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Palm Oil Production in Malaysia: An Analytical Systems Model for Balancing Economic Prosperity, Forest Conservation and Social Welfare

机译:马来西亚的棕榈油生产:平衡经济繁荣,森林保护和社会福利的分析系统模型

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Since the late 1950’s, the Malaysian human population has nearly quadrupled, increasing pressure on natural resource exploitation to meet domestic needs and to earn foreign exchange from exports. Global demand for Malaysian palm oil in particular had steeply increased since the mid-1970s and by 2013, the commodity was the leading foreign exchange earner. To fulfill and sustain this demand, the country’s economy has steadily shifted bias towards production and associated value addition of palm oil products for export. However, as a consequence, many of Malaysia’s natural tropical forests have been converted to palm oil farming resulting in loss of approximately 10,000 km2 of forest cover over the past twenty-five years, and biodiversity has been displaced or lost. To provide a deeper insight into the interplay amongst key interrelated environmental and socio-economic variables, and a forecast of possible future balance, we used a systems dynamism modeling tool, STELLAR (structural thinking, experiential learning laboratory with animation), to simulate and project how Malaysia could achieve a medium-term sustainable balance or optimization between palm oil production and forest conservation without compromising on human social welfare. The model consisted of four main modules (environmental, economic, social development and human welfare) each with component parameters, and interconnected by input and output loops. Model calibrations, testing and preruns involved existing official 30-year time-series datasets. Subsequently, four scenarios: Environmental conservation; Economic growth under increased global palm oil demand; Economy decline under decreased palm oil demand; and Control condition with little or no change, were selected for simulated projections of future possibilities. Simulation results showed that scenarios and variable interactions that reduce environmental damage would offer the best chance for optimizing the palm oil economy while also minimizing forest loss and promoting citizen social welfare.
机译:自1950年代后期以来,马来西亚人口几乎翻了两番,自然资源开发的压力越来越大,以满足国内需求并从出口中赚取外汇。自1970年代中期以来,全球对马来西亚棕榈油的需求特别是急剧增加,到2013年,该商品已成为主要的外汇收入来源。为了满足和维持这一需求,该国经济已逐渐将偏见转向生产和出口棕榈油产品的相关增值。但是,结果是,马来西亚的许多天然热带森林已转变为棕榈油种植,在过去的25年中造成了约10,000 km2的森林覆盖面积损失,生物多样性已被置换或丧失。为了更深入地了解关键的相互关联的环境和社会经济变量之间的相互作用以及对未来可能的平衡的预测,我们使用了系统动态建模工具STELLAR(结构思维,带有动画的体验式学习实验室)进行仿真和规划马来西亚如何在不损害人类社会福利的情况下实现棕榈油生产与森林保护之间的中期可持续平衡或优化。该模型由四个主要模块(环境,经济,社会发展和人类福利)组成,每个模块均具有组件参数,并通过输入和输出回路相互连接。模型校准,测试和预运行涉及现有的官方30年时间序列数据集。随后出现四种情况:环境保护;全球棕榈油需求增加下的经济增长;棕榈油需求下降导致经济下滑;并选择了几乎没有变化或没有变化的控制条件作为未来可能性的模拟预测。仿真结果表明,减少环境破坏的情景和可变相互作用将为优化棕榈油经济提供最佳机会,同时还可以最大程度地减少森林流失并促进公民社会福利。

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