Browsing by Subject "natural resources"
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Item Atlas of Minnesota(Mankato, MN : Center for Rural Policy and Development, Minnesota State University, Mankato, 2003) Atlas of Minnesota Steering GroupThe Atlas is Minnesota’s compilation of data from the most credible and current sources available, including the 2000 Census, the US Bureau of Economic Analysis, and a host of Minnesota state departments. Print version includes a CD-ROM version of the Atlas that allows users to explore the data in greater depth. The CD includes geographic data, attribute data, and metadata, as well as ArcExplorer (TM) software to access it. It also contains Adobe (R) PDF files and Microsoft PowerPoint (R) files to view and present the graphics in the Atlas. Microsoft PowerPoint software is needed to view and present these graphics.Item Atlas of Minnesota Resources and Settlement.(Center for Urban and Regional Affairs, University of Minnesota., 1969) Borchert, John R.; Yaeger, DonaldItem Atlas of Minnesota Resources and Settlement. 3rd edition.(Center for Urban and Regional Affairs, University of Minnesota; and Minnesota State Planning Agency, 1980) Borchert, John R.; Gustafson, Neil C.Item Atlas of Minnesota, Social and Economic Characteristics of the North Star State population, 2nd edition.(University of Minnesota Extension Service., 2003) Center for Rural Policy and Development; Blandin Foundation; University of Minnesota Extension ServiceItem Big Stone County Draft Comprehensive Plan.(2002) Glieden, LynnaeItem Eureka Township Envisioning Task Force Report: Exploring the Possibilities.(2003) Mega, Matthew; Mitteco, Gina; Greco, Michael D. (Mike)Item Eureka Township Envisioning Task Force Report: Summary Report(2003) Mega, Matthew; Mitteco, Gina; Greco, MichaelItem Forest Lake Recreation and Open Space Issues.(1986) Casey, Kathy, et al.Item Framework for Measuring Sustainable Regional Development for the Twin Cities Region. Final Report.(Minneapolis: Center for Urban and Regional Affairs, University of Minnesota., 2010) Center for Urban and Regional Affairs; Center for Transportation StudiesItem Hassan Township: Resources Now and in the Future.(1989) Braasch, Mark et al.Item Long-Term Sustainability of Natural Resources in Brooklyn Park(Resilient Communities Project (RCP), University of Minnesota, 2016) Lanoux, Chad; Kutschke, Liz; Mejicano, Elizabeth; Kenote, Thomas; Werbeach, Shannon; Gurke, KateThis project was completed as part of the 2016-2017 Resilient Communities Project (rcp.umn.edu) partnership with the City of Brooklyn Park. Brooklyn Park does not currently have a comprehensive natural resource management plan. The goal of the project was to develop a management plan based on best practices for natural resource management. Brooklyn Park project lead Jody Yungers worked with the students in Dr. Mae Davenport’s ESPM 5245: Sustainable Land Use Planning and Policy course to produce recommendations for managing Brooklyn Park's natural and cultural resources, with a focus on planning for protected areas and promoting equitable access to parks and trails. The final report and presentation are available.Item Minnesota Land Management Information System Ten Years Later.(Center for Urban and Regional Affairs, University of Minnesota, 1986) Craig, William J.Item Minnesota's Lakeshore: Part 1 - Resources, Development, Policy Needs(University of Minnesota: Center for Urban and Regional Affairs and Department of Geography, 1970) Borchert, John R; Orning, George W; Stinchfield, Joseph; Maki, LesItem Minnesota's Lakeshore: Part 2 - Statistical Summary(University of Minnesota: Center for Urban and Regional Affairs and Department of Geography, 1970) Borchert, John R; Orning, George W; Stinchfield, Joseph; Mak, LesItem Minnesotans in Nature: Trends and Prospects.(1974) Borchert, John R.Item Natural Resources and Spatial Spillovers(2015-06) Batbold, DulguunRegions going through a natural resource boom tend to have higher average incomes and employment relative to the rest of the country. For policy analysis, a question that often needs to be answered is to what extent the economic growth in the extraction region spills over to neighboring areas. This thesis develops a detailed methodology for analyzing the economic effects of geographically localized shocks within the framework of a parsimonious spatial general equilibrium model, including various methods for estimating key parameters. This model-based approach is being offered as a complementary tool for applied researchers conducting economic impact analysis. Existing empirical methods such as input-output analysis or difference-in-difference estimation techniques are often not optimal for analyzing spatially correlated data, and this model-based methodology can be used to overcome their limitations. Another important advantage of this methodology is that it is computationally tractable and has a relatively low data