DETERMINANTS OF INSTABILITY IN RICE PRODUCTION: EMPIRICAL EVIDENCE FROM UTTAR PRADESH
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Keywords:
ARDL, ECM, Instability, Irrigation, Rice ProductionAbstract
This research examined the determinants of the instability in rice production, which enhances
the total rice productivity in Uttar Pradesh. The study analysed the relations among variables used
for the analysis from 1991 to2019.The application of the Auto Regressive Distributed Lag technique
(ARDL )was used to approximate various determinants. The area under net irrigation, un-irrigation,
and rainfall positively affect rice production. In contrast,un-irrigation and annual rainfall showed a
positive but statistically insignificant impact on rice production in the long run. While in the short run,
all determinants had a negative and significant effect on total rice production convergence towards
in-equilibrium, shown by the error correction term - 0.42.
References
Ansari, S. Ali, N and Rashid, M. 2022. Growth
and Instability of pulses production in Uttar
Pradesh: A decomposition analysis. Asian
Journal of Multi-dimensional Research.
(1): 71-81.
Ceesay, E and Fanneh, M. M. 2022. Economic
growth, climate change, and agriculture
sector: ARDL bounds testing approach for
Bangladesh (1971-2020). Economics,
Management and Sustainability. 7(1): 95-
Chand, R and Raju, S. 2009. Instability in Indian
agriculture during different phases of
technology and policy. Indian Journal of
Agricultural Economics. 64(2): 187-207.
Kwofie, C and Ansah, R. K. 2018. A study of the
effect of inflation and exchange rate on
stock market returns in
Ghana. International Journal of
Mathematics and Mathematical
Sciences.92 (3):01-08
Mahapatra, S. K and Patra, C. 2020. Effect of
migration on agricultural growth and
development of KBK District of Odisha: A
statistical assessment. Journal of
Pharmacognosy and Phytochemistry. 9(2):
-167.
Mrutyunjay, Sand Mamata, S. 2006. Drought
induced changes in household income,
expenditure and savings: Evidence from
Bolangir district in Western Orissa. The
Journal of Income and Wealth, 28(2): 49-
Pesaran, M. H., Shin, Y and Smith, R. J. 2001.
Bounds testing approaches to the analysis
of level relationships. Journal of Applied
Econometrics.16(3): 289–326.
Reda, A. M and Nourhan, E. 2020. Using the
ARDL bound testing approach to study the
inflation rate in Egypt. Economic
Consultant. 31 (3): 24-41.
Sinha, M. K. Nanda and Kumar P. A. 2011.
Dynamics of poverty and food insecurity
in Orissa: Macro analysis and case
studies.13(8):219-230.
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