This study aims to explore the influence of electricity consumption, electricity price, inflation and interest rate on GDP and investments in Indonesia in the period 2001-2018. This paper is explanatory research. A Generalized Structured Component Analysis was a component-based approach to Structural Equation Modelling has used as a research model. The empirical analysis uses time-series data of GDP, Electricity Consumption, Electricity Price, Inflation Rate, Interest Rate, Investments and GDP in Indonesia in the period 2001-2018. The findings of this study are electricity consumption has a significant positive effect on GDP and electricity price. Electricity price has an insignificant positive effect on electricity consumption and investment. GDP has a significant positive effect on electricity consumption but insignificant on investment and inflation. Investment has an insignificant negative effect on electricity consumption and inflation. Inflation has a significant positive effect on the interest rate, vice versa, but is insignificant to electricity consumption. The interest rate has an insignificant positive effect on investment. The Originality of this study, namely previous studies focused more on the relationships and causality between Electricity Consumption, FDI, GDP, while in this study the emphasis is more on predictions between latent variables using the GSCA. In previous studies using total electricity consumption, in this study, the latent variable of electricity consumption is formed by industry electricity consumption and business electricity consumption which is productive consumption in increasing GDP. This study uses a multi-variate study consisting of Electricity Consumption of Industrial and Business, Electricity Price, Investment, GDP variables, and adding Inflation Rate and Interest Rate that represent macro-economic conditions in the research model.

This study investigates the influence of gas price, crude oil price and international coal demand on coal sales volume, coal selling price, coal sales revenue, financial performance, business risk and stock price Indonesia coal mining is listed on Indonesia Stock Exchange (IDX). The sample is Indonesia coal mining companies listed on IDX in the period 2014 – 2018. This study employs a structural equation model using GeSCA software to examine the relationship and effect between research variables. The empirical result shows that Crude Oil Price has a significant positive effect on Gas Price and International Coal Demand, bidirectionally. Gas Price has a significant negative effect on International Coal Demand, bidirectionally. International Coal Demand has no significant positive effect on Coal Selling Price and Sales Volume. Coal Selling Price has not a significant positive effect on Sales Volume. Production Cost has a significant positive effect on Coal Selling Price. Coal Selling Price and Sales Volume have a significant positive effect on Sales Revenue. Coal Sales Revenue has a significant negative effect on Enterprise Risk. The originality of this study investigates a relationship between International Coal Demand, Coal Selling Price and Coal Sales Volume which has never been done in previous research.

Purpose This study aims to explore the influence of fuel price, electricity price, fuel consumption (FC) on operating cost, generation and operating income (OI), and how to get the optimized electricity generation (EG) through the operation plants mix economically. Design/methodology/approach This study is the kind of explanatory research that describes the influence of dependent variable on the independent variable through hypothesis testing. The unit of analysis in this study is PT PLN (Persero) data, and the data is represented by the company’s statistical data from 2004 to 2019. The inferential statistical method is used to analyse the variance in this study-based or component-based with partial least square using the software of SmartPLS 3.2.9. Findings The fuel price of generation has a positive significant effect on the average electricity price in both models, a negative significant effect on the FC in model A and a positive significant effect in model B, a positive significant effect on the EG in the model A and negative significant effect in the model B, a positive significant effect on the operating cost of generation in both models, and a positive significant effect on OI in both models also. Originality/value To the best of the author’s knowledge, this paper is the first to study the influence of generation fuel price, electricity price, FC on operating cost, EG and OI of the power company and using a complex research design with partial least square.