Strengthening Democracy: National Conference Reinforces Fiscal Oversight and Technological Integration
The National Conference of Estimates Committees, led by Speaker Om Birla, emphasized fostering institutional synergy, enhancing financial accountability, and leveraging technology for improved governance. The event concluded with commitments to transparency, committee empowerment, and citizen-centric administration, adopting resolutions to bolster fiscal discipline and promote efficient public resource use.

- Country:
- India
The two-day National Conference of Chairpersons of Estimates Committees, inaugurated by Speaker Om Birla at Maharashtra Vidhan Bhawan, Mumbai, has concluded, underscoring the essential role of institutional synergy and technological advancements in bolstering democratic processes.
In his valedictory address, Speaker Birla highlighted the need for seamless cooperation among governance bodies to ensure effective policy implementation and a focus on citizen-centric administration. He advocated for transparency and fiscal responsibility, calling for mechanisms that promote the prudent use of public funds.
Birla stressed the importance of empowering committees with technological tools like AI and data analytics to enhance oversight and accountability in public spending. He emphasized that parliamentary committees serve a supportive role, offering guidance to the government and bridging the executive and legislative branches.
Emphasizing on effective use of fiscal resources for public welfare, Birla reiterated the role of Estimates Committees in making welfare schemes relevant and accessible. He cited technology-driven governance as pivotal in minimizing pilferage through measures like Direct Benefit Transfers.
The conference gathered representatives from 23 States and Union Territories, marking 75 years of the Estimates Committee's functioning. The conference adopted six key resolutions aimed at fortifying financial oversight and administrative efficiency, promising a people-centric governance model.
(With inputs from agencies.)