Pond aquaculture performance over time: A perspective of small-scale extensive pond farming in Bangladesh
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The continuous growth of the aquaculture sector has motivated numerous empirical studies investigating farm productivity and technical performance over time. However, empirical works focusing on low-value species in developing countries are scarcer due to the lack of data. This paper investigates the sources of productivity changes over time using a meta-frontier Malmquist productivity index. The dataset contains 2,100 observations in an unbalanced panel data set for pangas and tilapia in Bangladesh. The results indicate that the overall productivity index and its components increase over time but at a decreasing rate. The technology change effect has the largest impact, followed by technical efficiency change. The scale effects are less than one, indicating that farms are scale inefficient. Nevertheless, the convergence toward the technology frontier seems to level off due to a declining ability to minimize the efficiency change and technological change gaps over time. The results also show a larger disparity among the farms in recent years, lowering the mean technical efficiency, with a few farms driving the frontier outward and the average farms lagging.
|Journal||Aquaculture Economics and Management|
|Number of pages||23|
|Publication status||E-pub ahead of print - 7 Oct 2021|
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- C43, D24, Data Envelopment Analysis (DEA), efficiency change, Malmquist index, meta-frontier, O33, O47, Q10, Q22, unbalanced panel data