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Both practitioners and academics agree about the importance of price and its direct influenceon consumers’ purchase decision as well as the company profit. In the reality, we rarely see a
single price for a given product. One visit in a store already shows that consumers face many various prices. This strategy of differential prices allows to increase profit but also improves consumers’ situation and increases welfare. A wide range of various price differentiation mechanisms exists on the market which makes price differentiation a very interesting phenomenon. Additionally, market developments constantly allow for new price differentiation applications. In this work, I research a fascinating topic of price differentiation, its various forms
and new application possibilities in changing market areas.
NE Mount Kenya is characterised by dense population and small scale farming is the main form of land use. In the region, continual pressure on the forest resources as result of land use is a continuing problem. The NE Mount Kenya Forest Reserves (Imenti Forest Reserve, Mount Kenya Forest Reserve) play an important role in the livelihood of the neighbouring communities. However population pressure, reserve management policies, economic changes, an ineffective land tenure system and poverty are socio-economic factors contributing to land use changes and an intensification of agriculture. Illegal factors like clearing forest vegetation for firewood and grazing areas, at the expense of the protected forest areas, are present. This study focuses on an interdisplinary approach to analyse socio-economic and ecological factors in NE Mount Kenya relevant to land degradation. This includes remote sensing data (interpretation of satellite images Landsat TM 1987 and ETM 2000) combined with interviews from the land user’s perspective. Ethnographic research of this type on this topic has not been done in the region before. This entailed applying both a qualitative (giving farmers the opportunity to identify factors they perceived as important in regard to land use) and a quantitative method of data analysis. The Mount Kenya Forest region is distinguished by high elevation and a humid to sub-humid climate, while the Imenti Forest region lies lower and is characterised by semi-humid and transitional zones. Land use in the Mount Kenya Forest region is mainly perennial thus eliminating seasonal land use changes. In the Imenti Forest region, 30% of the farmers said they had gone through major land use changes within the last 20 years. The major land use change consisted of a shift from residential farming in the protected areas which offered more farming and grazing areas, to being restricted to individual farm plots which consequently led to the intensification of cultivation thus contributing to land degradation. The satellite images in the same region show a clear decrease in coverage of forest vegetation and an increase in open areas in the Imenti Forest region which the farmers explain influences the tentative land use changes in the region. On the other hand, in the Mount Kenya forest region, there has been an increase in forest vegetation cover which is also evident in the satellite images. Areas that were plantation and cultivated regions in 1987 have forest cover in 2000, which the farmers stated was as a result of their afforestation initiatives. Nevertheless, indicators of degradation e.g. rill and gully erosion are evident and correlated to the intensified land use in both forest regions. The population impact in the region apparently intensifies land use therefore the identified socio-economic factors in the region should be given priority in integrating development projects that are directly beneficial to park-adjacent communities according to the needs of the particular agro-ecological zone (AEZ). Location specific research can better enhance the understanding of the socio-economic factors influencing land use change. Furthermore, promoting alternative income generating activities, besides the present livestock and crop farming, can help reduce the risks of land degradation.
We test the menu cost model of Ball and Mankiw (1994, 1995), which implies that the impact of price dispersion on inflation should differ between inflation and deflation episodes, using data for Japan and Hong Kong. We use a random cross-section sample split when calculating the moments of the distribution of price changes to mitigate the small-cross-sectionsample bias noted by Cecchetti and Bryan (1999). The parameter on the third moment is positive and significant in both countries during both the inflation and deflation periods, and the parameter on the second moment changes sign in the deflation period, as the theory predicts. Keywords: inflation, deflation, menu costs, Hong Kong, Japan JEL Numbers: E31
Aims: To analyze the relationship between exposure to chlorinated and aromatic organic solvents and malignant lymphoma in a multi-centre, population-based case-control study.
Methods: Male and female patients with malignant lymphoma (n=710) between 18 and 80 years of age were prospectively recruited in six study regions in Germany (Ludwigshafen /Upper Palatinate, Heidelberg/ Rhine-Neckar-County, Wurzburg/ Lower Frankonia, Hamburg, Bielefeld/ Gutersloh, and Munich). For each newly recruited lymphoma case, a gender, region and age-matched (+/- 1 year of birth) population control was drawn from the population registers. In a structured personal interview, we elicited a complete occupational history, including every occupational period that lasted at least one year. On the basis of job task-specific supplementary questionnaires, a trained occupational physician assessed the exposure to chlorinated hydrocarbons (trichloroethylene, tetrachloroethylene, dichloromethane, carbon tetrachloride) and aromatic hydrocarbons (benzene, toluene, xylene, styrene). Odds ratios (OR) and 95% confidence intervals (CI) were calculated using conditional logistic regression analysis, adjusted for smoking (in pack years) and alcohol consumption. To increase the statistical power, patients with specific lymphoma subentities were additionally compared with the entire control group using unconditional logistic regression analysis.
Results: We observed a statistically significant association between high exposure to chlorinated hydrocarbons and malignant lymphoma (Odds ratio = 2.1; 95% confidence interval 1.1-4.3). In the analysis of lymphoma subentities, a pronounced risk elevation was found for follicular lymphoma and marginal zone lymphoma. When specific substances were considered, the association between trichloroethylene and malignant lymphoma was of borderline statistical significance. Aromatic hydrocarbons were not significantly associated with the lymphoma diagnosis.
Conclusions: In accordance with the literature, this data point to a potential etiologic role of chlorinated hydrocarbons (particularly trichloroethylene) and malignant lymphoma. Chlorinated hydrocarbons might affect specific lymphoma subentities differentially. Our study does not support a strong association between aromatic hydrocarbons (benzene, toluene, xylene, or styrene) and the diagnosis of a malignant lymphoma.