Search results

Peru’s recent macro-economic success has not translated into significant changes in the capabilities of the state to shape economic activities like Information and Communication Technologies (ICT) through specific policies, even though the country has drafted a national action plan, Agenda Digital del Perú, with stakeholders’ participation, as well as a National Broadband Plan. While there are some state programs that have been considered successes and are potentially examples for Peru and the region, the intent of having a full set of “information society” policies, as in the European Union, has failed.

The paper explores two sets of issues: the diffusion of internationally sourced policies and the capabilities of governments to impact the use of ICT. In the Peruvian case, the state has not been capable of both designing its own set of policies while still following the lead proposed at international fora. To understand the lack of success, it is necessary to differentiate between the shortcomings of local policy-making and the international agenda. Policy makers’ insistence on an “information society” approach is particularly prominent, as the term has been ever present as a policy objective while still lacking actual meaning.

This paper will explore the role of policy-making and the failures of digital policies. It will also consider the contradictory nature of a policy-making process that privileges policies stemming from international bodies over locally driven understandings of ICT policy needs.

This chapter summarises the book by presenting eight future research and policy avenues.

This paper brings together the literature on theories of complexity adaptive systems (CAS), develops an analytical framework, applies this framework to the development of tourism destinations and critically reflects on the use of this perspective.

This paper elaborates on a CAS perspective on destination development, to further develop complexity thinking in tourism studies. This approach enables to identify policy avenues geared towards improving destination governance and contributing to sustainable tourism development.

Theories of CAS offer an analytical lens to better understand destination development, drawing explicit attention to (1) the levels of the individual, (emergent) structures, the structure-agency interface and the system level, (2) the steps related to the process of adaptation that is critical for systems to survive and thrive in times of change and (3) the undervalued importance of considering the factor of time.

Applying CAS theories help to address a range of (policy) avenues to improve destination governance, contributing to a shift in focus from reactively fixing problems to proactively addressing the structural issue of adaptive capacity building. It shows that managing tourism destination as complex systems involves a set of conditions that are critical as well as difficult to meet in tourism practice.

The COVID-19 pandemic has led to global economic policy uncertainty, which has increased the need to investigate ways to mitigate the uncertainty. This study aims to examine the potential of cryptocurrencies as a hedge and safe haven avenue against economic policy uncertainty.

This study investigates the behavior of the five leading cryptocurrencies in relation to country-level and group-level economic policy uncertainty indices, as measured by the text-based method developed by Baker et al. (The Quarterly Journal of Economics, 2016, 131, 1593–1636). The research covers a broad range of emerging and developed economies from July 2013 to September 2020. The study employs the approach of Narayan et al. (Economic Modelling, 2016, 53, 388–397) to examine the hedging and safe-haven properties of cryptocurrencies.

This study finds that the top cryptocurrencies play a hedging role against economic policy uncertainty, with some exceptions. Additionally, there is evidence to support the idea that cryptocurrencies can serve as a safe haven during the COVID-19 pandemic. As a result, investors may benefit from using cryptocurrencies as a risk-management avenue during times of uncertainty.

This research contributes to the existing literature by testing the cryptocurrencies' hedging and safe haven properties in a new way, by analyzing their lead and lag behaviors using a recent and innovative approach. Additionally, it examines a wide range of emerging and advanced markets, providing insight into the potential of using cryptocurrencies as a risk mitigation avenue.

Despite the mounting evidence of gazelles’ higher economic contribution, there is no consensus on whether and how to support gazelles. In this chapter, we therefore discuss varied gazelle policy views as well as the inherent challenges of supporting gazelles. Here, we draw on relevant academic literature as well as on international policy examples. Additionally, we analyze Germany’s gazelle policy stance by triangulating information collected from the literature, practical policy examples and interviews, we carried out with German support agencies and policymakers. Though Germany’s general policies and framework conditions create necessary conditions for gazelles to emerge, they are insufficient to guarantee their prevalence. Moreover, Germany’s policy approach of encouraging new firm formation and self-employment and its focus on the financial support for small as well as technology or innovation-oriented firms is not consistent with the state-of-the-art knowledge about gazelles. Using the case of Germany, we argue that general entrepreneurship policies and high-growth entrepreneurship (gazelle) policies are distinct approaches having divergent and sometimes conflicting objectives and support mechanisms, which need to be synchronized to be effective.

