950 resultados para Elgar, Edward, 1857-1934.


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Gramscian concepts have been utilized by scholars to analyze and illuminate various aspects of GLOBAL ENVIRONMENTAL GOVERNANCE. A foremost application of neo-Gramscianism to the scholarship on global environmental governance has been in challenging the basic premise of orthodox regime theory that international environmental rule-making is the exclusive preserve of state actors. Gramscian theory is very sensitive to the role and importance of political contestations, accommodations and compromises, which many have noted as the ‘stuff’ of environmental governance. Crucially, while a Gramscian analysis is sensitive to the counter-hegemonic potential of the subordinate class and the ever contested and changing contours of power in a social regime, it does not subscribe to the unlimited possibility of outcome. Given the utility of neo-Gramscian ideas, as demonstrated by the scholarship discussed, it is surprising that the approach has not been deployed more widely in the scholarship on global environmental governance.

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In the last decades, research on knowledge economies has taken central stage. Within this broader research field, research on the role of digital technologies and the creative industries has become increasingly important for researchers, academics and policy makers with particular focus on their development, supply-chains and models of production. Furthermore, many have recognised that, despite the important role played by digital technologies and innovation in the development of the creative industries, these dynamics are hard to capture and quantify. Digital technologies are embedded in the production and market structures of the creative industries and are also partially distinct and discernible from it. They also seem to play a key role in innovation of access and delivery of creative content. This chapter tries to assess the role played by digital technologies focusing on a key element of their implementation and application: human capital. Using student micro-data collected by the Higher Education Statistical Agency (HESA) in the United Kingdom, we explore the characteristics and location patterns of graduates who entered the creative industries, specifically comparing graduates in the creative arts and graduates from digital technology subjects. We highlight patterns of geographical specialisation but also how different context are able to better integrate creativity and innovation in their workforce. The chapter deals specifically with understanding whether these skills are uniformly embedded across the creative sector or are concentrated in specific sub-sectors of the creative industries. Furthermore, it explores the role that these graduates play in different sub-sector of the creative economy, their economic rewards and their geographical determinants.

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This main argument of the chapter is that the explanation of the slow pace of business action requires a socio-cultural theory that transcends the narrow premises of dominant corporate social responsibility (CRS) and business management approaches. I assert that only a critical political economy approach which captures the complex interplay between cultural ideas, power, politics, and economic interests can provide basis for explaining the prospects and limits of corporate climate governance. My argument, which draws from similar existing works (Levy and Egan 2003, Levy and Newell 2005, Okereke et al. 2009) is focused on carbon-intensive multinational companies (MNCs) whose activities are generally considered crucial in shaping societal response to climate change (McKibben 2012).

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The impact of energy policy measures has been assessed with various appraisal and evaluation tools since the 1960s. Decision analysis, environmental impact assessment and strategic environmental assessment are all notable examples of progenitors of Regulatory Impact Assessment (RIA) in the assessment of energy policies, programmes and projects. This chapter provides overview of policy tools which have been historically applied to assess the impacts of energy policies, programmes and projects. It focuses on the types of data and models that typically inform RIAs for energy policies; the organisations involved; and issues of data exchange between energy companies and policy-makers. Examples are derived from the European Commission, the UK, Italy, the Netherlands and France. It is concluded that the technical and economic analysis underpinning RIAs on energy policy and regulation varies significantly depending on the type of organisation carrying them out.

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The chapter considers how the common good can be implemented when opinions differ within society about the nature of the common good. It explains how economic analysis can shed light on efficient conflict-management in these circumstances. The chapter argues, more generally, that virtue theorists make too little use of economics because they have an unduly restricted view of the nature and scope of the discipline

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