Multi-level governance and social cohesion in the European Union: the assessment of local agents, a study case inside Galicia

Implementing multi-level governance has been a key priority in EU cohesion policy. This study assesses the perceived achievements and shortcomings in implementing European Social Fund by analyzing the deficits and weaknesses as well as the poor participation of local agents who are in direct contact with the beneficiaries in order to design and implement this fund, which is the main financial instrument of EU social policy.

China's proposing behavior in Global Governance: the cases of the WTO Doha Round negotiation and G-20 process

This article examines China's proposals on the reform of global governance, and discusses the main features of China's proposing behavior in the cases of the WTO Doha Round negotiation and G-20 Process. The main findings are: (1) in the critical junctures of global governance reform, China engaged the reform of the global governance institutions proactively, and put forward a series of reform proposals; (2) in proposing behavior, China argued the global governance institutions should be properly adjusted without intention to change the basic principles, refrained from playing a leadership role while proposing jointly with other countries, and upheld the principled idea of pro-development.

Chinese engagement for Global Governance: aiming for a better room at the table?

The text defends the thesis that China is aware that its process of modernization is still recent and needs more growth, maturation and consolidation to assume the role and responsibilities of a regional or even a global leader. This text pursues an understanding about the Chinese stance in relation to the negotiations for the redefinitions of the International Order and the International System (and, hence, Global Governance) and, secondly, seeks to perceive the reactions of non-developed and developed countries in relation to Chinese strategies.

The 1623 Plan for Global Governance: the obscure history of its reception

Abstract In the present article we analyze the characteristics and the reception of the first plan for global governance, the New Cyneas by Émeric Crucé. With this goal in mind, we examine the history of its readings and the possible influence on the Duke of Sully's project for European confederation, the case most often cited by historians of ideas. Our analysis takes into consideration the 17th century reception, the scant dissemination of the work and the possible causes of its limited impact. Our conclusions support, on the one hand, the novelty of Crucé's principal ideas, and on the other, their limited impact over the time with the exception of the period surrounding the creation of the League of Nations.

Fundos de pensão, mercados de capitais e Corporate Governance: lições para os mercados ermegentes

Nos seus vinte anos de existência, o sistema brasileiro de previdência complementar acumulou ativos de mais de 70 bilhões de reais. Existe um crescente debate sobre o papel que os fundos de pensão podem desempenhar na economia brasileira. Alimenta-se uma esperança de que eles possam contribuir em três áreas fundamentais: (a) financiamento do desenvolvimento, (b) expansão dos mercados de capitais e (c) democratização do capital (desconcentração da estrutura de propriedade corporativa). Este trabalho procura extrair da experiência dos países industrializados algumas perspectivas que possam contribuir para o debate em torno do crescimento e atuação de fundos de pensão nos mercados emergentes.

Observations on the Brazilian presidency, democracy, and governance

This article presents the first results of research on the organization and administration of the Brazilian presidency and problems of democratic governance in Brazil. Biases of Euro-centrism in current views of presidentialism, democracy, governance, and representation are criticized and new comparative analysis of political experiences in the Americas called for. Initial analysis of the Brazilian presidency reveals a unique combination of executive-led electoral representation and muddling through governance since the transition from military rule.

Understanding local governance: an international perspective

Enormous change and innovation in governmental practices are occurring throughout the world. Local governance, in particular, has become a concern in many countries. Processes such as redemocratization and decentralization and imperatives of international lending agencies have focused attention on developing good governance practices. Improvement in local government remains a high priority in most countries, but unless the relationship between citizens and government is more fully developed the actions of local government will not necessarily lead to improvement in the conditions of people's lives. This paper will explore the concept of governance and propose an analytical framework for the study of local governance in an international context. The article concludes with recommendations on strategies to improve governance systems and government performance.

