The Joint Philippines - Indonesia Workshop
39 Success can be measured in a variety of ways using biological, socioeconomic, attitudes
and beliefs perceptions and governance factors. The simplest analysis would be to dichotomize sites into successful and unsuccessful sites and compare them in terms of the
independent variables. Depending on the final number of sites surveyed as well as the quality and availability of information obtained on the sites, more sophisticated analysis
may be conducted. Sites may be ranked such as very successful, moderately successful, not successful, etc. or factor analyzed using a number of dependent and independent
variables. Another type of analysis the project hopes to undertake will be to look at how different groups perceive success. For instance, a government official or scientist may
view a decrease in the rate of reef degradation as successful, whereas a fisher may only consider it successful if he or she perceives an increase in fish catch.
The purpose of these analyses are to determine which independent factors are more significant than others in determining success, or under what conditions are some factors
more important than others. The field research report, where possible, will try to provide short examples of how these factors have played out at actual sites surveyed. It is
expected that this study will help verify, or not verify, success factors found in the literature and proposed by the experts in the focus group sessions. The goal is to be able
to provide better advice to individuals and institutions engaged in replicating marine sanctuaries in other locations, either in the Philippines and Indonesia, as well as to have a
higher level of certainty concerning the advice that is given. Up until recently, most conclusions concerning success factors has been based on a small number of case studies
or on the collective wisdom and experiences of coastal management professionals. However, there is a growing body of coastal management literature, which attempts to
apply more systematic and quantitative methods over a large number of sites. To our knowledge, this is the first time this approach will be applied specifically to CB-MS.