Contribution of Factors Affecting Crop Production in Bangladesh: An Empirical Analysis with Production Function Approach
top of page
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Economics and Business

Quarterly Reviews

ISSN 2775-9237 (Online)

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
crossref
doi
open access

Published: 16 April 2021

Contribution of Factors Affecting Crop Production in Bangladesh: An Empirical Analysis with Production Function Approach

Muhammad Faruq-Uz-Zaman

Dhaka School of Economics, Bangladesh

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, management journal

Download Full-Text Pdf

doi

10.31014/aior.1992.04.02.345

Pages: 59-67

Keywords: Fertilizer, Irrigation, Land Degradation, Soil Fertility

Abstract

Bangladesh has achieved a tremendous success in food production in last few decades amidst challenges of land degradation, land use changes and climate effect. In spite of the increasing trend of yields of crops, there still remain some challenges to meet the growing needs due to increase in population and loss of land to development activities. This study aims to identify the rate of contributions or economics of factors of crop production in Bangladesh. Cobb-Douglas production function has been applied in this study of crop production using a number of production factors within the broad terms land, labour and capital. Secondary data, representing factors of production, have been selected based on literature reviews so that they can be appropriate for this study. Data of crop production have been considered as dependent variables, whereas, land area coverage for agricultural production, labour employed in agriculture, agricultural household expenditure, fertilizer applied and irrigation coverage have been considered as independent variables. Land and labour is negatively correlated with crop production, whereas, fertilizer is positively correlated. Crop production which shows decreasing return to scale deserves the adoption of new technology and good agricultural management practices.

References

  1. Ansoms, A. et al, 2008: The Inverse Relationship between Farm Size and Productivity in  Rural Rwanda, Discussion Paper, Institute of Development Policy and Management, University of Antwerp.

  2. Armagan, G. and Ozden, A., 2007: Determinations of Total Factor Productivity with Cobb-Douglas Production Function in Agriculture: The Case of Aydin-Turkey, Journal of Applied Sciences, 2007, Volume 7, Issue 4, Page No.: 499-502

  3. Baumohl, Eduard and Stefan Lyocsa, 2009: Stationarity of time series and the problem of spurious regression, MPRA Paper No. 27926, posted on 07 Jan 2011 20:50 UTC retrieved from the URL https://mpra.ub.uni-muenchen.de/27926/ on 17 December 2020.

  4. BBS, 1999: Statistical Yearbook of Bangladesh. 1999, Bangladesh Bureau of Statistics, Government of Bangladesh.

  5. Debertin, David L., 2012: Agricultural Production Economics, Second edition, University of Kentucky.

  6. Echevarria, Cristina, 1998: A Three-Factor Agricultural Production Function: The Case of Canada, International Economic Journal, volume, 12, 1998, issue 3.

  7. Felipe, J. and Adams, F. G. (2005). "A Theory of Production" The Estimation of the Cobb-Douglas Function: A Retrospective View. Eastern Economic Journal, Vol. 31(3), pp. 427-445.

  8. Hossain, M., D. Lewis, M. Bose and A. Chowdhury, 2003: Rice research, technological progress, and the impact on the poor: the Bangladesh case (summary report), Discussion paper no. 110, Environment and Production Technology Division, International Food Policy Research Institute: Washington, DC, USA.

  9. Hossain, M. 2002. Promoting the rural non-farm economy of Bangladesh, CPD- IRRI Policy Brief, 3, Centre for Policy Dialog - International Rice Research Institute, Dhaka, Bangladesh.

  10. Khatun Tahmina and Sadia Afroze, 2016: Relationship between Real GDP and Labour & Capital by Applying the Cobb-Douglas Production Function: A Comparative Analysis  among Selected Asian Countries, Journal of Business Studies, Vol. XXXVII, No. 1, April 2016.

  11. Knoema, (n. d.): Data for irrigation was retrieved from URL https://knoema.com/  atlas/Bangladesh/topics/Land-Use/Area/Total-area-equipped-for-irrigation on 17 December, 2020.

  12. Merga, Bulti & Jema Haji, 2019: Factors Impeding Effective Crop Production in Ethiopia, Journal of Agricultural Science; Vol. 11, No. 10; 2019

  13. Mohajon, H., 2013: Food, Agriculture and Economic Situation in Bangladesh, proceedings of 2nd International Conference on Global Sustainable Development, 2013, Office of Research, Innovation and Commercialization, Khadim Ali Shah Bukhari Institute of Technology.

  14. Msangi, H. A., 2017: Examining the inverse relationship between farm size and efficiency in Tanzanian agriculture, unpublished MSc thesis, Sokoine University of Agriculture, Tanzania.

  15. O`Donnel, C. J., 2010. Measuring and decomposing agricultural productivity and profitability change, Australian Journal of Agricultural and Resource Economics, 54: 527- 560.

  16. Olsson, Carl-Axel, 1971: The Cobb-Douglas or the Wicksell function? Economy and History, 14:1, 64-69, DOI: 10.1080/00708852.1971.10418884

  17. Plecher, H. 2020: Share of economic sectors in the GDP in Bangladesh 2019, web edition published in www.statista.com, cited on 14 January, 2021.

  18. Rahman, M. T., 2017: Role of Agriculture in Bangladesh Economy: Uncovering the Problems and Challenges, International Journal of Business and Management Invention, Volume 6 Issue 7, July 2017, PP 36-46.

  19. Rahman, M Wakilur and Lovely Parvin, 2009: Impact of Irrigation on Food Security in  Bangladesh for the Past Three Decades, Journal of Water Resource and Protection, Vol. 1 No. 3 (2009), Article ID: 687

  20. Rahman, Sanzidur, and Ruhul Salim, 2013: Six Decades of Total Factor Productivity Change and Sources of Growth in Bangladesh Agriculture (1948–2008). Journal of Agricultural Economics 64: 275–94.

  21. Renting, H. et al., 2013: Investigation of the contribution rate of agricultural mechanization to agricultural production using Cobb Douglas model, Information Technology Journal, 12(8), 1607-1613.

  22. Santaularia, Ventosa, 2009: Spurious Regression, Journal of Probability and Statistics, Volume 2009, Article ID 802975, 27 pages

  23. TheGlobalEconomy.com, (n. d.): Data for labour and fertilizer was retrieved from URL https://www.theglobaleconomy.com/compare-countries on 17 December, 2020.

  24. Wang,  Xiaoshu and Yu Fu, 2013: Some Characterizations of the Cobb-Douglas and CES Production Functions in Microeconomics, Abstract and Applied Analysis, vol. 2013, Article ID 761832, 6 pages.

  25. Yuan, Zaijian, 2011: Analysis of agricultural input-output based on Cobb–Douglas production function in Hebei Province, North China, African Journal of Microbiology Research 5(32), pp 5916-5922.

bottom of page