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Exploring the Future Potential of Jute in Bangladesh

Author

Listed:
  • Sanzidur Rahman

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

  • Mohammad Mizanul Haque Kazal

    (Department of Development and Poverty Studies, Sher-e-Bangla Agricultural University, Dhaka 1207, Bangladesh
    These authors contributed equally to this work.)

  • Ismat Ara Begum

    (Department of Agricultural Economics, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh
    These authors contributed equally to this work.)

  • Mohammad Jahangir Alam

    (Department of Agribusiness and Marketing, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh
    These authors contributed equally to this work.)

Abstract

The study assesses the future potential of the jute sector in Bangladesh by examining its growth performance, international competitiveness, profitability, and production efficiency using national time-series data of over the period 1973–2013 and farm survey data from 289 farmers from two major jute growing areas of Bangladesh. Results revealed that the jute sector has experienced substantial growth in area, production, productivity, prices, and exports. However, productivity has stagnated during the latter 10-year period (2004–2013), while it grew at a rate of 1.3% per annum (p.a.) during the first 31-year period (1973–2003). Only traditional jute production is globally competitive, although financial profitability of white jute is relatively higher (benefit cost ratio = 1.24 and 1.17, respectively). Land, labor, and irrigation are the main productivity drivers for jute. The mean production efficiency of jute is estimated at 75% indicating substantial scope to improve yield by eliminating inefficiency. Marginal farmers are relatively inefficient. Policy implications include investments in research and development, irrigation, and tenurial reform and export protection for white jute in order to revive the sector and boost export earnings.

Suggested Citation

  • Sanzidur Rahman & Mohammad Mizanul Haque Kazal & Ismat Ara Begum & Mohammad Jahangir Alam, 2017. "Exploring the Future Potential of Jute in Bangladesh," Agriculture, MDPI, vol. 7(12), pages 1-16, November.
    • Handle: RePEc:gam:jagris:v:7:y:2017:i:12:p:96-:d:120345
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    References listed on IDEAS

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    1. International Monetary Fund, 2005. "Bangladesh: Poverty Reduction Strategy Paper," IMF Staff Country Reports 2005/410, International Monetary Fund.
    2. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    3. Rahman, Sanzidur, 2009. "Whether crop diversification is a desired strategy for agricultural growth in Bangladesh?," Food Policy, Elsevier, vol. 34(4), pages 340-349, August.
    4. Shahabuddin, Quazi & Dorosh, Paul A., 2002. "Comparative advantage in Bangladesh crop production," MTID discussion papers 47, International Food Policy Research Institute (IFPRI).
    5. 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.
    6. Sanzidur Rahman & Mohammad Mizanul Haque Kazal & Ismat Ara Begum & Mohammad Jahangir Alam, 2016. "Competitiveness, Profitability, Input Demand and Output Supply of Maize Production in Bangladesh," Agriculture, MDPI, vol. 6(2), pages 1-14, May.
    7. 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.
    8. 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.
    9. Gonzales, Leonardo A. & Kasryno, Faisal & Perez, Nicostrato D. & Rosegrant, Mark W., 1993. "Economic incentives and comparative advantage in Indonesian food crop production:," Research reports 93, International Food Policy Research Institute (IFPRI).
    10. M. Ghaffar Chaudhry & Nighat Naheed Kayani, 1991. "Implicit Taxation of Pakistan's Agriculture: An Analysis of the Commodity and Input Prices," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 30(3), pages 225-242.
    11. 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.
    12. Amarender Reddy, A. & Bantilan, Ma Cynthia S., 2012. "Competitiveness and technical efficiency: Determinants in the groundnut oil sector of India," Food Policy, Elsevier, vol. 37(3), pages 255-263.
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    5. Md. Abu Sadat & Md. Zablul Tareq & Arif Mohammad Mojakkir & Mir Mehedi Hasan & Md. Jewel Alam, 2020. "Moisture Content And Variety Of Jute Seed Is Affected By Long Term Seed Storage," Malaysian Journal of Sustainable Agriculture (MJSA), Zibeline International Publishing, vol. 5(1), pages 24-28, December.
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