In the context of Viksit Bharat, sustainable and inclusive development has gained significant importance. It requires a balanced framework that integrates economic advancement with social equity, environmental protection, and cultural continuity. This study explores a transformative framework for achieving sustainability and inclusiveness in Viksit Bharat 2047. While current development models emphasise economic growth, they often overlook social equity, environmental sustainability, and cultural relevance. Using a qualitative approach through document analysis, the research analyses the integration of Indian Knowledge Systems (IKS) and global knowledge to create a holistic model of national development. The study identifies that inclusive education, skill development, policy reforms, community participation, and technological innovation are critical drivers for equitable growth. Findings highlight the need for coordinated policies, interdisciplinary strategies, and continuous monitoring to address regional disparities, environmental challenges, and social inequities. By combining traditional ecological wisdom with modern science and governance frameworks, the proposed transformation model ensures balanced development. The study concludes that a culturally relevant, people-centric, and sustainable approach is essential to achieving Viksit Bharat’s vision of prosperity, resilience, and inclusiveness by 2047. Furthermore, the framework encourages adaptive governance, data-driven decision-making, grassroots empowerment, and responsible consumption patterns. It underscores partnerships between public, private, and civil society sectors to accelerate progress. Emphasising resilience to climate risks and digital inclusion, it envisions an equitable future where innovation, heritage, and sustainability drive long-term national transformation.
Building similarity graph...
Analyzing shared references across papers
Loading...
Humayun Kabir Biswas
PROF. (DR.) DIBYENDU BHATTACHARYYA
Building similarity graph...
Analyzing shared references across papers
Loading...
Biswas et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69e1cfcb5cdc762e9d858b77 — DOI: https://doi.org/10.5281/zenodo.19593300