A Multi-Criteria Goal Programming Model to Analyze the Sustainable Goals of India
AbstractThere is an ever-growing demand for sustainable development (SD) plans, in order to foster a country’s economic growth by implementing suitable policies and initiative programs for the development of the primary, the secondary and the tertiary sectors. We present a multi-criteria modeling approach using the linear programming problem (LPP) framework for a simultaneous optimization of these three sectors. Furthermore, we develop a fuzzy goal programming (FGP) model that provides an optimal allocation of resources by achieving future goals on the gross domestic product (GDP), the electricity consumption (EC) and the greenhouse gas (GHG) emissions. Furthermore, a weighted model of FGP is presented to obtain varying solutions according to the priorities set by the decision-maker for achieving future goals of GDP growth, EC and GHG emissions. The presented models provide useful insight for decision-makers when implementing strategies across different sectors. As a model country, we chose India by the year 2030. A study of economic policies and sustainable development goals (SDGs) for India is finally carried out. View Full-Text
Share & Cite This Article
Gupta, S.; Fügenschuh, A.; Ali, I. A Multi-Criteria Goal Programming Model to Analyze the Sustainable Goals of India. Sustainability 2018, 10, 778.
Gupta S, Fügenschuh A, Ali I. A Multi-Criteria Goal Programming Model to Analyze the Sustainable Goals of India. Sustainability. 2018; 10(3):778.Chicago/Turabian Style
Gupta, Srikant; Fügenschuh, Armin; Ali, Irfan. 2018. "A Multi-Criteria Goal Programming Model to Analyze the Sustainable Goals of India." Sustainability 10, no. 3: 778.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.