Sustainable agriculture and farmland productivity nexus in Bangladesh: an empirical study

Abstract

This paper employs national aggregated data on the indicators of sustainable agricultural practice in Bangladesh for estimating a multivariate time-series model that produces plausible simulated outcomes for agricultural land productivity due to 1% change (increase and decrease) in the relevant sustainable agricultural activities. The estimated model has been subjected to a battery of sensitivity analyses and found robust. A plethora of papers exist that have utilized disaggregated primary data for model estimation purposes on this topic. However, authors that have employed national aggregated data claim that these are less susceptible to noticeable human errors and produce better outcomes for policy implications.