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<p>The Sustainable Development Goals (SDGs) offer a critical global framework for addressing challenges like poverty, inequality, climate change, etc. They encourage a holistic approach integrating economic growth, social inclusion, and environmental sustainability to create a better future. We aim to examine India’s responsibility in achieving the SDGs by recognizing the contributions of its diverse states in the federal structure of governance. As the nodal agency in India, the NITI Aayog’s existing SDG index, using various socioeconomic indicators to determine the performance across different goals, serves as a foundation for assessing each state’s progress. Based on the existing economic complexity/fitness index and SDGs-Generalized Economic Complexity (GENEPY) framework for computing “ranks for states" and “scores for goals", treating them as part of a “complex" bipartite network, we study in this paper the evolution and progress of Indian states and union territories over several years. This enhances our understanding of the complex relationship between state capabilities and the achievability of SDGs within the Indian context and enables data-driven policy-making.</p>

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Analyzing the progress of Indian states chasing sustainable development goals using complex network framework

  • 期刊论文

  • 发表日期：

    2025年7月16日

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  • Hrishidev Unni,
  • Rubal Rathi,
  • Sangita Dutta Gupta,
  • Anirban Chakraborti

摘要

The Sustainable Development Goals (SDGs) offer a critical global framework for addressing challenges like poverty, inequality, climate change, etc. They encourage a holistic approach integrating economic growth, social inclusion, and environmental sustainability to create a better future. We aim to examine India’s responsibility in achieving the SDGs by recognizing the contributions of its diverse states in the federal structure of governance. As the nodal agency in India, the NITI Aayog’s existing SDG index, using various socioeconomic indicators to determine the performance across different goals, serves as a foundation for assessing each state’s progress. Based on the existing economic complexity/fitness index and SDGs-Generalized Economic Complexity (GENEPY) framework for computing “ranks for states" and “scores for goals", treating them as part of a “complex" bipartite network, we study in this paper the evolution and progress of Indian states and union territories over several years. This enhances our understanding of the complex relationship between state capabilities and the achievability of SDGs within the Indian context and enables data-driven policy-making.