Skip to main content
Have a personal or library account? Click to login
Energy Consumption and Economic Growth Linkage: Global Evidence from Symmetric and Asymmetric Simulations Cover

Energy Consumption and Economic Growth Linkage: Global Evidence from Symmetric and Asymmetric Simulations

Open Access
|Jun 2022

Figures & Tables

Table 1

Descriptive statistics.

VariableObsMeanStd. dev.MinMaxCoef of variation
Whole sample
GDPG3,4311.7154.945−64.9953.972.88
EU3,4312,130.8862,369.31699.7118,178.1410.011
BRICS
GDPG1146.8234613.996938−7.388113.638330.585
EU114842.0321559.7145279.3802,236.7300.664
Next Eleven
GDPG4182.494.55−30.1822.121.82
EU418958.1930.1599.705,248.50.97
ECO
GDPG1141.406.05−30.1822.144.32
EU1141,064.1680.6302.542,889.100.63
Big Four in Western Europe
GDPG1521.661.78−5.465.871.07
EU1524,053.8341.33,172.84,658.30.048
Asia-Pacific region
GDPG5703.473.47−14.3513.641
EU570944.231,122.899.714,083.81.189
Group of Seven
GDPG2661.662.10−7.946.331.26
EU2664,770.71,970.92,203.88,455.50.41
Arab League
GDPG4181.1485.10−25.6111.834.44
EU4181,811.71,903.7235.186,871.81.05
SAARC region
GDPG1903.012.35−7.3990.78
EU190334.7119.699.71636.50.35

[i] BRICS – Brazil, Russia, India, China, and South Africa; ECO – Economic Cooperation Organization; SAARC – South Asian Association for Regional Cooperation; GDPG – GDP growth ; Obs – Observations.

[ii] Source: own elaboration.

Table 2

CD test results (Pesaran’s test 2004).

VariablesCD-testP-valueAverage joint TMean ÏMean abs (Ï)
GDP growth per capita21.4170.00037.950.060.18
Energy use102.570.00037.950.270.54

[i] Notes: Under the null hypothesis of cross-sectional independence, CD ~ N (0, 1) P-values close to zero indicate data are correlated across panel groups.

[ii] CD – cross-sectional dependence.

[iii] Source: own elaboration.

Table 3

Unit root test results in the presence of cross-section dependence (Pesaran’s test 2007).

VariablesLevelFirst difference
CIPS (−1)CIPS (−2)CIPS (−3)Critical value (5%)CIPS (−1)CIPS (−2)CIPS (−3)Critical value (5%)
No intercept no trend
GDP growth−1.231−3.761−3.774−1.52−5.963−5.935−5.934−1.52
Energy use−1.134−1.267−1.268−1.52−5.097−4.940−4.883−1.52
Only intercept
GDP growth−1.107−4.107−4.107−2.08−5.977−5.977−5.977−2.08
Energy use−1.606−1.606−1.606−2.08−5.272−5.272−5.272−2.08
Linear trend
GDP growth−2.48−4.470−4.453−2.56−6.206−6.161−6.181−2.65
Energy use−1.836−1.936−1.893−2.56−5.537−5.461−5.410−2.65

[i] Notes: H0 (homogeneous non-stationary): bi = 0 for all i.

[ii] Source: own elaboration.

Table 4

Panel co-integration test (Westerlund’s test 2007).

StatisticsModel with interceptModel with trend
ValueZ-valueP-valueValueZ-valueP-value
BRICSGt−4.369−4.9970.000−4.010−3.5040.000
Ga−23.489−5. 2010.000−24.688−3.2290.001
Pt−6.332−3.8470.000−5.953−2.6230.004
Pa−22.190−7.0070.000−22.953−3.9610.000
Next ElevenGt−1.7280.1830.573−2.421−0.2220.412
Ga−4.9981.3070.904−7.7462.0810.981
Pt−0.5954.2311.000−4.9152.3910.992
Pa−0.2422.9800.999−2.9423.2410.999
ECOGt−0.2432.9590.999−2.0330.7100.761
Ga−1.5991.7640.961−3.2512.2310.987
Pt0.7703.2971.000−1.7242.2130.987
Pa0.5871.8790.970−2.3061.8720.969
Big Four in Western EuropeGt−2.295−1.1520.125−2.696−0.8120.208
Ga−12.127−1.8320.034−11.7060.0900.536
Pt0.6973.6131.000−3.0921.2950.902
Pa0.8282.2790.989−3.7191.7010.956
Asia-Pacific regionGt−2.365−2.5300.006−2.421−0.2610.397
Ga−12.430−3.7620.000−13.242−0.7010.242
Pt−9.287−3.7020.000−8.0280.1760.570
Pa−11.345−6.2070.000−11.655−1.7200.043
Group of SevenGt−2.633−2.5200.006−2.831−1.5130.065
Ga−13.333−3.0090.001−12.795−0.3050.380
Pt−2.2931.5460.939−3.8711.9640.975
Pa−3.1470.6460.741−4.8771.7500.960
Arab LeagueGt−1.6290.5480.708−1.7772.4050.992
Ga−100.936−57.1450.000−67.851−27.2350.000
Pt−2.2232.5930.995−1.6306.1471.000
Pa−1.9011.7400.959−1.8063.8551.000
SAARC regionGt−2.532−1.8770.030−2.579−0.5840.280
Ga−14.997−3.2260.001−13.943−0.6350.263
Pt−5.671−2.4480.007−4.5310.2200.587
Pa−15.506−5.6790.000−14.606−2.0690.019
World sampleGt−2.715−1.8070.035−2.3310.0770.530
Ga−9.223−0.6620.254−9.1360.7330.768
Pt−2.751−0.2450.403−2.0541.8350.967
Pa−2.6940.5990.726−4.0681.3740.915

