An Environmental Trading Ratio for Water Quality Trading

2011 ◽  
Vol 54 (5) ◽  
pp. 1599-1614 ◽  
Author(s):  
M. Lee ◽  
K. R. Douglas-Mankin
Keyword(s):  
Water Quality ◽  
Water Quality Trading ◽  
Trading Ratio

Water Quality Trading in the Presence of Conservation Subsidies

2020 ◽  
Vol 96 (4) ◽  
pp. 552-572
Author(s):  
Patrick M. Fleming ◽  
Erik Lichtenberg ◽  
David A. Newburn
Keyword(s):  
Water Quality ◽  
Water Quality Trading

Water Quality Trading in the Presence of Existing Cost Share Programs

2019 ◽  
Author(s):  
Patrick Fleming ◽  
Erik Lichtenberg ◽  
David Allen Newburn
Keyword(s):  
Water Quality ◽  
Cost Share ◽  
Water Quality Trading

WATER QUALITY TRADING PROGRAMS TOWARDS SOLVING ENVIRONMENTAL POLLUTION PROBLEMS

2013 ◽  
Vol 62 (S2) ◽  
pp. 72-92 ◽  
Author(s):  
Juliana Corrales ◽  
G. Melodie Naja ◽  
Rosanna. G. Rivero ◽  
Fernando Miralles-Wilhelm ◽  
Mahadev G. Bhat
Keyword(s):  
Water Quality ◽  
Environmental Pollution ◽  
Water Quality Trading

A System Dynamics Approach to Changing Perceptions about Thermal Water Quality Trading Markets

2010 ◽  
Vol 1 (3) ◽  
pp. 1-12
Author(s):  
Asmeret Bier
Keyword(s):  
Water Quality ◽  
System Dynamics ◽  
Point Source ◽  
Thermal Water ◽  
Policy Design ◽  
The United States ◽  
Environmental Benefits ◽  
Shade Trees ◽  
Dynamics Modeling ◽  
Water Quality Trading

Thermal water quality trading markets give point source thermal polluters the option to comply with effluent restrictions by paying nearby landowners to plant shade trees. The shade trees cool the water, offsetting thermal pollution emitted by the point source. Thermal trading has the potential to create greater environmental benefits at a lower cost than traditional regulation, however; only one such program has been implemented to date in the United States. In this regard, a shift in potential stakeholders’ perceptions of these markets could be useful in allowing the markets to spread. This paper explains why system dynamics modeling is a useful tool for creating such a shift in perception, and describes a method of teaching participants about thermal trading. The method begins with a classroom simulation exercise, uses lessons from that exercise to create a model of a thermal trading market, and uses that model to conduct policy design and uncertainty analyses.

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