IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v8y2018i7p98-d155580.html
   My bibliography  Save this article

Joint Determination of Improved Variety Adoption, Productivity and Efficiency of Pulse Production in Bangladesh: A Sample-Selection Stochastic Frontier Approach

Author

Listed:
  • Sanzidur Rahman

    (School of Geography, Earth and Environmental Sciences, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK)

  • Md. Abdul Matin

    (Agricultural Economics Division, Bangladesh Agricultural Research Institute, Gazipur 1701, Bangladesh)

  • Md. Kamrul Hasan

    (Agricultural Statistics and ICT Division, Bangladesh Agricultural Research Institute, Gazipur 1701, Bangladesh)

Abstract

Pulses are an important source of protein and have recently gained international prominence. This paper jointly identifies the determinants of improved variety adoption, productivity and efficiency of 2700 pulse producers from 10 pulse-growing districts of Bangladesh using a Sample-selection Stochastic Production Frontier model. Result revealed that the decision to adopt improved pulse technology is significantly influenced by yield, farming experience, education and extension contact while subsistence pressure discourages adoption. Land, fertilizer, mechanical power, pesticides and labour are the significant determinants of improved pulse productivity. Productivity is significantly lower for improved varieties of lentil, blackgram and chickpea as compared to mungbean and for farmers who use own-sourced seed. Location of the growing area does matter. Improved pulse productivity is significantly higher in five of the ten districts. The mean level of technical efficiency of improved pulses is estimated at 0.73, implying that productivity can be substantially improved by eliminating inefficiency. Policy implications include investments in R&D and extension services by involving farmers in R&D endeavours and enhancing farmer-based seed production and distribution schemes to develop and disseminate improved pulse technology, improving farmers’ education and tenurial reforms to facilitate smooth operation of the land market and mechanical power services to increase pulse productivity and production in Bangladesh.

Suggested Citation

  • Sanzidur Rahman & Md. Abdul Matin & Md. Kamrul Hasan, 2018. "Joint Determination of Improved Variety Adoption, Productivity and Efficiency of Pulse Production in Bangladesh: A Sample-Selection Stochastic Frontier Approach," Agriculture, MDPI, vol. 8(7), pages 1-16, July.
  • Handle: RePEc:gam:jagris:v:8:y:2018:i:7:p:98-:d:155580
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/8/7/98/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/8/7/98/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Quddus, M.A, 2009. "Crop production growth in different agro-ecological zones of Bangladesh," Journal of the Bangladesh Agricultural University, Bangladesh Agricultural University Research System (BAURES), vol. 7.
    3. Miah, M. A. Monayem & Akter, M. S. & Bakr, M. A., 2004. "Status Of Pulses Varieties Adoption In Bangladesh: A Farm Level Study," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 27(2), pages 1-16, December.
    4. William Greene, 2006. "A General Approach to Incorporating Selectivity in a Model," Working Papers 06-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    5. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    6. Rahman, Sanzidur, 2011. "Resource use efficiency under self-selectivity: the case of Bangladeshi rice producers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 1-18.
    7. REDDY, Amaresh A., 2010. "Regional Disparities In Food Habits And Nutritional Intake In Andhra Pradesh, India," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 10(2).
    8. Sanzidur Rahman & Aree Wiboonpongse & Songsak Sriboonchitta & Yaovarate Chaovanapoonphol, 2009. "Production Efficiency of Jasmine Rice Producers in Northern and North‐eastern Thailand," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 419-435, June.
    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. Jules Ngango & Seung Gyu Kim, 2019. "Assessment of Technical Efficiency and Its Potential Determinants among Small-Scale Coffee Farmers in Rwanda," Agriculture, MDPI, vol. 9(7), pages 1-12, July.

