Policy Analysis of Sustainable GMO Management Using Decision Making Method in Indonesia

P. Deswina, R. Syarief, Rachman Lm, M. Herman
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Abstract

Technology of genetic modifying is an alternative way to improve both the quality and the quantity of agricultural products. Genetically Modified Organism (GMO) as the product of new technology requires an excellent management strategies especially for the biosafety of the products before being released and commercialized. This study aims to determine the policy priorities in making the right decisions in order to manage a sustainable GMO while reducing the side effects of this technology to the environment and human health. The outputs of policy making based on experts justification are divided into four (4) levels, they are: Focus, Factor, Criteria and Alternative ways level. The synthesized of experts justifications on environmental, economic, social and technological factors, give a nearly equal eigen values to the previous four levels, so they are concluded in having the same priority in managing GMO. The gene flow of GMO crop to non GMO crop is the most important element to be considered with the eigen values 0.278. The increase of farmer’s income with eigen values 0.358 is considered as the most important criteria of economic factor. GMO safety to human health (0.464) is the preferred social elements. Last but not least, the human resource capability in doing biosafety test (0.580) is the most important criteria for the technology factor. Based on the alternatives compiled by the experts, law enforcement elements of the rules must be done by 0.187 eigen values-compared with other alternatives. Also based on ISM (Interpretative Structural Modelling) quadrant matrix, alternative elements are scattered into three quadrants; dependence, linkage and independent.
基于决策方法的印尼转基因生物可持续管理政策分析
基因改造技术是提高农产品质量和数量的另一种途径。转基因生物作为新技术的产物,在产品发布和商业化前需要有良好的生物安全管理策略。本研究旨在确定制定正确决策的政策重点,以便管理可持续的转基因生物,同时减少这项技术对环境和人类健康的副作用。基于专家论证的决策输出分为四个层次,分别是:焦点层、因素层、标准层和替代途径层。综合专家对环境、经济、社会和技术等因素的论证,认为前4个层次的特征值基本相等,因此认为它们在转基因生物管理中具有同等的优先级。转基因作物向非转基因作物的基因流动是最重要的考虑因素,特征值为0.278。农民收入增长特征值为0.358,被认为是经济因素的最重要标准。转基因生物对人类健康的安全性(0.464)是首选的社会因素。最后,生物安全检测人力资源能力(0.580)是评价技术因素最重要的指标。根据专家编制的备选方案,与其他备选方案相比,规则的执法要素必须通过0.187个特征值来完成。同样基于ISM (Interpretative Structural modeling)象限矩阵,将备选元素分散到三个象限中;依赖,联系和独立。
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