Innovation context and technology traits explain heterogeneity across studies of agricultural technology adoption: A meta‐analysis

Dario Schulz, Jan Börner · 2022 · Journal of Agricultural Economics

Summary. A meta-analysis of 304 farm-level adoption studies across 60+ countries reveals that agricultural technology adoption depends on matching innovation characteristics with local contexts. Land, capital, and knowledge constraints matter most when technologies require those resources intensively, but constraints weaken where resources are abundant. Rural development and extension programs should tailor strategies to fit both geographic conditions and specific technology traits.

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@article{schulz-2022-innovation-context-technology-traits-explain,
  title   = {Innovation context and technology traits explain heterogeneity across studies of agricultural technology adoption: A meta‐analysis},
  author  = {Dario Schulz and Jan Börner},
  journal = {Journal of Agricultural Economics},
  year    = {2022},
  doi     = {10.1111/1477-9552.12521},
  url     = {https://doi.org/10.1111/1477-9552.12521}
}

TY  - JOUR
TI  - Innovation context and technology traits explain heterogeneity across studies of agricultural technology adoption: A meta‐analysis
AU  - Dario Schulz
AU  - Jan Börner
JO  - Journal of Agricultural Economics
PY  - 2022
DO  - 10.1111/1477-9552.12521
UR  - https://doi.org/10.1111/1477-9552.12521
ER  - 

Details

DOI

10.1111/1477-9552.12521

Countries

Germany

Regions

Europe

Categories

agtech, innovation-theory, regional-innovation-systems

Added

2026-04-28