Energy sources choice and environmental sustainability disputes: an evolutional graph model approach

The present study proposes a conflict resolution methodology for energy-environment policy conflicts. The choice of energy source is primarily important in fulfilling energy requirements of the economy along with suitable technologies to be adopted to achieve low carbon objective set by United Natio...

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Main Authors: Ali S., Xu H., Al-amin A.Q., Ahmad N.
Other Authors: 57214290508
Format: Article
Published: Springer Netherlands 2023
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spelling my.uniten.dspace-247412023-05-29T15:26:30Z Energy sources choice and environmental sustainability disputes: an evolutional graph model approach Ali S. Xu H. Al-amin A.Q. Ahmad N. 57214290508 55493779400 23481119100 57189710120 The present study proposes a conflict resolution methodology for energy-environment policy conflicts. The choice of energy source is primarily important in fulfilling energy requirements of the economy along with suitable technologies to be adopted to achieve low carbon objective set by United Nations Framework Convention on Climate Change. The objectives of the energy policy need to be in line with the targets of environmental policy. Failing to do so would result in energy-environment conflict especially in the economies characterized as energy deficient but also most vulnerable to environmental hazards. Energy planning and its execution without proper consideration of alternative energy sources and their environmental impact assessment would jeopardize energy and environmental policy objectives to achieve. There may emerge energy-environmental conflicts. These conflicts are of evolutional nature due to the changes in decision maker(s), options available to them and preferences changes. The complex, dynamic, and evolutional nature of these conflicts warrant an evolutional conflict resolution approach to resolve these disputes. The current study proposes an evolutional approach to conflict resolution in the framework of graph model for conflict resolution (GMCR). We apply evolutional GMCR to resolve energy-environment conflict in the case of Pakistan. The analysis unfolds how the conflict emerged and how choices of sources of electricity production by the government lead to unwanted and unfavorable situation. Moreover, how changes in the decision makers, their choices, and preferences changed the scenarios for the focal decision maker�the government. Further, study reports a suitable and viable equilibrium solution of the conflict that can be acceptable to all decision-makers in the conflict. � 2018, Springer Science+Business Media B.V., part of Springer Nature. Final 2023-05-29T07:26:30Z 2023-05-29T07:26:30Z 2019 Article 10.1007/s11135-018-0775-9 2-s2.0-85047659070 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047659070&doi=10.1007%2fs11135-018-0775-9&partnerID=40&md5=edbc6d3be01489a58451d1849d473c3b https://irepository.uniten.edu.my/handle/123456789/24741 53 2 561 581 Springer Netherlands Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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description The present study proposes a conflict resolution methodology for energy-environment policy conflicts. The choice of energy source is primarily important in fulfilling energy requirements of the economy along with suitable technologies to be adopted to achieve low carbon objective set by United Nations Framework Convention on Climate Change. The objectives of the energy policy need to be in line with the targets of environmental policy. Failing to do so would result in energy-environment conflict especially in the economies characterized as energy deficient but also most vulnerable to environmental hazards. Energy planning and its execution without proper consideration of alternative energy sources and their environmental impact assessment would jeopardize energy and environmental policy objectives to achieve. There may emerge energy-environmental conflicts. These conflicts are of evolutional nature due to the changes in decision maker(s), options available to them and preferences changes. The complex, dynamic, and evolutional nature of these conflicts warrant an evolutional conflict resolution approach to resolve these disputes. The current study proposes an evolutional approach to conflict resolution in the framework of graph model for conflict resolution (GMCR). We apply evolutional GMCR to resolve energy-environment conflict in the case of Pakistan. The analysis unfolds how the conflict emerged and how choices of sources of electricity production by the government lead to unwanted and unfavorable situation. Moreover, how changes in the decision makers, their choices, and preferences changed the scenarios for the focal decision maker�the government. Further, study reports a suitable and viable equilibrium solution of the conflict that can be acceptable to all decision-makers in the conflict. � 2018, Springer Science+Business Media B.V., part of Springer Nature.
author2 57214290508
author_facet 57214290508
Ali S.
Xu H.
Al-amin A.Q.
Ahmad N.
format Article
author Ali S.
Xu H.
Al-amin A.Q.
Ahmad N.
spellingShingle Ali S.
Xu H.
Al-amin A.Q.
Ahmad N.
Energy sources choice and environmental sustainability disputes: an evolutional graph model approach
author_sort Ali S.
title Energy sources choice and environmental sustainability disputes: an evolutional graph model approach
title_short Energy sources choice and environmental sustainability disputes: an evolutional graph model approach
title_full Energy sources choice and environmental sustainability disputes: an evolutional graph model approach
title_fullStr Energy sources choice and environmental sustainability disputes: an evolutional graph model approach
title_full_unstemmed Energy sources choice and environmental sustainability disputes: an evolutional graph model approach
title_sort energy sources choice and environmental sustainability disputes: an evolutional graph model approach
publisher Springer Netherlands
publishDate 2023
_version_ 1806427427812933632
score 13.214268