Causal Modeling and Decomposition of Correlation Study: Indicators of an Indonesian Electricity Company | Zendy

Mustofa Usman | Zendy; Edwin Russel | Zendy; Warsono Warsono | Zendy; Wamiliana Wamiliana | Zendy; Amanto | Zendy; Fitriani Fitriani | Zendy; Faiz Ahmed Mohamed Elfaki | Zendy

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Causal Modeling and Decomposition of Correlation Study: Indicators of an Indonesian Electricity Company

Author(s) -

Mustofa Usman,

Edwin Russel,

Warsono Warsono,

Wamiliana Wamiliana,

Amanto,

Fitriani Fitriani,

Faiz Ahmed Mohamed Elfaki

Publication year - 2020

Publication title -

journal of southwest jiaotong university

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.308

H-Index - 21

ISSN - 0258-2724

DOI - 10.35741/issn.0258-2724.55.6.9

Subject(s) - electricity , causal model , indonesian , revenue , path analysis (statistics) , causal analysis , electric power , product (mathematics) , econometrics , power (physics) , economics , business , environmental economics , engineering , statistics , finance , mathematics , linguistics , philosophy , physics , geometry , quantum mechanics , electrical engineering

The Causal Modeling or Path analysis has become a widely-used statistical method in many areas of study, such as in genetics, biology, social science, environmental science, economic, business, finance and sociology. In this study, causal modeling is used to analyze the relationship among variables of important indicators of the electricity company of the Republic of Indonesia. The variables discussed are Total number of Staff or Employees, Electric Power Installed in megawatts, Operating Cost in million rupees, Electric Power Product in megawatts, Electric Power Sales in megawatts, and Sales Revenue in million rupees. The results of analysis show that the proposed causal modeling indicates the relationships among those six important indicators of the electricity company are very significant and meaningful.

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