Multidimensional Analysis of New Zealand Electricity Prices

2015 ◽  
pp. 155-177
Author(s):  
Matylda Jabłońska-Sabuka ◽  
Agnieszka Wylomanska
Keyword(s):  
New Zealand ◽  
Multidimensional Analysis ◽  
Electricity Prices

scholarly journals Costing the cold: Connecting fuel poverty & supplier switching in Wellington, New Zealand

2021 ◽  
Author(s):  
◽  
Sam McLean
Keyword(s):  
New Zealand ◽  
Electricity Market ◽  
Low Cost ◽  
Colonial History ◽  
Electricity Prices ◽  
Energy Services ◽  
Poor Households ◽  
Competitive Prices ◽  
Supplier Switching ◽  
Equitable Outcomes

<p>Fuel poverty describes the inability of households to afford adequate energy services, such as space heating. In New Zealand, where 25% of households are estimated to be ‘fuel poor’, high electricity prices in a restructured electricity market have an important influence on fuel poverty. However, the ability of the New Zealand Government to regulate these high electricity prices is constrained. Consequently, there is a strong reliance on consumers to switch energy suppliers, which promotes competitive prices and in turn regulates the price of electricity. In contrast to energy efficiency improvements, switching offers fuel poor households a low-cost opportunity to improve the short-term affordability of energy services. Yet, switching is suggested to not benefit fuel poor households who are in most need of affordable energy.  This thesis explored the relationship between fuel poverty and supplier switching in Wellington, New Zealand through a geographic lens. First, a new approach to identifying fuel poverty in New Zealand was applied. Using geographic information systems (GIS), a fuel poverty index was calculated to identify fuel poverty in Wellington at meshblock level. Spatial analysis of the index revealed the complexity of identifying fuel poverty and the extent to which the spatial distribution of fuel poverty in Wellington is shaped by the city’s colonial history. The index was then used to identify survey participants through which a survey was conducted exploring Wellington households’ switching behaviours. In a competitive market, consumers are expected to switch according to economically rational behaviours. However, switching behaviours in the survey sample were influenced by factors other than these economically rational behaviours. Integrating the findings of this thesis supports suggestions that switching is not benefiting the fuel poor. Finally, this thesis sheds light on the extent to which an understanding of the geography of fuel poverty can be applied towards improving the effectiveness of policy and equitable outcomes for fuel poor households.</p>

scholarly journals Costing the cold: Connecting fuel poverty & supplier switching in Wellington, New Zealand

2021 ◽  
Author(s):  
◽  
Sam McLean
Keyword(s):  
New Zealand ◽  
Electricity Market ◽  
Low Cost ◽  
Colonial History ◽  
Electricity Prices ◽  
Energy Services ◽  
Poor Households ◽  
Competitive Prices ◽  
Supplier Switching ◽  
Equitable Outcomes

<p>Fuel poverty describes the inability of households to afford adequate energy services, such as space heating. In New Zealand, where 25% of households are estimated to be ‘fuel poor’, high electricity prices in a restructured electricity market have an important influence on fuel poverty. However, the ability of the New Zealand Government to regulate these high electricity prices is constrained. Consequently, there is a strong reliance on consumers to switch energy suppliers, which promotes competitive prices and in turn regulates the price of electricity. In contrast to energy efficiency improvements, switching offers fuel poor households a low-cost opportunity to improve the short-term affordability of energy services. Yet, switching is suggested to not benefit fuel poor households who are in most need of affordable energy.  This thesis explored the relationship between fuel poverty and supplier switching in Wellington, New Zealand through a geographic lens. First, a new approach to identifying fuel poverty in New Zealand was applied. Using geographic information systems (GIS), a fuel poverty index was calculated to identify fuel poverty in Wellington at meshblock level. Spatial analysis of the index revealed the complexity of identifying fuel poverty and the extent to which the spatial distribution of fuel poverty in Wellington is shaped by the city’s colonial history. The index was then used to identify survey participants through which a survey was conducted exploring Wellington households’ switching behaviours. In a competitive market, consumers are expected to switch according to economically rational behaviours. However, switching behaviours in the survey sample were influenced by factors other than these economically rational behaviours. Integrating the findings of this thesis supports suggestions that switching is not benefiting the fuel poor. Finally, this thesis sheds light on the extent to which an understanding of the geography of fuel poverty can be applied towards improving the effectiveness of policy and equitable outcomes for fuel poor households.</p>

scholarly journals Statistical Analysis of New Zealand Electricity Prices: A Risk Manager's Perspective

