Modeling and Forecasting Energy Consumption in the Manufacturing Industry in South Asia

The aim of this study is to model energy consumption and Manufacturing Value Added (MVA) in the industry level of five South Asian countries. Firstly, a cross-sectional model was developed by using R-statistical software to estimate the MVA with energy consumption being the independent variable. Sec...

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Bibliographic Details
Published inInternational journal of energy economics and policy Vol. 3; no. 1; p. 87
Main Authors Zahan, Muslima, Kenett, Ron S
Format Journal Article
LanguageEnglish
Published Mersin EconJournals 01.01.2013
Subjects
Capital stock
Economic growth
Economic statistics
Energy consumption
Energy economics
Energy modeling
Forecasting
GDP
Gross Domestic Product
Literature reviews
Manufacturing
Mean square errors
Productivity
Software
Time series
Value added
South Asia
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Summary:The aim of this study is to model energy consumption and Manufacturing Value Added (MVA) in the industry level of five South Asian countries. Firstly, a cross-sectional model was developed by using R-statistical software to estimate the MVA with energy consumption being the independent variable. Secondly, a twenty years data series was analyzed to forecast volume of energy consumption in the manufacturing industry for five countries in a comparative manner. Thus, a prediction model was developed by using the time series forecasting system of the SAS statistical software and evaluated using Mean Square Error (MSE), Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percent Error (MAPE) with forecasts made up to year 2021. The forecasted energy consumption data might be used in the cross-sectional model to forecast MVA. Besides, based on the increasing trends in volume of energy, industry should prepare now for using efficient and clean energy in order to achieve an environment friendly and sustainable manufacturing industry. [PUBLICATION ABSTRACT]
ISSN:2146-4553
2146-4553