Thesis (Ph. D.)--Ohio State University, 2004. / Title from first page of PDF file. Document formatted into pages; contains xv, 180 p.; also includes graphics (some col.). Includes bibliographical references (p. 115-121).

Thesis (Ph. D.)--University of Chicago, Faculty of the Graduate School of Business. / Includes bibliographical references. Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2008. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on June 4, 2009) Vita. Includes bibliographical references.

Thesis (Ph. D.)--University of Chicago, Irving B. Harris Graduate School of Public Policy Studies, December 1999. / Includes bibliographical references. Also available on the Internet.

Thesis--Neuchâtel. / Without thesis note. Bibliography: p. [132]-135.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1971. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (Ph. D.)--Ohio State University, 2006. / Title from first page of PDF file. Includes bibliographical references (p. 149-155).

There is a growing consensus that agricultural and rural lands contribute more than just commodity outputs; they also contribute non-market or non-commodity outputs as well. These non-market attributes of agriculture are well documented; ecosystem services, rural heritage, rural economic validity, and domestic food security to name a few. Increasingly, countries want to compensate producers of agricultural commodities for providing these non-market externalities as well. Policy decision makers in the United States need adequate information about the attitudinal, demographic, and economic preferences of the public for financially supporting these non-market commodities. Our research, using the contingent valuation research method, found that select attitudinal and demographic variables were significant in the public's decision to support a willingness to pay question regarding the compensation for the provision of such non-market goods. In addition, mean household willingness to pay for the non-market provisions from agricultural and rural lands was calculated for the U.S.

This study examines the effects of contamination on the redevelopment and valuation of industrial land. The period covered by the study was one in which environmental legislation in the United Kingdom was undergoing significant changes. The Government's proposal to introduce registers of 'potentially contaminated sites' was fiercely opposed by different interest groups and was abandoned. New legislative proposals followed but will not take effect before 1997. During the same period, the guidance given to the valuers of industrial properties, and of other properties which may be affected by contamination, has been limited in scope and difficult to implement. It is argued that contaminated land is an important resource and that a 'risk assessment' approach should be adopted for valuation purposes and the appraisal of redevelopment proposals. The processes involved in the investigation of contaminated sites, the selection of treatment methods and the role of the valuer in these actions are considered. Alternative approaches to the valuation and appraisal of contaminated sites are described, both in situations where the existing industrial use is to continue and where redevelopment is proposed. Value was found to be affected both by the cost to treat the contamination and perceived 'risk factors', which are collectively termed 'stigma'.Besides valuers, many different actors are involved in the property development process. These actors are likely to hold differing views in respect of treatment methods, the value and desirability of redeveloping contaminated sites, according to the nature of their involvement. Questionnaire surveys were undertaken of valuers and other professionals involved in redevelopment, in order to test their perceptions of the risks involved. The views of a 'general population' sample were also obtained in respect of a number of environmental issues, in order to compare the views of two 'expert' groups with those of a wider population. Interviews were conducted with a number of leading valuers, so as to assess current practice in reflecting the possibility of contamination in valuations. The surveys enabled professional perceptions of the stigma effect to be determined. Case studies involving the redevelopment of contaminated sites were researched and the impact of stigma upon transaction prices was assessed. The findings of the research enabled a predictive model to be developed for use in the valuation of contaminated land and this was tested by reference to ten case studies. The perception of risk, associated with contaminated land, held by valuers was clearly identified to be higher than that perceived by the other group of'experts' involved in the development process. All of the professionals were generally supportive of current Government proposals but with some reservations. Property investors were identified as being the most cautious of all actors involved in property development. Further research proposals are described.

Sampling is an error generating process and these errors should be reduced to a minimum if an accurate ore reserve estimation is to be made from the sample values. Error in sampling can arise from the sampling procedure as well as where and how each sample is taken from the deposit . Sampling procedure involves sample collection, sample reduction and analysis, and the error from each of these three stages has an equal influence on the total error of the process. Error due to sampling procedure should be identified and eliminated at an early stage in the evaluation programme. An ore deposit should be subdivided into sampling strata along geological boundaries, and once these boundaries have been established they should be adhered to for the evaluation programme. The sampling of each stratum depends on the small-scale structures in which the grade is distributed, and this distribution in relation to sample size controls sample variance, sample bias and the volume of influence of each sample. Cluster sampling can be used where an impractically large sample is necessary to reduce sample variance or increase the volume of influence of samples. Sample bias can be reduced by composing a large number of small samples . Sampling patterns should be designed with reference to the volumes of influence of samples, and in favourable geology, geostatistical or statistical techniques can be used to predict the precision of an ore reserve estimation 1n terms of the number of samples taken. Different are deposits have different sampling characteristics and problems which can be directly related to the geology of the mineralization. If geology is disregarded when sampling an are deposit, an evaluation programme cannot claim to give an accurate estimate of the ore reserves .