Land Conversion for Suburban Housing: A Study of Urbanization Around Warsaw and Olsztyn,Poland

In Poland of the 1990s, urban demand for housing land around city agglomerations increased rapidly. The decreasing profitability of agricultural production also caused farmers to become interested in the sale of agricultural land for nonagricultural purposes, and new land legislation granted them the right to sell their land. Polish counties simultaneously received self-governing status, which allowed them to define the priorities for local development. Counties received additional responsibility for land management and quickly demonstrated strong support for land conversion, which was perceived as a factor of local development. This paper argues that decentralization and the extension of private control over land have led to a loss of rural landscapes in Poland because farmers, county governments, and rural society in general gained from the conversion of agricultural to housing land. Rapid urbanization has significantly reduced the availability of open space around cities and threatened valuable landscapes, for it has occurred in the absence of environmental safeguards. This paper reports findings from research in two counties, located in regions with diverse economic growth rates. Decentralization is particularly problematic if tax regulations and intergovernmental fiscal relations reward local authorities for urbanization but not environmental protection. Note: This version was published online in June 2005 with the cover date of August 2004.     

Interregional burden-sharing of greenhouse gas mitigation in the United States

Emissions trading is anattractive candidate for implementinggreenhouse gas mitigation, because it canpromote both efficiency and equity. Thispaper analyzes the interregional impacts ofalternative allocations of carbon dioxideemission permits within the U.S. Theanalysis is performed with the aid of anonlinear programming model for ten EPARegions and for six alternative permitdistribution formulas. The reason thatvarious alternatives need to be consideredis that there is no universal consensus onthe best definition of equity. Advanceknowledge of absolute and relative regionaleconomic impacts provides policy-makerswith a stronger basis for making thechoice. The analysis yields several usefulresults. First, the simulations indicatethat no matter how permits are allocated,this policy instrument can substantiallyreduce the cost of GHG mitigation for theU.S. in comparison to a system of fixedquotas for each of its regions. Interestingly, the welfare impacts ofseveral of the allocation formulas differonly slightly despite the large differencesin their philosophical underpinnings. Also, the results for some equity criteriadiffer greatly from their application inthe international domain. For example, theEgalitarian (per capita) criterion resultsin the relatively greatest cost burdenbeing incurred by one of the regions of theU.S. with the lowest per capita income.     

Uncertainty aspects in process safety analysis

Uncertainties of input data as well as of simulation models used in process safety analysis (PSA) are key issues in the application of risk analysis results. Mostly, it is connected with an incomplete and uncertain identification of representative accident scenario (RAS) and other vague and ambiguous information required for the assessment of particular elements of risk, especially for determination of frequency as well as severity of the consequences of RAS. The authors discuss and present the sources and types of uncertainties encountered in PSA and also methods to deal with them. There are different approaches to improve such analysis including sensitivity analysis, expert method, statistics and fuzzy logic. Statistical approach uses probability distribution of the input data and fuzzy logic approach uses fuzzy sets. This paper undertakes the fuzzy approach and presents a proposal for fuzzy risk assessment. It consists of a combination of traditional part, where methods within the process hazard analysis (PHA) are used, and “fuzzy part”, applied quantitatively, where fuzzy logic system (FLS) is involved. It concerns frequency, severity of the consequences of RAS and risk evaluation. In addition, a new element called risk correction index (RCI) is introduced to take into account uncertainty concerned with the identification of RAS. The preliminary tests confirmed that the final results on risk index are more precisely and realistically determined.