Please wait a minute...
Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

邮发代号 80-972

2019 Impact Factor: 2.657

Frontiers in Energy  2014, Vol. 8 Issue (3): 269-278   https://doi.org/10.1007/s11708-014-0326-6
  本期目录
Energy use, CO2 emission and foreign direct investment: Is there any inconsistence between causal relations?
Ertugrul YILDIRIM()
Department of Economics, Bulent Ecevit University, Zonguldak 67100, Turkey
 全文: PDF(139 KB)   HTML
Abstract

In this study, the causal relations between inward foreign direct investment (FDI)-energy use per capita and inward FDI-CO2 emission per capita were analyzed and the inconsistency between the causal relations was investigated via bootstrap-corrected panel causality test and cross-correlation analysis. In this direction, data from 76 countries including the period of 1980–2009 was processed. No supportive evidence was found for changing causal relations to country group which was classified into income level. The findings indicated that while the pollution haven hypothesis was supported for Mozambique, United Arab Emirates and Oman, the pollution halo hypothesis was supported in the case of India, Iceland, Panama and Zambia. For other countries, energy use and CO2 emission were neutral to inward FDI flows in aggregated level. Furthermore, this study urged that increased (decreased) energy use due to the inward FDI flows did not necessarily mean an increase (decrease) in pollution level, and vice versa. For policy purpose, FDI attractive policy should be regulated by taking into account this possibility.

Key wordsCO2 emissions    energy consumption    liberalization
收稿日期: 2013-08-03      出版日期: 2014-09-09
Corresponding Author(s): Ertugrul YILDIRIM   
 引用本文:   
. [J]. Frontiers in Energy, 2014, 8(3): 269-278.
Ertugrul YILDIRIM. Energy use, CO2 emission and foreign direct investment: Is there any inconsistence between causal relations?. Front. Energy, 2014, 8(3): 269-278.
 链接本文:  
https://academic.hep.com.cn/fie/CN/10.1007/s11708-014-0326-6
https://academic.hep.com.cn/fie/CN/Y2014/V8/I3/269
StudyVariableMethodologyPeriodSubjectSupported hypothesis
Blackman and Wu [3]FDI-energy intensitySurvey199714 US firms in ChinaEnergy saving
Mielnik and Goldemberg [4]FDI-energy intensityPanel regression1987–199820 developing countriesEnergy saving
Eskeland and Harrison [5]FDI-energy intensityGMM1984–19901983–19881976–1993Mexico,Venezuela,Cote d’IvoireEnergy saving
Fisher-Vanden et al. [6]FDI-energy intensityPanel Regression1997–19992500 firms in Chinese industrial sectorEnergy saving
Tang [7]FDI-Electricity consumptionARDL, Granger Causality1970–2005MalaysiaNot energy saving, FDI?EC
Hübler and Keller [8]FDI-energy intensityJohansen cointegration test1975–200460 developing countriesNeutrality
Sadorsky [9]FDI-Energy consumptionPanel GMM1990–200622 emerging countriesNeutrality
Pao and Tsai [10]FDI-Energy use- CO2Panel cointegration and panel Granger causality1980–2007Brazil, Russian Federation, India, ChinaFDI?CO2FDI?Energy
Ting et al. [11]FDI-energy intensityLogarithmic Mean Divisia Index1998–2008Jiangsu province of ChinaEnergy saving
Song and Zheng [12]FDI-energy intensityPanel fixed effects regression1995–200928 Chinese provinces.Neutrality
Herrerias et al. [13]FDI-energy useRegression with panel corrected standard errors1985–200828 Chinese regionsEnergy saving
Al-mulali and Tang [14]FDI-energy consumptionPanel cointegration, FMOLS and panel Granger causality1980–2009Gulf Cooperation Council CountriesNeutrality
Eskeland and Harrison [5]FDI-air pollutionGMM1982–1993Mexico, Venezuela, Cote d’Ivoire, MoroccoMixed