[i] BRICS – Brazil, Russia, India, China, and South Africa; ECO – Economic Cooperation Organization; SAARC – South Asian Association for Regional Cooperation.

[ii] Source: own elaboration.

Table 5

Asymmetric co-integration results of Hatemi-J’s test (2020).

VariablesKao test results
Im et al. (2003) unit root test results on residualsDecision regarding residuals
Arab LeagueY+, X+−2.4916 (0.0003)I (0), Stationary
Y+, X−2.7552 (0.000)I (0), Stationary
Y, X−2.7677 (0.000)I (0), Stationary
Y, X+−2.6207 (0.000)I (0), Stationary
Asia-Pacific regionY+, X+−2.6571 (0.000)I (0), Stationary
Y+, X−2.9797 (0.000)I (0), Stationary
Y, X−2.3041 (0.003)I (0), Stationary
Y, X+−2.4447 (0.0001)I (0), Stationary
Big Four in Western EuropeY+, X+−4.0673 (0.000)I (0), Stationary
Y+, X−3.2235 (0.000)I (0), Stationary
Y, X−2.5821 (0.012)I (0), Stationary
Y, X+−2.6298 (0.010)I (0), Stationary
ECOY+, X+−3.5681 (0.0004)I (0), Stationary
Y+, X−2.5875 (0.025)I (0), Stationary
Y, X−2.8706 (0.013)I (0), Stationary
Y, X+−2.7547 (0.013)I (0), Stationary
Group of SevenY+, X+−3.2938 (0.000)I (0), Stationary
Y+, X−3.3661 (0.000)I (0), Stationary
Y, X−2.5256 (0.002)I (0), Stationary
Y, X+−2.5917 (0.001)I (0), Stationary
Next ElevenY+, X+−1.9333 (0.081)I (0), Stationary
Y+, X−1.7222 (0.301)I (0), Stationary at 10%
Y, X−2.0643 (0.021)I (0), Stationary
Y, X+−2.0375 (0.026)I (0), Stationary
World sampleY+, X+−2.3252 (0.000)I (0), Stationary
Y+, X−2.6464 (0.000)I (0), Stationary
Y, X−2.6051 (0.000)I (0), Stationary
Y, X+−2.4566 (0.000)I (0), Stationary

[i] ECO – Economic Cooperation Organization.

[ii] Source: own elaboration.

Table 6

Linear ARDL results.

ΔYMG (BRICS)PMG (SAARC)
ECT−0.008* (0.043)−0.0064577 (0.389)
Long-run effect−0.829* (0.000)−1.040631* (0.000)
Short run effect0.054* (0.001)0.0496974* (0.006)
_cons4.914* (0.000)2.895211* (0.000)
Hausman test
H0 = PMG
H1 = MG
7.51** (0.0234)0.21 (0.6462)
Wald test (long-run asymmetry)1.75 (0.1855)1.09 (0.2971)
Wald test (short-run asymmetry)1.26 (0.2616)0.42 (0.5146)
Log likelihood−366.9499

[i] Notes: The P-values are given [* at 1%, ** at 5%].

[ii] ARDL – autoregressive distributed lag; BRICS – Brazil, Russia, India, China, and South Africa; PMG – Pooled Mean Group; SAARC – South Asian Association for Regional Cooperation; ECT – error correction term.

[iii] Source: own elaboration.

