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Cesar2000-Economics of Coral Reefs.pdf

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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 />

179

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