2021 ◽  
Author(s):  
◽  
Caroline Moy
Keyword(s):  
Time Series ◽  
New Zealand ◽  
Price Volatility ◽  
Distribution Functions ◽  
Electricity Price ◽  
Cumulative Distribution ◽  
Electricity Prices ◽  
Sarima Model ◽  
Price Data ◽  
Risk Manager

<p>This thesis considers the conventional SARIMA model and the EVT-GARCH model for forecasting electricity prices. However, we find that these models do not adequately capture the important characteristics of the electricity price data. A new model is developed, the EVT-SARIMA model, for forecasting electricity prices which is found to be the best at modelling the nature of the electricity prices. A time series of half-hourly electricity price data from the Hayward node in New Zealand is transformed into a daily average price series and using this resulting series, appropriate models are fitted for estimating and forecasting.  The new EVT-SARIMA model is used to simulate 1000 time series of daily electricity prices, over a 90 day period, to consider strategies for managing the risk associated with price volatility. The effects of different financial instruments on the cumulative distribution functions of predicted revenue obtained using our model are considered. Results suggest that different contracts have different effects on the predicted revenue. However, all contracts have the effect of reducing variability in the predicted revenue values and thus, should be used by a risk manager to reduce the range of probable revenue values. The quantity traded and which contracts to use is dependent on the objectives of the risk manager.</p>

MOLECULAR AND QUALITY MEAT CHARACTERISTICS OF NEW FISH SPECIES INTRODUCED TO THE EU MARKET

2019 ◽  
Vol 22 (2) ◽  
Author(s):  
Remigiusz Panicz ◽  
◽  
Piotr Eljasik ◽  
Małgorzata Sobczak ◽  
Joanna Sadowska ◽  
...  
Keyword(s):  
New Zealand ◽  
Fish Species ◽  
Evaluation Study ◽  
Multidimensional Analysis ◽  
Fish Processing ◽  
Nutritional Values ◽  
White Bass ◽  
Fish Samples ◽  
Sea Perch ◽  
New Fish Species

Global consumption steadily increases due to development of aquaculture but also more efficient fisheries sector. Therefore, fish processing plants and ultimately consumers face products from new fish species which significantly differ in case of their nutritional values, technological or culinary properties. The aim of the study was to randomly collect specimens of bigeye sea perch, Helicolenus barathri; New Zealand sole, Peltorhamphus novaezeelandiae; white bass, Morone chrysops; thicklip grey mullet, Chelon labrosus and ridge scaled rattail, Macrourus carinatus and provide multidimensional characteristics i.e. species authentication, proximate assessment, structure and texture analysis as well sensory evaluation. Study confirmed authenticity of all fish samples and new DNA barcodes were introduced into database of fish profiles. Chemical composition of fillets differed significantly among species, and the unfavourable nutritional values had ridge scaled rattail, bigeye sea perch and New Zealand sole which had unfavorable fatty acid profile, high atherogenic (AI) and thrombogenic (TI) indexes, and low hypocholesterolemic to hypercholesterolemic acids ratio. On the other hand, fillets of freshwater white bass had the best PUFA:SFA ratio, and favourable TI and AI indexes from the consumer’s health point of view. Moreover, fillet of the white bass was selected by panellists as the most desirable. Structural analysis also revealed different degree of undesirable changes in fillets observed as breakdown of myofibrils and connective tissue. Multidimensional analysis characterized randomly selected sample and provided a set of useful information both for customers and fish processing sector.

scholarly journals Statistical Analysis of New Zealand Electricity Prices: A Risk Manager's Perspective

2021 ◽  
Author(s):  
◽  
Caroline Moy
Keyword(s):  
Time Series ◽  
New Zealand ◽  
Price Volatility ◽  
Distribution Functions ◽  
Electricity Price ◽  
Cumulative Distribution ◽  
Electricity Prices ◽  
Sarima Model ◽  
Price Data ◽  
Risk Manager

