DETERMINANTS OF INSTABILITY IN RICE PRODUCTION: EMPIRICAL EVIDENCE FROM UTTAR PRADESH
355 / 123
Authors
-
SHOAIB ANSARI*, SAGHIR AHMAD ANSARI AND ALFISHAN REHMAT
Department of Agricultural Economics and Business Management, Aligarh Muslim University, Aligarh- 202 002
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
1. Ansari, S. Ali, N and Rashid, M. 2022. Growth
2. and Instability of pulses production in Uttar
3. Pradesh: A decomposition analysis. Asian
4. Journal of Multi-dimensional Research.
5. (1): 71-81.
6. Ceesay, E and Fanneh, M. M. 2022. Economic
7. growth, climate change, and agriculture
8. sector: ARDL bounds testing approach for
9. Bangladesh (1971-2020). Economics,
10. Management and Sustainability. 7(1): 95-
11. Chand, R and Raju, S. 2009. Instability in Indian
12. agriculture during different phases of
13. technology and policy. Indian Journal of
14. Agricultural Economics. 64(2): 187-207.
15. Kwofie, C and Ansah, R. K. 2018. A study of the
16. effect of inflation and exchange rate on
17. stock market returns in
18. Ghana. International Journal of
19. Mathematics and Mathematical
20. Sciences.92 (3):01-08
21. Mahapatra, S. K and Patra, C. 2020. Effect of
22. migration on agricultural growth and
23. development of KBK District of Odisha: A
24. statistical assessment. Journal of
25. Pharmacognosy and Phytochemistry. 9(2):
26. -167.
27. Mrutyunjay, Sand Mamata, S. 2006. Drought
28. induced changes in household income,
29. expenditure and savings: Evidence from
30. Bolangir district in Western Orissa. The
31. Journal of Income and Wealth, 28(2): 49-
32. Pesaran, M. H., Shin, Y and Smith, R. J. 2001.
33. Bounds testing approaches to the analysis
34. of level relationships. Journal of Applied
35. Econometrics.16(3): 289–326.
36. Reda, A. M and Nourhan, E. 2020. Using the
37. ARDL bound testing approach to study the
38. inflation rate in Egypt. Economic
39. Consultant. 31 (3): 24-41.
40. Sinha, M. K. Nanda and Kumar P. A. 2011.
41. Dynamics of poverty and food insecurity
42. in Orissa: Macro analysis and case
43. studies.13(8):219-230.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The author owns the article's copyright until the article is accepted for publication. After acceptance, the author(s) assigns the article's copyright jointly to both the authors and the Publishers of the Journal of Research ANGRAU (ANGRAU) and licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 International License.
