Multiple regression analysis in modelling of carbon dioxide emissions by energy consumption use in Malaysia

Keat, Sim Chong; Chun, Beh Boon; San, Lim Hwee; Jafri, Mohd Zubir Mat

doi:10.1063/1.4915185

Cited by 7 publications

(1 citation statement)

References 2 publications

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“…Therefore, statistical analysis using the single and multiple linear regression techniques were used to evaluate these variables. A similar approach was used to assess the independent and dependent variables impact of the CO2 emission from the refining the petroleum product using collected data from 1980 to 2010 [15].…”

Section: Introductionmentioning

confidence: 99%

Carbon Emission Reduction Strategies Through Cleaner Production at Coconut Milk Processing Plant

Isa

Najamuddin

2021

ARFMTS

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The manufacturing industry is one of the most influential sectors contributing to greenhouse gas emissions. As the manufacturing industry strives to achieve its profit goal, most of them face various circumstances to control the rising carbon emissions from the energy, raw material consumption, and waste generations due to production activities. Therefore, it is difficult to quantify the amount of carbon emission reduction if the adjustment is not established according to the manufacturing output. This research concentrates on evaluating energy consumption and waste generation using a statistical approach by a coconut milk processing plant. This research aims to estimate the reduction of greenhouse gas emissions, mainly carbon dioxide (CO2). The baseline models of energy consumptions and waste generations were constructed using single and multiple linear regression methods. Besides, it investigates the performance of ultimate models of electrical consumption, water consumption, fuel consumption, solid waste generation, and wastewater generations using statistical analysis that involves coefficient of correlation, coefficient of determination, analysis of variance (ANOVA), etc. It indicates that with the implementation of the cleaner production (CP) strategy, the plant had reduced 10,474.94 tons of CO2 and 2,579.67 tons of CO2 in 2018 and 2019, respectively. This study is an aid to the management and engineers of the industry to investigate their accomplishment in reducing environmental impacts caused by production activities from any implementation made such as CP and green industry practices.

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Section: Introductionmentioning

confidence: 99%

Carbon Emission Reduction Strategies Through Cleaner Production at Coconut Milk Processing Plant

Isa

Najamuddin

2021

ARFMTS

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Causal nexus between energy consumption and carbon dioxide emission for Malaysia using maximum entropy bootstrap approach

Gul

Zou

Hassan

et al. 2015

Environ Sci Pollut Res

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This study investigates the relationship between energy consumption and carbon dioxide emission in the causal framework, as the direction of causality remains has a significant policy implication for developed and developing countries. The study employed maximum entropy bootstrap (Meboot) approach to examine the causal nexus between energy consumption and carbon dioxide emission using bivariate as well as multivariate framework for Malaysia, over a period of 1975-2013. This is a unified approach without requiring the use of conventional techniques based on asymptotical theory such as testing for possible unit root and cointegration. In addition, it can be applied in the presence of non-stationary of any type including structural breaks without any type of data transformation to achieve stationary. Thus, it provides more reliable and robust inferences which are insensitive to time span as well as lag length used. The empirical results show that there is a unidirectional causality running from energy consumption to carbon emission both in the bivariate model and multivariate framework, while controlling for broad money supply and population density. The results indicate that Malaysia is an energy-dependent country and hence energy is stimulus to carbon emissions.

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Impact of meteorological parameters on aerosol optical depth and particulate matter in Lahore

Ur Rehman,

Tariq,

ul Haq

et al. 2024

Acta Geophys.

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Multiple regression analysis in modelling of carbon dioxide emissions by energy consumption use in Malaysia

Cited by 7 publications

References 2 publications

Carbon Emission Reduction Strategies Through Cleaner Production at Coconut Milk Processing Plant

Carbon Emission Reduction Strategies Through Cleaner Production at Coconut Milk Processing Plant

Causal nexus between energy consumption and carbon dioxide emission for Malaysia using maximum entropy bootstrap approach

Impact of meteorological parameters on aerosol optical depth and particulate matter in Lahore

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