Impact of Some Climatic Variables on the Yields of Boro Rice in Bangladesh

Authors

  • Provash Kumar Karmokar Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh
  • Mahendran Shitan Laboratory of Computational Statistics and Operations Research Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia 3School of Business, James Cook University, Australia
  • A. B. M. Rabiul Alam Beg School of Business, James Cook University, Australia
  • Md. Idris Ali Research Student

DOI:

https://doi.org/10.54536/ajaset.v2i1.14

Keywords:

Multiple Regression, Bootstrap Technique, Climatic Factors, Boro Rice Production, Ordinary Least Squares (OLS)

Abstract

Bangladesh is primarily an Agriculture based country and its economy largely depends on the agriculture. Weather and climate are key determinants of the productivity of crops grown in an agrarian country like Bangladesh. Boro rice constitutes a large share in the domestic food grain of the country. Sometimes its production affected by some climatic factors. Therefore, the objective of this research was to determine the likely climatic factors for Boro rice production in Bangladesh. In this study we employed traditional OLS method and recent Bootstrap technique to identify the influential climatic factors on Boro rice production. Our study revealed that the considered variables rainfalls (RAIN), maximum temperature (MAX), minimum temperature (MIN) and wind speed (WIND) have significant effect on Boro rice production both by OLS and Bootstrap method. Bootstrap method exhibits lower standard errors in comparison to the OLS method indicating that this estimate could be useful in Boro rice production of Bangladesh. The messages from this study could be useful for the policy makers of the country.

Downloads

Download data is not yet available.

References

Basorun, J. O. and Fasakin, J. O. (2012). Factors Influencing Rice Production in Igbemo-Ekiti Region of Nigeria. Journal of Agriculture, Food and Environmental Sciences, 5(1).

Challinor, A.J., Slingo, J. M., Wheeler, T. R., Craufurd, P. Q. and Grimes, D. I. F. (2003). Toward a combined seasonal weather and crop production forecast system: Determination of the working special scale. American Meterological Society,175-191.

Diciccio, T., Tibshirani, R. (1987). Bootstrap Confıdence Intervals and Bootstrap Approximations, J. Amer. Statist. Assoc., 82:161–169.

Ho, K. and Naugher, J. (2000). Outliers lie: An illustrative example of identifying outliers and applying robust models multiple linear regression viewpoints, 26(2):2-6.

Khaled, U. Deb, Bairagi, N., Al-Amin, S. K., M., and Nabi, A. (2009). Higher Boro Production for Food Security: An Integrated Strategy. Centre for Policy Dialogue, (81):1-55.

Liu, Y. R. (1988). Bootstrap Procedures under Some Non-i.i.d. models, Ann. of Stat., 16:1696-1708.

Mendelshon, R., Dinar, A. and Dalfelt, A. (2000). Climate change Impacts on African Agriculture, doi: www.worldbank.org/wbi/adclimate/pdf (last access 31 January 2012).

Alam, M.S., Islam, M. R., Jabber, M. A., Islam, M. S. and Salam, M. A. (2008). Institutional backup towards food security in Bangladesh. Proceedings BKAS 13th National Conference and Seminar on Climate Changes: Food Security in Bangladesh, 13.

Nargis, F. and Lee, S. H. (2013). Efficiency analysis of boro rice production in north-central region of Bangladesh, The Journal of Animal & Plant Sciences, 23(2): 527-533.

Stine, R.(1990).Modern Methods of Data Analysis, Scotland Sage Pub.,325-373.

WFP, Bangladesh(2011). Bangladesh food security monitoring bulletin, http://home.wfp.org/, 2010, 1, 1-8. Accessed on 15/07/2011.

World Bank, ‘World Tables, 1989-1990 Edition Press’, John Hopkins University Press, 1990.

Downloads

Published

2018-11-15

How to Cite

Karmokar, P. K., Shitan, M., Beg, A. B. M. R. A., & Ali, M. I. (2018). Impact of Some Climatic Variables on the Yields of Boro Rice in Bangladesh. American Journal of Agricultural Science, Engineering, and Technology, 2(1), 81–88. https://doi.org/10.54536/ajaset.v2i1.14