Youth unemployment outflow rates and labor market programs: Australian evidence

A matching function methodology is used to investigate the macroeconomic effects of labor market program (LMP) commencements on youth unemployment outflows in Australia using unpublished data that classify commencements and outflows by duration of unemployment. The results indicate that LMPs have had significant effects on outflows from short-term unemployment. There is a net positive effect from LMP commencements on short-term unemployed female outflow rates. However; females experienced negative spillover effects from male LMP commencements. These spillover effects appear to be associated with wage subsidy programs and suggest the net impact Of such programs may have been overstated in previous studies.

The over-production of US sports and the new International Division of Cultural Labor

This article focuses on how US professional sports utilize the New International Division of Cultural Labor to supplement an overly costly local labor pool and over-supplied local market. We argue that while the classic problem of over-production is slowly eroding the sealed-off nature of US culture, the forces of its hyper-protectionist capitalism continue to characterize sports, precluding equal exchange.

A resistência ao currículo de história para o ensino médio prescrito pela Secretaria de Estado da Educação do Estado do Espírito Santo

Esta pesquisa analisou a resistência ao currículo de História para o ensino médio prescrito pela Secretaria de Estado da Educação do Estado do Espírito Santo (Sedu) em 2009, para ser desenvolvido em sua rede de ensino pelos professores dessa etapa da educação básica. Seu objetivo foi investigar as causas de resistências assentadas ao documento e identificar a que os professores resistem, por que os professores resistem e como os professores estão materializando sua resistência a ele. Por resistência entende-se o conjunto de práticas exercidas pelos professores que se anunciam sob a forma de oposição, na tentativa de barrar a dominação, de não perder sua identidade. Uma resistência consciente que, apesar de rejeitar, não nega o currículo. Porém, a ele não se submete passivamente, numa posição de quem reivindica sua reelaboração, sua reinvenção. Para fundamentação teórica, ocorreram pesquisas e estudos de produções e conceitos sobre currículo, resistência, ensino médio e suas relações com a educação. O trabalho encontra-se na área de educação, na linha de pesquisa Cultura, Currículo e Formação de Educadores. A pesquisa é de cunho qualitativo e amparou-se na abordagem narrativa. Como procedimentos metodológicos, apoiou-se na análise documental e bibliográfica, questionário pré-estruturado, observações e conversas com quatro professoras de História de ensino médio no município de Afonso Cláudio, Estado do Espírito Santo. Com o cotejamento dos dados produzidos, o pressuposto apresentado neste trabalho foi confirmado. Como dimensões geradoras de resistências, ficaram evidenciadas a prescrição, considerando que as professoras ajuízam ser essa uma atribuição delas, junto com a escola; a organização dos conteúdos apresentada pela Sedu; a ausência de linearidade dos acontecimentos históricos; a disposição dos saberes por eixos temáticos; a orientação pelo trabalho interdisciplinar; a desvinculação dos conteúdos de cada série/ano do livro didático; a exigência burocrática com a implantação do currículo. A contribuição do trabalho para a Rede Estadual de Ensino foi a problematização da resistência ao currículo, artefato educacional que pode produzir estabilidades ou tensões entre os sujeitos que o envolvem, podendo ser útil para discussões posteriores. Para as educadoras, o trabalho foi relevante por ter promovido espaço de debates sobre o currículo de História do ensino médio no decurso das conversas na escola.

