DEPARTMENT SEMINAR
Date: 2nd April 2026
Time: 04:30PM
VENUE:
MS TEAMS LINK
Join:
https://teams.microsoft.com/meet/44652796044110?p=S0NQoBKiHYiTQW2yEj
Meeting ID:
446 527 960 441 10
Passcode:
Hf2Wh3xC
Speaker:
Dr. Kumar Shaurav
Assistant Professor
Department of Economics
I I M Ranchi
Title: “Corruption, Government Expenditure and Economic Performance at a Sub-Regional Level: Evidence From India”
Brief Bio: Dr. Kumar Shaurav is an Assistant Professor in the Department of Economics at the Indian Institute of Management (IIM) Ranchi, a position he has held since April 2024. He also serves as Associate Editor of the IIM Ranchi Journal of Management (Emerald Publication) and as Area Chair for Economics since early 2025. Dr. Shaurav completed his PhD in Economics from the Department of Liberal Arts at the Indian Institute of Technology (IIT) Hyderabad in 2024, under the supervision of Prof. Badri Narayan Rath. His doctoral thesis focused on an economic analysis of corruption across Indian states. He had earlier earned his MPhil in Economics from IIT Hyderabad and his Integrated M.Sc. in Economics from Pondicherry University. His research interests span Applied Econometrics, Development Economics, and the Economics of Corruption. He has published widely in reputed peer-reviewed journals, including the Journal of Regional Science, Resources Policy, Journal of Economic Studies, and International Journal of Emerging Markets, among others several of which are SSCI-indexed and ranked Q1 by Scopus. At IIM Ranchi, Dr. Shaurav teaches Microeconomics, Managerial Economics and Introductory Econometrics. He has presented his research at numerous national and international conferences. He is a UGC-NET qualified scholar and a recipient of the MHRD Fellowship, the Institute Silver Medal, and multiple academic excellence awards.
ABSTRACT: GDP per capita is most commonly used measure of economic growth in corruption-related studies, this research highlights the limitations of such measures when examining the impact of corruption on economic performance at the sub-regional level. Instead, productivity measures are employed to evaluate economic performance in this study. Using annual data from 1993 to 2019 across 18 states and 1 union territory of India, a dynamic panel threshold model is applied to examine the non-linear relationship between corruption and economic performance. The findings reveal that corruption has a growth-enhancing effect on economic performance up to a certain threshold. Moreover, the impact of government spending on Total Factor Productivity (TFP) is also influenced by the corruption threshold. Additionally, this research identifies other factors influencing TFP, such as population growth and government expenditure, which exhibit a positive relationship, while financial development shows a negative relationship. These findings emphasize the importance of policymakers and state governments combating corruption in order to enable states to achieve their maximum economic capacity.
Keywords: Corruption, Economic performance, Dynamic Panel Threshold Model, Total Factor Productivity, Panel Data, India.
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