<p>This thesis considers the conventional SARIMA model and the EVT-GARCH model for forecasting electricity prices. However, we find that these models do not adequately capture the important characteristics of the electricity price data. A new model is developed, the EVT-SARIMA model, for forecasting electricity prices which is found to be the best at modelling the nature of the electricity prices. A time series of half-hourly electricity price data from the Hayward node in New Zealand is transformed into a daily average price series and using this resulting series, appropriate models are fitted for estimating and forecasting.  The new EVT-SARIMA model is used to simulate 1000 time series of daily electricity prices, over a 90 day period, to consider strategies for managing the risk associated with price volatility. The effects of different financial instruments on the cumulative distribution functions of predicted revenue obtained using our model are considered. Results suggest that different contracts have different effects on the predicted revenue. However, all contracts have the effect of reducing variability in the predicted revenue values and thus, should be used by a risk manager to reduce the range of probable revenue values. The quantity traded and which contracts to use is dependent on the objectives of the risk manager.</p>

Magellanic Cloud Eclipsing Binaries: Primary Distance Indicators

1999 ◽  
Vol 190 ◽  
pp. 563-566
Author(s):  
J. D. Pritchard ◽  
W. Tobin ◽  
J. V. Clausen ◽  
E. F. Guinan ◽  
E. L. Fitzpatrick ◽  
...  
Keyword(s):  
New Zealand ◽  
Magellanic Cloud ◽  
Eclipsing Binaries ◽  
Fundamental Parameters ◽  
Distance Indicators

Our collaboration involves groups in Denmark, the U.S.A. Spain and of course New Zealand. Combining ground-based and satellite (IUEandHST) observations we aim to determine accurate and precise stellar fundamental parameters for the components of Magellanic Cloud Eclipsing Binaries as well as the distances to these systems and hence the parent galaxies themselves. This poster presents our latest progress.

Heat-Etching with a Bullivant Type II Simple Freeze-Cleave Device

1970 ◽  
Vol 28 ◽  
pp. 106-107 ◽  
Author(s):  
Ronald S. Weinstein ◽  
N. Scott McNutt
Keyword(s):  
New Zealand ◽  
General Hospital ◽  
Massachusetts General Hospital ◽  
Type I ◽  
Type Ii ◽  
Collaborative Effort ◽  
Temperature And Pressure ◽  
The University

The Type I simple cold block device was described by Bullivant and Ames in 1966 and represented the product of the first successful effort to simplify the equipment required to do sophisticated freeze-cleave techniques. Bullivant, Weinstein and Someda described the Type II device which is a modification of the Type I device and was developed as a collaborative effort at the Massachusetts General Hospital and the University of Auckland, New Zealand. The modifications reduced specimen contamination and provided controlled specimen warming for heat-etching of fracture faces. We have now tested the Mass. General Hospital version of the Type II device (called the “Type II-MGH device”) on a wide variety of biological specimens and have established temperature and pressure curves for routine heat-etching with the device.

A Cytochemical Study of Glucose-6-Phosphatase (G-6-PASE) in Cells Participating in Atherogenesis of Rabbit Aorta

1975 ◽  
Vol 33 ◽  
pp. 460-461
Author(s):  
Sidney D. Kobernick ◽  
Edna A. Elfont ◽  
Neddra L. Brooks
Keyword(s):  
Lipid Metabolism ◽  
New Zealand ◽  
Aortic Wall ◽  
Rabbit Aorta ◽  
Plaque Formation ◽  
Metabolic Changes ◽  
Atherosclerotic Plaques ◽  
Cytochemical Study ◽  
Cellular Alteration ◽  
New Zealand White Rabbits

This cytochemical study was designed to investigate early metabolic changes in the aortic wall that might lead to or accompany development of atherosclerotic plaques in rabbits. The hypothesis that the primary cellular alteration leading to plaque formation might be due to changes in either carbohydrate or lipid metabolism led to histochemical studies that showed elevation of G-6-Pase in atherosclerotic plaques of rabbit aorta. This observation initiated the present investigation to determine how early in plaque formation and in which cells this change could be observed.Male New Zealand white rabbits of approximately 2000 kg consumed normal diets or diets containing 0.25 or 1.0 gm of cholesterol per day for 10, 50 and 90 days. Aortas were injected jin situ with glutaraldehyde fixative and dissected out. The plaques were identified, isolated, minced and fixed for not more than 10 minutes. Incubation and postfixation proceeded as described by Leskes and co-workers.

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