EMBAR

Author:
Nisar Ahmed, Mohammad Rehan, Mohammad Afsar Alam, Nazim Khan, Muzafar Husain
Assistant Professor, Department of Geography, B N Jalan College, Sisai (Ranchi University)

DOI: doi.org/10.58924/rjhss.v5.iss2.p2

Published Date: 28-Apr, 2026

Keywords: Government Expenditure; Agricultural Labour Force; Gross Cropped Area; Economic Growth; Agricultural Productivity and ARDL model

Abstract:
This study is a gentle attempt to analyse the role of governmental expenditure tostimulate the cultivational productivity in India from 1990-1991 to 2020-2021. The data is obtained from the various sources of the National Statistical Account, Government of India and World Bank. The Autoregressive Distributed Lag (ARDL) model has been used to achieve the goal. The model of Dynamic Ordinary Least Square (DOLS)is used in this study to test the resilience of the ARDL model. The results received from the ARDL model indicate that both the short- and long-run outcomes display that the increased government expenditure on agriculture sectors has evidently stimulated India's agricultural productivity. Furthermore, the agricultural labour force, gross cropped area and the economic growth have shown a few positive and number of significant impacts on agricultural productivity. In this regard, the results that we got from this study, would require sincere commitment, engagement and proper strategies on behalf of the Government of India to nurture agricultural productivity in aiming to meet the growing demand for food, reduce dependence on imports, increase rural incomes and create employment opportunities in the agricultural sector. The study recommends that the government should prioritize this issue very fast and work out a national productivity in policy to increase the share of government expenditure in agriculture. Unmistakably, such an analysis will allow the policymakers to set up well-planned environmental and fiscal policies to manage the desired outcomes. The pertinent emphases of future research are also available in this study.

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