Cole and Elliott [15]FDI-pollutionPanel fixed effects and IV regressions1989–1994US, Brazil and MexicoPollution haven
Hoffman et al. [16]FDI-CO2Panel Granger causalityChanging37 low-income countriesFDI←CO2
50 middle-income countriesFDI→CO2
25 high income countriesFDI≠CO2
He [17]FDI-pollutionSystem of simultaneous equations1994–200129 Chinese regionsPollution haven
Merican et al. [18]FDI-CO2ARDL1970–2001Malaysia, Thailand, PhilippinesPollution haven
IndonesiaPollution halo
SingaporeNeutrality
Waldkirch and Gopinath [19]FDI-pollutionCross sectional regression1994–2000Mexican industriesNeutrality
Jorgenson [20]FDI- water pollutionPanel random effects regression1980–2000Less developed countriesPollution haven
Lee [21]FDI-CO2ARDL1970–2000MalaysiaFDI→CO2
Tamazian et al. [22]FDI- CO2Panel random effects regression1992–2004BRIC CountriesPollution halo
Chang [1]FDI- SO2Granger causality1981–2008ChinaNeutrality
Kim and Adilov [23]FDI-CO2Panel OLS1961–2004164 countriesPollution haloor neutrality
Al-mulali and Tang [14]FDI- CO2Panel cointegration, FMOLS and panel Granger causality1980–2009Gulf Cooperation Council CountriesPollution halo except for Bahrain
Blanco et al. [24]FDI- CO2Panel Granger causality1980–200718 Latin American CountriesPollution haven
Chandran and Tang [25]FDI- CO2Johansen Cointegration and Granger Causality1971–2008ASEAN-5 Countries (Transport sector)FDI→CO2
Tab.1  
Country groupsBreusch-Pagan LM testGroupwise homoscedasticity
Test StatP-valueTest StatP-value
Low income group292.6810.00001500.850.0000
Lower middle income group2197.3630.000019059.030.0000
Upper middle income group604.6820.00005154.540.0000
High income OCD group1212.2310.00004229.630.0000
High income non-OECD group151.3040.00001700000.0000
Tab.2  
GroupCountryFDI-Energy consumptionFDI-CO2CountryFDI-Energy consumptionFDI-CO2
Low income groupBangladeshSenegal
BeninTogo
GhanaZambia?
KenyaZimbabwe
MozambiqueUSA
Lower middle income groupBoliviaNicaragua
CameroonNigeria
Congo, Rep.Pakistan
Cote d'IvoireParaguay
EcuadorPhilippines
EgyptSri Lanka
El SalvadorSudan
GuatemalaSyrian
HondurasThailand
IndiaTunisia
JordanUSA
Morocco
Upper middle income groupArgentinaMexico
BrazilPanama
ChilePeru
ColombiaSouth Africa
Costa RicaTurkey
DominicanUruguay
GabonVenezuela
JamaicaUSA
Malaysia
High income non-OECD groupBahrainSaudi Arabia
CyprusSingapore
IsraelTrinidad and Tobago
MaltaUAE
OmanUSA
High income OECD groupAustraliaKorea, Rep.
AustriaLuxembourg
CanadaNetherlands
DenmarkNew Zealand
FinlandNorway
FrancePortugal
GermanySpain
IcelandSweden
ItalyUK
JapanUSA
Tab.3  
CountryEC(0)→FDI(0) [CO2(0)→FDI(0)]EC(-1)→FDI(0) [CO2(-1)→FDI(0)]EC(-2)→FDI(0) [CO2(-2)→FDI(0)]EC(-3)→FDI(0) [CO2(-3) →FDI(0)]
Bangladesh0.8670[0.8558]0.7722[0.7875]0.7008[0.7319]0.6208[0.6720]
Chile0.8281[0.8145]0.7398[0.7134]0.6580[0.6556]0.5615[0.5558]
Costa Rica0.8715[0.7930]0.7707[0.7469]0.6611[0.7439]0.5125[0.7183]
Dominican Republic0.7606[0.8240]0.7894[0.7759]0.7427[0.6994]0.6561[0.6005]
Jamaica0.8682[0.8419]0.8328[0.8069]0.7059[0.7198]0.5771[0.6166]
Austria0.5215[0.5505]0.4827[0.5282]0.5025[0.5799]0.3896[0.4650]
Germany-0.3334[-0.3644]-0.3081[-0.3812]-0.2447[-0.2674]-0.2383[-0.2062]
Portugal0.4932[0.5277]0.4908[0.5553]0.3914[0.4044]0.2904[0.3004]
Australia0.1888[≠]0.2193[≠]0.1769[≠]0.1031[≠]
France0.8217[≠]0.8097[≠]0.7820[≠]0.7257[≠]
Togo0.5918[≠]0.6539[≠]0.6255[≠]0.6044[≠]
Spain0.6788[≠]0.6060[≠]0.5210[≠]0.4343[≠]
Cyprus≠[0.5766]≠[0.6431]≠[0.6368]≠[0.6777]
Israel≠[0.6361]≠[0.5908]≠[0.5676]≠[0.5353]
Malta≠[0.4711]≠[0.5375]≠[0.4031]≠[0.3565]
Saudi Arabia≠[0.5434]≠[0.7051]≠[0.7334]≠[0.6094]
Tab.4  
CountryFDI(0)→EC(0) [FDI(0)→CO2(0)]FDI(-1)→EC(0) [FDI(-1)→CO2(0)]FDI(-2)→EC(0) [FDI(-2)→CO2(0)]FDI(-3)→EC(0) [FDI(-3)→CO2(0)]
