Modelling the impact of mining on socio-economic infrastructure development: a system dynamics approach

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 developme...

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Main Authors: Maluleke, George, Pretorius, Leon
Format: Article
Language:English
Published: Stellenbosch University 2016-12-01
Series:South African Journal of Industrial Engineering
Subjects:
Online Access:http://sajie.journals.ac.za/pub/article/view/1133
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spelling doaj-2f8377e30cd9400a9b343f26fd77153f2020-11-24T20:52:24ZengStellenbosch UniversitySouth African Journal of Industrial Engineering1012-277X2224-78902016-12-01274667610.7166/27-4-1133Modelling the impact of mining on socio-economic infrastructure development: a system dynamics approachMaluleke, George0Pretorius, Leon1University of PretoriaUniversity of PretoriaThe 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.http://sajie.journals.ac.za/pub/article/view/1133Relative Attractivenessbeneficationsocio-economic developmentsystem dynamics
collection DOAJ
language English
format Article
sources DOAJ
author Maluleke, George
Pretorius, Leon
spellingShingle Maluleke, George
Pretorius, Leon
Modelling the impact of mining on socio-economic infrastructure development: a system dynamics approach
South African Journal of Industrial Engineering
Relative Attractiveness
benefication
socio-economic development
system dynamics
author_facet Maluleke, George
Pretorius, Leon
author_sort Maluleke, George
title Modelling the impact of mining on socio-economic infrastructure development: a system dynamics approach
title_short Modelling the impact of mining on socio-economic infrastructure development: a system dynamics approach
title_full Modelling the impact of mining on socio-economic infrastructure development: a system dynamics approach
title_fullStr Modelling the impact of mining on socio-economic infrastructure development: a system dynamics approach
title_full_unstemmed Modelling the impact of mining on socio-economic infrastructure development: a system dynamics approach
title_sort modelling the impact of mining on socio-economic infrastructure development: a system dynamics approach
publisher Stellenbosch University
series South African Journal of Industrial Engineering
issn 1012-277X
2224-7890
publishDate 2016-12-01
description 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.
topic Relative Attractiveness
benefication
socio-economic development
system dynamics
url http://sajie.journals.ac.za/pub/article/view/1133
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AT pretoriusleon modellingtheimpactofminingonsocioeconomicinfrastructuredevelopmentasystemdynamicsapproach
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