Raihan A.Rahman S.M.Ridwan M.Dhar B.K.Martinho D.Sarker T.Mahidol University2026-03-072026-03-072026-06-01Environmental and Sustainability Indicators Vol.30 (2026)https://repository.li.mahidol.ac.th/handle/123456789/115594This study examines the challenge of measuring environmental sustainability in India using a multidimensional indicator framework that highlights the roles of nuclear energy and human capital in shaping long-term ecological outcomes. The analysis integrates three complementary indicators, carbon dioxide emissions, ecological footprint, and load capacity factor, which reflect emissions intensity, ecological demand, and regenerative capacity. Grounded in the Environmental Kuznets Curve and Load Capacity Curve hypotheses, the study uses annual data from 1969 to 2023 and applies the autoregressive distributed lag bounds testing approach together with robustness estimations using fully modified ordinary least squares, dynamic ordinary least squares, and canonical cointegration regression to assess both short run and long-run dynamics. The findings support the Environmental Kuznets Curve and Load Capacity Curve in India. Nuclear energy and human capital improve environmental performance, while economic growth and natural gas consumption increase ecological pressure. The study contributes by integrating carbon emissions, ecological footprint, and load capacity factor within a unified empirical framework for India, providing evidence to support energy reform, human capital investment, and sustainability oriented policy design.Environmental ScienceAgricultural and Biological SciencesArticleSCOPUS10.1016/j.indic.2026.1011972-s2.0-10503152954726659727