Choice modeling: assessing the non-market environmental values of the biodiversity conservation of swamp forest in Vietnam
Huynh Viet Khai
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Mitsuyasu Yabe
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M. Yabe Laboratory of Environmental Economics, Department of Agricultural and Resource Economics, Faculty of Agriculture, Kyushu University
, Hakozaki 6-10-1, Higashi-ku, Fukuoka 812-8581,
Japan
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H. V. Khai (&) Agricultural,
Resource and Environmental Economics, School of Economics and Business Administration, Can Tho University
, Can Tho,
Vietnam
The study investigated the economic value of biodiversity attributes that could provide policy makers reliable information to estimate welfare losses due to biodiversity reductions and analyze the trade-off between biodiversity and economics. To obtain the non-market benefits of biodiversity conservation, an indirect utility function and willingness to pay for biodiversity attributes were applied using the approach of choice modeling with the analysis of multinomial logit model. The study found that Mekong Delta residents accepted their willingness to pay of VND 913 monthly for a 1 % increase in healthy vegetation, VND 360 for an additional mammal species and VND 2,440 to avoid the welfare losses of 100 local farmers.
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The wetlands in the Mekong Delta, the largest wetlands in
Vietnam, have great biodiversity. They support a large
number of herons, egrets, stocks, ibises and some rare
species such as sarus cranes, black-necked storks, lesser
adjutants and great adjutants. Especially, there are 14
globally threatened bird species among 194 bird species
living in the mature semi-natural Melaleuca forest and
seasonally inundated grasslands of the Mekong Delta.
Conservation of Mekong Delta wetlands is beneficial not
only for Vietnam, but also for the world. For instance, in
the wetlands there are a lot of unknown flora and fauna,
microorganisms and genetic resources that are expected to
contribute to the future development of new medicines or
coenzymes necessary for biochemical reaction.
However, the Mekong Delta has faced problems of
much environmental pollution and an increase in wetland
destruction due to the rapid development of industries.
Recently, the wetlands in the Mekong Delta have
experienced serious biodiversity losses and degradation. For
instance, the numbers of endangered species in Tram Chim
National Park, one of the largest national wetland parks,
have rapidly reduced from 1,057 in 1987 to 93 in 2005
[12]. In addition, the losses of wetland biodiversity also is
due to an increase in shrimp farming, the conversion of
wetlands to agriculture and construction land, war
destruction and excessive fuel wood collection [12]. To
prevent the biodiversity losses and degradation, the local
authorities have proposed plans to use public funding to
improve the protection of biodiversity. However, up to now
there is little information on the values of biodiversity as
well as studies on nature and biodiversity conservation in
Vietnams literature. Thuy [24] conducted a study on the
willingness to pay for the conservation of Vietnamese
rhinoceros using contingent valuation method with five
bid-level questionnaires and estimated the mean WTP of
$2.5 per household. Environmental choice modeling was
applied by Do and Bennett [12] to identify the biodiversity
benefits of Tram Chim National Park. The study estimated
the total benefits of wetland conservation program to be
about $3.9 million.
Due to this information gap among residents, farmers and
policy makers, it is unclear to policymakers whether the
change in current management practices would generate net
social benefits. It is relatively easy to calculate the costs of
biodiversity conservation program, but hard to estimate the
benefits. The benefits or design of biodiversity policy could
be estimated by studying public preferences on conservation
program. However, this is complicated because of the
generally low level of awareness and understanding of what
biodiversity means on the part of the general public [9].
Moreover, although there are a lot of conservation activities
especially in biosphere reserves of the Mekong Delta
recognized by UNESCO, these are not strong or powerful
enough to enlarge or improve the quantity and quality of
biosphere reserves because of government budget constraint
or the low level of support from local residents and
authorities. Studies are needed to be done to answer the
question of whether more financial investments are worthy
for conserving biodiversity in these biosphere reserves. In
this paper, using the approach of a choice modeling to
estimate the economic values of the proposed biodiversity
conservation program in U Minh Thuong National Park, one
of the largest peat swamp forests in Vietnam, the study might
partly seek to answer the question and also provide policy
makers and concerned people more information about
residents attitudes toward environment and natural resources as
well as the benefits of biodiversity conservation.
The paper is structured as follows. The next section
describes the methodology and data collection including
the parts of choice modeling technique; study area and
conservation fund; survey and questionnaire design; and
model specification. The following section reports the
discussion results of a choice modeling analysis. The final
section concludes the paper.
Choice modeling technique
Choice modeling (CM) technique has been recently paid
much attention by economists. This approach was first
developed by Louviere and Hensher [15] and then
popularly applied in the fields of marketing, transportation and
tourism [7, 21]. The CM method was originally developed
from conjoint analysis, but differed from typical conjoint
methods in terms of asking respondents to select one
alternative from choice sets of attributes instead of ranking
or rating them. Because of its consistency with random
utility theory (RUT), CM has been used to estimate the
passive use values of environmental goods [1].
Unlike the contingent valuation method that aims to
value a specific trade-off, the CM technique needs
respondents to select only one resource use option from
each of some sets of multiple resource use options [5]. The
method of CM identifies a function of the attributes and
labels to predict respondents choice behavior [23]. The
choice experiment method is developed from Lancasters
theory of consumer choice based on the behavioral
framework of RUT [17, 18]. RUT describes discrete
choices in a maximum utility and its function (Uij) is
assumed to form:
Uij Vij eij V Zij; Si e Zij; Si
where Vij is the systematic and deterministic component of
the latent utility for conservation management scenario
alternative j in choice set C; eij is the random and error
component [16]. The systematic component Vij could be
specified as a function of the vectors of conservation
management attributes Z which illustrate the alternative j
and social, economic and attitudinal characteristics S of the
respondent i. Since the component is random, choices
cannot be predicted certainly and perfectly. This leads (...truncated)