O papel dos grupos de interesse no "trade policy making" brasileiro: o caso das negociações Brasil-Argentina para o setor automotivo

Desde a redemocratização do país em 1985 o MRE já vinha se posicionando à favor do diálogo com os mais diversos grupos e entidades sociais. Neste sentido, observou-se ao longo dos últimos anos um aprofundamento da interação com parlamentares, governos estaduais e municipais, empresários, sindicalistas, ONGs e imprensa. A construção de vínculos entre as organizações da sociedade civil críticas das negociações comerciais ao longo da década de 1990 permite falar na criação de um novo campo de ação coletiva transnacional, definido como um espaço de ação política formado por indivíduos e organizações da sociedade civil que participam do processo de elaboração de um conjunto comum de práticas, objetivos e crenças. O que se pode concluir é que diante de um contexto mais competitivo e globalizado, após processo de abertura comercial e intensificação da participação brasileira nas negociações internacionais, a representação dos interesses da classe empresarial teve que se adaptar criando uma nova forma de organização. Desse modo, o presente trabalho visa analisar a crescente interferência de grupos de interesse no processo de tomada de decisão, no que tange aos assuntos de política externa comercial brasileira, tais como as negociações comerciais internacionais por se tratar de um ambiente cujos interesses da classe empresarial mais podem ser afetados. As negociações comerciais internacionais é o ambiente em que a atuação empresarial mais pode ser percebida. As negociações do Mercosul e da ALCA possibilitam observar a participação ativa destes novos atores. Sendo assim, o trabalho apresenta a nova dinâmica de relacionamento entre Estado e grupos da sociedade civil (classe empresarial) para temas ligados a comércio exterior.

Newport's mooring regulations: legal and policy analysis

The legal and policy issues facing Newport as it revises and implements its ordinances are numerous. Most of the issues have not been squarely resolved for Rhode Island. While Newport may take guidance from other states, it will be Rhode Island's task going forward to define the reach of its PTD as applied to some novel issues raised by mooring administration. The benefit of the flexibility of the PTD is allowing smaller units of government like Newport to define their regulatory goals based on a locally-tailored balancing test of competing interests facing scarce ocean resources. This report was designed to facilitate decision-maker discussion of how to strike that delicate balance.

A coarse fish close season on canals. Paper in evidence to the review of fisheries policy and legislation. Paper number: EA-12

This paper gives the results of the Environment Agency's research into the canal close season to the Salmon and Freshwater Fisheries Review Group. It presents the findings of the research, explains why the research was undertaken and how it relates to the Agency's duties. The background for this report includes that angling representative bodies have long argued that the existing situation in which somecanals have a close season and others do not, is unsatisfactory.

Sea level rise adaptation: emerging lessons for local policy development

Many coastal communities across the United States are beginning to plan for climate-related sea level rise. While impacts and solutions will vary with local conditions, jurisdictions which have begun this process seem to pass through three common stages when developing policy for local sea level rise adaptation: l) building awareness about local sea level rise threats, 2) undertaking analyses of local vulnerabilities, and 3) developing plans and policies to deal with these vulnerabilities. The purpose of this paper is to help advance community dialogue and further inform local decision-makers about key elements and steps for addressing climate-related sea level rise. It summarizes the results of a project the Marine Policy Institute (MPI) undertook during 2011-12 to review experiences from fourteen U.S. coastal jurisdictions representing a variety of city, county, and state efforts with sea level adaptation. There are many more initiatives underway than those reflected in this sample, but the “focus jurisdictions” were selected because of the extensive information publically available on their experiences and lessons being learned that could provide insights for coastal communities, especially in Southwest Florida.

Agriculture, irrigation and poverty reduction in Cambodia: Policy narratives and ground realities compared

This report is a contribution to an assessment of the current status of agriculture in Cambodia, focusing on the linkages between agriculture and water, mainly in the form of irrigation. It seeks to view current government policies on agriculture and irrigation in the context of experiences on the ground, as communicated through the many field studies that cover varied aspects of performance in the agriculture sector and irrigation schemes. In an effort to identify future research areas, this review examines the status quo, and connects or disconnects with stated policy through a broad lens to capture strengths and challenges across crop production, irrigation management and post-harvest contexts. It places irrigation under scrutiny in terms of its value as a major area of government expenditure in recent years, and asks whether it presents the best potential for future gains in productivity, when compared with the prospects offered by investments in other aspects of agriculture. The fieldwork and review of current literature that form the basis of this report were undertaken at the request of, and partly funded by, the Australian Centre for International Agricultural Research (ACIAR). It is also intended to contribute knowledge to the CGIAR Research Program on Aquatic Agricultural Systems (AAS) led by WorldFish, who co-funded the activities.

