Search results

The purpose of this paper is to examine the role of activism in determining the identity of the “green” median voter and the influence of the green voter on environmental regulatory stringency in the US states.

Regulatory stringency is measured using output weighted abatement spending and an industry concentration adjusted index of state environmental compliance costs for the period 1989-1994. Activism measures include environmental initiatives, median support for pollution standards and voter ideology. Fixed-effects panel methodology is used in empirical estimation.

The authors find that activism increases stringency in regulating overall as well as media-specific pollution. The results particularly highlight the nuances of different approaches to activism and their varied impact across pollution media.

A drawback of the empirical estimation is the lack of continuous historical abatement spending data. A longer panel with alternative stringency measure(s) would add explanatory power to activism, especially since some activism measures capture slow-changing institutional factors.

The study identifies the conditions under which activism can have the most impact on a society's environmental outcomes since pollution varies in damages, hence abatement costs, across pollution media.

The paper adds to the existing literature by incorporating three alternative measures of environmental activism to systematically investigate its impact on environmental stringency within a fixed-effects regression design. It also promotes a deeper understanding of the efficacy of the activism process by deconstructing policy stringency across pollution media to show that activism and its impacts are more nuanced than previously studied.

The purpose of this paper is to expand on emergent data activism literature to draw distinctions between different types of data management practices undertaken by groups of data activists.

The authors offer three case studies that illuminate the data management strategies of these groups. Each group discussed in the case studies is devoted to representing a contentious political issue through data, but their data management practices differ in meaningful ways. The project Making Sense produces their own data on pollution in Kosovo. Fatal Encounters collects “missing data” on police homicides in the USA. The Environmental Data Governance Initiative hopes to keep vulnerable US data on climate change and environmental injustices in the public domain.

In analysing the three case studies, the authors surface how temporal dimensions, geographic scale and sociotechnical politics influence their differing data management strategies.

The authors build upon extant literature on data management infrastructure, which primarily discusses how these practices manifest in scientific and institutional research settings, to analyse how data management infrastructure is often crucial to social movements that rely on data to surface political issues.

This study investigate the impact of social activism on financial system stability.

Financial stability was analysed from two complementary perspectives: bank-led financial stability and financial system stability driven by sector-wide credit supply. Social activism was analysed from three perspectives: gender equality advocacy, environmental sustainability advocacy and social protection advocacy.

The findings reveal that gender equality and environmental sustainability advocacy have significant positive effects for financial stability, whereas social protection advocacy has a significant negative effect for financial stability. In addition, social activism has negative effects for financial stability in the post-2008 financial crisis era. Finally, there are differential effects for country-groups, for instance, social activism strongly improves bank-led financial stability in African countries and for BLEND countries (countries that are eligible for International Development Association (IDA) borrowing based on per capita income levels and are also creditworthy for some borrowing from the International Bank of Restructuring and Development). The findings are relevant for the on-going debate about whether social inclusivity and activism has any economic value for the stability of businesses and the financial system. The findings have implications.

The implication for policy-making is that the pressure on, or commitment of, financial institutions to be socially inclusive in all social matters such as gender equality, environmental sustainability and social protection does not guarantee stability in the financial system – whether bank-led financial stability or sector-wide financial stability. Therefore, regulators should ensure that financial institutions exercise careful discretion when adjusting their risk models to include all “social risk” factors amidst the recent pressure on corporations to be socially inclusive.

Another implication for business practice is that business leaders in financial institutions should identify the optimal level of social inclusivity that improves the stability of their corporations, because it would seem counterproductive if business leaders adopt full-scale social inclusion (or considerations) that subsequently make their corporations financially unstable which could lead to loss of shareholders wealth.

This study is the first attempt to investigate the impact of social activism on financial stability to determine whether greater social activism promotes stability or instability in the financial system.

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

This study aims to develop an interdisciplinary political theory of data justice by connecting three major political theories of the public good with empirical studies about the functions of big data and offering normative principles for restricting and guiding the state’s data practices from a public good perspective.

Drawing on three major political theories of the public good – the market failure approach, the basic rights approach and the democratic approach – and critical data studies, this study synthesizes existing studies on the promises and perils of big data for public good purposes. The outcome is a conceptual paper that maps philosophical discussions about the conditions under which the state has a legitimate right to collect and use big data for public goods purposes.

This study argues that market failure, basic rights protection and deepening democracy can be normative grounds for justifying the state’s right to data collection and utilization, from the perspective of political theories of the public good. The state’s data practices, however, should be guided by three political principles, namely, the principle of transparency and accountability; the principle of fairness; and the principle of democratic legitimacy. The paper draws on empirical studies and practical examples to explicate these principles.

Bringing together normative political theory and critical data studies, this study contributes to a more philosophically rigorous understanding of how and why big data should be used for public good purposes while discussing the normative boundaries of such data practices.

This study aims to discuss the role of data in a disaster and important reconstruction process currently undergoing in Portugal.

The consequences resulting from the wildfires of 2017 and 2018 are the scope of this research paper. The main goal is to understand the role of data, namely, in terms of identifying existing usage, the derived problems and possible improvements. The given topic will be researched targeting secondary sources. The sources include official reports, legal proceedings and relevant newspaper articles.

In the course of the work, it was possible to identify some important data related pitfalls. Different levels are considered: information prior to extreme events; access to information during the wildfire events; and the problems observed in the aftermath, when tackling reconstruction processes. Civil protection policies in Portugal are failing to integrate population in their socio-technical arrangements.

Important implications can derive by the ongoing investigations and trials enduring in Portuguese justice. This is a process receiving strong media coverage, enacting major revisions to the legal framework and to public policies.

Positive social implications may be derived from a stronger focus on transparency and accountability by public authorities. To achieve that data/information must be perceived in a completely different way, aiming at the public good. For the state, data ownership should not constitute the primary goal. Lack of data and transparency has been undermining social relations in the affected areas.

The literature on forest fires is vast, although there are little concerns on the role of data to improve policymaking and to produce positive social impacts, especially in the aftermath of catastrophes. The Portuguese example underlines how information sharing and transparency are important to safeguard social bonds.

The purpose of this paper is to examine how the shifting conceptualization of the democratizing potential of digital technology can be more comprehensively understood by bringing in science and technology studies (STS) perspectives to communication scholarship. The synthesis and discussion are aiming at providing an interdisciplinary theoretical framework for comprehensively understand the democratizing potential of digital technology, and urging researchers to be conscious of assumptions underpinning epistemological positions they take when examining the issue of democratizing potential of digital technology.

The paper is a constructive literature review that synthesizes and integrates existed literature from communication and STS on the democratizing potential of digital technology. The author attempts to bridge theoretical perspectives from communication and STS by identifying core arguments and debates around key concepts and discussing potential implications of different epistemological positions.

Tracing the evolving analytical perspectives of technological determinism, the social construction of technology and actor-network theory, the author argues that researchers should be aware of their underlying epistemological assumptions embedded in relationships among users, technological systems and social factors. Analyzing the contested notion of power in the democratizing potential of digital technology from two contrasting perspectives, the author argues that researchers should recognize both the front end and the back end of digital technology in their analysis. In addition, new challenges of algorithm opacity and accountability in impacting the democratizing potential of digital technology are further discussed.

This study provides an original interdisciplinary theoretical framework by reviewing and bridging scholarship from communication and STS in examining the democratizing potential of digital technology. Adopting this interdisciplinary theoretical framework helps researchers develop a more nuanced and comprehensive understanding of the democratizing potential of digital technology.