International Journal of Environmental Science and Development

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Volume 8 Number 7 (Jul. 2017)

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IJESD 2017 Vol.8(7): 496-500 ISSN: 2010-0264
doi: 10.18178/ijesd.2017.8.7.1003

The Development Model of the Policy Alternatives in Controlling Air Pollution in the Jakarta Province, Indonesia

Sri Listyarini and Lina Warlina
Abstract—The regulations issued by the Jakarta Provincial Government in order to maintain the perceived air quality have not functioned effectively. It is predicted the negative impacts of air pollution, with the huge of the money value. Therefore, it is necessary to conduct research to build an alternative policy that is expected to function effectively to reduce air pollution in Jakarta. Alternative policies was developed by the method of multi-criteria decision analysis (MCDA) with the software PRIME (Preference ratios in multiattribute evaluation) model is expected to control the environmental pollution, especially air pollution. The outcome from the MCDA model is the anticipation of a policy with an environmentally driven rather than economically driven approach as the developmental basis. The research recommends reducing emission of air pollution by combining command and control (CAC) policies with economic instrument (EI) policies and do-it-yourself (DIY) policies. Additionally, all stakeholders must have access to the academic policy development in order to improve their concerns and commitments.

Index Terms—Air pollution, command and control (CAC), do-it-yourself (DIY), economic instruments (EI), multi-criteria decision analysis (MCDA).

Sri Listyarini and Lina Warlina are with the Faculty of Mathematics and Natural Sciences, Indonesia Open University (Universitas Terbuka), Indonesia (e-mail: listyarini@ecampus.ut.ac.id, warlina@ecampus.ut.ac.id).

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Cite: Sri Listyarini and Lina Warlina, "The Development Model of the Policy Alternatives in Controlling Air Pollution in the Jakarta Province, Indonesia," International Journal of Environmental Science and Development vol. 8, no. 7, pp. 496-500, 2017.