A framework for analysing business performance, firm innovation and related contextual factors: Perceptions of managers and policy makers in two European regions

The aim of this paper is to propose a novel reference framework that can be used to study how different kinds of innovation can result in better business performance and how external factors can influence both the firm's capacity to innovate and innovation itself. The value of the framework is demonstrated as it is applied in an exploratory study of the perceptions of public policy makers and managers from two European regions - the Veneto Region in Italy and the East of England in the UK. Amongst other things, the data gathered suggest that managers are generally less convinced than public policy makers, that the innovativeness of a firm is affected by factors over which policy makers have some control. This finding poses the question "what, if any, role can public policy makers play in enhancing a company's competitiveness by enabling it to become more innovative?".

Policies on poverty and the fisheries sector in Uganda: the current policy trends

There are concerns, at least among the proponents of development, on how to link policy development processes in Uganda and the associated transformation of the poor to high standards of living. In fact some questions have been posed as to whether it's the absence of poverty-targeted policies that a good proportion of individuals or communities are still poor. In the fisheries sector where most of the fish dependent communities live, poverty indications are still prevalent although arguments have been put that current reforms in the sector have transformed the lives of the fish dependent communities. The 1999/2000 household survey report indicates that the poverty levels reduced to 35% of Uganda's total population from 44% in 1997. The question that arose, which still arises anyway, was to define who is actually poor. When measuring poverty one is ultimately interested in the 'standards of living' of individuals especially those, whose standards of living are inadequate. The basic element of measuring this inadequacy/adequacy, at least in Uganda, is to use the household income or consumption per adult equivalent. Studies have demonstrated that household consumption expenditure is a good approximation of household income1. Therefore, for purpose of this report, we define poor households to mean based on that that one adopted by the Ministry of Finance to mean "households whose expenditure per adult equivalent falls below the poverty line 3 ". Many government documents report that the poverty line is one dollar a day. Therefore someone is below the poverty line if he or she lives on less than one dollar a day. In this paper, we analyse the evolution of poverty-driven policies that have been put in place by government and how these policies are shifting or are likely to shift the lives of fish dependent communities. We argue that combinations of poverty-policies are being translated into increased incomes and welfare of most individuals in the fisheries sector. The reasons for this shift, we argue, is as a result of a combination of factors all supported by non other that poverty-led government policies.

Strengthening effectiveness of policy directives of the LVFO Council of Ministers on Lake Victoria, Uganda

Research was done to assess the dissemination and implementation by the Fisheries Department, Local Govemments and beach management units and the awareness, acceptance and compliance among fishers to the CoM Directives on management of Lake Victoria fisheries. Conducted by the National Fisheries Resources Research Institute (NaFIRRI), the research focused on the implementation and effectiveness of measures following the LYFO Council of Ministers (CoM) Directives for improved management of the fisheries of Lake Victoria, with particular reference to the 2009 CoM Directives as a case study, it was established that many of the Directives have not been implemented. In cases where the directives were implemented, their effectiveness remains questionable. While steps were taken to disseminate and implement the Directives, there were some challenges, including the unclear legal status of the directives, limited dissemination materials and poor methods of dissemination, language barriers and inadequate resources for enforcement.

On-line policy optimisation of spoken dialogue systems via live interaction with human subjects

Statistical dialogue models have required a large number of dialogues to optimise the dialogue policy, relying on the use of a simulated user. This results in a mismatch between training and live conditions, and significant development costs for the simulator thereby mitigating many of the claimed benefits of such models. Recent work on Gaussian process reinforcement learning, has shown that learning can be substantially accelerated. This paper reports on an experiment to learn a policy for a real-world task directly from human interaction using rewards provided by users. It shows that a usable policy can be learnt in just a few hundred dialogues without needing a user simulator and, using a learning strategy that reduces the risk of taking bad actions. The paper also investigates adaptation behaviour when the system continues learning for several thousand dialogues and highlights the need for robustness to noisy rewards. © 2011 IEEE.

A policy dimension required for technology roadmapping: Learning from the emergence of Chinese wind turbine industry

Innovation policies play an important role throughout the development process of emerging industries in China. Existing policy and industry studies view the emergence process as a black-box, and fail to understand the impacts of policy to the process along which it varies. This paper aims to develop a multi-dimensional roadmapping tool to better analyse the dynamics between policy and industrial growth for new industries in China. Through reviewing the emergence process of Chinese wind turbine industry, this paper elaborates how policy and other factors influence the emergence of this industry along this path. Further, this paper generalises some Chinese specifics for the policy-industry dynamics. As a practical output, this study proposes a roadmapping framework that generalises some patterns of policy-industry interactions for the emergence process of new industries in China. This paper will be of interest to policy makers, strategists, investors and industrial experts. Copyright © 2013 Inderscience Enterprises Ltd.

