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Abstract: The degradation of organic compounds found in municipal solid waste (MSW) under the anaerobic landfill conditions produces gas and liquid emissions that can protract well into the landfill after-care period. The European Landfill Directives regulate the amount and nature of the organic compounds disposed into landfills. In South Africa and other developing countries, MSW is still landfilled without any kind of pre-treatment. This paper presents a pilot project of mechanical biological waste treatment (MBWT) in South Africa implemented at municipal level in the city of Durban using passively aerated open windrows. Based on case studies from Austria, England and South Africa, a waste minimisation model which can facilitate full-scale implementation of MBWT in developing countries is presented. MSW was treated in open windrows for 8weeks. Composting temperature reached a maximum of 65°C in less than 10days. The results of eluate tests on waste samples from the windrows at the end of composting show a reduction of BOD5 and BOD5/COD ratios equal to 35.7% and 16.7%, respectively. The percent waste composition of the treated MSW was 28.3% putrescibles, 17.4% garden refuse, 13.3% plastic, 12.4% fabrics, 12% paper and other elements. The waste composition shows that more than 40% of un-treated organic material and also more than 40% non-biodegradable and recyclable materials are still landfilled without any form of biological treatment or resource recovery. A simple wet and dry waste collection model can promote recycling, treatment of biological waste before landfilling, resource recovery, labour intensive jobs and hence sustainable landfilling in the South African scenario as well as in similar developing countries. [Copyright &y& Elsevier]

Background: Cannabis prohibition can generally be regarded as the main driver for home growing of marijuana. In this paper, I discuss the impact of drug prohibition on cannabis cultivators from the three German-speaking countries: Germany, Austria and Switzerland. In particular, this refers to the questions; how illicitness influences motivations for growing; which precautionary measures are taken against the risk of discovery; how penal consequences differ in the three countries and how these aspects are linked to each other.Methods: The results come from a sample of 1578 respondents from the German-language online survey conducted following the International Cannabis Cultivation Questionnaire (ICCQ). The survey was carried out in late 2012 and early 2013.Results: While most of the reasons for growing cannabis relate to avoiding negative consequences of prohibition, the illicitness of cannabis also plays a major role for concern about the cultivation activities as well as measures to avoid negative consequences. Swiss growers are less worried about their activity compared to respondents from Germany or Austria.Conclusion: The results confirm the notion that the illicitness of cannabis is the main drive for the private cultivation of the plant. At the same time, prohibition is the principal reason for concern regarding the growing activity. The severity of possible sentences seems to be linked to the degree of concern and precautionary measures. [ABSTRACT FROM AUTHOR]

Abstract: This paper introduces an integrative approach to hedonic house price modeling which utilizes high density 3D airborne laser scanning (ALS) data. In general, it is shown that extracting exploratory variables using 3D analysis – thus explicitly considering high-rise buildings, shadowing effects, etc. – is crucial in complex urban environments and is limited in well-established raster-based modeling. This is fundamental in large-scale urban analyses where essential determinants influencing real estate prices are constantly missing and are not accessible in official and mass appraiser databases. More specifically, the advantages of this methodology are demonstrated by means of a novel and economically important externality, namely incoming solar radiation, derived separately for each flat. Findings from an empirical case study in Vienna, Austria, applying a non-linear generalized additive hedonic model, suggest that solar radiation is significantly capitalized in flat prices. A model comparison clearly proves that the hedonic model accounting for ALS-based solar radiation performs significantly superior. Compared to a model without this externality, it increases the model’s explanatory power by approximately 13% and additionally reduces the prediction error by around 15%. The results provide strong evidence that explanatory variables originating from ALS, explicitly regarding the immediate 3D surroundings, enhance traditional hedonic models in urban environments. [Copyright &y& Elsevier]

Abstract: Most commonly, sustainability indicator sets presented as lists do not take into account interactions among indicators in a systematic manner. Vice versa, existing environmental indicator systems do not provide a formalized approach for problem structuring and quantitative decision support. In this paper, techniques for considering indicator relationships are highlighted and a coupled approach between a qualitative and a quantitative method is analysed. Cognitive mapping (CM) is used for structuring indicators and three different causal maps are derived based on established sustainability concepts: (a) criteria and indicators (C&I hierarchy), (b) indicator network, and (c) Driving Force-Pressure-State-Impact-Response (DPSIR) system. These maps are transferred to the Analytic Network Process (ANP) to allow their application in multi-criteria decision analysis (MCDA). In an application example, Pan-European indicators for sustainable forest management (SFM) are utilized in an ANP-based assessment. The effects of the model structure on the overall evaluation result are demonstrated by means of three reporting periods on Austrian forestry. In a comparative analysis of CM and ANP it is tested whether their measures of indicator significance do correspond. Both centrality in CM and single limited priorities in ANP have been reported to identify key indicators that play an important role in networks. We found out that the correspondence between CM and ANP is the stronger the more rigidly cause-effect relationships are interpreted, which is the case for the DPSIR system of SFM indicators. It is demonstrated that using indicator sets without consideration of the indicator interactions will cause shortcomings for evaluation and assessment procedures in SFM. Given strict and consistent definition of causal indicator relationships, a coupled use of CM and ANP is recommendable for both enhancing the process of problem structuring as well as supporting preference-based evaluation of decision alternatives. [Copyright &y& Elsevier]

