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Growth in Agricultural Productivity and Its Components in Bangladeshi Regions (1987–2009): An Application of Bootstrapped Data Envelopment Analysis (DEA)

Author

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  • Mita Bagchi

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China
    Department of Genetics and Genome Biology, College of Life Sciences, University of Leicester, University Road, Leicester LE1 7RH, UK)

  • Sanzidur Rahman

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

  • Yao Shunbo

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China)

Abstract

The present study applies a bootstrapped data envelopment analysis (DEA) procedure to compute bias-corrected measures of agricultural total factor productivity (TFP) change and its components (technical change and technical efficiency change) using a panel data of 19 regions of Bangladesh covering a 23-year period (1987–2009), thereby overcoming the limitation of the lack of statistical inference of the conventional non-parametric DEA. Results revealed that overall productivity grew at a modest rate of 0.03%, mainly powered by technological progress at 0.03% and a negligible decline in technical efficiency at 0.004% with large disparities amongst regions. Six regions in the middle order shifted ranks with regard to TFP change following bias correction. The estimated confidence intervals demonstrated that many regions underwent either progress or regress in productivity performance over time. Investments in research and development (R&D), agricultural extension, and crop diversification are suggested to improve regional inequality and declining technical efficiency.

Suggested Citation

  • Mita Bagchi & Sanzidur Rahman & Yao Shunbo, 2019. "Growth in Agricultural Productivity and Its Components in Bangladeshi Regions (1987–2009): An Application of Bootstrapped Data Envelopment Analysis (DEA)," Economies, MDPI, vol. 7(2), pages 1-16, May.
    • Handle: RePEc:gam:jecomi:v:7:y:2019:i:2:p:37-:d:228599
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