Motivação dos trabalhadores na sociedade do conhecimento

RESUMO: Nas sociedades avançadas da actualidade, aqui denominadas por sociedades do conhecimento, os níveis de responsabilidade e de exigência mental das organizações para com os seus trabalhadores é superior a qualquer outra realidade anterior. É emergente a necessidade de redefinir a estrutura das organizações, para que os reponsáveis e os seus respectivos colaboradores usufruam de condições potenciadoras do seu desempenho profissional. Os perfis ideais dos responsáveis de equipas e , em especial, dos «novos» trabalhadores produtores de conhecimento, incorporam determinadas características fundamentais para favorecerem o processo criativo e o trabalho autónomo. Mas as alterações não estão confinadas à dimensão laboral, pois surgiram igualmente mudanças profundas no seio da sociedade, as quais obrigam à existência de uma nova relação entre a vida pessoal e a vida profissional dos cidadãos. Todas estas transformações resultam na necessidade de uma componente motivacional muito forte por parte dos trabalhadores, os quais dependem apenas de si mesmos para a conseguir obter e manter. A solução desta problemática surge aqui configurada sob a forma de uma mudança de atitude por parte de todos os trabalhadores, a qual deverá fomentar a ocorrência de «Experiências óptimas» provenientes do desenvolvimento da actividade profissional dos mesmos, tal como é sugerido pela Teoria do Fluxo. Esta versão profunda da motivação intrínseca e estável é proposta como modelar e mesmo fulcral para o trabalhador na Sociedade do conhecimento. ABSTRACT: In today’s advanced societies, here referred as Knowledge Societies, the levels of responsibility and mental demanding which organizations require from their workers is higher than ever before. The need to redefine organizations structures is now emerging in order to allow CEO’s and their co-workers having access to encouraging conditions which improve their work performance. The ideal profile for a team leader and especially for the «new» Knowledge production workers, incorporate a defined group of fundamental characteristics to encourage the creative process and the autonomous work. But changes are not confined to the labor dimension. The Society core also suffered profound changes which demand the existence of a new relation between personal and professional life of its citizens. All these changes create the need for the existence of high motivational levels inside all workers, which now have to find their own ways to get and maintain it. The solution for this problem is presented here as a switch in workers attitude, which will increase the occurrence of optimal experiences coming directly from the development of their professional activity like it’s suggested in the flow theory. This version of the deep intrinsic and stable motivation is proposed as a model or even a central solution to the worker in the Knowledge Society.

Virtual power players demand response programs management based on locational marginal prices

Power systems have been suffering huge changes mainly due to the substantial increase of distributed generation and to the operation in competitive environments. Virtual power players can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. Resource management gains an increasing relevance in this competitive context, while demand side active role provides managers with increased demand elasticity. This makes demand response use more interesting and flexible, giving rise to a wide range of new opportunities.This paper proposes a methodology for managing demand response programs in the scope of virtual power players. The proposed method is based on the calculation of locational marginal prices (LMP). The evaluation of the impact of using demand response specific programs on the LMP value supports the manager decision concerning demand response use. The proposed method has been computationally implemented and its application is illustrated in this paper using a 32 bus network with intensive use of distributed generation.

Data mining techniques contributions to support electrical vehicle demand response

The introduction of Electric Vehicles (EVs) together with the implementation of smart grids will raise new challenges to power system operators. This paper proposes a demand response program for electric vehicle users which provides the network operator with another useful resource that consists in reducing vehicles charging necessities. This demand response program enables vehicle users to get some profit by agreeing to reduce their travel necessities and minimum battery level requirements on a given period. To support network operator actions, the amount of demand response usage can be estimated using data mining techniques applied to a database containing a large set of operation scenarios. The paper includes a case study based on simulated operation scenarios that consider different operation conditions, e.g. available renewable generation, and considering a diversity of distributed resources and electric vehicles with vehicle-to-grid capacity and demand response capacity in a 33 bus distribution network.

Study of distribution network demand response events in the Portuguese system

In competitive electricity markets with deep concerns for the efficiency level, demand response programs gain considerable significance. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. Grid operators and utilities are taking new initiatives, recognizing the value of demand response for grid reliability and for the enhancement of organized spot markets’ efficiency. This paper proposes a methodology for the selection of the consumers that participate in an event, which is the responsibility of the Portuguese transmission network operator. The proposed method is intended to be applied in the interruptibility service implemented in Portugal, in convergence with Spain, in the context of the Iberian electricity market. This method is based on the calculation of locational marginal prices (LMP) which are used to support the decision concerning the consumers to be schedule for participation. The proposed method has been computationally implemented and its application is illustrated in this paper using a 937 bus distribution network with more than 20,000 consumers.

