2018
DOI: 10.1080/15623599.2018.1484553
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Principal component analysis of factors influencing pricing decisions of building materials in Ghana

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Cited by 8 publications
(5 citation statements)
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References 12 publications
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“…The resulting ICM: FCM usage ratio is based on the specifications provided by BEPs. This is an empirical confirmation of statements made by Acheampong et al [ 51 ] and Obeng-Ahenkora and Danso [ 23 ]. Most BEPs are of the view that ICMs will lead to a more sustainable construction industry [ 7 ].…”
Section: Resultssupporting
confidence: 91%
See 1 more Smart Citation
“…The resulting ICM: FCM usage ratio is based on the specifications provided by BEPs. This is an empirical confirmation of statements made by Acheampong et al [ 51 ] and Obeng-Ahenkora and Danso [ 23 ]. Most BEPs are of the view that ICMs will lead to a more sustainable construction industry [ 7 ].…”
Section: Resultssupporting
confidence: 91%
“…However, the work of Sadick et al [ 21 ] did not address the role that ICMs play in engendering indoor environmental quality, which is an important feature of SC. Obeng-Ahenkora and Danso's [ 23 ] work identified the lack of indigenous technology as one of the factors influencing pricing decisions of construction materials. However, their study did not focus on the factors that influence the pricing and choosing of ICMs as against FCMs in Ghana.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Principal Component Analysis (PCA) was used to identify the factors that motivate and impede farmers' commercialization of oyster mushrooms. PCA is a statistical method that is used to analyze interrelationships among a large number of variables and to explain the variables in terms of their common underlying dimensions called components or factors [ 71 ]. The study employed PCA since the study's goal is to identify factors that comprise motivations and impediments to mushroom commercialization, as opposed to other analyses such as structural equation modelling, which establishes the link between factors and how they influence one another.…”
Section: Methodsmentioning
confidence: 99%
“…В результате анализа исследований, посвященных определению детерминант роста цен на строительные материалы (Hüschelrath et al, 2013;Danso et al, 2020;, была сформирована следующая совокупность контрольных факторов, влияющих на цену товарного бетона: цены на сырье; спрос на бетон; индекс цен на электроэнергию; цены на бензин; уровень инфляции; ставка процента; фиктивные переменные сезонности. В качестве переменной интереса, измеряющей интенсивность конкуренции, был выбран показатель числа участников рынка.…”
Section: оценка влияния конкуренции на цены строительных материаловunclassified