Endogenous spillovers in the trade-off between centralization and decentralization

In this paper, we revisit the classical trade-off between centralized and decentralized provision of local public goods, in a setting where interregional spillovers depend on the level of a national public good. We compare the standard benevolent planner approach with a political economy in which decisions, in a centralized system, are undertaken by a non-cooperative legislature with no separation of powers. We observe that the policy-maker in a centralized system is able to play both with local public goods and spillovers, a mechanism that is not available under a decentralized system. When compared to the traditional exogenous spillovers assumption, this improves the case for centralization under the standard benevolent planner approach. However, the same is not necessarily true in the non-cooperative legislature, as in this case the interests of the legislator do not need to be aligned with those of the society. Finally, we extend the traditional political economy analysis by considering a legislature in which decisions are undertaken by different committees (separation of powers), and show that it performs better than the original non-cooperative legislature, greatly improving the case for centralization.

Inefficient commuting in a city with spillovers

A Masters Thesis, presented as part of the requirements for the award of a Research Masters Degree in Economics from NOVA – School of Business and Economics

New Opportunities for Development Journalism: Enlarging the Public Sphere with ICTs

The present study examines new opportunities offered by the introduction of information and communication technologies (ICTs) to enhance the development journalism practice, in order to enlarge the public sphere and empower ordinary people to participate more actively in public debate on issues affecting their development. The analysis of the achievements and challenges faced by 32 radio stations under the UNESCO project “Empowering Local Radios with ICTs” offers an overview of the introduction of ICTs in different contexts, within and among seven countries in Sub- Saharan Africa. Even though the lack of ICTs access and knowledge is still a concern in the developing world, especially in rural areas, these new tools can be adapted to each context and foster a more pluralistic and participative media in order to address people’s needs and promote social change.

Public private collaboration: Potentials for spatial data infrastructure development in developing countries - A caste study of Nigeria

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Territorial Strategic Planning as a support instrument for Regional and Local Development : a comparative analysis between Lisbon and Barcelona metropolitan areas - a first approach

Trabalho de Projecto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Metropolização, Planeamento Estratégico e Sustentabilidade.

Local Development Initiatives: the case of São Paulo and ABCD Municipalities

MARQUES, B.P. (2008) “Local Development Initiatives: the case of São Paulo and ABCD Municipalities”, in Actas do 14.º Congresso da APDR, Tomar, pp. 253-279, ISBN 978-972-98803-9-1.

Local Development Initiatives in Metropolitan Areas' Suburban Municipalities: a comparative case-study between Amadora (Lisbon-PT) and Diadema (São Paulo-BR)

MARQUES, B.P. e CARVALHO, R. (2010) "Local Development Initiatives in Metropolitan Areas' Suburban Municipalities: a comparative case-study between Amadora (Lisbon-PT) and Diadema (São Paulo-BR)", in Actas do 16.º Congresso da APDR, Funchal, pp. 1053-1083, ISBN 978-989-96353-1-9.

Territorial Strategic Planning as a support instrument for Regional and Local Development: a comparative analysis between Lisbon and Barcelona Metropolitan Areas

MARQUES, B.P. (2011) "Territorial Strategic Planning as a support instrument for Regional and Local Development: a comparative analysis between Lisbon and Barcelona Metropolitan Areas", in Atas do 17.º Congresso da APDR, do 5.º Congresso de Gestão e Conservação da Natureza e do Congresso Internacional da APDR/AECR, Bragança e Zamora, pp. 1265-1272, ISBN 978-989-96353-2-6.

From Strategic Planning to Development Initiatives: a first reflection on the situation of Lisbon and Barcelona

MARQUES, B.P. (2014) From Strategic Planning to Development Initiatives: a first reflection on the situation of Lisbon and Barcelona, in 20th APDR Congress Proceddings, APDR and UÉvora, Évora, pp. 850-857, ISBN 978-989-8780-01-0.

A public transport bus assignment problem: parallel metaheuristics assessment

Combinatorial Optimization Problems occur in a wide variety of contexts and generally are NP-hard problems. At a corporate level solving this problems is of great importance since they contribute to the optimization of operational costs. In this thesis we propose to solve the Public Transport Bus Assignment problem considering an heterogeneous fleet and line exchanges, a variant of the Multi-Depot Vehicle Scheduling Problem in which additional constraints are enforced to model a real life scenario. The number of constraints involved and the large number of variables makes impracticable solving to optimality using complete search techniques. Therefore, we explore metaheuristics, that sacrifice optimality to produce solutions in feasible time. More concretely, we focus on the development of algorithms based on a sophisticated metaheuristic, Ant-Colony Optimization (ACO), which is based on a stochastic learning mechanism. For complex problems with a considerable number of constraints, sophisticated metaheuristics may fail to produce quality solutions in a reasonable amount of time. Thus, we developed parallel shared-memory (SM) synchronous ACO algorithms, however, synchronism originates the straggler problem. Therefore, we proposed three SM asynchronous algorithms that break the original algorithm semantics and differ on the degree of concurrency allowed while manipulating the learned information. Our results show that our sequential ACO algorithms produced better solutions than a Restarts metaheuristic, the ACO algorithms were able to learn and better solutions were achieved by increasing the amount of cooperation (number of search agents). Regarding parallel algorithms, our asynchronous ACO algorithms outperformed synchronous ones in terms of speedup and solution quality, achieving speedups of 17.6x. The cooperation scheme imposed by asynchronism also achieved a better learning rate than the original one.