    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. Muratbek Baglan & Gershom Endelani Mwalupaso & Xue Zhou & Xianhui Geng, 2020. "Towards Cleaner Production: Certified Seed Adoption and Its Effect on Technical Efficiency," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    2. Gershom Endelani Mwalupaso & Shangao Wang & Sanzidur Rahman & Essiagnon John-Philippe Alavo & Xu Tian, 2019. "Agricultural Informatization and Technical Efficiency in Maize Production in Zambia," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    3. Wollni, Meike & Brümmer, Bernhard, 2012. "Productive efficiency of specialty and conventional coffee farmers in Costa Rica: Accounting for technological heterogeneity and self-selection," Food Policy, Elsevier, vol. 37(1), pages 67-76.
    4. Kenichi Kashiwagi & Erina Iwasaki, 2020. "Effect of agglomeration on technical efficiency of small and medium‐sized garment firms in Egypt," African Development Review, African Development Bank, vol. 32(1), pages 14-26, March.
    5. Orkhan Guliyev & Aijun Liu & Gershom Endelani Mwalupaso & Jarkko Niemi, 2019. "The Determinants of Technical Efficiency of Hazelnut Production in Azerbaijan: An Analysis of the Role of NGOs," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    6. Khanal, Uttam & Wilson, Clevo & Rahman, Sanzidur & Lee, Boon & Hoang, Vincent, 2020. "Smallholder farmers’ adaptation to climate change and its potential contribution to UN’s sustainable development goals of zero hunger and no poverty," MPRA Paper 106917, University Library of Munich, Germany, revised 07 Sep 2020.
    7. Jianxu Liu & Sanzidur Rahman & Songsak Sriboonchitta & Aree Wiboonpongse, 2017. "Enhancing Productivity and Resource Conservation by Eliminating Inefficiency of Thai Rice Farmers: A Zero Inefficiency Stochastic Frontier Approach," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    8. Khanal, Uttam & Wilson, Clevo & Shankar, Sriram & Hoang, Viet-Ngu & Lee, Boon, 2018. "Farm performance analysis: Technical efficiencies and technology gaps of Nepalese farmers in different agro-ecological regions," Land Use Policy, Elsevier, vol. 76(C), pages 645-653.
    9. Sanzidur Rahman, 2011. "Resource use efficiency under self‐selectivity: the case of Bangladeshi rice producers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 273-290, April.
    10. Boris Bravo-Ureta & William Greene & Daniel Solís, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
    11. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    12. Abdul-Rahaman, Awal & Abdulai, Awudu, 2018. "Do farmer groups impact on farm yield and efficiency of smallholder farmers? Evidence from rice farmers in northern Ghana," Food Policy, Elsevier, vol. 81(C), pages 95-105.
    13. repec:ags:bdbjaf:258303 is not listed on IDEAS
    14. Rouf, Abdur, 2015. "Conventional vs Natural Flood Control and Drainage Managements in a Tidal Coastal Zone: An Evaluation from a Productive Efficiency Perspective," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 256023, Agricultural Economics Society.
    15. Lisandro Roco & Boris Bravo-Ureta & Alejandra Engler & Roberto Jara-Rojas, 2017. "The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach," Sustainability, MDPI, vol. 9(9), pages 1-16, September.
    16. Sanzidur Rahman & Aree Wiboonpongse & Songsak Sriboonchitta & Yaovarate Chaovanapoonphol, 2009. "Production Efficiency of Jasmine Rice Producers in Northern and North‐eastern Thailand," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 419-435, June.
    17. Kexin Li & Jianxu Liu & Yuting Xue & Sanzidur Rahman & Songsak Sriboonchitta, 2022. "Consequences of Ignoring Dependent Error Components and Heterogeneity in a Stochastic Frontier Model: An Application to Rice Producers in Northern Thailand," Agriculture, MDPI, vol. 12(8), pages 1-17, July.
    18. Bravo-Ureta, Boris E. & Higgins, Daniel & Arslan, Aslihan, 2020. "Irrigation infrastructure and farm productivity in the Philippines: A stochastic Meta-Frontier analysis," World Development, Elsevier, vol. 135(C).
    19. Bangwayo-Skeete, Prosper F. & Bezabih, Mintewab & Zikhali, Precious, 2010. "Are Zimbabwe’s Fast Track Land Reform Farms more Technically Efficient than Communal Farms?," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 49(4), pages 1-21.
    20. Rahman, M Sadique & Kazal, Mohammad Mizanul Haque & Rayhan, Shah Johir, 2020. "Improved Management Practices Adoption And Technical Efficiency Of Shrimp Farmers In Bangladesh: A Sample Selection Stochastic Production Frontier Approach," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 41(1), July.
    21. Uttam Khanal & Clevo Wilson & Boon Lee & Viet-Ngu Hoang, 2018. "Do climate change adaptation practices improve technical efficiency of smallholder farmers? Evidence from Nepal," Climatic Change, Springer, vol. 147(3), pages 507-521, 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:8:y:2018:i:7:p:98-:d:155580. 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.