scholarly journals Sustainable Networks: Modes of governance in the EU’s external fisheries policy relations under the IUU Regulation in Thailand and the SFPA with Senegal

Marine Policy ◽  
2021 ◽  
Vol 132 ◽  
pp. 104656
Author(s):  
Alin Kadfak ◽  
Anna Antonova
Author(s):  
Markus D. Dubber

The first part of Dual Penal State investigated various ways in which criminal law doctrine and scholarship (or “science”) have failed to address the challenge of legitimating penal power in a modern liberal democratic state. This, second, part explores an alternative approach to criminal law discourse that puts the legitimacy challenge of modern penal law front and center: critical analysis of criminal law in a dual penal state. Dual penal state analysis differentiates between penal law and penal police, two conceptions of penal power, and state power more generally, rooted in autonomy, equality, and interpersonal respect, on one hand, and in heteronomy, hierarchy, and patriarchal power, on the other. Chapter 4 applies the distinction between law and police as fundamental modes of governance set out in Chapter 3 to the penal realm and explores the tension between penal law and penal police as constituting the dual penal state.


Author(s):  
John Danaher

There is a growing sense of unease around algorithmic modes of governance (“algocracies”) and their impact on freedom. Contrary to the emancipatory utopianism of digital enthusiasts, many now fear that the rise of algocracies will undermine our freedom. Nevertheless, there has been some struggle to explain exactly how this will happen. This chapter tries to address the shortcomings in the existing discussion by arguing for a broader conception of freedom as well as a broader conception of algocracy. Broadening the focus in this way enables one to see how algorithmic governance can be both emancipatory and enslaving, and provides a framework for future development and activism around the creation of this technology.


Author(s):  
Gabriella Vindigni ◽  
Alfredo Pulvirenti ◽  
Salvatore Alaimo ◽  
Clara Monaco ◽  
Daniela Spina ◽  
...  

Fisheries products are some of the most traded commodities world-wide and the potential for fraud is a serious concern. Fish fraud represents a threat to human health and poses serious concerns due to the consumption of toxins, highly allergenic species, contaminates or zoonotic parasites, which may be present in substituted fish. The substitution of more expensive fish by cheaper species, with similar morphological characteristics but different origins, reflects the need for greater transparency and traceability upon which which the security of the entire seafood value-chain depends. Even though EU regulations have made significant progress in consumer information by stringent labelling requirements, fraud is still widespread. Many molecular techniques such as DNA barcoding provide valuable support to enhance the Common Fisheries Policy (CFP) in the protection of consumer interests by unequivocally detecting any kind of fraud. This paper aims to highlight both the engagement of EU fishery policy and the opportunity offered by new biotechnology instruments to mitigate the growing fraud in the globalized fish market and to enforce the food security system to protect consumers’ health. In this paper, after a presentation of EU rules on fish labeling and a general overview on the current state of the global fish market, we discuss the public health implications and the opportunities offered by several techniques based on genetics, reporting a case study to show the efficacy of the DNA barcoding methodology in assessing fish traceability and identification, comparing different species of the Epinephelus genus, Mottled Grouper (Mycteroperca rubra) and Wreckfish (Polyprion americanus), often improperly sold with the commercial name of “grouper”.


Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6674
Author(s):  
Sebastian Hoffmann ◽  
Fabian Adelt ◽  
Johannes Weyer

This paper presents an agent-based model (ABM) for residential end-users, which is part of a larger, interdisciplinary co-simulation framework that helps to investigate the performance of future power distribution grids (i.e., smart grid scenarios). Different modes of governance (strong, soft and self-organization) as well as end-users’ heterogeneous behavior represent key influential factors. Feedback was implemented as a measure to foster grid-beneficial behavior, which encompasses a range of monetary and non-monetary incentives (e.g., via social comparison). The model of frame selection (MFS) serves as theoretical background for modelling end-users’ decision-making. Additionally, we conducted an online survey to ground the end-user sub-model on empirical data. Despite these empirical and theoretical foundations, the model presented should be viewed as a conceptual framework, which requires further data collection. Using an example scenario, representing a lowly populated residential area (167 households) with a high share of photovoltaic systems (30%), different modes of governance were compared with regard to their suitability for improving system stability (measured in cumulated load). Both soft and strong control were able to decrease overall fluctuations as well as the mean cumulated load (by approx. 10%, based on weekly observation). However, we argue that soft control could be sufficient and more societally desirable.


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