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ID: 156693

PAGCOR and the entertainment city: complex networks and gaming development in the Philippines / Reyes, Vincente Chua

Reyes, Vincente Chua	Journal Article
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Summary/Abstract

This article analyzes the unique trajectory of the Philippine gaming industry, with a particular focus on the Philippine Amusement and Gaming Corporation (PAGCOR) and the Philippine Charity Sweepstakes Office (PCSO). It aims to provide empirical insight on how state and non-state actors take part in the growing gaming industry in the Philippines in a neoliberal context. This article first addresses the dominant patron-client paradigms, and finds them insufficient to provide an explanation to both the gaming development in the country and the regulatory mechanisms behind this industry. By providing a description of how PAGCOR and the PCSO circumvent dysfunctional bureaucracy and assuage criticism against systemic corruption, this article suggests that a closer look at the complex networks between stakeholders in both the public and private sectors will provide an alternative way of understanding Philippine politics. The strategic decision by the weak Philippine state to invest heavily in the gaming industry presents a clear example of how these complex networks operate. The gaming regulatory policy pragmatically employs current Philippine laws to ensure maximum profit for the state. This article concludes that a critical examination of the gaming industry is necessary, spanning both the legal and illegal types and the social relations of confidence and suspicion between public and private stakeholders.

Key Words

Governance ; Corruption ; The Philippines ; PAGCOR ; PCSO ; Casinos, ;
Gaming Industry ; Complex Networks

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ID: 168689

Pattern identification for wind power forecasting via complex network and recurrence plot time series analysis / Charakopoulos, Avraam

Charakopoulos, Avraam	Journal Article
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Renewable energy sources, where wind energy is an important part, are increasingly participating in developing economies and environmental benefits. Wind power is strongly dependent on wind velocity and thus identifying patterns in wind speed data is an important issue for forecasting the generated power from a wind turbine and it has significant importance for the renewable energy market operations. In this work we approach the problem of identification of the underlying dynamic characteristics and patterns of wind behavior using two approaches of non-linear time series analysis tools: Recurrence Plots (RPs) and Complex Network analysis. The proposed methodology is applied on wind time series collected by cup anemometers located on a wind turbine installed in Greece. We show that the proposed approach provides useful information which can characterize distinct two time intervals of the data, one ranging from 2 to 4.5 days and another from 5 to 8.5 days. Also analysis can identify and detect dynamical transitions in the system's behavior and also reveals information about the changes in state inside the whole time series. The results will be useful in wind markets, for the prediction of the produced wind energy and also will be helpful for wind farm site selection.

Key Words

Wind Energy Market ; Complex Networks ; Recurrence Plots ; Wind Forecasting

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