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

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.

COVID-19's implications on agri-food systems and human health in Bangladesh

“…By 2019, Bangladesh ranked 4th in the world in rice production ( FAO, 2019 ) and was making significant improvements in producing vegetables, fish, livestock and poultry ( FAO, 2017 ). These improvements were due to investment in agricultural policy and infrastructure such as the introduction of High Yielding Varieties (HYV) of rice, use of modern inputs including chemical fertilizers, pesticides, irrigation, storage systems, use of subsidies, micro-credit supports and marketing capacity ( Gautam and Faruqee, 2016 ; Bagchi et al, 2019 ).…”

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