectures relevant to the Mexican case, related to the roles, functions, and expected results of different actors dealing with governance problems within the context of increased digitalisation. The conjectures advance possible research areas related to the role of digitalisation in meta-governance carried out by governmental actors; in those of network cooperation maintained by academic institutions; in the improvement of problem-solving by non-governmental organisations; and in the possible co-creation of new knowledge through information-based interactions by the media.
Francisco Porras is a professor and full-time research fellow at the Mora Research Institute (Instituto Mora), Mexico City.
Development is a complex phenomenon that involves economic, social, and environmental transformations. In recent decades, sustainable development (SD) has gained prominence as a policy objective, emphasizing balanced progress in economic growth, social inclusion, and environmental protection. However, measuring SD progress remains challenging, given the need to consider such multiple dimensions, which often show trade-offs; this is especially true in developing countries such as Peru, where rapid socioeconomic changes coexist with environmental degradation. Traditional metrics, such as GDP or composite indicators such as the Human Development Index, often fail to capture the multidimensional and dynamic nature of SD, especially in terms of the environmental side. This paper employs a multivariate latent Markov model (LMM) to assess Peru's progress toward SD from 2004 to 2017, incorporating economic, social, and environmental indicators. LMMs are advantageous, as they account for unobserved heterogeneity and state transitions between sustainability levels over time, offering a nuanced understanding of SD dynamics. Our findings reveal that while Peru experienced economic and social improvements during the study period, the inclusion of environmental factors in the SD measure curbs overall progress, highlighting potential trade-offs between poverty reduction and environmental quality. The results underscore the importance of integrating environmental considerations into SD strategies, particularly in the context of rapid economic growth. This study contributes methodologically by applying a dynamic and data-driven approach to measuring SD and provides valuable information on the interaction among its dimensions.