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tribution <strong>of</strong> benefits is one <strong>of</strong> the most important causes<br />
<strong>of</strong> intra-village conflict. The results <strong>of</strong> the econometric<br />
analysis also confirmed the earlier finding that ‘national<br />
rules adopted locally’ have significantly higher perceived<br />
compliance than either purely national or local rules.<br />
The analysis failed to detect significant differences between<br />
the perceived compliance with purely national or<br />
purely local management rules.<br />
The ‘inability to exclude outsiders’ variable was puzzling<br />
at first. Since there is a nearly perfect correlation between<br />
open access and Tonga sites, the characteristics <strong>of</strong><br />
open access sites are captured by the Tongan dummy<br />
variable. Open access sites appear therefore to have<br />
worse perceived threat trends than sites with restricted<br />
access, which is consistent with empirical evidence. In<br />
restricted access sites, however, the results appear to indicate<br />
that the less capable the village is in excluding<br />
outsiders, the better the perceived compliance. One explanation<br />
for this is that the variable is not continuous.<br />
When decomposed into its underlying categories, it shows<br />
that where decisions to include or exclude outsiders are<br />
made at a level above the village — e.g., by paramount<br />
chiefs in Fiji — sites tend to have significantly worse<br />
perceived compliance. This is consistent with village reports<br />
in Fiji that non-resident paramount chiefs occasionally<br />
grant licenses to outside fishers, an action that is<br />
viewed negatively by the resident community (and<br />
which may lead to a perceived higher level <strong>of</strong> violations).<br />
Population growth rates (‘population pressure’) did<br />
not seem to affect perceptions <strong>of</strong> success. The results<br />
seemed to indicate, however, that the higher the population<br />
density, the lower the perceived threats. This may<br />
be due to the fact that population density may be capturing<br />
other site characteristics, as sites with high population<br />
density tended to also have undeveloped fishing<br />
technology. When technology was accounted for in the<br />
model, population density became no longer significant.<br />
4. DISCUSSION<br />
The study was experimental in both its application and<br />
content. Being the first <strong>of</strong> its kind in the Pacific Islands,<br />
there was no way to know which questions would work<br />
best in the socio-economic context <strong>of</strong> the sites. The<br />
limited empirical knowledge on factors affecting the<br />
success <strong>of</strong> coastal resource management also forced the<br />
study team to collect a large number <strong>of</strong> factors, with<br />
little guidance as to which might be most important.<br />
In the absence <strong>of</strong> baseline data and a common intervention<br />
across the sites, it was inherently difficult to<br />
prove a cause-effect relationship between success factors<br />
and perceptions <strong>of</strong> success. Many <strong>of</strong> the policy and process<br />
factors collected initially were endogenous: it was<br />
difficult to know whether, for example, perceived CpUE<br />
trends had improved because <strong>of</strong> government support to<br />
a site, or whether government support was provided to<br />
sites with mostly poor (or good) trends. The same difficulty<br />
in explaining causality arose with such important<br />
factors as the presence <strong>of</strong> an external partner, conflicts,<br />
dependence on resources, and most policy explanatory<br />
factors. The study team attempted to deal with two key<br />
endogenous variables — government support and dependence<br />
on resources — by estimating a two-stage least<br />
squares model, in which the endogenous variables were<br />
regressed against a set <strong>of</strong> instrumental variables otherwise<br />
unrelated to perceived success. This model, however,<br />
resulted in imprecise estimates and no conclusions<br />
could be drawn on the impact <strong>of</strong> these variables on<br />
perceived coastal management success (World Bank<br />
2000a).<br />
While perceptions were stated over a ten-year period,<br />
most explanatory variables reflected conditions at the time<br />
<strong>of</strong> the survey. It was assumed that conditions had not<br />
changed significantly during this period. This is not an<br />
unreasonable assumption about many <strong>of</strong> the socio-cultural<br />
and ecological characteristics <strong>of</strong> the sites, but it may<br />
be more problematic for other variables included in the<br />
analysis. In addition, some inherent site characteristics explaining<br />
variations in the stated perceptions may have not<br />
been captured by the survey. While the study attempted<br />
to deal with these constraints as far as possible, they<br />
should be kept in mind when interpreting the results.<br />
Within the above constraints, the study methodology<br />
worked surprisingly well. Initial fears that the communi-<br />
A COMPARATIVE STUDY OF SOCIO-ECONOMIC AND MANAGEMENT ISSUES RELATED TO COASTAL RESOURCES IN THE PACIFIC ISLANDS<br />
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