officials at a second workshop (July 1998). The conclusions were included in a policy brief
that defines the favorable political context for strengthening or revitalization of local fisheries
management institutions in the context of co-management in Indonesia (Sopacua et al. 1998).
2.4.3 IAF data analysis
The results of the structured interviews were put in a database and analyzed using SPSS.
Some of the attributes were grouped in order to construct comparable indicators for the six
villages. For example, responses to questions on ownership of land and material goods were
coded so that the lowest value represented the poorest condition and the highest value the
richest. An economic indicator for each respondent was then calculated by adding together
the coded responses for boat, gear and land ownership and type of housing (Table 2.9). For
case study sites, information on television ownership was collected and this was added to the
score for analysis of the six-village database only.
Averages (with standard error) and frequencies for socio-economic data were calculated
separately for each village. The significance of differences among villages was determined
using one-way analysis of variance and Duncan’s Multiple Range tests.
Table 2.9. Indicators used to quantify economic status of survey respondents.
|
Attribute |
Indicator |
Reply |
Score |
Notes |
|
Land owner |
Do you own land? |
no yes |
0 1 | |
|
Fishing gear |
What type of |
none hand line or spear set net FAD or lift net |
0 1 2 3 4 | |
|
Fishing boat |
Do you own a boat and |
neither |
0 1 2 |
Perahu is a small canoe |
|
Housing |
What type of housing? |
non-permanent |
1 2 3 4 |
1=sago walls, thatch roof 4=full cement walls and tin roof |
|
Television |
Do you own a TV? |
no yes |
0 1 | |
|
Maximum possible score |
12 | |||
The data from the performance survey were analyzed separately for each village using the
same procedure as that used on the larger data set of sasi and non-sasi villages (see Section
2.3). To examine the relationships between ladder survey responses and socio-economic
characteristics, the two sets of variables were entered into correlation analysis using the SPSS
Pearson’s Correlation Procedure.
The results of the semi-structured interviews conducted in each village were analyzed
according to the methods used in social science for qualitative data and compared with the
results of the performance study. The material was used to show and explain the similarities
and differences among study sites. The material was also used to explore the (social)
24 An Institutional Analysis of Sasi Laut in Maluku, Indonesia