The Experts below are selected from a list of 249726 Experts worldwide ranked by ideXlab platform
Rashid U Sumaila - One of the best experts on this subject based on the ideXlab platform.
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quantifying the overlooked socio Economic Contribution of small scale fisheries in sabah malaysia
Fisheries Research, 2011Co-Authors: Louise S L Teh, Lydia C L Teh, Rashid U SumailaAbstract:Abstract Our study objective is to quantify the present and historical Contribution of small-scale fisheries to national economies. We focus on the small-scale fishing sector in Sabah, Malaysia, and use a previously reconstructed time series of Sabah's small-scale catches as the basis for estimating the Economic value of these fisheries. Our findings suggest that since the early 1990s, small-scale fish catches in Sabah may have been undervalued by up to 225%. Presently, small-scale fisheries may be supporting up to an additional 3.5% of Sabah's population. Further, accounting for the Economic impact of unaccounted small-scale fisheries value could have potentially tripled the reported Contribution that commercial and small-scale fisheries combined made to GDP in 2009. Overall, our results show that the socio-Economic Contribution of small-scale fisheries to Sabah society have been substantially undervalued or even unaccounted for historically and in present fisheries statistics. This undervaluation also implies that fishing pressure on Sabah's inshore marine resources is probably a lot higher than presently perceived, raising concerns about the long-term sustainability of these fisheries resources, and the capacity for Sabah's inshore fisheries to support coastal livelihoods into the future. Our study strongly suggests the need for more encompassing fisheries monitoring and data collection methods which target the large population of small-scale fishers whose catch is largely unreported.
Louise S L Teh - One of the best experts on this subject based on the ideXlab platform.
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quantifying the overlooked socio Economic Contribution of small scale fisheries in sabah malaysia
Fisheries Research, 2011Co-Authors: Louise S L Teh, Lydia C L Teh, Rashid U SumailaAbstract:Abstract Our study objective is to quantify the present and historical Contribution of small-scale fisheries to national economies. We focus on the small-scale fishing sector in Sabah, Malaysia, and use a previously reconstructed time series of Sabah's small-scale catches as the basis for estimating the Economic value of these fisheries. Our findings suggest that since the early 1990s, small-scale fish catches in Sabah may have been undervalued by up to 225%. Presently, small-scale fisheries may be supporting up to an additional 3.5% of Sabah's population. Further, accounting for the Economic impact of unaccounted small-scale fisheries value could have potentially tripled the reported Contribution that commercial and small-scale fisheries combined made to GDP in 2009. Overall, our results show that the socio-Economic Contribution of small-scale fisheries to Sabah society have been substantially undervalued or even unaccounted for historically and in present fisheries statistics. This undervaluation also implies that fishing pressure on Sabah's inshore marine resources is probably a lot higher than presently perceived, raising concerns about the long-term sustainability of these fisheries resources, and the capacity for Sabah's inshore fisheries to support coastal livelihoods into the future. Our study strongly suggests the need for more encompassing fisheries monitoring and data collection methods which target the large population of small-scale fishers whose catch is largely unreported.
Lydia C L Teh - One of the best experts on this subject based on the ideXlab platform.
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quantifying the overlooked socio Economic Contribution of small scale fisheries in sabah malaysia
Fisheries Research, 2011Co-Authors: Louise S L Teh, Lydia C L Teh, Rashid U SumailaAbstract:Abstract Our study objective is to quantify the present and historical Contribution of small-scale fisheries to national economies. We focus on the small-scale fishing sector in Sabah, Malaysia, and use a previously reconstructed time series of Sabah's small-scale catches as the basis for estimating the Economic value of these fisheries. Our findings suggest that since the early 1990s, small-scale fish catches in Sabah may have been undervalued by up to 225%. Presently, small-scale fisheries may be supporting up to an additional 3.5% of Sabah's population. Further, accounting for the Economic impact of unaccounted small-scale fisheries value could have potentially tripled the reported Contribution that commercial and small-scale fisheries combined made to GDP in 2009. Overall, our results show that the socio-Economic Contribution of small-scale fisheries to Sabah society have been substantially undervalued or even unaccounted for historically and in present fisheries statistics. This undervaluation also implies that fishing pressure on Sabah's inshore marine resources is probably a lot higher than presently perceived, raising concerns about the long-term sustainability of these fisheries resources, and the capacity for Sabah's inshore fisheries to support coastal livelihoods into the future. Our study strongly suggests the need for more encompassing fisheries monitoring and data collection methods which target the large population of small-scale fishers whose catch is largely unreported.
