An institutional analysis of sasi laut in Maluku, Indonesia



Table 16.8. Economic status of fishers in case study villages. Economic score=adding land ownership,
house, boat, type of gears and TV (see Section 2.5.3). Minimal housing=made of light materials
such as sago palm thatch; Low=made of light materials plus wood or lumber; Medium=combination
of lumber and concrete with thatch roofing; High=made of concrete and metal roof.

Nolloth

Haruku

Tuhaha

Hulaliu

Seri

Hutumuri

Average Economic score

8.47

8.70

9.27

9.10

8.81

10.35

Standard deviation

2.22

2.47

2.12

2.22

1.64

2.59

% of sample with external income

26.7

33.3

26.7

36.7

6.9

13.8

Average external income/year (in Rp)

263,750

343,500

596,250

485,730

775,000

1,585,000

Average external income/year
(in USD, early 1997 exchange rate)

10,550

13,740

23,850

19,429

31,000

63,400

Housing (% of fishers in each category)

Minimal

20%

17%

7%

3%

0%

3%

Low

20%

23%

7%

13%

7%

24%

Medium

13%

30%

30%

7%

21%

14%

High

47%

30%

56%

77%

72%

59%

Possible explanations for the lower economic score of the sasi villages include the limited access
that fishers have over the resources, which reduces individual benefits. This is the case where
the benefits from
sasi are spent for village development in general (Nolloth) or re-distributed
among all villagers (Haruku). Besides, the
sasi villages have no large-scale fishing gears (lift
nets and FADs) which provide high individual benefits but are intensive and generally seen as
destructive. On the other hand, the difference may have more to do with access to markets
(distance, infrastructure) or the relatively advanced age of the
sasi village fishers (Table 16.2).

Hutumuri has no restrictions on the fishery at all. Our fishers’ sample in Hutumuri included
approximately half of all the lift net
/FAD owners interviewed and this could explain why the
average economic score is high.

16.4.3 Job satisfaction

In all villages, most fishers are highly satisfied with their jobs. The general positive answers
included “I like my job”, “It is in my blood” and “It is my hobby”. Most fishers (87%) in the
sample from the six villages report that they would still become fishers if they had their life
to live over. However, most fishers acknowledged the dangers and insecurity associated with
fishing. When asked if they would change occupations if an alternative were available, 36%
said “yes”. This varies a great deal across the villages, however, from a low of 20% in Hutumuri
and Nolloth to a high of 54% in Seri (Table 16.9). The most likely reason to change was if they
could find something more profitable. The differences between the six villages are statistically
significant (p<0.02).

Table 16.9. Job satisfaction in case study villages.

Job satisfaction

(in % of fishers’ sample)

Nolloth

Haruku

Tuhaha

Hulaliu

Seri

Hutumuri

Are satisfied with their job

86

83

97

80

86

89

Would change job if they could

20

43

31

50

54

20

Want job for children: in fishery
as government official

18

7

7

10

4

8

61

68

73

72

75

28

Comparative Analysis of Case Study Villages 219



More intriguing information

1. The name is absent
2. The name is absent
3. Structural Conservation Practices in U.S. Corn Production: Evidence on Environmental Stewardship by Program Participants and Non-Participants
4. Effects of red light and loud noise on the rate at which monkeys sample the sensory environment
5. SLA RESEARCH ON SELF-DIRECTION: THEORETICAL AND PRACTICAL ISSUES
6. The name is absent
7. Non-causality in Bivariate Binary Panel Data
8. The name is absent
9. Langfristige Wachstumsaussichten der ukrainischen Wirtschaft : Potenziale und Barrieren
10. Temporary Work in Turbulent Times: The Swedish Experience
11. The Role of State Trading Enterprises and Their Impact on Agricultural Development and Economic Growth in Developing Countries
12. WP 36 - Women's Preferences or Delineated Policies? The development or part-time work in the Netherlands, Germany and the United Kingdom
13. Who runs the IFIs?
14. Government spending composition, technical change and wage inequality
15. Placenta ingestion by rats enhances y- and n-opioid antinociception, but suppresses A-opioid antinociception
16. Forecasting Financial Crises and Contagion in Asia using Dynamic Factor Analysis
17. SOME ISSUES IN LAND TENURE, OWNERSHIP AND CONTROL IN DISPERSED VS. CONCENTRATED AGRICULTURE
18. The name is absent
19. Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities
20. Governance Control Mechanisms in Portuguese Agricultural Credit Cooperatives