After Jomtien¹ under the goal of providing “education for all” a great number of countries made a strong commitment to extend the benefits of education to the poorest sectors of their population. Efforts have been made in the following years to fulfill this promise. But the issues associated with understanding and addressing disadvantaged populations are multiple and complex. Moreover the strategies followed by a number of countries have been framed under structural assumptions inherently limiting and undermining the intentions of the policies that gave them origin. Seeking to understand the challenges and complexities of change in these contexts, I analyze Mexico's assumptions framing educational policy toward the rural and indigenous poor.² I argue that a number of initiatives may fail to fully address the needs of these populations due to the assumptions underlying these policies which end up resting agency to the poor, their children, and to their teachers and schools. After describing the theoretical framework used in this chapter and providing a brief description of Mexico's political economy, I examine Mexico's past and current government policies toward the poor and look at the spaces that have opened up for innovation due to growing relationships with the global economy and the global community and to relationships between Mexico's central and local governments. I suggest that compulsory early childhood education is one obvious avenue (complementing policies such as Federalizacion and teacher education) to correct centuries of injustice and neglect. I discuss the implications of this analysis within the context of the current decentralization movement and the growing discontent among the rural poor.

This paper aims to ask how the European Higher Education Area (EHEA) has orchestrated a sustainable development (SD) agenda in its international policy since 2020.

By drawing on theoretical ideas around policy orchestration as a key UN governing strategy and applying them to the analysis of the progression of the SD agenda in the EHEA, the paper conducts a thematic analysis of six recent key EHEA international policy documents and 19 interviews with key Bologna stakeholders in France, Germany and Italy.

The resultant analysis uncovers three overarching key themes that show the EHEA has the capacity to mitigate pitfalls in the UN’s SD agenda; some weaknesses of the UN’s orchestration of SD are translated into weaknesses in the EHEA’s formulation of its SD agenda; and the further development of an SD agenda as an essential direction of EHEA’s work. The paper then goes on to discuss how EHEA policies only mention SD discourse, omit concrete plans for its implementation and keep the very meaning of SD ambiguous throughout international policy documents.

The authors offer three original recommendations that the EHEA should adopt in an attempt to mitigate the issues raised in the run-up to its 2030 deadline for implementing its policies: the EHEA should develop an explicit definition of SD; recognise the Euro-centredness of EHEA policies and open them up to other voices; and cite academic research when developing policy documents.

The purpose of this paper is to explore the effect of monetary policy on bank risk in the banking system in some MENA countries. It explores how some economic and credit indicators affect the level of risk in the banking sector. It combines many factors that could affect banks’ risk appetite such as macroeconomic conditions, banks’ credit size and lending growth. The authors use nonperforming loans as a proxy for banking sector risks. At first, the authors have analyzed the linear relationship between monetary policy and credit risk. As mentioned above, nonlinearity is expected in the underlying relationship, and, thus, they have investigated the nonlinear relationship to deeply analyse the relationship using the dynamic panel threshold model, as stimulated by Kremer et al. (2013). Threshold models have gained a great importance in economics and finance for modelling nonlinear behaviour. Threshold models are useful in showing the turning points in the behaviour of financial and economic indicators. This technique has been applied in this study to study the effect of monetary policy on credit risk.

This paper is divided into the following sections: Section 2 which previews the recent literature; Section 3 which includes some stylized facts about the relationship between credit risk and monetary policy; Section 4 which deals with the model and methodology; Section 5 which handles the data sources and discusses the results, and finally Section 6 which is the conclusion. The paper adopts dynamic panel threshold model of Kremer et al. (2013).

The results show that the relationship between monetary policy and credit risk is positive and significant to a certain threshold, 6.3. If the lending interest rate is higher than 6.3, this increases the credit risk in the banking sector, because increasing the lending interest rate imposes huge burdens on the borrowers, and, therefore, the bad loans and nonperforming loans become more likely. Thus, the MENA countries need to decrease the lending interest rate to be less than 6.3 to reduce the effect of monetary policy on credit risk. Further, these results are qualitatively robust regarding the inclusion of additional control variables, using alternative threshold variables and further endogeneity checks of the credit risk, such as Risk premium and the squared term of the lending interest rate. The results of taking the risk premium and the squared term of the lending interest rate as a threshold served the analysis and confirmed the positive relationship between monetary policy and credit risk above a certain threshold. As for the risk premium, the relationship below the threshold was negative and significant. Other related research points might be a good avenue for the future research such as applying this approach to micro data of banks from different MENA countries. Also, more sophisticated approaches like time-varying panel approach to assess the relationship over the time can be applied.

The importance of this paper lies in the fact that it does not only study the effect of time, but it also focuses on the panel data about some economic and credit indicators in the MENA region for the first time. This is because central banks in the MENA region have common characteristics and congruous level of economic growth. Therefore, to study how the monetary policy affects those countries’ credit risks in their lending policies, this requires careful analysis of how the central banks in this region might behave to control default risks.

