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Research Article Open access CC BY 4.0

Diffusion and Growth Trajectories of Bio-Energy Crops in Agrarian Economies: An Extension and Production Analysis

Abhilasha Deepa Minz, Kirti Kumud Binjha

Journal of Advances in Biology & Biotechnology · pp. 522–531 · Published 24 Aug 2026

10.9734/jabb/2026/v29i94330

Abstract

The global transition towards sustainable bio-energy relies heavily on scaling dedicated energy feedstocks across agrarian economies. However, field-level adoption and yield optimisation depend on the strength of public agricultural extension infrastructure. This study evaluates the diffusion, yield productivity, and public extension efficiency associated with primary bio-energy feedstocks (sugarcane, cassava, maize, and oil palm) across 45 agrarian economies in Sub-Saharan Africa (SSA), South/Southeast Asia (SSEA), and Latin America & the Caribbean (LAC) from 2000 to 2023 using long-term FAOSTAT and ASTI panel data. Combining Bass innovation diffusion modelling, panel econometrics (Driscoll-Kraay and System-GMM), and Data Envelopment Analysis (DEA), we analyse macro-level adoption trajectories and technology transfer efficiency. The results reveal that bio-energy output growth across all regions was predominantly driven by harvested area expansion (sugarcane CAGR 3.42% in LAC; oil palm CAGR 4.12% in SSEA) rather than intensive yield optimisation. Fitting the Bass model indicates a structural deficit in top-down institutional innovation drive (p) in SSA (p=.006) relative to LAC (p=0.028), forcing lower-income nations to rely on informal peer imitation (q) and delaying peak adoption (t^*≈2028). Fixed-effects panel regressions demonstrate a statistically significant positive yield elasticity with respect to lagged extension agent density (β=0.185, p<.001), indicating that a 10% increase in extension personnel per 10,000 workers is associated with a 1.85% increase in feedstock productivity per hectare. Furthermore, DEA efficiency scores reveal severe technical slacks in public advisory delivery in SSA (0.412) compared to LAC (0.842). We conclude that scaling bio-energy crops sustainably requires moving beyond hardware input delivery towards strategic investment in extension human capital and modernised advisory networks to bridge persistent yield frontiers.

Agricultural extension bass diffusion model Bio-energy feedstocks panel econometrics technology transfer yield elasticity

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