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MULTIPLE REGRESSION ANALYSIS (2) answer(s).
 
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ID:   126543


Electricity prices and generator behaviour in gross pool electr / O'Mahoney, Amy; Denny, Eleanor   Journal Article
Denny, Eleanor Journal Article
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Publication 2013.
Summary/Abstract Electricity market liberalisation has become common practice internationally. The justification for this process has been to enhance competition in a market traditionally characterised by statutory monopolies in an attempt to reduce costs to end-users. This paper endeavours to see whether a pool market achieves this goal of increasing competition and reducing electricity prices. Here the electricity market is set up as a sealed bid second price auction. Theory predicts that such markets should result with firms bidding their marginal cost, thereby resulting in an efficient outcome and lower costs to consumers. The Irish electricity system with a gross pool market experiences among the highest electricity prices in Europe. Thus, we analyse the Irish pool system econometrically in order to test if the high electricity prices seen there are due to participants bidding outside of market rules or out of line with theory. Overall we do not find any evidence that the interaction between generator and the pool in the Irish electricity market is not efficient. Thus, the pool element of the market structure does not explain the high electricity prices experienced in Ireland.
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2
ID:   177116


Electricity-water usage for sustainable development: an analysis of United Arab Emirates farms / Banhidarah, Abdullah Khamis; SaadAl-Sumaiti, Ameena   Journal Article
Banhidarah, Abdullah Khamis Journal Article
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Summary/Abstract Electricity and water consumption play a crucial role in the sustainable development of desert regions. In countries with arid climates like the United Arab Emirates (UAE), water-energy efficiency and conservation in agriculture are critical issues. This paper investigates the characteristics of and interlinkages between electricity and water consumption on UAE farms to suggest policies for water-energy efficiency and conservation. Descriptive statistics and multivariate regression analysis were performed on data collected from surveys of farm owners and rural water tanker services. Unlike urban areas, these rural statistics show that water use is more important than electricity use, and that the cost and reliability of water are more important than the cost and reliability of electricity. Multivariate regression analysis identified interlinkages among five common factors that influence both electricity and water consumption: farmer age, worker salary, visiting times of owner's family, number of buildings, and number of rooms. Importantly, worker salary is the key influence on both water and electricity consumption. These results suggest that sustainable rural policies should consider the key factors of “workers' salary” and “water cost” for increasing both water-energy efficiency and conservation.
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