The Next Generation of Market-Based Environmental Policies

We examine what will be required if market-based environmental policy instruments are to become a major force in U.S. environmental policy. We define market-based instruments, and specify five categories: pollution charges; tradable permits; deposit refund systems; reducing market barriers; and eliminating government subsidies. We review major U.S. applications, including: EPA's emissions trading program; the leaded gasoline phasedown; water quality permit trading; CFC trading; SO2 allowance trading; and the RECLAIM program. We assess the U.S. experience in terms of the relatively limited use of these instruments and in terms of the mixed record of performance of implemented instruments. We ask how the next generation of market-based instruments can be advanced, focusing on four sets of approaches: improving program design; applying market-based instruments on the state level; implementing new Federal programs; and addressing long-term issues. We conclude with a brief prognosis of the likely future role of market-based instruments in U.S. environmental policy.

The evolutionary biology of pollination: studies in a genus of australian sexually deceptive orchids

There are few other structures in nature from which evolution has generated such wide diversity as the flower or inflorescence, and this diversity is commonly attributed to the influence of their animal visitors. By outsourcing their mate choice to pollinators, plants have left themselves - and especially their flowers - subject to the selective forces imposed by the behaviour, cognition and perception of the pollinators that serve them. The orchids provide some of the most remarkable and extreme examples of adaptations to specific animal pollinators. Perhaps one of the most peculiar of these strategies is sexual deception, whereby male insects are lured to the flower by mimicry of the female sex pheromone. This seemingly unlikely strategy has evolved multiple times independently on different continents in different parts of the orchid phylogeny which raises the question of what adaptive advantages might underlie such a strategy. This multidisciplinary thesis studies gene flow and pollinator behaviour in two sympatric sexually deceptive orchids in the genus Chiloglottis. The two species attract their specific wasp pollinators through emission of distinct species - specific semiochemicals. Since floral volatiles play a pre-eminent role in pollinator attraction, Chiloglottis provides an excellent case study for examining the interaction between floral volatile chemistry, pollinator behaviour and the evolutionary dynamics of populations. The thesis begins with a review of floral volatiles and their role in pollinator attraction and plant speciation. The literature is used to develop a research framework of six testable hypotheses under which we might productively explore the influence of floral volatiles on plant evolution. These hypotheses are then explored in the study system over the following chapters. A study of pollinator specificity, neutral genetic differentiation and floral chemistry demonstrates that the chemical mimicry crucial to sexual deception is responsible for reproductive isolation and potentially even speciation. Mating system and paternity analysis provide the first genetic evidence for multiple paternity in orchid broods. Extensive outcrossing is found to predominate and paternity assignment shows evidence for long distance pollen flow supporting the hypothesis that sexual deception promotes outcrossing and so minimizes the potentially deleterious effects of selfing. Lastly, an innovative new method is developed for tracking wasps in the field. Application of this technique to a population of orchid-pollinating wasps reveals detailed information about their movement and mating behaviour. The findings support the conclusion that sexual deception is a superb adaptive solution to the problem flowers face of simultaneously attracting pollinators and persuading them to leave quickly

The Economic Value of Marine Recreational Fishing: Analysis of the MRFSS 1998 Pacific Add-on

Marine Recreational Fishing Statistics Survey (MRFSS) economic add-on data has been collected since 1994. The data are comprised of two geographically identical datasets for the Southeast region (1997, 2000), five identical datasets for the Northeast region (1994, 1996, 1997, 1999, 2000), and one dataset for the Pacific region (1998). Measures of the economic value of fishing sites and harvest have been derived from demand models estimated with data from the Northeast and the Southeast regions. In this paper we present a demand model estimated for the Pacific region (i.e., west coast). For consistency, the model is based on the 1994 and 1997 studies. Measures of the economic value of fishing sites and harvest are developed. We demonstrate how the model can be used for fisheries management decisions.

LMDA Review, volume 7, issue 1

Contents include: Changes at LMDA, Script Exchange, Minutes from LMDA Meeting June 26, 1995, 1995 Conference Rehash, Toronto Conference News, New Regional Divisions Proposed, Excerpts from Robert Whitehead\u27s Keynote Address, and Check it out.https://soundideas.pugetsound.edu/lmdareview/1012/thumbnail.jp

Angler Heterogeneity and the Species-Specific Demand for Marine Recreational Fishing

In this study we assess the viability of single-species recreation demand models given commonly available data sets. Using the 2000 MRFSS southeast intercept data combined with the economic add-on, we determine that the MRFSS data will support only a few species-specific recreation demand models. Considering species of management interest in the southeast, we focus on dolphin, king mackerel, red snapper and red drum. We examine single-species recreational fishing behavior using random utility models of demand. We explore mixed logit (i.e., random parameter) logit and finite mixture (i.e., latent class logit) models for dealing with angler heterogeneity. We compare these to the commonly used conditional and nested logit models in terms of the value of catching (and keeping) one additional fish. Mixed logit models illustrate that the value of catch can be highly heterogeneous and, in some cases, can include both positive and negative values. The finite mixture model generates value estimates that were some times strikingly different than conditional, nested and mixed logit models. Preference heterogeneity is significant within the MRFSS data. We find evidence that single-species models outperform multiple species models and recreational values differ. Key Words: marine recreational fishing, single-species demand, preference heterogeneity models

Corporate global nomadism: the role of the transnational professional as consumer of popular management discourses.

An increasing body of research has paid particular attention to the role of different organizational actors in the consumption of popular management ideas, including their local diffusion, adaptation and enactment. However, with a few exceptions, these studies mostly focus on the organizational setting, thus neglecting the consumption of these kinds of discourses in other environments. Drawing on narrative analysis, this study follows this line of research by examining the ways in which a category of transnational professionals perceive and represent the discourse of corporate 'global nomadism' as part of their everyday life. This article contributes to management education by providing a critical approach to the ambiguous experiences involved in the 'nomadic' lifestyle that generally conflict with the idealized and glamourous views of corporate global mobility. In this way, a more rounded, critical and ultimately ethical type of management education for transnational mobility can be produced than currently is the case

Formalization of the General Video Temporal Synchronization Problem

In this work, we present a theoretical formalization of the temporal synchronization problem and a method to temporally synchronize multiple stationary video cameras with overlapping views of the same scene. The method uses a two stage approach that first approximates the synchronization by tracking moving objects and identifying curvature points. The method then proceeds to refine the estimate using a consensus based matching heuristic to find frames that best agree with the pre-computed camera geometries from stationary background image features. By using the fundamental matrix and the trifocal tensor in the second refinement step, we improve the estimation of the first step and handle a broader more generic range of input scenarios and camera conditions. The method is relatively simple compared to current techniques and is no harder than feature tracking in stage one and computing accurate geometries in stage two. We also provide a robust method to assist synchronization in the presence of inaccurate geometry computation, and a theoretical limit on the accuracy that can be expected from any synchronization syste