NITI Aayog Pushes District-Level GDP Estimation for Granular Economic Planning

NITI Aayog Proposes Licensing Reforms in Law, Healthcare, Engineering; Services 55% of GDP

NITI Aayog has proposed wide-ranging regulatory reforms for professional services — law, accounting, architecture, engineering, and healthcare — covering licensing, business structures, interstate mobility, and mutual recognition with other countries. The report notes services form 55% of GDP and India is the seventh-largest services exporter with 4.3% global share. For aspirants, this is a high-yield governance/economy topic for Prelims data and Mains on services-led growth.

India's MoSPI Launches Experimental Monetary Asset Accounts of Marine Fish Resources for Blue Economy

India's MoSPI has initiated a groundbreaking experiment to assign monetary value to marine fish stocks under the UN SEEA framework. This natural-capital accounting aims to integrate blue economy into national accounts, providing data for sustainable fisheries management and climate-risk assessment. For UPSC aspirants, this links to Environment, Economy, and Government policies on blue economy.

Chhattisgarh Tops NITI Aayog Regulatory Ease, Attracts Rs 8 Lakh Cr Investment Proposals

Chhattisgarh's ambitious Industrial Development Policy 2024-30 has drawn Rs 8 lakh crore in investment proposals, signaling a turnaround from Maoist-affected 'Red' zone to an emerging industrial hub. The state ranked first in NITI Aayog's regulatory ease category, underscoring structural reforms that decriminalized 279 business provisions and introduced risk-based approvals. This case study is crucial for understanding how governance reforms can attract investment even in conflict-affected regions.

MoSPI Considers Diary-Based HCES for High-Income Households to Tackle 9.8% Urban Non-Response Rate

To counter rising non-response from affluent households in gated societies, MoSPI is piloting a 'diary-based' self-reporting method for the next Household Consumption Expenditure Survey (HCES) in 2027-28. This shift is critical because the HCES data directly impacts CPI basket weights, inflation targeting by RBI, and policy making, but raises concerns about data comparability due to differential recall errors between survey methods.

NITI Aayog Report: 90% Graduates in Mismatched Jobs, 13% Unemployment, Push for Industry-Aligned Degrees

NITI Aayog's 'Reimagining Skilling for Viksit Bharat' report exposes a severe education-employment disconnect: over 90% of graduates hold jobs unrelated to their qualifications, graduate unemployment is 13% (20.4% for women) vs national 3.2%, and over 2 crore students are in generic BA/B.Sc/B.Com degrees with weak job linkages. The report calls for urgent reforms: redesigning generic degrees into industry-aligned specialisations, scaling apprenticeship-embedded programs, and establishing PPP skilling universities. This is high-yield for Prelims data and Mains essays on education policy, unemployment, and skill development.

MoSPI Defends 7.8% GDP Growth Amid Criticism, Cites Base Year Change to 2022-23

MoSPI issued a six-point rebuttal defending the 7.8% GDP growth for Q1 FY26, clarifying that data revisions stem from the base year change (2011-12 to 2022-23) and updated indices (PPI, IIP). The ministry refuted claims of manipulation, emphasizing that comparing old and new series is invalid.

India's Q1 GDP Growth 7.8%: MoSPI Refutes Ex-Finance Secretary's Base Year Manipulation Claim

India's Q1 FY26 GDP grew 7.8% real and 10.3% nominal, but former Finance Secretary S C Garg alleged data manipulation due to base year change. The article clarifies that his calculation is methodologically flawed and explains the importance of base year revisions.

MoSPI Defends New GDP Series as Q1 Growth Hits 7.8%, Base Year Revised to 2022-23

MoSPI Secretary Saurabh Garg defends the new GDP series (base year 2022-23) amid criticism over downward revision of past GDP data. Q1 2026-27 growth at 7.8% surprised economists. Garg says the new series uses better data sources like GST, PLFS, ASUSE, and digital data (e-Vahan, PFMS), making it the best so far. The debate is 'unnecessary' as methods were already public months ago.