requirement, which can make a particularly big difference in studying developing countries where data quality and availability can often be an insurmountable challenge. Following the exposition of the methodology, this thesis presents two separate applications, one involving a developed nation and the other a developing one. In the first case, the methodology is applied to analyze the economic impact of the shale energy boom that's been occurring in and around Bakken counties in western North Dakota and eastern Montana over the past decade. In the second case, the methodology is used to analyze the economic impact of the Oyu Tolgoi copper-gold mining project in the Southern Gobi region of Mongolia. A common conclusion that is drawn from the two applications mentioned above is that economic booms fueled by natural resource extracting industries are largely local and have limited spillover effects on neighboring regions.Item Pak Mun Dam and its Impact on Local Residents of Ubon Ratchathani Province, Thailand: A Quantitative Analysis(2020-11) Chaiyamart, PattaraphongpanMany dams have been built along the Mae Khong River, bringing up many issues, including that of sustainable livelihood. Pak Mun Dam is one of the most controversial dams in Thailand, and its issues have continued to today. While many studies on dams have been conducted, this is the first quantitative study, using the Structural Equation Model to understand the eight dimensions of well-being. The survey on which this dissertation is based collected 250 pieces of data for the impacted community and 250 pieces of data for the non-impacted community of the Khong Jiam district in the Ubon Ratchathani province of Thailand. The eight dimensions of well-being are based on concepts and theories about achieving sustainable livelihoods. Within these eight dimensions, there are 24 out of 40 items that have a lower mean for the impacted community, in comparison to the non-impacted community, which is statistically significant. Based on the sustainable livelihood framework model, institutions (in this case, the government) play the role of providing strategies to increase well-being assets directly in terms of overall well-being and through dimensions of well-being. In this model, the government’s interventions are public services, quality of job training, and the satisfaction level for the Pak Mun Dam solution. The empirical results of the first order factors show that there are seven factors that are statistically included as first order factors with twenty items. These twenty items represent the factors of economics, community, environment, politics, working conditions, culture, and family. Second order factors were included in the structural model as independent variables in order to predict the dependent variable of overall well-being. Economic well-being and social well-being are statistically significant factors for predicting overall well-being; they can also be mediators of the model. The results from the structural model show that there is full mediation within this model, which means that the government’s impact on overall well-being can only be explained through increasing economic and social well-being. The satisfaction level of Pak Mun Dam’s government solution would impact overall well-being through the mediation of economic well-. The government’s quality of job training and the provision of government services would impact overall well-being through social well-being. In addition to the benefit of standardized estimates of economic and social well-being, the institutions can use the twenty items to help specify factors and provide better policy to maintain sustainable livelihoods based on their precise information. The marginal rate of substitution (MRS) result also shows the relationship between economic well-being and social well-being: local community residents would give up more of their economic well-being to gain more social well-being. This shows that their social well-being is a very important factor for their livelihoods. The study is significant for six reasons. First, it is the first quantitative study of the well-being of local residents impacted by the dam; it also provides more complete information and deeper understanding about each dimension of well-being. Second, this study is the first study that combines more dimensions of well-being based on SLF into a single study. Third, it has furthered the work of existing studies with SEM to SLF to investigate the impact of the dam. Fourth, it informs policymakers so that they can provide more suitable policies to achieve sustainable livelihoods. Fifth, the study also adds the MRS concept to understand local residents’ decision-making process on well-being, and it can be used to create the well-being index and trade-off analysis for SLF projects. Last, testing the important of institute with specific needs of local residents would be more efficient for SLF project.