The Extent, Dynamics, and Potential Predictors of Technical Efficiency and Capacity Utilisation in Small-Scale Fisheries in Oman
This paper investigates the extent, dynamics, and factors influencing technical efficiency (TE) and capacity utilisation (CU) in small-scale fisheries (SSF) using a two-stage data envelopment analysis (DEA) approach covering the period 2010–2012. A considerable extent of boat-level technical ineffic...
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Asian Fisheries Society
2021-03-01
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Series: | Asian Fisheries Science |
Online Access: | https://www.asianfisheriessociety.org/publication/downloadfile.php?id=1351&file=Y0dSbUx6QXpPRGczTURNd01ERTJNVGN4TkRZek5UVXVjR1Jt |
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author | MOHAMMED AL-SIYABI SHEKAR BOSE HUSSEIN AL-MASROORI |
author_facet | MOHAMMED AL-SIYABI SHEKAR BOSE HUSSEIN AL-MASROORI |
author_sort | MOHAMMED AL-SIYABI |
collection | DOAJ |
description | This paper investigates the extent, dynamics, and factors influencing technical efficiency (TE) and capacity utilisation (CU) in small-scale fisheries (SSF) using a two-stage data envelopment analysis (DEA) approach covering the period 2010–2012. A considerable extent of boat-level technical inefficiency, capacity underutilisation and scale inefficiency were evident. On average, TE and CU levels under the constant returns to scale (CRS) and variable returns to scale (VRS) models declined over time. The TE and CU scores of 2010 remained unaltered with the addition of ‘fishing time’ as an input to the model. The proportion of boats with unitary scale efficiency (SE) decreased from 26 % in 2010 to 12 % in 2012. The underutilisation rates of the inputs ‘crew’ and ‘fishing time’ ranged from 15.5 % to 31.6 % and 15.8 % to 28.6 %, respectively. Among the species category, the extent of excess capacity was 70 % to 156 % and 47 % to 119 % under the CRS and VRS models, respectively. The second-stage DEA results indicated that the explanatory variables ‘fishing location’, ‘catch per unit of effort’ (CPUE), ‘fuel costs’ and ‘crew share’ significantly influenced CU under the CRS model. In contrast, the significant influence of subsidies and other operating costs were noted under the VRS model. For the TE case, ‘age’, ‘education’, ‘subsidy’ and ‘CPUE’ were found to be significant under the CRS and VRS models. Other significant variables were found in the study under CRS and VRS models. Finally, the results from the descriptive and empirical analysis under the two-stage DEA model are discussed together with policy implications. |
first_indexed | 2024-12-18T14:00:43Z |
format | Article |
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institution | Directory Open Access Journal |
issn | 0116-6514 2073-3720 |
language | English |
last_indexed | 2024-12-18T14:00:43Z |
publishDate | 2021-03-01 |
publisher | Asian Fisheries Society |
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series | Asian Fisheries Science |
spelling | doaj.art-7165b55849194bea9b3f5b9acd7584912022-12-21T21:05:20ZengAsian Fisheries SocietyAsian Fisheries Science0116-65142073-37202021-03-0134110.33997/j.afs.2021.34.1.007The Extent, Dynamics, and Potential Predictors of Technical Efficiency and Capacity Utilisation in Small-Scale Fisheries in OmanMOHAMMED AL-SIYABISHEKAR BOSEHUSSEIN AL-MASROORIThis paper investigates the extent, dynamics, and factors influencing technical efficiency (TE) and capacity utilisation (CU) in small-scale fisheries (SSF) using a two-stage data envelopment analysis (DEA) approach covering the period 2010–2012. A considerable extent of boat-level technical inefficiency, capacity underutilisation and scale inefficiency were evident. On average, TE and CU levels under the constant returns to scale (CRS) and variable returns to scale (VRS) models declined over time. The TE and CU scores of 2010 remained unaltered with the addition of ‘fishing time’ as an input to the model. The proportion of boats with unitary scale efficiency (SE) decreased from 26 % in 2010 to 12 % in 2012. The underutilisation rates of the inputs ‘crew’ and ‘fishing time’ ranged from 15.5 % to 31.6 % and 15.8 % to 28.6 %, respectively. Among the species category, the extent of excess capacity was 70 % to 156 % and 47 % to 119 % under the CRS and VRS models, respectively. The second-stage DEA results indicated that the explanatory variables ‘fishing location’, ‘catch per unit of effort’ (CPUE), ‘fuel costs’ and ‘crew share’ significantly influenced CU under the CRS model. In contrast, the significant influence of subsidies and other operating costs were noted under the VRS model. For the TE case, ‘age’, ‘education’, ‘subsidy’ and ‘CPUE’ were found to be significant under the CRS and VRS models. Other significant variables were found in the study under CRS and VRS models. Finally, the results from the descriptive and empirical analysis under the two-stage DEA model are discussed together with policy implications.https://www.asianfisheriessociety.org/publication/downloadfile.php?id=1351&file=Y0dSbUx6QXpPRGczTURNd01ERTJNVGN4TkRZek5UVXVjR1Jt |
spellingShingle | MOHAMMED AL-SIYABI SHEKAR BOSE HUSSEIN AL-MASROORI The Extent, Dynamics, and Potential Predictors of Technical Efficiency and Capacity Utilisation in Small-Scale Fisheries in Oman Asian Fisheries Science |
title | The Extent, Dynamics, and Potential Predictors of Technical Efficiency and Capacity Utilisation in Small-Scale Fisheries in Oman |
title_full | The Extent, Dynamics, and Potential Predictors of Technical Efficiency and Capacity Utilisation in Small-Scale Fisheries in Oman |
title_fullStr | The Extent, Dynamics, and Potential Predictors of Technical Efficiency and Capacity Utilisation in Small-Scale Fisheries in Oman |
title_full_unstemmed | The Extent, Dynamics, and Potential Predictors of Technical Efficiency and Capacity Utilisation in Small-Scale Fisheries in Oman |
title_short | The Extent, Dynamics, and Potential Predictors of Technical Efficiency and Capacity Utilisation in Small-Scale Fisheries in Oman |
title_sort | extent dynamics and potential predictors of technical efficiency and capacity utilisation in small scale fisheries in oman |
url | https://www.asianfisheriessociety.org/publication/downloadfile.php?id=1351&file=Y0dSbUx6QXpPRGczTURNd01ERTJNVGN4TkRZek5UVXVjR1Jt |
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