This paper aims to spark a debate by presenting the need for developing data ecosystems in Europe that meet the social and public good while committing to democratic and ethical standards; suggesting a taxonomy of data infrastructures and institutions to support this need; using the case study of Barcelona as the flagship city trailblazing a critical policy agenda of smart cities to show the limitations and contradictions of the current state of affairs; and ultimately, proposing a preliminary roadmap for institutional and governance empowerment that could enable effective data ecosystems in Europe.

This paper draws on lessons learned in previous publications available in the sustainability (Calzada, 2018), regions (Calzada and Cowie, 2017; Calzada, 2019), Zenodo (Calzada and Almirall, 2019), RSA Journal (Calzada, 2019) and IJIS (Calzada, 2020) journals and ongoing and updated fieldwork about the Barcelona case study stemming from an intensive fieldwork action research that started in 2017. The methodology used in these publications was based on the mixed-method technique of triangulation via action research encompassing in-depth interviews, direct participation in policy events and desk research. The case study was identified as the most effective methodology.

This paper, drawing from lessons learned from the Barcelona case study, elucidates on the need to establish pan-European data infrastructures and institutions – collectively data ecosystems – to protect citizens’ digital rights in European cities and regions. The paper reveals three main priorities proposing a preliminary roadmap for local and regional governments, namely, advocacy, suggesting the need for city and regional networks; governance, requiring guidance and applied, neutral and non-partisan research in policy; and pan-European agencies, leading and mobilising data infrastructures and institutions at the European level.

From the very beginning, this paper acknowledges its ambition, and thus its limitations and clarifies its attempt to provide just an overview rather than a deep research analysis. This paper presents several research limitations and implications regarding the scope. The paper starts by presenting the need for data ecosystems, then structures this need through two taxonomies, all illustrated through the Barcelona case study and finally, concludes with a roadmap consisting of three priorities. The paper uses previous published and ongoing fieldwork findings in Barcelona as a way to lead, and thus encourage the proliferation of more cases through Cities Coalition for Digital Rights (CCDR).

This paper presents practical implications for local and regional authorities of the CCDR network. As such, the main three priorities of the preliminary roadmap could help those European cities and regions already part of the CCDR network to establish and build operational data ecosystems by establishing a comprehensive pan-European policy from the bottom-up that aligns with the timely policy developments advocated by the European Commission. This paper can inspire policymakers by providing guidelines to better coordinate among a diverse set of cities and regions in Europe.

The leading data governance models worldwide from China and the USA and the advent of Big Data are dramatically reshaping citizens’ relationship with data. Against this backdrop and directly influenced by the General Data Protection Regulation (GDPR), Europe has, perhaps, for the first time, spoken with its own voice by blending data and smart city research and policy formulations. Inquiries and emerging insights into the potential urban experiments on data ecosystems, consisting of data infrastructures and institutions operating in European cities and regions, become increasingly crucial. Thus, the main social implications are for those multi-stakeholder policy schemes already operating in European cities and regions.

In previous research, data ecosystems were not directly related to digital rights amidst the global digital geopolitical context and, more specifically, were not connected to the two taxonomies (on data infrastructures and institutions) that could be directly applied to a case study, like the one presented about Barcelona. Thus, this paper shows novelty and originality by also opening up (based on previous fieldwork action research) a way to take strategic action to establish a pan-European strategy among cities and regions through three specific priorities. This paper can ultimately support practice and lead to new research and policy avenues.

Governments everywhere are implementing reform to improve primary care. However, the existence of a high degree of professional autonomy makes large-scale change difficult to achieve. The purpose of this paper is to elucidate the change dynamics and the involvement of professionals in a primary healthcare reform initiative carried out in the Canadian province of Quebec.

An empirical approach was used to investigate change processes from the inception of a public policy to the execution of changes in professional practices. The data were analysed from a multi-level, combined contextualist-processual perspective. Results are based on a longitudinal multiple-case study of five family medicine groups, which was informed by over 100 interviews, questionnaires, and documentary analysis.

The results illustrate the multiple processes observed with the introduction of planned large-scale change in primary care services. The analysis of change content revealed that similar post-change states concealed variations between groups in the scale of their respective changes. The analysis also demonstrated more precisely how change evolved through the introduction of “intermediate change” and how cycles of prescribed and emergent mechanisms distinctively drove change process and change content, from the emergence of the public policy to the change in primary care service delivery.

This research was conducted among a limited number of early policy adopters. However, given the international interest in turning to the medical profession to improve primary care, the results offer avenues for both policy development and implementation.

The findings offer practical insights for those studying and managing large-scale transformations. They provide a better understanding of how deliberate reforms coexist with professional autonomy through an intertwining of change content and processes.

This research is one of few studies to examine a primary care reform from emergence to implementation using a longitudinal multi-level design.