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| Meacham, Megan; Stockholm Resilience Centre, Stockholm University; megan.meacham@su.se; Queiroz, Cibele; Stockholm Resilience Centre, Stockholm University; The Beijer Institute of Ecological Economics, Swedish Royal Academy of Sciences; Cibele.Queiroz@su.se; Peterson, Garry D; Stockholm Resilience Centre, Stockholm University; garry.peterson@su.se. |
| In human dominated landscapes many diverse, and often antagonistic, human activities are intentionally and inadvertently determining the supply of various ecosystem services. Understanding how different social and ecological factors shape the availability of ecosystem services is essential for fair and effective policy and management. In this paper, we evaluate how well alternative social-ecological models of human impact on ecosystems explain patterns of 16 ecosystem services (ES) across the 62 municipalities of the Norrström drainage basin in Sweden. We test four models of human impact on ecosystems, land use, ecological modernization, ecological footprint, and location theory, and test their ability to predict both individual ES and bundles of... |
| Tipo: NON-REFEREED |
Palavras-chave: Ecological footprint; Ecological modernization; Ecosystem service bundles; Land use change; Location theory; Stockholm; Sweden. |
| Ano: 2016 |
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| Lambert, Dayton M.; McNamara, Kevin T.; Garrett, Megan I.. |
| The influence product markets, agglomeration, labor, infrastructure, and government fiscal attributes had on manufacturing investment flows in Indiana between 2000 and 2004 were estimated using Poisson regression, geographically weighted regression, and a spatial general linear model. Counties with access to urbanization economies, product markets, available labor, a high-quality workforce, and transport infrastructure were more likely to attract manufacturing investment. These effects were magnified to some extent when inter-county spatial effects were modeled. The distributional assumptions of the spatial models are different, but both methods are useful for understanding the spatial context of the factors influencing manufacturing investment flows. |
| Tipo: Journal Article |
Palavras-chave: Geographically weighted regression; Location determinants; Location theory; Manufacturing site selection; Poisson spatial generalized linear model; Agribusiness; Industrial Organization; Productivity Analysis; R1; R3. |
| Ano: 2006 |
URL: http://purl.umn.edu/43752 |
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