Policy optimisation of POMDP-based dialogue systems without state space compression

The partially observable Markov decision process (POMDP) has been proposed as a dialogue model that enables automatic improvement of the dialogue policy and robustness to speech understanding errors. It requires, however, a large number of dialogues to train the dialogue policy. Gaussian processes (GP) have recently been applied to POMDP dialogue management optimisation showing an ability to substantially increase the speed of learning. Here, we investigate this further using the Bayesian Update of Dialogue State dialogue manager. We show that it is possible to apply Gaussian processes directly to the belief state, removing the need for a parametric policy representation. In addition, the resulting policy learns significantly faster while maintaining operational performance. © 2012 IEEE.

The pursuit of academic excellence and business engagement: Is it irreconcilable?

Universities currently need to satisfy the demands of different audiences. In light of the increasing policy emphasis on "third mission" activities, universities are attempting to incorporate these into their traditional missions of teaching and research. University strategies to accomplishing its traditional missions are well-honed and routinized, but the incorporation of the third mission is posing important strategic and managerial challenges for universities. This study explores the relationship between university-business collaborations and academic excellence in order to examine the extent to which academic institutions can balance these objectives. Based on data from the UK Research Assessment Exercise 2001 at the level of the university department, we find no systematic positive or negative relationship between scientific excellence and engagement with industry. Across the disciplinary fields reported in the 2001 Research Assessment Exercise (i. e. engineering, hard sciences, biomedicine, social sciences and the humanities) the relationship between academic excellence and engagement with business is largely contingent on the institutional context of the university department. This paper adds to the growing body of literature on university engagement with business by examining this activity for the social sciences and the humanities. Our findings have important implications for the strategic management of university departments and for higher education policy related to measuring the performance of higher education research institutions. © 2013 Akadémiai Kiadó, Budapest, Hungary.

Policy as a struggle for meaning: disentangling knowledge translation across international health contexts

Over the last decade, research in medical science has focused on knowledge translation and diffusion of best practices to enable improved health outcomes. However, there has been less attention given to the role of policy in influencing the translation of best practice across different national contexts. This paper argues that the underlying set of public discourses of healthcare policy significantly influences its development with implications for the dissemination of best practices. Our research uses Critical Discourse Analysis to examine the policy discourses surrounding the treatment of stroke across Canada and the U.K. It focuses in specific on how concepts of knowledge translation, user empowerment, and service innovation construct different accounts of the health service in the two countries. These findings provide an important yet overlooked starting point for understanding the role of policy development in knowledge transfer and the translation of science into health practice. © 2011 Operational Research Society. All rights reserved.

Code-specific policy gradient rules for spiking neurons

Although it is widely believed that reinforcement learning is a suitable tool for describing behavioral learning, the mechanisms by which it can be implemented in networks of spiking neurons are not fully understood. Here, we show that different learning rules emerge from a policy gradient approach depending on which features of the spike trains are assumed to influence the reward signals, i.e., depending on which neural code is in effect. We use the framework of Williams (1992) to derive learning rules for arbitrary neural codes. For illustration, we present policy-gradient rules for three different example codes - a spike count code, a spike timing code and the most general "full spike train" code - and test them on simple model problems. In addition to classical synaptic learning, we derive learning rules for intrinsic parameters that control the excitability of the neuron. The spike count learning rule has structural similarities with established Bienenstock-Cooper-Munro rules. If the distribution of the relevant spike train features belongs to the natural exponential family, the learning rules have a characteristic shape that raises interesting prediction problems.

On-line policy optimisation of Bayesian spoken dialogue systems via human interaction

A partially observable Markov decision process has been proposed as a dialogue model that enables robustness to speech recognition errors and automatic policy optimisation using reinforcement learning (RL). However, conventional RL algorithms require a very large number of dialogues, necessitating a user simulator. Recently, Gaussian processes have been shown to substantially speed up the optimisation, making it possible to learn directly from interaction with human users. However, early studies have been limited to very low dimensional spaces and the learning has exhibited convergence problems. Here we investigate learning from human interaction using the Bayesian Update of Dialogue State system. This dynamic Bayesian network based system has an optimisation space covering more than one hundred features, allowing a wide range of behaviours to be learned. Using an improved policy model and a more robust reward function, we show that stable learning can be achieved that significantly outperforms a simulator trained policy. © 2013 IEEE.