Organization member shows positive relation to the total income. Being involved in any organization will increase the total income by Rp12.5 million per
period, ceteris paribus, significant at 99 percent confidence interval. If one joined any organization then he would get access to information and a better opportunity
to cooperate with other parties that could be beneficial for increasing his income.
Table 17 Sea Farming Impacts on Household Income
Variables Coefficients
T P|t|
A. Household Characteristics
Age years -347216.6000
-2.0400 0.0460
Education 10 789456.8000
0.1500 0.8800
Organization Member 10 1.25e+07
2.8700 0.0050
B. Household Assets Ownership
Mobile Phone Ownership After 2010 unit 4203126
2.8700 0.0050
Boat Ownership After 2010 unit 4109026
1.2500 0.2150
C. Sea Farming
Sea Farming Participation 10 1.46e+07
3.4900 0.0010
Constant
2.55e+07 3.6200
0.0001
Summary Statistics
Model Test F-test 4.1200
Prob F 0.0014
R
2
0.2635 Adjusted R
2
0.1995 Root MSE
1.5e+07 Number of Observations
76 Source: own calculation
Notes: Significant at 10 percent level; significant at 5 percent level; significant at 1 percent level.
The number of observations is reduced into 76 households due to missing value on variable mobile phone ownership after 2010.
On the second group, both mobile and boat ownership have positive relationship with total income. One unit increase in mobile phone ownership
would increase the total income by Rp4.2 million per period, ceteris paribus, significant at 99 percent confidence interval. This shows that mobile phone
ownership is important for those who live in rural coastal area as its mobility is lower compared to those who live in the urban and mainland area. Although
mobile phone is not necessarily used for internal communication between one person with other persons who live in the same island, mobile phone ownership
would be beneficial for external communication. It could be used as means to engage in any productive and profitable activities, as well as obtaining market
opportunity from the external market.
Surprisingly, boat ownership is not significant though has positive relationship with the total income. Nevertheless, this result is consistent with the
first model estimation ’s result which also shows boat ownership is not significant
in influencing the sea farming participation. The authors suspect that insignificant relation between boat ownership and total income is caused by the size of
respondents’ boats that are not big. Thus, its fishing productivity is not high. The data shows that the boat size of
the respondents’ owned are ranged from 2 quintals to 7 GT.