Mozambique-0.5840≠-0.4421≠-0.3194≠-0.2362≠
India0.8732≠0.7556≠0.5111≠0.3918≠
Iceland0.5459≠0.6207≠0.6645≠0.3911≠
Panama0.5026≠0.7313≠0.7846≠0.7193≠
UAE-0.0786≠-0.2687≠-0.3881≠-0.3945≠
Oman≠[0.5616]≠[0.5847]≠[0.4538]≠[0.1371]
Tab.5  
EC(0)→FDI(0) [CO2(0)→FDI(0)]EC(-1)→FDI(0) [CO2(-1)→FDI(0)]EC(-2)→FDI(0) [CO2(-2)→FDI(0)]EC(-3)→FDI(0) [CO2(-3) →FDI(0)]
-0.7015[-0.6641]-0.6459[-0.6186]-0.5757[-0.5959]-0.5797[-0.5613]
FDI(0)→EC(0) [FDI(0)→CO2(0)]FDI(-1)→EC(0) [FDI(-1)→CO2(0)]FDI(-2)→EC(0) [FDI(-2)→CO2(0)]FDI(-3)→EC(0) [FDI(-3)→CO2(0)]
≠[-0.6641]≠[-0.6342]≠[-0.5301]≠[-0.3749]
Tab.6  
1 Chang N. The empirical relationship between openness and environmental pollution in China. Journal of Environmental Planning and Management, 2012, 55(6): 783–796
doi: 10.1080/09640568.2011.628087
2 Zarsky L. Havens, halos and spaghetti: untangling the evidence about foreign direct investment and the environment. In: Meyer K E ed. Multinational Enterprises and Host Economies. Edward Elgar Publishing, 2008, 283–306
3 Blackman A, Wu X. Foreign direct investment in China’s power sector: trends, benefits and barriers. Energy Policy, 1999, 27(12): 695–711
doi: 10.1016/S0301-4215(99)00063-4
4 Mielnik O, Goldemberg J. Foreign direct investment and decoupling between energy and gross domestic product in developing countries. Energy Policy, 2002, 30(2): 87–89
doi: 10.1016/S0301-4215(01)00080-5
5 Eskeland G S, Harrison A E. Moving to greener pastures? Multinationals and the pollution haven hypothesis. Journal of Development Economics, 2003, 70(1): 1–23
doi: 10.1016/S0304-3878(02)00084-6
6 Fisher-Vanden K, Jefferson G H, Ma J, Xu J. Technology development and energy productivity in China. Energy Economics, 2004, 28(5, 6): 690–705
7 Tang C F. Electricity consumption, income, foreign direct investment, and population in Malaysia: new evidence from multivariate framework analysis. Journal of Economic Studies (Glasgow, Scotland), 2009, 36(4): 371–382
doi: 10.1108/01443580910973583
8 Hübler M, Keller A. Energy savings via FDI? Empirical evidence from developing countries. Environment and Development Economics, 2010, 15(1): 59–80
doi: 10.1017/S1355770X09990088
9 Sadorsky P. The impact of financial development on energy consumption in emerging economies. Energy Policy, 2010, 38(5): 2528–2535
doi: 10.1016/j.enpol.2009.12.048
10 Pao H T, Tsai C M. Multivariate Granger causality between CO2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): evidence from a panel of BRIC (Brazil, Russian Federation, India, and China) countries. Energy, 2011, 36(1): 685–693
doi: 10.1016/j.energy.2010.09.041
11 Ting Y, Long R Y, Zhuang Y Y. Analysis of the FDI effect on energy consumption intensity in Jiangsu province. Energy Procedia, 2011, 5: 100–104
doi: 10.1016/j.egypro.2011.03.019
12 Song F, Zheng X. What drives the change in China’s energy intensity: combining decomposition analysis and econometric analysis at the provincial level. Energy Policy, 2012, 51: 445–453
doi: 10.1016/j.enpol.2012.08.044
13 Herrerias M J, Cuadros A, Orts V. Energy intensity and investment ownership across Chinese provinces. Energy Economics, 2013, 36: 286–298
doi: 10.1016/j.eneco.2012.08.043
14 Al-mulali U, Tang C F. Investigating the validity of pollution haven hypothesis in the gulf cooperation council (GCC) countries. Energy Policy, 2013, 60: 813–819
doi: 10.1016/j.enpol.2013.05.055
15 Cole M A, Elliott R J R. FDI and the capital intensity of “dirty” sectors: a missing piece of the pollution haven puzzle. Review of Development Economics, 2005, 9(4): 530–548
doi: 10.1111/j.1467-9361.2005.00292.x