Yan-min Xing - One of the best experts on this subject based on the ideXlab platform.
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A new method of soft computing to estimate the Economic Contribution rate of education in China
Applied Soft Computing, 2008Co-Authors: Haixiang Guo, Kejun Zhu, Fengqin Diao, Yan-min XingAbstract:Economic Contribution rate of education (ECE) is the key factor of education Economics. In this paper, a soft computing method of Economic Contribution rate of education is proposed. The method is composed of four steps. The first step does fuzzy soft-clustering to object system based on levels of science and technology and obtains the optimal number of clusters, which determines the number of fuzzy rules. The second step constructs the fuzzy neural networks FNN1 from human capital to Economic growth and obtains Economic Contribution rate of human capital @a"k. The third step constructs the fuzzy neural networks FNN2 from education to human capital and obtains human capital Contribution rate of education @a^'"k. The fourth step calculates the Economic Contribution rate of education ECE"[email protected]"[email protected]^'"k. At last, this algorithm is applied to obtain the Economic Contribution rate of education in China.
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ISNN (2) - A soft computing method of Economic Contribution rate of education: a case of China
Advances in Neural Networks - ISNN 2006, 2006Co-Authors: Haixiang Guo, Kejun Zhu, Yan-min XingAbstract:Economic Contribution rate of education is the key factor of education economy. In this paper, a soft computing method of Economic contri-bution rate of education is proposed. The method is composed of four steps: The first step is doing fuzzy soft-clustering to object system based on levels of science technology and getting optimal number of clusters, which determines number of fuzzy rules. The second step is that the fuzzy neural networks FNN1 from human capital to Economic growth is constructed and we obtain Economic Contribution rate of human capital αk. The third step is that the fuzzy neural networks FNN2 from education to human capital is constructed and we obtain human capital Contribution rate of education α′k. The fourth step is calculating Economic Contribution rate of education ECEk=αk ×α′k. At last, the Economic Contribution rate of education of China is obtained.
Haixiang Guo - One of the best experts on this subject based on the ideXlab platform.
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A new method of soft computing to estimate the Economic Contribution rate of education in China
Applied Soft Computing, 2008Co-Authors: Haixiang Guo, Kejun Zhu, Fengqin Diao, Yan-min XingAbstract:Economic Contribution rate of education (ECE) is the key factor of education Economics. In this paper, a soft computing method of Economic Contribution rate of education is proposed. The method is composed of four steps. The first step does fuzzy soft-clustering to object system based on levels of science and technology and obtains the optimal number of clusters, which determines the number of fuzzy rules. The second step constructs the fuzzy neural networks FNN1 from human capital to Economic growth and obtains Economic Contribution rate of human capital @a"k. The third step constructs the fuzzy neural networks FNN2 from education to human capital and obtains human capital Contribution rate of education @a^'"k. The fourth step calculates the Economic Contribution rate of education ECE"[email protected]"[email protected]^'"k. At last, this algorithm is applied to obtain the Economic Contribution rate of education in China.
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ISNN (2) - A soft computing method of Economic Contribution rate of education: a case of China
Advances in Neural Networks - ISNN 2006, 2006Co-Authors: Haixiang Guo, Kejun Zhu, Yan-min XingAbstract:Economic Contribution rate of education is the key factor of education economy. In this paper, a soft computing method of Economic contri-bution rate of education is proposed. The method is composed of four steps: The first step is doing fuzzy soft-clustering to object system based on levels of science technology and getting optimal number of clusters, which determines number of fuzzy rules. The second step is that the fuzzy neural networks FNN1 from human capital to Economic growth is constructed and we obtain Economic Contribution rate of human capital αk. The third step is that the fuzzy neural networks FNN2 from education to human capital is constructed and we obtain human capital Contribution rate of education α′k. The fourth step is calculating Economic Contribution rate of education ECEk=αk ×α′k. At last, the Economic Contribution rate of education of China is obtained.
