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Data-Driven Sustainability: Aligning Economic Efficiency With Ecological Responsibility




Ayush Nagar, B.A.LL.B. (Hons.), CHRIST (Deemed to be University), Delhi NCR, India


ABSTRACT


The green economy has evolved as an emerging framework to balance the integrity and economic growth, and social justice as in the phrase of challenges like climate change and environmental degradation. Scholar Amartya Sen also advocated for the justice and fairness across generations, which is at the core of sustainability, which requires both resilience and inclusivity. The paper establishes an analysis of how renewable energy, sustainable farming, and eco-friendly industries can reduce poverty, generate healthy working environments, and create equitable growth. The paper also underlines the irreplaceable role of civil society, financial institutions, and government in developing green investments, designing effective policies, and creating public awareness. Meanwhile, it examines how the digital economy, with data governance, artificial intelligence, big data, and blockchain as its driving forces, can serve as a driver of ecological change. By using these tools in smart energy grids, precision farming, and carbon trading systems, the digital economy can help balance economic efficiency with environmental responsibility. The research advocates that the future of sustainable development lies in the advancement of green technologies as well as in the governance of digital systems. Digital governance can promote accountability, and avert greenwashing, and data footprints can be turned into sustainability drivers to connect the ecological responsibility with the UN Sustainable Development Goals.


Keywords: Green Economy, Data Governance, Digital Economy, Sustainable Development, Eco-friendly.



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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