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MODELLING THE IMPACT OF MINING ON SOCIO-ECONOMIC INFRASTRUCTURE DEVELOPMENT - A SYSTEM DYNAMICS APPROACH

机译:采矿对社会经济基础设施发展的影响建模-系统动力学方法

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摘要

The contribution of mining activities to social infrastructure and human development is a complex socio-economic development issue in South Africa. Complexity theory has introduced a new approach to solving problems in social systems, recognising them as complex systems. The socio-economic development system in South Africa falls into this category of complex systems. Analysing such a system requires that a number of feedback loops and details about the issues be analysed simultaneously. This level of complexity is above a human's ability to comprehend without the aid of tools such as systems thinking and system dynamics. The causality between investment in infrastructure capacity and socio-economic development is dynamic. The relationship is influenced by exogenous feedback that, if not managed, is likely to reverse itself. This paper presents the results of a system dynamics modelling of the relationship, based on the principle of relative attractiveness developed in previous system dynamics research. A Monte Carlo analysis is used to determine the sensitivity of the system to changes in feedback. The paper concludes that the limits to growth in a socio-economic environment are determined by more factors than the availability of capital, and also include land capacity constraints and skills shortage.
机译:采矿活动对社会基础设施和人类发展的贡献是南非一个复杂的社会经济发展问题。复杂性理论引入了一种新的方法来解决社会系统中的问题,并将其视为复杂的系统。南非的社会经济发展系统属于这类复杂系统。分析这样的系统需要同时分析许多反馈回路和有关问题的详细信息。这种复杂性水平超出了人们的理解能力,而无需借助诸如系统思考和系统动力学之类的工具。基础设施建设投资与社会经济发展之间的因果关系是动态的。这种关系受到外来反馈的影响,如果不加以管理,则很可能使自身逆转。本文基于先前系统动力学研究中发展的相对吸引力原理,介绍了这种关系的系统动力学建模结果。蒙特卡洛分析用于确定系统对反馈变化的敏感性。本文的结论是,在社会经济环境中增长的限制是由更多的因素而不是资本的可获得性决定的,并且还包括土地容量的限制和技能短缺。

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