Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Matthew F. Bingham"'
Autor:
Matthew F. Bingham, Jason Kinnell
Nutrient loading and warming waters can lead to hazardous algal blooms (HABs). Policymakers require cost-effective valuation tools to help understand impacts and prioritize adaptation measures. This chapter evaluates the tourism impacts of HABs in We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a1eb235b97e6b7a753f9f63d0f1d186
http://www.intechopen.com/articles/show/title/the-tourism-impacts-of-lake-erie-hazardous-algal-blooms
http://www.intechopen.com/articles/show/title/the-tourism-impacts-of-lake-erie-hazardous-algal-blooms
Publikováno v:
Environmental Science & Policy. 60:53-62
Monetizing ecological benefits of reducing impingement and entrainment (I&E) at cooling water intake structures presents both ecological and economic challenges. Ecological challenges arise because it is difficult to demonstrate and measure these imp
Publikováno v:
The Electricity Journal. 29:62-71
For a ‘discrete choice experiment’ to gauge consumer preferences for alternative electric service plans, surveys were administered to over 1000 residences in 12 electricity markets. The resulting estimated choice function parameters provide insig
Autor:
Matthew F. Bingham, Jason C. Kinnell, Kristy E. Mathews, Colleen M. Spagnardi, Jennifer S. Whaley, Zhimin Li, Sara G. Veale
Publikováno v:
North American Journal of Fisheries Management. 31:257-268
Although many recreational anglers reside in urban areas, important policy questions, such as how to optimally improve urban shorelines and increase urban angler participation rates, are unresolved. This article presents an econometric model that qua
Autor:
Valerie A. Craven, Brent L. Finley, Matthew F. Bingham, Jason Kinnell, Elizabeth K. Hastings, Rose M. Ray
Publikováno v:
Journal of Toxicology and Environmental Health, Part A. 70:512-528
The results of an analysis of site-specific creel and angler information collected for the lower 6 miles of the Passaic River in Newark, NJ (Study Area), demonstrate that performing a site-specific creel/angler survey was essential to capture the uni
Autor:
Elizabeth K. Hastings, Matthew F. Bingham, William H. Desvousges, Jason Kinnell, Ateesha F. Mohamed, Karen T. Kuhns, Thomas B. Kiler
Publikováno v:
Land Economics. 82:257-272
This manuscript presents the results of a random utility model that estimates site choice decisions for urban recreators. The model uses data from residents in five northern New Jersey counties that contain some of the most densely populated areas in
Publikováno v:
Value in Health. 4:32-44
This paper presents a dynamic generalization of a model often used to aid marketing decisions relating to conventional products. The model uses stated-preference data in a random-utility framework to predict adoption rates for new pharmaceutical prod
Autor:
F. Reed Johnson, Matthew F. Bingham
Publikováno v:
Swiss Journal of Economics and Statistics. 137(I):49-63
Economists have long been faced with the challenge of valuing goods and services that are not traded in markets. A variety of multiple-response stated-preference (SP) methods, which evolved independently in the area of consumer market research, also
Autor:
Matthew F. Bingham, Jason Kinnell
© 2012 Bingham and Kinnell, licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and repro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::974b53ff4d3f6a929995ade610960277
https://doi.org/10.5772/50672
https://doi.org/10.5772/50672
Autor:
Matthew F. Bingham, Miranda Freeman, Jason Kinnell, Elizabeth A. Hastings, Valerie A. Craven, Rose M. Ray
Publikováno v:
Journal of toxicology and environmental health. Part A. 70(6)
The potential human health risks associated with consuming fish containing hazardous substances are related to the frequency, duration, and magnitude of exposure. Because these risk factors are often site specific, they require site-specific data. In