Suchergebnisse

In the energy field and more specifically in the petroleum sector, several models have been developed with a view to determining long-term price strategies and supply and demand flows without considering the sector in question from an oligopolistic perspective : institutions have been excluded from these models. This study explicitly recognizes the importance of variables often characterized as extra-economic and proposes to examine the degree of OPEC's stability. Among the factors that could negatively influence this stability are bilateral oil agreements, the coalition of consumer countries within the International Energy Agency and rivalry among the members of OPEC. The respective weight of each of these factors has been carefully examined.
On the other hand, an oil price indexing formula accepted and respected by all parties concerned would ensure the stability of this organization. However, stability via indexing is unlikely as it is difficult to find a formula acceptable to all parties. It is therefore to be anticipated that the world energy and petroleum situation in the near future will be a function of the policies of the two poles : the United States, the largest consumer, and Saudi Arabia, the largest producer. The functions-objectives of these two countries have also been examined in order to derive a number of specific hypotheses relative to the eventual evolution of the energy and petroleum sector.

The controversial Prebisch thesis in international economics of development asserts that (i) less‐developed countries (LDCs) experience a long‐run deterioration in their terms of trade with developed countries (DCs), and (ii) these experiences are the cause of the ever‐widening gap in their per capita incomes with DCs. By surveying the controversy and discussing the connection between trends in terms of trade and international economic inequality, this paper attempts to disprove some widely held notions derived from misinterpretations and from broad generalisations with indirect inferences. We conclude that there is need for case studies; in order to evaluate and select appropriate policy options.

Summary in English.

How the different levels of government and the local population react to the impact and pressure of environmental degradation and management of the water resources?

How the different levels of government and the local population react to the impact and pressure of environmental degradation and management of the water resources?

A comprehensive evaluation of the performance of the coupled Conformal Cubic Atmospheric Model (CCAM) and Chemical Transport Model (CTM) (CCAM-CTM) for the New South Wales Greater Metropolitan Region (NSW GMR) was conducted based on modelling results for two periods coinciding with measurement campaigns undertaken during the Sydney Particle Study (SPS), namely the summer in 2011 (SPS1) and the autumn in 2012 (SPS2). The model performance was evaluated for fine particulate matter (PM2.5), ozone (O3) and nitrogen dioxide (NO2) against air quality data from the NSW Government&rsquo ; s air quality monitoring network, and PM2.5 components were compared with speciated PM measurements from the Sydney Particle Study&rsquo ; s Westmead sampling site. The model tends to overpredict PM2.5 with normalised mean bias (NMB) less than 20%, however, moderate underpredictions of the daily peak are found on high PM2.5 days. The PM2.5 predictions at all sites comply with performance criteria for mean fractional bias (MFB) of ± ; 60%, but only PM2.5 predictions at Earlwood further comply with the performance goal for MFB of ± ; 30% during both periods. The model generally captures the diurnal variations in ozone with a slight underestimation. The model also tends to underpredict daily maximum hourly ozone. Ozone predictions across regions in SPS1, as well as in Sydney East, Sydney Northwest and Illawarra regions in SPS2 comply with the benchmark of MFB of ± ; 15%, however, none of the regions comply with the benchmark for mean fractional error (MFE) of 35%. The model reproduces the diurnal variations and magnitudes of NO2 well, with a slightly underestimating tendency across the regions. The MFE and normalised mean error (NME) for NO2 predictions fall well within the ranges inferred from other studies. Model results are within a factor of two of measured averages for sulphate, nitrate, sodium and organic matter, with elemental carbon, chloride, magnesium and ammonium being underpredicted. The overall performance of CCAM-CTM modelling system for the NSW GMR is comparable to similar model predictions by other regional airshed models documented in the literature. The performance of the modelling system is found to be variable according to benchmark criteria and depend on the location of the sites, as well as the time of the year. The benchmarking of CCAM-CTM modelling system supports the application of this model for air quality impact assessment and policy scenario modelling to inform air quality management in NSW.