IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v9y2019i11p245-d287410.html
   My bibliography  Save this article

Efficiency in the Rice Farming: Evidence from Northwest Bangladesh

Author

Listed:
  • Shokhrukh-Mirzo Jalilov

    (CSIRO Land and Water, Black Mountain Science and Innovation Park, Canberra ACT 2601, Australia)

  • Mohammed Mainuddin

    (CSIRO Land and Water, Black Mountain Science and Innovation Park, Canberra ACT 2601, Australia)

  • Md. Maniruzzaman

    (Bangladesh Rice Research Institute, Gazipur 1707, Bangladesh)

  • Md. Mahbubul Alam

    (Bangladesh Rice Research Institute, Gazipur 1707, Bangladesh)

  • Md. Towfiqul Islam

    (Bangladesh Rice Research Institute, Gazipur 1707, Bangladesh)

  • Md. Jahangir Kabir

    (Bangladesh Rice Research Institute, Gazipur 1707, Bangladesh)

Abstract

Rice production takes a leading role in the agricultural sector of Bangladesh contributing to 35% of the gross value added of total agricultural production (December 2011), employing 48% of the rural workforce. While the country achieved self-sufficiency in rice, continuous population growth requires Bangladesh to further increase the production of this staple cereal. However, considering the steady decline of the cropped area and available rural workforce, such increase could be reached by increasing the efficiency in rice production. This study aims to examine the resource use efficiency and its drivers in the performance of rice farms in the Northwest region of Bangladesh, which is considered as the food bowl of the country. The study applied a two-stage approach of Data Envelopment Analysis followed by Ordinary Least Squares to estimate the impact of contextual variables on rice production. The empirical research results show that 83% of rice farms among the sample of 184 farms are efficient being located on efficiency frontier, while the 2% farms are inefficient and could improve their efficiency. The remaining 15% of farms are at level that is close to the efficiency frontier. Such factors as the cost of irrigation, pest control, and crop harvesting and carrying are the main drivers of efficiency amongst the considered rice farms.

