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Psychotechnologies with biomass production as a sustainable solution for military land revitalization

100%
Pidlisnyuk V., Erickson L., Stefanovska T., Pidlisnyuk I., Davis L.
Biblioteka Regionalisty
|
2017
|
issue 17
87-94
EN
The military sites polluted by heavy metals, oil and degraded organic products constantly pose health risks and negatively affect soil, water resources and biodiversity. The prospective approach for sustainable land management of these localities is a green technology based on phytoremediation combined with the production of biomass that allows to restore marginal land to the agricultural or urban land bank and to obtain profits from processed bioproducts. The main goal of this paper is to present the results on using the second generation biofuel crop Miscanthusxgiganteus for the revitalization of the former military sites in Ukraine, the Czech Republic and the US using such an approach. The results of laboratory experiments and two years’ field research proved the prospects of the phytotechnology and calls for further investigation related to economic value chain and behaviour aspects.
2

Residential Real Estate in Europe: An Exploration of Common Risk Factors

58%
Druica E., Valsan C., Ianole R.
Review of Economic Perspectives
|
2015
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vol. 15
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issue 4
413-429
EN
We conduct an exploratory analysis using proxy measures of cross-sectional returns and rental yields in residential real estate. Asset pricing models predict that expected returns should exhibit some sensitivity to one or several fundamental variables that represent a common source of undiversifiable risk. Residential real estate, just like works of art and collectibles, is unique because it represents both an investment vehicle and a durable consumption good. Its pricing and returns should thus reflect both the benefits from portfolio diversification and the effect of supply and demand. In this paper, we investigate the variation in proxy returns and proxy rental yields across 34 major European cities, using a handful of independent variables that should account for the influence of market risk, inflation, and liquidity. In spite of obvious limitations stemming from our sample, we find that the explanatory power of our model is unusually high for a cross-sectional data analysis. Some of our findings concur with other studies showing that in spite of strong segmentation, real estate markets respond to the same structural risk factors. A good portion of our results, however, is hard to explain and interpret. Either we need to take into account cultural differences between Eastern and Western Europe as part of a behavioral approach, or we have to concede that we have been misled by the mismatch in the level of aggregation and the crude estimation of the dependent variables.
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