Does the particulate matter PM10 have significant effect in the relationship between economic growth and energy consumption?

Zaidi Isa, Ahmed R M Al Sayed, Sek Sok Kun

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Recently many governments have encourage the researcher to investigate the relationship between energy consumption (EC), economic growth (GDP) and pollutants emissions, as it has very important role into environmental policy. First objective of this study focuses to detect the relationship between GDP, EC and particulate matter micrograms per cubic meter (PM10) within multivariate framework by applying panel data approaches in some of Europe countries; Austria, Sweden, Norway France and Finland for over the period 1960 to 2010. However the second objective is to compare between the models for the data which have been transformed by using natural logarithm and inverse function. The main findings indicate that the estimated models by using the invers form are appropriate more than the estimated models by using the natural logarithm form to reduce the heteroscedasticity as the R2 and R2adjusted are higher. In addition of that the cross section models are significant to represent the data more than the period models as most of their coefficients are significant. PM10 can be explained 91% and 89% by EC and GDP in each of cross section model and period model respectively for estimating model by using inverse form for transformation the data. As a result of that, PM10 should be considered as an important factor into energy consumption and economic growth by policy maker.

Original languageEnglish
Pages (from-to)1995-1998
Number of pages4
JournalAdvanced Science Letters
Volume21
Issue number6
DOIs
Publication statusPublished - 1 Jun 2015

Fingerprint

Particulate Matter
Economic Development
Economic Growth
energy consumption
Energy Consumption
economic growth
particulate matter
Energy utilization
Environmental Policy
Economics
Austria
Finland
Norway
Administrative Personnel
Sweden
France
Gross Domestic Product
Research Personnel
Natural logarithm
Model

Keywords

  • Economic growth
  • Panel data
  • PM

ASJC Scopus subject areas

  • Engineering(all)
  • Environmental Science(all)
  • Computer Science(all)
  • Energy(all)
  • Mathematics(all)
  • Health(social science)
  • Education

Cite this

Does the particulate matter PM10 have significant effect in the relationship between economic growth and energy consumption? / Isa, Zaidi; Al Sayed, Ahmed R M; Kun, Sek Sok.

In: Advanced Science Letters, Vol. 21, No. 6, 01.06.2015, p. 1995-1998.

Research output: Contribution to journalArticle

@article{3f7e5284b6b5480a9fb3eba9b14bf3ee,
title = "Does the particulate matter PM10 have significant effect in the relationship between economic growth and energy consumption?",
abstract = "Recently many governments have encourage the researcher to investigate the relationship between energy consumption (EC), economic growth (GDP) and pollutants emissions, as it has very important role into environmental policy. First objective of this study focuses to detect the relationship between GDP, EC and particulate matter micrograms per cubic meter (PM10) within multivariate framework by applying panel data approaches in some of Europe countries; Austria, Sweden, Norway France and Finland for over the period 1960 to 2010. However the second objective is to compare between the models for the data which have been transformed by using natural logarithm and inverse function. The main findings indicate that the estimated models by using the invers form are appropriate more than the estimated models by using the natural logarithm form to reduce the heteroscedasticity as the R2 and R2adjusted are higher. In addition of that the cross section models are significant to represent the data more than the period models as most of their coefficients are significant. PM10 can be explained 91{\%} and 89{\%} by EC and GDP in each of cross section model and period model respectively for estimating model by using inverse form for transformation the data. As a result of that, PM10 should be considered as an important factor into energy consumption and economic growth by policy maker.",
keywords = "Economic growth, Panel data, PM",
author = "Zaidi Isa and {Al Sayed}, {Ahmed R M} and Kun, {Sek Sok}",
year = "2015",
month = "6",
day = "1",
doi = "10.1166/asl.2015.6183",
language = "English",
volume = "21",
pages = "1995--1998",
journal = "Advanced Science Letters",
issn = "1936-6612",
publisher = "American Scientific Publishers",
number = "6",

}

TY - JOUR

T1 - Does the particulate matter PM10 have significant effect in the relationship between economic growth and energy consumption?

AU - Isa, Zaidi

AU - Al Sayed, Ahmed R M

AU - Kun, Sek Sok

PY - 2015/6/1

Y1 - 2015/6/1

N2 - Recently many governments have encourage the researcher to investigate the relationship between energy consumption (EC), economic growth (GDP) and pollutants emissions, as it has very important role into environmental policy. First objective of this study focuses to detect the relationship between GDP, EC and particulate matter micrograms per cubic meter (PM10) within multivariate framework by applying panel data approaches in some of Europe countries; Austria, Sweden, Norway France and Finland for over the period 1960 to 2010. However the second objective is to compare between the models for the data which have been transformed by using natural logarithm and inverse function. The main findings indicate that the estimated models by using the invers form are appropriate more than the estimated models by using the natural logarithm form to reduce the heteroscedasticity as the R2 and R2adjusted are higher. In addition of that the cross section models are significant to represent the data more than the period models as most of their coefficients are significant. PM10 can be explained 91% and 89% by EC and GDP in each of cross section model and period model respectively for estimating model by using inverse form for transformation the data. As a result of that, PM10 should be considered as an important factor into energy consumption and economic growth by policy maker.

AB - Recently many governments have encourage the researcher to investigate the relationship between energy consumption (EC), economic growth (GDP) and pollutants emissions, as it has very important role into environmental policy. First objective of this study focuses to detect the relationship between GDP, EC and particulate matter micrograms per cubic meter (PM10) within multivariate framework by applying panel data approaches in some of Europe countries; Austria, Sweden, Norway France and Finland for over the period 1960 to 2010. However the second objective is to compare between the models for the data which have been transformed by using natural logarithm and inverse function. The main findings indicate that the estimated models by using the invers form are appropriate more than the estimated models by using the natural logarithm form to reduce the heteroscedasticity as the R2 and R2adjusted are higher. In addition of that the cross section models are significant to represent the data more than the period models as most of their coefficients are significant. PM10 can be explained 91% and 89% by EC and GDP in each of cross section model and period model respectively for estimating model by using inverse form for transformation the data. As a result of that, PM10 should be considered as an important factor into energy consumption and economic growth by policy maker.

KW - Economic growth

KW - Panel data

KW - PM

UR - http://www.scopus.com/inward/record.url?scp=84946907240&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946907240&partnerID=8YFLogxK

U2 - 10.1166/asl.2015.6183

DO - 10.1166/asl.2015.6183

M3 - Article

VL - 21

SP - 1995

EP - 1998

JO - Advanced Science Letters

JF - Advanced Science Letters

SN - 1936-6612

IS - 6

ER -