Navigating India’s path to sustainable development goals: optimization and forecasting approaches

The Sustainable Development Goals (SDGs) outlined in Agenda 2030 provide a global framework for achieving sustainable and inclusive growth. This study examines India’s progress toward these goals and proposes innovative solutions using forecasting and optimization modeling. The research focuses on b...

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Main Authors: Irfan Ali, Golam Kabir, Ahmad Yusuf Adhami, Nabil Ahmed Khan, Anas Melethil, Mohd Azeem
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Environmental Research Communications
Subjects:
Online Access:https://doi.org/10.1088/2515-7620/add1b2
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author Irfan Ali
Golam Kabir
Ahmad Yusuf Adhami
Nabil Ahmed Khan
Anas Melethil
Mohd Azeem
author_facet Irfan Ali
Golam Kabir
Ahmad Yusuf Adhami
Nabil Ahmed Khan
Anas Melethil
Mohd Azeem
author_sort Irfan Ali
collection DOAJ
description The Sustainable Development Goals (SDGs) outlined in Agenda 2030 provide a global framework for achieving sustainable and inclusive growth. This study examines India’s progress toward these goals and proposes innovative solutions using forecasting and optimization modeling. The research focuses on balancing economic development—primarily measured through GDP growth—sustainability, and employment, which are central to India’s sustainable development challenges. To achieve this, we adopt a lexicographic goal programming framework, structuring the decision-making process into four hierarchical levels. The most critical goal is prioritized first, ensuring that decisions are made sequentially from the highest to the lowest priority. This approach allows for a structured evaluation of India’s development across key sectors such as agriculture, mining, trade, and construction. Beyond assessment, the study offers practical, data-driven solutions to accelerate SDG progress. A numerical example is presented to demonstrate the applicability of the proposed methodology, and the results are compared with fuzzy goal programming to validate the effectiveness of the approach. By integrating a structured decision-making framework with optimization techniques, this research provides context-aware strategies to align India’s economic, environmental, and social objectives. The findings contribute to informed policymaking, offering actionable insights to drive a more equitable, prosperous, and sustainable future by 2030.
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spelling doaj-art-2126c04d7e3f4ee99fe7d0fdd42f6b612025-08-20T03:49:36ZengIOP PublishingEnvironmental Research Communications2515-76202025-01-017505500910.1088/2515-7620/add1b2Navigating India’s path to sustainable development goals: optimization and forecasting approachesIrfan Ali0https://orcid.org/0000-0002-1790-5450Golam Kabir1https://orcid.org/0000-0001-9591-0629Ahmad Yusuf Adhami2Nabil Ahmed Khan3https://orcid.org/0009-0007-9366-308XAnas Melethil4https://orcid.org/0000-0002-4764-6154Mohd Azeem5Department of Statistics & Operations Research, Aligarh Muslim University , Aligarh, 202002, IndiaFaculty of Engineering and Applied Science, University of Regina , Saskatchewan, S4S 0A2, CanadaDepartment of Statistics & Operations Research, Aligarh Muslim University , Aligarh, 202002, IndiaDepartment of Statistics & Operations Research, Aligarh Muslim University , Aligarh, 202002, IndiaDepartment of Statistics & Operations Research, Aligarh Muslim University , Aligarh, 202002, IndiaDepartment of Statistics & Operations Research, Aligarh Muslim University , Aligarh, 202002, IndiaThe Sustainable Development Goals (SDGs) outlined in Agenda 2030 provide a global framework for achieving sustainable and inclusive growth. This study examines India’s progress toward these goals and proposes innovative solutions using forecasting and optimization modeling. The research focuses on balancing economic development—primarily measured through GDP growth—sustainability, and employment, which are central to India’s sustainable development challenges. To achieve this, we adopt a lexicographic goal programming framework, structuring the decision-making process into four hierarchical levels. The most critical goal is prioritized first, ensuring that decisions are made sequentially from the highest to the lowest priority. This approach allows for a structured evaluation of India’s development across key sectors such as agriculture, mining, trade, and construction. Beyond assessment, the study offers practical, data-driven solutions to accelerate SDG progress. A numerical example is presented to demonstrate the applicability of the proposed methodology, and the results are compared with fuzzy goal programming to validate the effectiveness of the approach. By integrating a structured decision-making framework with optimization techniques, this research provides context-aware strategies to align India’s economic, environmental, and social objectives. The findings contribute to informed policymaking, offering actionable insights to drive a more equitable, prosperous, and sustainable future by 2030.https://doi.org/10.1088/2515-7620/add1b2sustainable development goalsforecastingARIMA modelsustainabilityoptimization
spellingShingle Irfan Ali
Golam Kabir
Ahmad Yusuf Adhami
Nabil Ahmed Khan
Anas Melethil
Mohd Azeem
Navigating India’s path to sustainable development goals: optimization and forecasting approaches
Environmental Research Communications
sustainable development goals
forecasting
ARIMA model
sustainability
optimization
title Navigating India’s path to sustainable development goals: optimization and forecasting approaches
title_full Navigating India’s path to sustainable development goals: optimization and forecasting approaches
title_fullStr Navigating India’s path to sustainable development goals: optimization and forecasting approaches
title_full_unstemmed Navigating India’s path to sustainable development goals: optimization and forecasting approaches
title_short Navigating India’s path to sustainable development goals: optimization and forecasting approaches
title_sort navigating india s path to sustainable development goals optimization and forecasting approaches
topic sustainable development goals
forecasting
ARIMA model
sustainability
optimization
url https://doi.org/10.1088/2515-7620/add1b2
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