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Registros recuperados: 16 | |
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Himes-cornell, Amber; Grose, Susan O.; Pendleton, Linwood. |
Mangroves, seagrass meadows, and salt marshes, collectively termed “Blue Forests,” are counted among the most valuable and productive coastal ecosystems on the planet. A recent literature review of the Blue Forest valuation research identified mangroves as the most frequently analyzed of these ecosystems, yet the literature demonstrates several deficits in terms of geographic location of studies, methods used to value the services, and most notably, a lack of valuation for cultural services. To better understand this, we analyzed the studies dealing specifically with mangroves from the original literature review to quantify what has been valued, where, by which methods, and the variation in the published values. We then use this information to synthesize... |
Tipo: Text |
Palavras-chave: Ecosystem services; Mangrove; Economic valuation; Cultural ecosystem services; Benefit transfer. |
Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00461/57258/59287.pdf |
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Smith, V. Kerry; van Houtven, George; Pattanayak, Subhrendu K.. |
This paper proposes and illustrates the use of a new approach to benefit transfer for the non-market valuation of environmental resources. It treats transfer as an identification problem that requires assessing whether available benefit estimates permit the parameters of a preference function to be identified. The transfer method proposed uses these identifying restrictions to calibrate preference parameters and bases the benefit estimates on that preference function. The approach is illustrated using travel cost, hedonic and contingent valuation estimates, as well as combinations of estimates. It has three potential advantages over conventional practice: (1) it allows multiple, potentially overlapping estimates of the benefits of an improvement in... |
Tipo: Working or Discussion Paper |
Palavras-chave: Benefit transfer; Calibration; Non-market valuation; Environmental Economics and Policy; D61; Q20; H40. |
Ano: 1999 |
URL: http://purl.umn.edu/10607 |
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Rolfe, John; Windle, Jill. |
Policy makers are often interested in transferring non-market estimates of environmental values from a ‘source’ study to predict economic values at a ‘target’ site. While most applications of the benefit transfer process involve an opportunistic search for suitable source studies, there are some examples available of more systematic approaches to developing a framework of values for benefit transfer processes. A key issue in developing such a framework is to deal with adjustment factors, where value estimates might vary systematically according to the context of the trade-offs. Previous research has identified that large differences in scope, such as between national and regional contexts, do affect values and hence benefit transfer. The research reported... |
Tipo: Article |
Palavras-chave: Benefit transfer; Choice modelling; Environmental valuation; Resource /Energy Economics and Policy. |
Ano: 2008 |
URL: http://purl.umn.edu/118536 |
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Windle, Jill; Rolfe, John. |
made in one situation to related circumstances. The benefit transfer process is typically reliant on the availability of a number of source studies which have appropriate levels of reliability and relevance to the issue of interest. However, the limited number of non-market valuation studies to draw on for source values currently limits the benefit transfer process. In this paper, an alternative approach to benefit transfer is outlined where a series of valuation studies were specifically performed to build a reference data base of values for benefit transfer purposes. The choice modelling technique was used to estimate community values for protecting soil, water and vegetation stocks in Queensland, Australia, where both state and regional populations were... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Benefit transfer; Environmental valuation; Choice modelling; Environmental Economics and Policy. |
Ano: 2007 |
URL: http://purl.umn.edu/10369 |
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Baskaran, Ramesh; Cullen, Ross; Colombo, Sergio. |
Most ecosystem services (ES) are neither priced nor marketed. Resource managers may fail to take into account degradation of unpriced services in their resource management decisions. Being able to estimate values for ES is fundamental to designing policies to induce resource users to provide (or improve) ES at levels that are acceptable to society. Conducting ecosystem valuation via non-market methods is costly and time consuming. Benefit Transfer (BT) using choice modeling (CM) is a potentially cost-effective method for valuing ES by transferring information from existing valuation studies (and study sites) to a target area of interest (policy sites). The prime objective of this paper is to examine the validity of BT and hence whether it is feasible to... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Benefit transfer; Choice modeling; New Zealand winegrowing; Ecosystem services. |
Ano: 2009 |
URL: http://purl.umn.edu/48189 |
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Jiang, Yong; Swallow, Stephen K.; McGonagle, Michael P.. |
Benefit transfer has been an important, practical policy tool appealing to government agencies, especially when time or budget is constrained. However, the existing literature fails to support convergent validity of benefit transfer using the stated-preference method. This empirical study examines the convergent validity of benefit transfer using the choice modeling method, a potentially promising technique compatible with the heterogeneity of the transfer contexts. Based on a survey designed for Rhode Island (RI) and modified only slightly for Massachusetts (MA), regarding coastal land management, four convergent validity tests were conducted on the benefit transfer from RI to MA. Although results fail to support convergent validity in all aspects, the... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Benefit transfer; Contingent choice method; Choice experiment; Convergent validity; Land management; Land Economics/Use. |
Ano: 2004 |
URL: http://purl.umn.edu/20040 |
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Registros recuperados: 16 | |
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