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This dissertation explores the relationship between government receipts and expenditure in India, analyzing the division of spending into developmental and non-developmental categories. It examines the sources of government revenue, including tax and non-tax components, and the patterns of expenditure from 2016 to 2024. The study uses secondary data from the Reserve Bank of India to assess the impact of these financial dynamics on the country's economic growth. The findings reveal that tax revenue is a major contributor to government income, and revenue expenditure constitutes a substantial portion of overall spending. The dissertation discusses the need for strategic financial planning to optimize resource allocation, promote development, and ensure the country's financial health.
Keywords:
This dissertation explores the relationship between government receipts and expenditure in India, analyzing the division of spending into developmental and non-developmental categories. It examines the sources of government revenue, including tax and non-tax components, and the patterns of expenditure from 2016 to 2024. The study uses secondary data from the Reserve Bank of India to assess the impact of these financial dynamics on the country's economic growth. The findings reveal that tax revenue is a major contributor to government income, and revenue expenditure constitutes a substantial portion of overall spending. The dissertation discusses the need for strategic financial planning to optimize resource allocation, promote development, and ensure the country's financial health.
Cite Article:
"Government Receipts And Expenditure : In Relation With Developmental And Non-Developmental Expenditure.", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a395-a414, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505040.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator