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4: Fishing households and active fishers in Puttalam and Trincomalee districts, 2004-2016

4: Fishing households and active fishers in Puttalam and Trincomalee districts, 2004-2016

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Book
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Every southwest monsoon, men and women from the west coast fishing villages migrate to east coast villages, leaving their homes and their children and their school-age children behind with kin. This monograph is an exploration of the motivations and aspirations that drive an internal process of seasonal fisheries migration. It focusses on the gende...

Contexts in source publication

Context 1
... the importance of inland fisheries and aquaculture has been growing, marine fisheries are predominant, contributing 86.1% to Sri Lanka's fish production in 2016 (MFARD 2018). The marine fish catch has grown markedly since the pre-war years, more than two-fold between 1983 and 2014, after plummeting in 2005 due to the tsunami (see Figure 2.1). This continuous increase in production was despite the depletion of marine resources that has been reported worldwide, including in the coastal waters around Sri Lanka by researchers. ...
Context 2
... marine fisheries production reached a peak in 2014 in Sri Lanka as a whole, In terms of our study districts, Puttalam is the largest fish-producing district in Sri Lanka, bringing in 16.2% of the total national fish catch, while Tricomalee district contributes to 5.7% of the catch. Marine fish production has risen by 2.9 times in Puttalam, compared to 1.8 times in Trincomalee within the 1983-2016 period (see Figure 2.2). The significant drop in production in both districts in 2005, as elsewhere in Sri Lanka, was due to the tsunami of 2004. ...
Context 3
... district between 2004-2015, before the slight decline in 2016 (see Figure 2.4). During the same period, active marine fishers and fishing households had increased at much lower rates (1.3-fold and 1.1-fold respectively) in the Puttalam district, before declining even further in 2016. ...
Context 4
... inequality in the west and east coast villages was also assessed using consumption data from the HH Survey 2017. The analysis suggests that consumption inequality is considerably higher in the west coast villages relative to that of the east coast villages (see Table 7 The kernel density estimation of per capita household consumption in Figure 7.2 showing the distribution of per capita consumption in the two locations presents a more complete picture. This is because while the statistics in Table 7.2 are summary measures of inequality only and do not reveal the spread and concentration of households along the entire distribution, kernel density estimates of real per capita household expenditure in the two sites graphically present the distribution of income on the west and east coasts. ...

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