Innovation context and technology traits explain heterogeneity across studies of agricultural technology adoption: A meta‐analysis-Reference-Cited by-同舟云学术

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

Published:2022-11-22 Issue: Volume: Page:
ISSN:0021-857X
Container-title:Journal of Agricultural Economics
language:en
Short-container-title:J Agricultural Economics

Author:

Schulz Dario¹^ORCID,Börner Jan¹

Affiliation:

1. Institute for Food and Resource Economics (ILR) and the Center for Development Research (ZEF) University of Bonn Bonn Germany

Funder

Deutsche Forschungsgemeinschaft

ASCRS Research Foundation

Publisher

Wiley

Subject

Economics and Econometrics,Agricultural and Biological Sciences (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1477-9552.12521

Reference79 articles.

1. On the Theory of Induced Invention

2. The Porter Hypothesis at 20: Can Environmental Regulation Enhance Innovation and Competitiveness?

3. Anderson J.R. Feder G.&Ganguly S.(2006)The rise and fall of training and visit extension: an Asian mini‐drama with an African epilogue. World Bank Policy Research Working Paper 3928.

4. A meta-analysis of the adoption of agricultural technology in Sub-Saharan Africa

5. Arslan A. Floress K.M. Lamanna C. Lipper L. Asfaw S.&Rosenstock T.(2020)The adoption of improved agricultural technologies. A meta‐analysis for Africa. IFAD Research Series 63.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Understanding the heterogeneous effect of microcredit access on agricultural technology adoption by rural farmers in Ethiopia: A meta-analysis;Heliyon;2024-08

2. Revisiting the critical success factors of entrepreneurship to promote Chinese agriculture systems: A multi-criteria decision-making approach;Socio-Economic Planning Sciences;2024-08

3. Associations between women’s bargaining power and the adoption of rust-resistant wheat varieties in Ethiopia;World Development;2024-06

4. Using machine‐learning methods in meta‐analyses: An empirical application on consumer acceptance of meat alternatives;Applied Economic Perspectives and Policy;2024-05-27

5. Evaluating the impact of improved technology adoption in traditional poultry farming on potential outcomes of farmers: evidence from rural Togo;Cogent Food & Agriculture;2024-05-16