Topic II: An Evaluation of Integration in the Poultry Meat Industry

Baum, E. L.; Mortenson, W. P.

doi:10.2307/1233477

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2022

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Cited by 2 publications

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“…In the ZIP model, the count dependent variable (

is independent and the assumption behind the model is that given a probability

), there are two possible outcomes; 0 and the probability of

) which leads to the generation of a Poisson random variable (

) in

[ 14 ]. The distribution of

is given Eq.…”

Section: Methodsmentioning

confidence: 99%

Modelling of vertical integration in commercial poultry production of Ghana: A count data model analysis

Adams

Mensah

Etuah

et al. 2022

Heliyon

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“…In the ZIP model, the count dependent variable (

is independent and the assumption behind the model is that given a probability

), there are two possible outcomes; 0 and the probability of

) which leads to the generation of a Poisson random variable (

) in

[ 14 ]. The distribution of

is given Eq.…”

Section: Methodsmentioning

confidence: 99%

Modelling of vertical integration in commercial poultry production of Ghana: A count data model analysis

Adams

Mensah

Etuah

et al. 2022

Heliyon

View full text Add to dashboard Cite

“…Empirical studies on vertical integration as a key catalytic operation to expand and improve the competitiveness of firms have been well-documented (Baum, 1951;Coarse, 1937;Buzzel, 1983;Maddigan, 1981;Grega, 2003;Martinez, 2012). Isaksen et al (2002) suggests that vertical integration of firms helps to reduce production costs while improving efficiencies.…”

Section: Introductionmentioning

confidence: 99%

Determinants of Vertical Integration in Poultry Production in Ghana: Application of Count Data Models

Adams

Mensah

Etuah

et al. 2021

Preprint

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Poultry production has significant potential to reduce protein deficiency, food insecurity and poverty in Ghana. However, limited vertical integration and high cost of production in the sector have stifled growth and exposed poultry farms in the country to many risks, leading to poor business performance. This study uses cross-sectional data from 102 commercial poultry farms to assess the determinants of extent of vertical integration in the Ghanaian poultry industry by employing zero-inflated Poisson (ZIP) and Zero-inflated Binomial (ZINB) models. The results show that one in every four poultry farms in the country are vertically integrated, either partially or fully. The ZINB model, which best fits the data, reveals that the extent of vertical integration in the poultry business is significantly influenced by a set of personal (education, occupation, and farming experience) and farm level (land tenure, flock size, production cost, and farm revenue) characteristics as well as institutional factors (credit access, extension access and membership of association). The paper discusses the implications of these findings and provides appropriate recommendations for strengthening the poultry industry in Ghana.

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Topic II: An Evaluation of Integration in the Poultry Meat Industry

Cited by 2 publications

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Modelling of vertical integration in commercial poultry production of Ghana: A count data model analysis

Modelling of vertical integration in commercial poultry production of Ghana: A count data model analysis

Determinants of Vertical Integration in Poultry Production in Ghana: Application of Count Data Models

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