A simulation tool for demand response programs implementation

The design and development of simulation models and tools for Demand Response (DR) programs are becoming more and more important for adequately taking the maximum advantages of DR programs use. Moreover, a more active consumers’ participation in DR programs can help improving the system reliability and decrease or defer the required investments. DemSi, a DR simulator, designed and implemented by the authors of this paper, allows studying DR actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. DemSi considers the players involved in DR actions, and the results can be analyzed from each specific player point of view.

Using demand response to deal with unexpected low wind power generation in the context of smart grid

Demand response is assumed an essential resource to fully achieve the smart grids operating benefits, namely in the context of competitive markets. Some advantages of Demand Response (DR) programs and of smart grids can only be achieved through the implementation of Real Time Pricing (RTP). The integration of the expected increasing amounts of distributed energy resources, as well as new players, requires new approaches for the changing operation of power systems. The methodology proposed aims the minimization of the operation costs in a smart grid operated by a virtual power player. It is especially useful when actual and day ahead wind forecast differ significantly. When facing lower wind power generation than expected, RTP is used in order to minimize the impacts of such wind availability change. The proposed model application is here illustrated using the scenario of a special wind availability reduction day in the Portuguese power system (8th February 2012).

Energy and reserve provision dispatch considering distributed generation and demand response

In competitive electricity markets with deep concerns at the efficiency level, demand response programs gain considerable significance. In the same way, distributed generation has gained increasing importance in the operation and planning of power systems. Grid operators and utilities are taking new initiatives, recognizing the value of demand response and of distributed generation for grid reliability and for the enhancement of organized spot market´s efficiency. Grid operators and utilities become able to act in both energy and reserve components of electricity markets. This paper proposes a methodology for a joint dispatch of demand response and distributed generation to provide energy and reserve by a virtual power player that operates a distribution network. The proposed method has been computationally implemented and its application is illustrated in this paper using a 32 bus distribution network with 32 medium voltage consumers.

Particle swarm optimization applied to integrated demand response resources scheduling

The concept of demand response has a growing importance in the context of the future power systems. Demand response can be seen as a resource like distributed generation, storage, electric vehicles, etc. All these resources require the existence of an infrastructure able to give players the means to operate and use them in an efficient way. This infrastructure implements in practice the smart grid concept, and should accommodate a large number of diverse types of players in the context of a competitive business environment. In this paper, demand response is optimally scheduled jointly with other resources such as distributed generation units and the energy provided by the electricity market, minimizing the operation costs from the point of view of a virtual power player, who manages these resources and supplies the aggregated consumers. The optimal schedule is obtained using two approaches based on particle swarm optimization (with and without mutation) which are compared with a deterministic approach that is used as a reference methodology. A case study with two scenarios implemented in DemSi, a demand Response simulator developed by the authors, evidences the advantages of the use of the proposed particle swarm approaches.

LMP triggered real time demand response events

Recent changes in power systems mainly due to the substantial increase of distributed generation and to the operation in competitive environments has created new challenges to operation and planning. In this context, Virtual Power Players (VPP) can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. Demand response market implementation has been done in recent years. Several implementation models have been considered. An important characteristic of a demand response program is the trigger criterion. A program for which the event trigger depends on the Locational Marginal Price (LMP) used by the New England Independent System operator (ISO-NE) inspired the present paper. This paper proposes a methodology to support VPP demand response programs management. The proposed method has been computationally implemented and its application is illustrated using a 32 bus network with intensive use of distributed generation. Results concerning the evaluation of the impact of using demand response events are also presented.

Demand response programs definition supported by clustering and classification techniques

The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.