30.3 Impacts of the Tsunami on Possessions and Productive Materials
practiced in this area provide food in addition to income; people practicing these occupations are hurt both in terms of monetary income and food. Other occupations were impacted because productive materials
were literally washed away by the water that inundated the villages. For example, one respondent was a seamstress prior to the tsunami but her sewing machine and all of her tools and materials were washed
away. She now has to save enough money to begin to rebuild her practice but because she has lost her machine, she needs to find a new occupation, or another way to access necessary tools to sew, in order to
begin the rebuilding process. An additional impact is indirect. Many households are saving as much as possible in order to invest in materials necessary for practicing their former occupations, but because of
this, they are less likely to spend money on things that are not absolutely necessary. To continue with the example above, the woman who wants to start a new occupation in order to buy a sewing machine will not
be likely to save much by continuing as a seamstress for example, by hand because other villagers are less likely to hire her for her expertise. Therefore, the community as a whole will recover more slowly than if
residents were able to resume their former livelihoods with the necessary tools. 4. Current Occupations
4.1 Introduction Occupations are a very important aspect of social structure as well as an indicator of the relative importance
of different components of the coastal resource. During recovery efforts, an accurate description of occupational distribution is essential to determine options for livelihood rehabilitation projects. Scale,
working group size and level of occupational multiplicity can provide additional information for use in designing recovery projects. Occupational multiplicity exists when a given individual or household
practices two or more income or subsistence-producing activities. This is often a characteristic of coastal communities, especially in rural areas. Secondary data is often an inadequate source of information
concerning occupations, since most published statistics only include the full-time or primary occupation. The only way to more accurately represent the distribution and relative importance of these activities is
with the use of a sample survey Pollnac and Crawford, 2000.
In order to provide an accurate description of livelihood distribution, we surveyed 251 households in the five village sites. The respondents, either the female or male head of household, were asked to rank
livelihood activities by priority as they contribute to household income andor subsistence. 4.2 Current Occupations
Fishing is the most important and the most common livelihood in each of the villages except for Village 3. Trading and farming are relatively more common in Village 3 because it is the center of commercial
activity. Overall, the villages show occupational multiplicity to be the norm for households in the sample. Two of the five villages had at least one household rank six or more activities and over half of the
households in the survey listed more than one activity.
According to Table 15, the most important occupation among the
surveyed households in Village 1 is fishing 81.5 percent, with over half of
the households 51.2 percent listing this as the highest ranked occupational
activity. Farming 30.2 percent, livestock 32.7 percent and labor 34.9
percent all contribute significantly to income generation for this village with
about one-third of the surveyed households ranking these three
occupations. Trading is identified by a relatively small percentage 16.3 percent. The remaining 4.6 percent are engaged in making soap for sale in the village and distributed to a small city, Kuraburi, nearby
for sale to tourists.
Table 15. Percent distribution of Village 1 Occupations by rank
Activity 1st
2nd 3rd
4th 5th 6th 7th
Total
Fishing 51.2
25.6 4.7
- -
- -
81.5 Aquaculture
- -
- -
- -
- 0.0
Farming 9.3
9.3 7.0
2.3 2.3
- -
30.2 Livestock
4.7 14.0
9.3 4.7
- -
- 32.7
Trading 9.3
4.7 2.3
- -
- -
16.3 Tourism
- -
- -
- -
- 0.0
Labor 20.9
7.0 7.0
- -
- -
34.9 Taxi
- -
- -
- -
- 0.0
Other1 2.3
2.3 -
- -
- -
4.6 Other2
- -
- -
- -
- 0.0
Total 97.7