Institutional Development for Good Governance: the role of intermediary NGOs in Pará state, Amazonia

The paper analyses the roles of intermediary NGOs for linkages between government and rural communities in carrying out socio-environmental development programs as a mean of institutional development for good governance. In particular, the paper focuses on the Proambiente program that was carried out in Pará State, Amazonia, Brazil. This program was the first experience of a socio-environmental development program in Brazilian Amazonia that took into account local communities' demands to link environmental conservation and small-scale family-based rural production. Methodologically, the research was based on qualitative analysis and used semi-structured interviews for data collection. The paper shows that NGOs as intermediaries between government and rural communities is a significant mechanism to promote the strengthening of the power of local communities, to create bridges between federal government and local communities; and to stimulate participatory processes by engaging rural communities' culture and knowledge in socio-environmental development program as Proambiente.

Adaptive deblocking filter for transform domain Wyner-Ziv video coding

Wyner-Ziv (WZ) video coding is a particular case of distributed video coding, the recent video coding paradigm based on the Slepian-Wolf and Wyner-Ziv theorems that exploits the source correlation at the decoder and not at the encoder as in predictive video coding. Although many improvements have been done over the last years, the performance of the state-of-the-art WZ video codecs still did not reach the performance of state-of-the-art predictive video codecs, especially for high and complex motion video content. This is also true in terms of subjective image quality mainly because of a considerable amount of blocking artefacts present in the decoded WZ video frames. This paper proposes an adaptive deblocking filter to improve both the subjective and objective qualities of the WZ frames in a transform domain WZ video codec. The proposed filter is an adaptation of the advanced deblocking filter defined in the H.264/AVC (advanced video coding) standard to a WZ video codec. The results obtained confirm the subjective quality improvement and objective quality gains that can go up to 0.63 dB in the overall for sequences with high motion content when large group of pictures are used.

Organization knowledge management change from a complex adaptive systems perpective with ability for ambidexeterity

We are working on the confluence of knowledge management, organizational memory and emergent knowledge with the lens of complex adaptive systems. In order to be fundamentally sustainable organizations search for an adaptive need for managing ambidexterity of day-to-day work and innovation. An organization is an entity of a systemic nature, composed of groups of people who interact to achieve common objectives, making it necessary to capture, store and share interactions knowledge with the organization, this knowledge can be generated in intra-organizational or inter-organizational level. The organizations have organizational memory of knowledge of supported on the Information technology and systems. Each organization, especially in times of uncertainty and radical changes, to meet the demands of the environment, needs timely and sized knowledge on the basis of tacit and explicit. This sizing is a learning process resulting from the interaction that emerges from the relationship between the tacit and explicit knowledge and which we are framing within an approach of Complex Adaptive Systems. The use of complex adaptive systems for building the emerging interdependent relationship, will produce emergent knowledge that will improve the organization unique developing.

Application of adaptive neuro-fuzzy inference for wind power short-term forecasting

The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Hence, good forecasting tools play a key role in tackling these challenges. In this paper, an adaptive neuro-fuzzy inference approach is proposed for short-term wind power forecasting. Results from a real-world case study are presented. A thorough comparison is carried out, taking into account the results obtained with other approaches. Numerical results are presented and conclusions are duly drawn. (C) 2011 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

Adaptive tool for automatic data collection of real electricity markets

The study of electricity markets operation has been gaining an increasing importance in last years, as result of the new challenges that the electricity markets restructuring produced. This restructuring increased the competitiveness of the market, but with it its complexity. The growing complexity and unpredictability of the market’s evolution consequently increases the decision making difficulty. Therefore, the intervenient entities are forced to rethink their behaviour and market strategies. Currently, lots of information concerning electricity markets is available. These data, concerning innumerous regards of electricity markets operation, is accessible free of charge, and it is essential for understanding and suitably modelling electricity markets. This paper proposes a tool which is able to handle, store and dynamically update data. The development of the proposed tool is expected to be of great importance to improve the comprehension of electricity markets and the interactions among the involved entities.

Adaptive learning in multiagent systems: a forecasting methodology based on error analysis

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simu-lator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM pro-vides several dynamic strategies for agents’ behaviour. This paper presents a method that aims to provide market players strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses an auxiliary forecasting tool, e.g. an Artificial Neural Net-work, to predict the electricity market prices, and analyses its forecasting error patterns. Through the recognition of such patterns occurrence, the method predicts the expected error for the next forecast, and uses it to adapt the actual forecast. The goal is to approximate the forecast to the real value, reducing the forecasting error.