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We explore why and how corporations seek to build community resilience as a strategic response to grand challenges. Based on a comparative case study analysis of four corporations strategically building community resilience in five place-based communities in South Africa, as well as three...
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Understanding the causality of vulnerability is difficult to do and consequently has received insufficient attention. Root causes of vulnerability needs to be understood and addressed to support adaptation that addresses climate risk and inequality. This paper contributes to this by examining...
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Surveys of public opinion conducted at different times in Canada and in the UK show that many more respondents believe in the criminal courts than in the police for controlling crime. The implications of this perceived gap in the crime control efficiency of punishing and of policing are examined...
Persistent link: https://www.econbiz.de/10013000707
This paper explores the role that energy regimes, and the search for energy security, has had in shaping humans and their societies, and the effects thereof. Energy enrollments through the domestication of plants and animals and the extraction and burning of increasingly energy-rich fuels...
Persistent link: https://www.econbiz.de/10012933077
For over a quarter of the 20 century global developments in law, economics, politics, and culture have been reconfiguring the institutions, mentalities and practices of governance (see, especially, Garland 2001; Held et al 1999). This has been happening in both established liberal democracies and in...
Persistent link: https://www.econbiz.de/10013000188
Municipalities represent a key opportunity for implementing local adaptation to the impacts of climate change. Most research has focused on the barriers to climate change adaptation, and little research exists that considers the conditions under which a municipality is able to initiate the...
Persistent link: https://www.econbiz.de/10013013738
Using machine learning methods, we develop a new measure of aggregate analyst sentiment. We first train analyst-specific neural network (NN) models that capture each analyst's common biases across firms. Using NN model outputs, we decompose the forecast errors of individual analysts into...
Persistent link: https://www.econbiz.de/10014238087