Digital Governance Capacity and Urban Energy Structure Transformation in India
Dr. M. Haritha
Assistant Professor (PT), Department of Public Administration, Osmania University, Hyderabad, Telangana.
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http://doi.org/10.37648/ijps.v22i01.001
Abstract
This article examines the relationship between digital governance capacity and urban energy structure transformation in the Indian context. As Indian cities face rapid urbanization, rising electricity demand, growing transport pressure, and increasing climate commitments, the ability of local governments to use digital systems effectively has become a critical factor shaping energy outcomes. Digital governance capacity refers to the institutional ability of urban authorities to collect, integrate, analyze, and apply data for decision-making, service delivery, monitoring, and public accountability. Urban energy structure transformation refers to the shift toward more efficient, cleaner, and better-governed patterns of energy production, distribution, and consumption in cities, including greater electrification, renewable integration, reduced losses, improved building efficiency, and low-carbon mobility.
Keywords:
Digital Governance Capacity; Energy Structure Transformation; System GMM; Regional Heterogeneity; Urban Policy.
References
- Das, D. K. (2024). Exploring an ICT-enabled participative smart city governance system: An Indian context. International Journal of Urban Sustainable Development, 16(1), 440–458. https://doi.org/10.1080/19463138.2024.2433983
- Chatterji, T., & Mukkai, A. R. (2024). Driving urban digitalisation through a national mission: A multilevel governance perspective of India’s data smart cities strategy. Asia Pacific Journal of Public Administration, 46(4), 392–421. https://doi.org/10.1080/23276665.2024.2308007
- NITI Aayog (2025–2026). Reports on urban governance, digital public infrastructure, and sustainable urban development.
- Bureau of Energy Efficiency (2024–2025). Energy efficiency and smart urban infrastructure reports.
- Marsden, G., Reardon, L., Campbell, M., Gupta, S., & Verma, A. (2024). Tightly Bound, Loosely Interpreted: Meta-Governance and Local Institutional Adaptation in the Implementation of the Smart Cities Mission India. Administration & Society, 56(4). https://doi.org/10.1177/00953997241237531
- Mitra, S. G., Chandra, A., & Ramaprasad, A. (2024). The Ontology of Urban Governance: A Framework for Pathways to Sustainable Urban Transition. Urban Science, 8(2), 38. https://doi.org/10.3390/urbansci8020038
- Park, S. (2023). Smart Cities: Striking a Balance Between Urban Resilience and Civil Liberties. arXiv. https://doi.org/10.48550/arXiv.2303.14597
- Ullah, A., Qi, G., Hussain, S., Ullah, I., & Ali, Z. (2024). The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions. arXiv. https://doi.org/10.48550/arXiv.2402.14596
- Cakir, L. V., Duran, K., Thomson, C., Broadbent, M., & Canberk, B. (2024). AI in Energy Digital Twining: A Reinforcement Learning-Based Adaptive Digital Twin Model for Green Cities. arXiv. https://doi.org/10.48550/arXiv.2401.16449
- Reuters. (2024). How AI is arming cities in the battle for climate resilience. Reuters Sustainability Report.
- NITI Aayog. (2026). Moving Towards Effective City Government: A Framework for Million-Plus Cities. Government of India.
- Government of India, Ministry of Housing and Urban Affairs. (2025). DataSmart Cities Strategy and Smart Cities Mission Progress Report. New Delhi: MoHUA.
- Ministry of Housing and Urban Affairs (2024–2025). Smart Cities Mission and DataSmart Cities publications.
- International Energy Agency (2024). India Energy Outlook and Urban Energy Transition Studies.
