2020
DOI: 10.1016/j.sciaf.2020.e00276
|View full text |Cite
|
Sign up to set email alerts
|

Post-harvest technology change in cassava processing: A choice paradigm

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(4 citation statements)
references
References 16 publications
0
4
0
Order By: Relevance
“…In practice, propensity scores are estimated using the predicted probabilities from a binary qualitative choice model (Logit or Probit), explaining participation in a treatment or program by a large number of observable characteristics. However, the choice of the appropriate model depends on the nature of the program (Adejumo and al., 2020). In our study, the logistic regression model is used to model propensity scores.…”
Section: Presentation Of the Propensity Score Matching Methodsmentioning
confidence: 99%
“…In practice, propensity scores are estimated using the predicted probabilities from a binary qualitative choice model (Logit or Probit), explaining participation in a treatment or program by a large number of observable characteristics. However, the choice of the appropriate model depends on the nature of the program (Adejumo and al., 2020). In our study, the logistic regression model is used to model propensity scores.…”
Section: Presentation Of the Propensity Score Matching Methodsmentioning
confidence: 99%
“…In practice, propensity scores are estimated using the predicted probabilities from a binary qualitative choice model (Logit or Probit), explaining participation in a treatment or program by a large number of observable characteristics. However, the choice of the appropriate model depends on the nature of the program (Adejumo et al, 2020). In our study, the logistic regression model is used to model propensity scores.…”
Section: Presentation Of the Propensity Score Matching Methodsmentioning
confidence: 99%
“…Factors that influence crop growth and development like climate, soil fertility, abiotic and biotic incidences and the variety [28] are vital. Those that impact postharvest and processing are important too [29]. Table 2 illustrates the effect of fertilizers and soil amendments on the characteristics of starch of cassava storage roots.…”
Section: Fertilizer Influence On Starch Qualitiesmentioning
confidence: 99%