In this article, I present empirical evidence on the extent of crop diversification and assess its merits as a strategy for improving production efficiency in Afghanistan. The transformed Herfindahl–Harshman index is used to measure the scale and magnitude of crop diversification. I find a compelling evidence that diversifying production portfolios significantly improves production efficiencies. This finding is critical, given that the data show that nearly a third of the farm households do not diversify, achieving, on average, about 52% of potential revenues. The estimated efficiency scores reveal that, on average, the farm households in our analytical sample of over 7,000 households achieve 74% of potential revenue, with nearly 15% of households realizing less than 50% and about 23% between 50% and 70% of potential revenue. These results infer that there exist substantial inefficacies in agricultural production that can be eliminated by employing improved management practices without having to use additional inputs and production resources and rising cost of production. Our results are robust to potential endogeneity bias in crop diversification; I account for the endogeneity problem in the stochastic frontier analysis, by employing a recent estimation approach, using instrumental variable techniques. Mapping the spatial distribution of crop diversification index and estimated efficiency scores across the country revealed that districts with higher diversification levels correspond to higher efficiency indices. Aside from crop diversification, other socio-economic factors also have critical implications for efficiency; households with access to farm assets (such as land, cattle, oxen and tractor) and extension services appear to realize substantially higher production efficiencies. A direct policy recommendation that can be generated from the findings of this study is that crop diversification should be given more recognition by policymakers to enhance productivity and resilience in agriculture.
Evaluation of Manufacturing Competitiveness of Hubei Province Based on Stochastic Frontier Analysis
