Econometric analysis of the determinants of adoption of alley farming by farmers in the forest zone of southwest Cameroon

By A. Adesina, D. Mbila, G. Nkamleu, D. Endamana. 2000

419 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Forestry, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/7eedc21e276daf2ad5b14c262fa3671d907241c7

How researchers see this paper

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

In Ecology, Evolution, Behavior and Systematics

1. Olu Ajayi
2. V. Manyong
3. O. Erenstein
4. Akhter Ali
5. Amber Peterman
6. S. Benin
7. E. Nkonya
8. G. Nkamleu

In Forestry

1. Akhter Ali
2. O. Erenstein

In Global and Planetary Change

1. Olu Ajayi
2. Akhter Ali
3. O. Erenstein
4. Amber Peterman
5. S. Zbinden
6. E. Nkonya
7. Erln Siiic
8. David R. Lee

Citations in the corpus

• Taking stock of agroforestry adoption studies (2003, background): “Adesina and Chinau 2001 Nigeria logit alley farming Adesina et al. 2000 Cameroon logit alley farming Ayuk 1996 Africa logit live hedges Caviglia and Kahn 2001 Brazil probit inter-cropping perennials Lapar and Pandey 1999 Philippines probit contour hedgerows Pattanayak and Mercer 1998 Philippines p”
• Paying for Environmental Services: An Analysis of Participation in Costa Rica’s PSA Program (2005, background): “Finally, as above, diffusion of information has been previously shown to be an important factor in such participation programs (Adesina & Chianu, 2002; Adesina et al., 2000; Besley & Case, 1993; Thacher et al., 1997).”
• Location and uptake: integrated household and GIS analysis of technology adoption and land use, with application to smallholder dairy farms in Kenya (2002, background): “At the end of the scale, many farm technology uptake studies include no explicit spatial variables at all (Rahm and Huffman, 1984; Polson and Spencer, 1991; Nkonya et al., 1997; Adesina et al., 2000; Sall et al., 2000).”
• Returns to spending on agricultural extension: the case of the National Agricultural Advisory Services (NAADS) program of Uganda† (2011, background): “Gender imbalance in service providers in Uganda is consistent with the general knowledge that women experience limited access to agricultural extension (e.g., Doss, 2001; Adesina et al., 2000; Staudt, 1986).”
• Determinants of farmers' decision to adopt or not adopt inorganic fertilizer in the savannas of northern Nigeria (2004, neutral): “Many past studies have demonstrated that farmer and village characteristics mostly influence adoption of improved agricultural technologies Adesina et al. 2000; Ramji et al. 2002.”
• Socio-economic factors influencing adoption of improved fallow practices among smallholder farmers in western Tanzania (2008, result): “Our study supports the findings for (Omoregbee, 1998; Adesina et al., 2001) and (Boahene et al., 1999) that farmers with higher extension contact are more likely to adopt agroforestry technology.”
• Factors affecting the adoption of agroforestry practices by farmers in Cameroon (2005, background): “…after adoption (Patanayak et al. 2003) Many researchers have lamented the fact that adoption and diffusion have lagged behind scientific and technological advances in agroforestry research, reducing the potential impacts of agroforestry-based development projects (Adesina et al. 2000, Mercer 2004).”
• Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan (2017, positive): “Our findings align with other studies, including those that show the positive effects of institutional membership (Adesina et al., 2000) and extension services (Deressa et al., 2009), with extension services enhancing the availability of information of the climate risk and adaptation options…”
• Adoption of renewable soil fertility replenishment technologies in the southern African region: Lessons learnt and the way forward (2007, background): “…constrained by insecurity of tenure and absence of private property rights on land (Honlonkou, 2004; Unruh, 2001; Ayuk, 2001; Sturmheit, 1990) while other studies reported that land security issues do not necessarily constrain adoption of RSFR (Place et al. , 2002; Adesina et al. , 2000).”
• Determinants of farmers' adoption and adaptation of alley farming technology in Nigeria (2002, neutral): “Where the interest is on examining the role of farm and operator characteristics affecting adoption decisions, studies have used choice models such as Tobit (Norris and Batie 1987; Adesina and Zinnah 1993; Adesina and Baidu-Forson 1995) or Logit (Adesina et al. 2000; Adesina 1996).”
• Adoption of improved fallow technology for soil fertility management in Zambia: Empirical studies and emerging issues (2003, methodology): “‘experimenters’ or ‘adopters’ (Adesina et al. 2000). In another study, Pisanelli et al. (2003) distinguished”
• A review of empirical evidence on gender differences in nonland agricultural inputs, technology, and services in developing countries (2014, background): “For example, in Cameroon male plot owners are significantly more likely to adopt alley farming techniques controlling for other inputs), which the authors attribute to potential disincentives to invest because of lack of land and tree property rights for women (Adesina et al., 2000).”
• Non-timber forest products and their contribution to households income around Falgore Game Reserve in Kano, Nigeria (2017, methodology): “Logistic regression analysis was used to determine factors that influence collection and utilization of NTFPs by households (Maddala 1983; Adesina et al. 2000).”