The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana.

By Liane Faltermeier, Awudu Abdulai. 2009

119 citations recorded by the source corpus.

Subfields: General Agricultural and Biological Sciences, Safety Research, Soil Science

View Paper: https://www.semanticscholar.org/paper/c2043967cec921efee8c2e9ed95b8e6301d03e25

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Agricultural and Biological Sciences

1. A. Alene
2. J. Manda
3. M. Kassie
4. Awudu Abdulai
5. M. Khonje
6. Mekbib G. Haile
7. Degnet Abebaw
8. Victor Owusu

In Safety Research

1. M. Kassie
2. Mekbib G. Haile
3. Degnet Abebaw
4. Victor Owusu
5. S. Abdul-Rahman
6. C. Ragasa
7. A. Chapoto
8. R. Ghimire

In Soil Science

1. A. Alene
2. J. Manda
3. M. Kassie
4. Mekbib G. Haile
5. Victor Owusu
6. Degnet Abebaw
7. S. Abdul-Rahman
8. Awudu Abdulai

Citations in the corpus

• Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia (2015, background): “However, if d is to accurately measure the impact of adoption of improved maize varieties on outcome variables, farmers should be randomly assigned to adoption or non-adoption groups (Faltermeier & Abdulai, 2009).”
• Limits to Green Revolution in rice in Africa: The case of Ghana (2017, background): “Most studies on rice in Ghana cover the Northern region (see Owusu Coffie et al. 2016; deGraft-Johnson et al. 2014; Dogbe et al. 2014; Faltermeier and Abdulai 2009; Yiridoe, Langyintuo, and Dogbe 2006), given the historical importance of that region, but geographical distribution has shifted in…”
• Non-farm work and food security among farm households in Northern Ghana (2011, methodology): “The propensity core can be predicted with either the logit or probit model (Hujer et al, 2004; Sianesi, 2004; Faltermeier and Abdulai, 2009).5 The predicted propensity scores can then be used to estimate treatment effects.”
• Factors Affecting Adoption of Improved Rice Varieties among Rural Farm Households in Central Nepal (2015, background): “However, most of the new agricultural technologies have not fully achieved the desired goals (Faltermeier and Abdulai, 2009).”
• The impact of cooperatives on agricultural technology adoption: Empirical evidence from Ethiopia (2013, methodology): “We run the sensitivity analysis for our estimate on fertilizer adoption since a sensitivity analysis for insignificant results is not meaningful (Hujer et al., 2004; Faltermeier and Abdulai, 2009).”