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1 – 7 of 7Denis Harrington, Margaret Walsh, Eleanor Owens, David John Joyner, Morag McDonald, Gareth Griffiths, Evelyn Doyle and Patrick Lynch
Adopting an EU policy lens, this chapter primarily addresses the proposed pivotal role of firm-level innovation capability (FLIC) in small and medium-sized enterprises (SMEs) as a…
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Adopting an EU policy lens, this chapter primarily addresses the proposed pivotal role of firm-level innovation capability (FLIC) in small and medium-sized enterprises (SMEs) as a stimulant of sustainable development (SD) and green growth in Ireland/Wales. The chapter specifically examines the scale and scope of the green economy (GE), and considers the importance of organizational inherent “green” innovation capabilities (GICs) to achieve it. Underpinning the study is the methodology and concept of utilizing a facilitated cross-border multi-stakeholder learning network to enable knowledge transfer and exchange practices to flourish between partners, acting as a significant predictor of the development of SME GICs structures. Specifically, against the backdrop of the Green Innovation and Future Technologies (“GIFT” hereafter) INTERREG 4A Project, the research assesses how academic–industry partner exchange and inter-group learning and cooperation facilitates the development of GICs in smaller enterprises to realize a sustainable smart green economy in Ireland.
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Cultural criminologists have long been interested in the politics of crime and deviance, whether that be in relation to youth subculture resistance or the social reaction to…
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Cultural criminologists have long been interested in the politics of crime and deviance, whether that be in relation to youth subculture resistance or the social reaction to transgression evident in the media construction of folk devils and moral panics. While contemporary ‘new’ cultural criminology continues to be focused on the situated experience of deviant ‘edgeworkers’, this chapter argues cultural criminology’s concern with the crime-media nexus provides particularly fertile ground for exploring insights provided by activists, academics, professional journalists and citizen journalists around informal interventions on formal criminal justice processes using social media and digital technologies. Drawing on examples from a burgeoning body of crime-media research, the chapter makes a case for ‘cultural criminology activism’, which, like activist criminology, is consciously disengaged from mainstream criminology’s alignment with the neoliberal-carceral state and its reformist agenda.
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Barbara Cozza and Patrick Blessinger
The authors of this volume present a wide range of perspectives, case studies, and theories on partnerships for international development. The authors discuss the leadership…
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The authors of this volume present a wide range of perspectives, case studies, and theories on partnerships for international development. The authors discuss the leadership approaches, principles, frameworks, and elements needed to develop effective university partnerships for international development. In the age of globalization, these types of international partnerships are an essential element to drive political reform, social development, and economic growth, and as such, they have become an essential element in today’s global system of higher education. Within the context of a rapidly changing higher education system, international collaborations encourage diverse and inclusive learning environments. Readers of this volume will also understand the principles for making international joint activities structurally sound and socially oriented.
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Identification in a regression discontinuity (RD) design hinges on the discontinuity in the probability of treatment when a covariate (assignment variable) exceeds a known…
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Identification in a regression discontinuity (RD) design hinges on the discontinuity in the probability of treatment when a covariate (assignment variable) exceeds a known threshold. If the assignment variable is measured with error, however, the discontinuity in the relationship between the probability of treatment and the observed mismeasured assignment variable may disappear. Therefore, the presence of measurement error in the assignment variable poses a challenge to treatment effect identification. This chapter provides sufficient conditions to identify the RD treatment effect using the mismeasured assignment variable, the treatment status and the outcome variable. We prove identification separately for discrete and continuous assignment variables and study the properties of various estimation procedures. We illustrate the proposed methods in an empirical application, where we estimate Medicaid takeup and its crowdout effect on private health insurance coverage.
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