VariablesArab LeagueAsia-Pacific regionBig Four in Western EuropeECO
ΔY+ΔYΔY+ΔYΔY+ΔYΔY+ΔY
ECT−0.585* (0.000)−0.409* (0.000)−0.520* (0.000)−0.455* (0.000)−0.415* (0.000)−0.577* (0.000)−0.260** (0.033)−0.598 (0.000)
eut+ −0.0080* (0.000)0.0047* (0.001)−0.0114 (0.000)0.014* (0.000)−0.005** (0.030)−0.002* (0.992)0.069 (0.009)−0.025 (0.012)
eut 0.003** (0.011)0.0054* (0.002)0.0242* (0.000)−0.028* (0.000)0.025* (0.000)−0.011* (0.000)0.220* (0.001)−0.065 (0.000)
Δeut+ 0.0011 (0.267)−0.0006 (0.974)−0.046** (0.052)0.045** (0.045)0.001 (0.914)−0.007 (0.393)0.036 (0.061)−0.021 (0.078)
Δeut 0.952 (0.267)0.051 (0.242)0.006 (0.874)0.001 (0.974)0.0019 (0.595)0.028 (0.929)0.018 (0.490)0.002 (0.894)
Δeut1+ 0.005 (0.703)−0.006 (0.686)−0.018 (0.146)0.018 (0.084)0.004 (0.318)−0.002 (0.456)0.023 (0.166)−0.020 (0.217)
Δeut1 −0.103 (0.290)0.105 (0.269)0.060 (0.619)−0.038 (0.689)−0.002 (0.579)0.004 (0.238)−0.012 (0.445)0.013 (0.424)
Constant2.328* (0.005)−6.688 (0.229)−0.296 (0.862)−3.550** (0.013)−1.984 (0.173)−1.281 (0.368)3.920 (0.725)−2.563 (0.783)
Hausman (χ2)
H0 = PMG
H1 = MG
3.17 (0.2054)1.55 (0.461)3.56 (0.613)2.32 (0.192)
Wald test (long-run asymmetry)3.320** (0.0367)5.69* (0.002)5.61** (0.020)7.76* (0.005)
Wald test (short-run asymmetry)0.031 (0.142)0.29 (0.370)0.91 (0.213)0.12 (0.730)
Log likelihood−1176.886−1072.3−193.7512−258.049

[i] Notes: P values are given in [], where eu is energy use; *1%; **5%; ARDL – autoregressive distributed lag; ECO – Economic Cooperation Organization; ECT – error correction term.

VariablesGroup of SevenNext ElevenWorld sample
ΔY+ΔYΔY+ΔYΔY+ΔY
ECT−0.427* (0.000)−0.5535* (0.000)−0.458* (0.000)−0.413* (0.000)−0.494* (0.000)−0.446* (0.000)
eut+ −0.006* (0.000)0.021** (0.036)0.034* (0.007)−0.036* (0.000)−0.001** (0.013)0.001* (0.003)
eut 0.021* (0.000)−0.013* (0.000)0.440* (0.000)0.066* (0.000)0.015* (0.000)−0.011* (0.000)
Δeut+ −0.061 (0.466)−0.049 (0.710)−1.114 (0.264)1.167 (0.242)−0.004 (0.577)0.005 (0.544)
Δeut 0.026 (0.243)−0.002 (0.290)1.337** (0.026)−1.217** (0.036)−0.005 (0.480)0.005 (0.463)
Δeut1+ 0.011 (0.992)−0.009 (0.627)0.945 (0.257)−0.955 (0.259)−0.010 (0.397)0.011 (0.380)
Δeut1 −0.001 (0.626)0.009 (0.396)−0.339 (0.640)0.436 (0.556)−0.003 (0.794)0.004 (0.747)
Constant−1.813 (0.075)−1.394 (0.145)−296.64* (0.006)−71.781 (0.121)1.881744 (0.236)−5.050* (0.001)
Hausman (χ2)
H0 = PMG
H1 = MG
2.17 (0.250)2.55 (0.601)4.17 (0.542)
Wald test (long-run asymmetry)4.05** (0.0443)7.76* (0.005)5.76** (0.051)
Wald test (short-run asymmetry)0.07 (0.7917)0.12 (0.730)0.83 (0.305)
Log likelihood−284.11111.42−3620.302

[i] P values are given in (), where eu is energy use; *1%; **5%.

[ii] Source: own elaboration.

Table 8

The result of Dumitrescu and Hurlin’s (2012) panel causality test.

