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A Weighted Goal Programming model for planning sustainable development applied to Gulf Cooperation Council Countries

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  • Jayaraman, Raja
  • Colapinto, Cinzia
  • La Torre, Davide
  • Malik, Tufail

Abstract

The United Nations agenda for sustainable development by the year 2030 proposes 17 sustainable development goals which include access to affordable, reliable and clean energy, sustained economic growth with full productive employment and, urgent action to mitigate environmental degradation. Planning for sustainable development requires integrating conflicting criteria on economy, energy, environment and social aspects. In this paper, we introduce a Weighted Goal Programming model involving criteria on the economic development (GDP), the electricity consumption, the greenhouse gas emissions, and the total number of employees to determine optimal labor allocation across various economic sectors. The proposed model is validated with data from the six members of the Gulf Cooperation Council (namely Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates). The results of the model aim to provide empirical evidence and insights to decision makers and policy analysts in developing optimal strategies able to simultaneously satisfy energy demand, economic growth, labor development and reduction in greenhouse gas emissions to achieve sustainability targets by the year 2030.

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  • Jayaraman, Raja & Colapinto, Cinzia & La Torre, Davide & Malik, Tufail, 2017. "A Weighted Goal Programming model for planning sustainable development applied to Gulf Cooperation Council Countries," Applied Energy, Elsevier, vol. 185(P2), pages 1931-1939.
    • Handle: RePEc:eee:appene:v:185:y:2017:i:p2:p:1931-1939
    DOI: 10.1016/j.apenergy.2016.04.065
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    3. Behnam Fooladi Dehaghi & Ali Khoshfetrat, 2020. "Optimal Allocation of Water Reuse Using Modified TODIM-GP Approach with Considering the Leopold Matrix Outputs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(12), pages 3823-3854, September.
    4. Jie Zhang & Majed Alharthi & Qaiser Abbas & Weiqing Li & Muhammad Mohsin & Khan Jamal & Farhad Taghizadeh-Hesary, 2020. "Reassessing the Environmental Kuznets Curve in Relation to Energy Efficiency and Economic Growth," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    5. Srikant Gupta & Armin Fügenschuh & Irfan Ali, 2018. "A Multi-Criteria Goal Programming Model to Analyze the Sustainable Goals of India," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    6. Geng, Zhaowei & Conejo, Antonio J. & Chen, Qixin & Xia, Qing & Kang, Chongqing, 2017. "Electricity production scheduling under uncertainty: Max social welfare vs. min emission vs. max renewable production," Applied Energy, Elsevier, vol. 193(C), pages 540-549.
    7. Cayir Ervural, Beyzanur & Evren, Ramazan & Delen, Dursun, 2018. "A multi-objective decision-making approach for sustainable energy investment planning," Renewable Energy, Elsevier, vol. 126(C), pages 387-402.
    8. Tsai, I-Tsung & Mezher, Toufic, 2020. "Rationalizing energy policy reforms in the gulf cooperation council: Implications from an institutional analysis," Energy Policy, Elsevier, vol. 142(C).
    9. Danilo Liuzzi & Veronica Lupi & Aymeric Vié, 2022. "Sustainability, cooperation and mobility of workers within and between European countries: a two-stage goal programming model," Annals of Operations Research, Springer, vol. 311(2), pages 749-769, April.
    10. Fouad Ben Abdelaziz & Cinzia Colapinto & Davide La Torre & Danilo Liuzzi, 2020. "A stochastic dynamic multiobjective model for sustainable decision making," Annals of Operations Research, Springer, vol. 293(2), pages 539-556, October.
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