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Greening Modern Rice Farming Using Vermicompost and Its Impact on Productivity and Efficiency: An Empirical Analysis from Bangladesh

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  • Sanzidur Rahman

    (Faculty of Economics, Shandong University of Finance and Economics, Jinan 250001, China
    Development Consultant (Freelance), Newton Abbot, Devon TQ12 2BA, UK)

  • Basanta Kumar Barmon

    (Institutional Quality Assurance Cell (IQAC), East West University, A/2, Jahurul Islam City, Aftabnagar, Dhaka 1212, Bangladesh)

Abstract

Greening modern rice farming while improving productivity and reducing chemical use is a desirable goal for sustainable agriculture. This paper analyzes the impact of vermicomposting on productivity and efficiency of modern rice farming using a random sample of 340 farmers from the southwestern region of Bangladesh by applying a stochastic production frontier approach. Results reveal that productivity is significantly higher and the use of chemicals is significantly lower for vermicompost users as expected. However, profitability gain is not significantly different mainly due to the high cost of vermicompost. Use of vermicompost significantly increases productivity along with other conventional inputs and its users are relatively more technically efficient. Policy implications include investments to raise farmers’ awareness of the benefits of vermicomposting and support entrepreneurs to expand commercial production of vermicompost, which will synergistically curb the use of chemicals in modern rice farming while improving productivity and efficiency.

Suggested Citation

  • Sanzidur Rahman & Basanta Kumar Barmon, 2019. "Greening Modern Rice Farming Using Vermicompost and Its Impact on Productivity and Efficiency: An Empirical Analysis from Bangladesh," Agriculture, MDPI, vol. 9(11), pages 1-13, November.
    • Handle: RePEc:gam:jagris:v:9:y:2019:i:11:p:239-:d:285552
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    References listed on IDEAS

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    1. Rahman, Sanzidur, 2003. "Profit efficiency among Bangladeshi rice farmers," Food Policy, Elsevier, vol. 28(5-6), pages 487-503.
    2. Rahman, Sanzidur & Rahman, Md. Sayedur, 2014. "Exploring the potential and performance of maize production in Bangladesh," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 3(2), pages 1-9, January.
    3. 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.
    4. Sanzidur Rahman, 2010. "Women’s Labour Contribution to Productivity and Efficiency in Agriculture: Empirical Evidence From Bangladesh," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 318-342, June.
    5. M. N. Asadullah & S. Rahman, 2009. "Farm productivity and efficiency in rural Bangladesh: the role of education revisited," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 17-33.
    6. Rahman, Sanzidur & Barmon, Basanta K., 2012. "Energy productivity and efficiency of the ‘gher’ (prawn-fish-rice) farming system in Bangladesh," Energy, Elsevier, vol. 43(1), pages 293-300.
    7. Mohammad Jahangir Alam & Ismat Ara Begum & Sanzidur Rahman & Jeroen Buysse & Guido Van Huylenbroeck, 2014. "Tracing the impact of market reform on productivity growth of rice at the farm level in Bangladesh," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 19(3), pages 391-408, July.
    8. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Cited by:

    1. Md. Sadique Rahman & Monoj Kumar Majumder, 2021. "Drivers of adoption and impacts of an eco-friendly agricultural technology in Bangladesh," SN Business & Economics, Springer, vol. 1(12), pages 1-18, December.
    2. Jianxu Liu & Changrui Dong & Shutong Liu & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Sources of Total-Factor Productivity and Efficiency Changes in China’s Agriculture," Agriculture, MDPI, vol. 10(7), pages 1-18, July.
    3. Mauro Lizot & Flavio Trojan & Paulo Afonso, 2021. "Combining Total Cost of Ownership and Multi-Criteria Decision Analysis to Improve Cost Management in Family Farming," Agriculture, MDPI, vol. 11(2), pages 1-20, February.
    4. Krzysztof Piotr Pawłowski & Wawrzyniec Czubak & Jagoda Zmyślona, 2021. "Regional Diversity of Technical Efficiency in Agriculture as a Results of an Overinvestment: A Case Study from Poland," Energies, MDPI, vol. 14(11), pages 1-20, June.

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