Null hypothesisW-statZ-barP-valueLag
Arab LeagueReal GDP per capita does not Granger-cause energy use3.502375.134793.E−071
Energy use does not Granger-cause real GDP per capita1.888561.738470.08211
Asia-Pacific regionReal GDP per capita does not Granger-cause energy use2.580860.748830.45402
Energy use does not Granger-cause real GDP per capita5.586115.829656.E−092
Big Four in Western EuropeReal GDP per capita does not Granger-cause energy use3.369032.927180.0034*1
Energy use does not Granger-cause real GDP per capita1.344340.357670.72061
BRICSReal GDP per capita does not Granger-cause energy use0.83674−0.248120.80401
Energy use does not Granger-cause real GDP per capita2.777341.884700.05951
ECOReal GDP per capita does not Granger-cause energy use16.213616.65190.0000*1
Energy use does not Granger-cause real GDP per capita2.497381.577010.11481
Group of SevenReal GDP per capita does not Granger-cause energy use10.430615.72750.0000*1
Energy use does not Granger-cause real GDP per capita2.988223.232980.0012*1
Next ElevenReal GDP per capita does not Granger-cause energy use4.696907.648712.E−141
Energy use does not Granger-cause real GDP per capita5.205408.718880.0000*1
SAARCReal GDP per capita does not Granger-cause energy use1.02665−0.050860.95941
Energy use does not Granger-cause real GDP per capita9.7771912.36510.0000*1
World sampleReal GDP per capita does not Granger-cause energy use5.7498426.76880.0000*1
Energy use does not Granger-cause real GDP per capita2.237456.709962.E−111

[i] Notes: We computed the probability values using large iterative bootstrap identifications; W-Stat statistic presents the averages from cross-sections of N standard individual Wald statistics of Granger non-causality tests. The Z-bar statistic is a standardised statistic.

[ii] BRICS – Brazil, Russia, India, China, and South Africa; ECO – Economic Cooperation Organization; SAARC – South Asian Association for Regional Cooperation.

[iii] Source: own elaboration.

Table A1

Groupwise list of selected countries for the study.

GroupCountriesNumber of countries
BRICSChina, India, Brazil3
Next ElevenIndonesia, Pakistan, Bangladesh, Philippines, Vietnam, Egypt, Iran, Turkey, Republic of Korea, Nigeria, Mexico11
Economic Cooperation OrganizationPakistan, Iran, Turkey3
Big Four in Western EuropeGermany, France, Italy, United Kingdom4
Asia-Pacific regionChina, India, Indonesia, Pakistan, Bangladesh, Japan, Philippine, Thailand, Myanmar, Malaysia, Nepal, Argentina, Australia, Austria15
Group of SevenJapan, Canada, Germany, France, United States, Italy, United Kingdom7
Arab LeagueAlgeria, Egypt, Saudi Arabia, Sudan, Oman, Morocco, Jordan, Iraq, United Arab Emirates, Syria, Tunisia,11
SAARCIndia, Pakistan, Bangladesh, Nepal, Sri-Lanka5
World sampleUnited Arab Emirates, Argentina, Australia, Austria, Belgium, Benin, Bangladesh, Bolivia, Brazil, Canada, Switzerland, Chile, China, Cote d’Ivoire, Cameroon, Democratic Republic of Congo, Republic of Colombia, Costa Rica, Cuba, Cyprus, Germany, Denmark, Dominican Republic, Algeria, Ecuador, Arab Republic of Egypt, Spain, Finland, France, Gabon, United Kingdom, Ghana, Greece, Guatemala, Hong Kong SAR, China, Honduras, Haiti, India, Ireland, Islamic Republic of Iran, Iraq, Iceland, Israel, Italy, Jamaica, Jordan, Japan, Kenya, Republic of Korea, Sri Lanka, Luxembourg, Morocco, Mexico, Malta, Myanmar, Malaysia, Nigeria, Nicaragua, Netherlands, Norway, Nepal, New Zealand, Oman, Pakistan, Panama, Peru, Philippines, Portugal, Paraguay, Saudi Arabia, Sudan, Senegal, Singapore, El Salvador, Sweden, Thailand, Tunisia, Turkey, Uruguay, United States, Zambia.85

[i] BRICS – Brazil, Russia, India, China, and South Africa; SAARC – South Asian Association for Regional Cooperation.

[ii] Source: own elaboration.

DOI: https://doi.org/10.2478/quageo-2022-0012 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103 (formerly 0137-477X)
Language: English
Page range: 67 - 82
Submitted on: Jul 3, 2021
Published on: Jun 24, 2022
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
JEL:
Related subjects:

© 2022 Wajid Ali, Solomon Prince Nathaniel, Ibrahim Ayoade Adekunle, Bezon Kumar, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.