Abstract: Minimum treatment requirements for waste electrical and electronic equipment (WEEE) established by Directive 2002/96/EC provide for the removal of specific components containing hazardous substances. To date, no comparative analysis of removal rates has been undertaken. The present paper examines the state of de-pollution of sWEEE in Austrian treatment plants. The mass of selected components removed and the corresponding mass of hazardous substances is compared to estimated values for sWEEE input material. The results obtained reveal that components are only partly removed, featuring a high variation between components and plants assessed. The overall rate of removal ranged from 72% of the estimated value for batteries to 21% of the estimated value for liquid crystal panels. This implies the forwarding of substantial quantities of hazardous substances to mechanical treatment processes, particularly relevant in terms of dispersion of pollutants. Furthermore, easily releasable pollutants, such as Hg from LCD-backlights, Cd from batteries or highly contaminated dust in general, pose substantial health risks for plant workers. Low removal rates of printed circuit boards, batteries and toner cartridges also lead to a reduction in quantities of valuable recyclable materials (precious metals, plastics). [Copyright &y& Elsevier]

This paper presents a societal level exergy analysis approach developed to analyse transitions in the way that energy is supplied and contributes to economic growth in the UK, the US, Austria and Japan, throughout the last century. We assess changes in exergy and useful work consumption, energy efficiency and related GDP intensity measures of each economy. The novel data provided elucidate certain characteristics of divergence and commonality in the energy transitions studied. The results indicate that in each country the processes of industrialization, urbanisation and electrification are characterised by a marked increase in exergy and useful work supplies and per capita intensities. There is a common and continuous decrease in the exergy intensity of GDP. Moreover for each country studied the trend of increasing useful work intensity of GDP reversed in the early 1970s coincident with the first oil crisis. [Copyright &y& Elsevier]

Abstract: A number of European countries have expanded their screening programme considerably during the last decade. Other countries have, however, not expanded their programme substantially. In this paper, I will compare UK and Austria, two countries representing two ends of the European spectrum. Focussing on the decision-making processes behind the design and expansion of newborn screening, I draw on Sheila Jasanoff''s concept of “civic epistemology” (Jasanoff, S. (2005). Designs on Nature. Princeton and Oxford: Princeton University Press.) to investigate how the chosen countries provide information in order to give account for their respective screening policies. In particular, I analyse how key institutions in the UK and Austria use scientific expertise to explain and justify national screening programmes. For this purpose, I compare the material that is made available to the public, including policy documents, scientific studies, medical guidelines, legal regulation, advisory committee reports and public engagement exercises. It was found that the observed differences in the accountability practices are rooted in nationally traditional forms of policy making. However, whether or not these repertoires become indeed realised is a more contingent matter and is often triggered by events which evoke a response from the medical and policy-making actors. [Copyright &y& Elsevier]

Clinical trials for the treatment of schizophrenia now often include cognitive assessments in addition to clinical ratings of symptoms. Recently, these trials have included cross-national assessments. It is not clear if translated psychological tests produce consistent results across different languages. This paper presents the results of a study of the comparability of the results of cognitive assessments in different English-speaking countries and a number of countries where tests were translated into other languages. Performance on tests of executive functioning, verbal and visuo-spatial learning and memory, language skills, psychomotor speed, and vigilance was compared across the first episode patients with schizophrenia (n=301) assessed in six different languages (English, French, Finnish, German, Hebrew, and Afrikaans), including two different countries where patients were assessed in English and other languages: Canada (French) and South Africa (Afrikaans). The variance in performance across the sites tested in English was as large as the variance between English and non-English speakers when all tests were considered. Performance differences across English and other languages were found only for executive functions, vigilance, and psychomotor speed, with executive functioning differences nonsignificant when education was considered. No differences were found between English and non-English speakers in Canada. These results suggest that the translation of tests of memory and verbal skills can lead to consistent results across translated versions of the tests. Differences between countries were greater than differences between languages, suggesting the need to consider representativeness of patient samples in terms of local educational attainment. In general, these data support the validity of cross-national neuropsychological assessments. [Copyright &y& Elsevier]

Parental leave policies across the globe have become much more generous than they used to be. This is also true for prenatal maternal leave. While this may be costly in the short run, little is known about the effect of maternal employment during pregnancy on newborn health. In this paper, I exploit three sharp policy changes on the duration of paid parental leave in Austria that strongly affected the share of mothers who work up to the 32nd week of pregnancy. I use administrative data from Austria on the working history of women linked to the full Austrian birth register and coupled with a regression discontinuity framework to identify the effect of prenatal employment on their offspring. Maternal employment during pregnancy with the second child reacts strongly to these policy changes. The share of employed mothers sharply declined in 1990 by 19.1 percentage points, increased in 1996 by 6.9 percentage points and declined again by 6.4 percentage points in 2000. None of these changes in prenatal employment translated into effects on newborn health measured via birth weight, gestational length, and Apgar scores. This result holds true for mothers of different socioeconomic backgrounds and across industries. The effect is precisely estimated, which suggests that prenatal employment prior to the 32nd week of pregnancy does not causally affect the fetus for measures visible at birth. [ABSTRACT FROM AUTHOR]