Publications
General Equilibrium Ecological Model in Practical Use (Advisor: John T. Tschirhart)
Abstract
The research presented in this dissertation is guided by the question of how to
improve the General Equilibrium Ecological Model (GEEM) as a realistic population
model, and how to incorporate GEEM in a dynamic resource management model.
The first part of this dissertation (Chapter 2) extends GEEM from an 8 to a
13-species marine system with multiple predator-prey relations, and provides
simulations of the ecosystem dynamics under various influences, especially human
activities. Functional and numerical responses in GEEM as a population model are
also derived and discussed.
The second part of the dissertation (Chapter 3 and 4) addresses the application of
GEEM in economic models, including deriving a reduced form of GEEM (R-GEEM)
so that the variables from GEEM can be easily integrated with the economic model,
and applying R-GEEM to dynamic optimization problems with multiple species
harvesting and endangered species protection plans.
You can download my dissertation by clicking here.
Finnoff, Gong, and Tschirhart. “Develop an Integrated Regional Economic-Ecological
Model of Alaska Fisheries.” Final Report to Alaska Fisheries Science Center, Pacific States Marine Fisheries Commission. Nov., 2005.
Finnoff, Gong, and Tschirhart.Joint Determination to Assess the Economic Importance of Ecosystem Services.AERE Summer Workshop, Mystic, Connecticut, June, 2007. This paper is downloadable from the AERE website.
Other Working papers
Interview Effects in Environmental Surveys (with David Aadland)
Abstract
We investigate whether interview effects are present during willingness-to-pay
(WTP) surveys for environmental goods. The existence of interview effects, especially those
related to the race and gender of the interviewer, has been well documented for a variety of
survey topics. Environmental valuation surveys, due to the limited experience agents
typically have with environmental goods, are prime candidates for interview effects. We test
for interview effects using a survey of recycling behavior administered to over 4000
households. The dataset includes a rich variety of interview and household characteristics,
which we interact to isolate the type of households and interview variables that are most
prone to interview effects. The estimates support the hypothesis that interview characteristics
have a direct effect on respondents’ WTP for recycling services.
You can download this paper by clicking here.
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