Suggested Citation

  • Shokhrukh-Mirzo Jalilov & Mohammed Mainuddin & Md. Maniruzzaman & Md. Mahbubul Alam & Md. Towfiqul Islam & Md. Jahangir Kabir, 2019. "Efficiency in the Rice Farming: Evidence from Northwest Bangladesh," Agriculture, MDPI, vol. 9(11), pages 1-14, November.
    • Handle: RePEc:gam:jagris:v:9:y:2019:i:11:p:245-:d:287410
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/9/11/245/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/9/11/245/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    2. Basanta R. Dhungana & Peter L. Nuthall & Gilbert V. Nartea, 2004. "Measuring the economic inefficiency of Nepalese rice farms using data envelopment analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 347-369, June.
    3. Kevin Cullinane & Dong-Wook Song & Tengfei Wang, 2005. "The Application of Mathematical Programming Approaches to Estimating Container Port Production Efficiency," Journal of Productivity Analysis, Springer, vol. 24(1), pages 73-92, September.
    4. John McDonald, 2010. "Efficiency in the Domesday economy, 1086: evidence from Wiltshire estates," Applied Economics, Taylor & Francis Journals, vol. 42(25), pages 3231-3240.
    5. Rajiv D. Banker & Robert F. Conrad & Robert P. Strauss, 1986. "A Comparative Application of Data Envelopment Analysis and Translog Methods: An Illustrative Study of Hospital Production," Management Science, INFORMS, vol. 32(1), pages 30-44, January.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    8. Rolf Färe & Shawna Grosskopf & Giannis Karagiannis & Dimitris Margaritis, 2017. "Data envelopment analysis and its related linear programming models," Annals of Operations Research, Springer, vol. 250(1), pages 37-43, March.
    9. Kelvin Balcombe & Iain Fraser & Laure Latruffe & Mizanur Rahman & Laurence Smith, 2008. "An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming," Applied Economics, Taylor & Francis Journals, vol. 40(15), pages 1919-1925.
    10. Avkiran, Necmi Kemal, 2015. "An illustration of dynamic network DEA in commercial banking including robustness tests," Omega, Elsevier, vol. 55(C), pages 141-150.
    11. Khushalani, Jaya & Ozcan, Yasar A., 2017. "Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA)," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 15-23.
    12. Cook, Wade D. & Tone, Kaoru & Zhu, Joe, 2014. "Data envelopment analysis: Prior to choosing a model," Omega, Elsevier, vol. 44(C), pages 1-4.
    13. Tim Coelli & Sanzidur Rahman & Colin Thirtle, 2002. "Technical, Allocative, Cost and Scale Efficiencies in Bangladesh Rice Cultivation: A Non‐parametric Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(3), pages 607-626, November.
    14. Xiancun Hu & Chunlu Liu, 2016. "Profitability performance assessment in the Australian construction industry: a global relational two-stage DEA method," Construction Management and Economics, Taylor & Francis Journals, vol. 34(3), pages 147-159, March.
    15. Abdul Wadud & Ben White, 2000. "Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1665-1673.
    16. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    17. Hong-Oanh Nguyen & Hong-Van Nguyen & Young-Tae Chang & Anthony T. H. Chin & Jose Tongzon, 2016. "Measuring port efficiency using bootstrapped DEA: the case of Vietnamese ports," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(5), pages 644-659, July.
    18. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shuhua Zhang & Bingjun Li & Yingjie Yang, 2021. "Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis," Agriculture, MDPI, vol. 11(12), pages 1-21, December.
    2. Jalilov, Shokhrukh-Mirzo & Rahman, Wakilur & Palash, Salauddin & Jahan, Hasneen & Mainuddin, Mohammed & Ward, Frank A., 2022. "Exploring strategies to control the cost of food security: Evidence from Bangladesh," Agricultural Systems, Elsevier, vol. 196(C).
    3. Rahaman, Md Shajedur & Haque, Sadika & Sarkar, Md Abdur Rouf & Rahman, Mohammad Chhiddikur & Reza, Md Salim & Islam, Mohammad Ariful & Siddique, Md Abu Bakr, 2021. "A Cost Efficiency Analysis of Boro Rice Production in Dinajpur District of Bangladesh," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 6(1), pages 67-77.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amar Oukil & Slim Zekri, 2021. "Investigating farming efficiency through a two stage analytical approach: Application to the agricultural sector in Northern Oman," Papers 2104.10943, arXiv.org.
    2. Watto, Muhammad Arif & Mugera, Amin William, 2013. "Measuring Groundwater Irrigation Efficiency in Pakistan: A DEA Approach Using the Sub-vector and Slack-based Models," Working Papers 144943, University of Western Australia, School of Agricultural and Resource Economics.
    3. Lee, Boon L. & Wilson, Clevo & Simshauser, Paul & Majiwa, Eucabeth, 2021. "Deregulation, efficiency and policy determination: An analysis of Australia's electricity distribution sector," Energy Economics, Elsevier, vol. 98(C).
    4. lo Storto, Corrado, 2020. "Performance evaluation of social service provision in Italian major municipalities using Network Data Envelopment Analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    5. Quintano, Claudio & Mazzocchi, Paolo & Rocca, Antonella, 2021. "Evaluation of the eco-efficiency of territorial districts with seaport economic activities," Utilities Policy, Elsevier, vol. 71(C).
    6. Bright O. Asante & Renato A. Villano & Omphile Temoso, 2024. "Drivers of integrated crop–livestock farming system’s efficiency for smallholder farmers in the forest-savanna transition agro-ecological zone of Ghana," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 29429-29451, November.
    7. Qian Zhang & Huaxing Zhang & Dan Zhao & Baodong Cheng & Chang Yu & Yanli Yang, 2019. "Does Urban Sprawl Inhibit Urban Eco-Efficiency? Empirical Studies of Super-Efficiency and Threshold Regression Models," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    8. Benítez-Peña, Sandra & Bogetoft, Peter & Romero Morales, Dolores, 2020. "Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach," Omega, Elsevier, vol. 96(C).
    9. Halkos, George & Petrou, Kleoniki Natalia, 2018. "Assessment of national waste generation in EU Member States’ efficiency," MPRA Paper 84590, University Library of Munich, Germany.
    10. Akbari, Negar & Jones, Dylan & Treloar, Richard, 2020. "A cross-European efficiency assessment of offshore wind farms: A DEA approach," Renewable Energy, Elsevier, vol. 151(C), pages 1186-1195.
    11. Muhammad Arif Watto & Amin W. Mugera, 2014. "Measuring Production and Irrigation Efficiencies of Rice Farms: Evidence from the Punjab Province, Pakistan," Asian Economic Journal, East Asian Economic Association, vol. 28(3), pages 301-322, September.
    12. Shiping Mao & Marios Dominikos Kremantzis & Leonidas Sotirios Kyrgiakos & George Vlontzos, 2022. "R&D Performance Evaluation in the Chinese Food Manufacturing Industry Based on Dynamic DEA in the COVID-19 Era," Agriculture, MDPI, vol. 12(11), pages 1-19, November.
    13. Qingxian An & Xiangyang Tao & Bo Dai & Jinlin Li, 2020. "Modified Distance Friction Minimization Model with Undesirable Output: An Application to the Environmental Efficiency of China’s Regional Industry," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1047-1071, April.
    14. Hisham Alidrisi & Mehmet Emin Aydin & Abdullah Omer Bafail & Reda Abdulal & Shoukath Ali Karuvatt, 2019. "Monitoring the Performance of Petrochemical Organizations in Saudi Arabia Using Data Envelopment Analysis," Mathematics, MDPI, vol. 7(6), pages 1-16, June.
    15. Madau, Fabio A., 2012. "Technical and scale efficiency in the Italian Citrus Farming: A comparison between Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis(DEA) Models," MPRA Paper 41403, University Library of Munich, Germany.
    16. Congcong Yang & Alfred Taudes & Guozhi Dong, 2017. "Efficiency analysis of European Freight Villages: three peers for benchmarking," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 91-122, March.
    17. Visani, Franco & Boccali, Filippo, 2020. "Purchasing price assessment of leverage items: A Data Envelopment Analysis approach," International Journal of Production Economics, Elsevier, vol. 223(C).
    18. Vladimír Holý, 2022. "The impact of operating environment on efficiency of public libraries," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 395-414, March.
    19. Vincent Charles & Ioannis E. Tsolas & Tatiana Gherman, 2018. "Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector," Annals of Operations Research, Springer, vol. 269(1), pages 81-102, October.
    20. Pyoungsoo Lee & You-Jin Park, 2017. "Eco-Efficiency Evaluation Considering Environmental Stringency," Sustainability, MDPI, vol. 9(4), pages 1-18, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:9:y:2019:i:11:p:245-:d:287410. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.