16 Hoffmann R, Lee C G, Ramasamy B, Yeung M. FDI and pollution: a Granger causality test using panel data. Journal of International Development, 2005, 17(3): 311–317
doi: 10.1002/jid.1196
17 He J. Pollution haven hypothesis and environmental impacts of foreign direct investment: the case of industrial emission of sulfur dioxide (SO2) in Chinese provinces. Ecological Economics, 2006, 60(1): 228–245
doi: 10.1016/j.ecolecon.2005.12.008
18 Merican Y, Yusop Z, Noor Z M, Hook L S. Foreign direct investment and the pollution in five ASEAN nations. International Journal of Economics and Management, 2007, 1(2): 245–261
19 Waldkirch A, Gopinath M. Pollution control and foreign direct investment in Mexico: an industry-level analysis. Environmental and Resource Economics, 2008, 41(3): 289–313
doi: 10.1007/s10640-008-9192-1
20 Jorgenson A K. Foreign direct investment and the environment, the mitigating influence of institutional and civil society factors, and relationships between industrial pollution and human health: a panel study of less-developed countries. Organization & Environment, 2009, 22(2): 135–157
doi: 10.1177/1086026609338163
21 Lee C G. Foreign direct investment, pollution and economic growth: evidence from Malaysia. Applied Economics, 2009, 41(13): 1709–1716
doi: 10.1080/00036840701564376
22 Tamazian A, Chousa J P, Vadlamannati K C. Does higher economic and financial development lead to environmental degradation: evidence from BRIC countries. Energy Policy, 2009, 37(1): 246–253
doi: 10.1016/j.enpol.2008.08.025
23 Kim M H, Adilov N. The lesser of two evils: an empirical investigation of foreign direct investment-pollution tradeoff. Applied Economics, 2012, 44(20): 2597–2606
doi: 10.1080/00036846.2011.566187
24 Blanco L, Gonzalez F, Ruiz I. The impact of FDI on CO2 emissions in Latin America. Oxford Development Studies, 2013, 41(1): 104–121
doi: 10.1080/13600818.2012.732055
25 Chandran V G R, Tang C F. The impacts of transport energy consumption, foreign direct investment and income on CO2 emissions in ASEAN-5 economies. Renewable & Sustainable Energy Reviews, 2013, 24: 445–453
doi: 10.1016/j.rser.2013.03.054
26 Kónya L. Exports and growth: Granger causality analysis on OECD Countries with a panel data approach. Economic Modelling, 2006, 23(6): 978–992
doi: 10.1016/j.econmod.2006.04.008
27 Zellner A. An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias. Journal of the American Statistical Association, 1962, 57(298): 348–368
doi: 10.1080/01621459.1962.10480664
28 Pesaran M H. Estimation and inference in large heterogeneous panel with a multifactor error structure. Econometrica, 2006, 74(4): 967–1012
doi: 10.1111/j.1468-0262.2006.00692.x
29 Huang Y. Private investment and financial development in a globalized world. Empirical Economics, 2011, 41(1): 43–56
doi: 10.1007/s00181-010-0394-3
30 Selover D D. International interdependence and business cycle transmission in ASEAN. Journal of the Japanese and International Economies, 1999, 13(3): 230–253
doi: 10.1006/jjie.1999.0436
31 Sayek S, Selover D D. International interdependence and business cycle transmission between Turkey and the European Union. Southern Economic Journal, 2002, 69(2): 206–238
doi: 10.2307/1061670
32 Breusch T S, Pagan A R. The Lagrange multiplier test and its application to model specifications in econometrics. Review of Economic Studies, 1980, 47(1): 239–253
doi: 10.2307/2297111
33 Pesaran M H. General diagnostic tests for cross section dependence in panels. CESifo Working Paper, 2004, Paper No. 1229
34 Granger C W J. Some aspects of causal relationships. Journal of Econometrics, 2003, 112(1): 69–71
doi: 10.1016/S0304-4076(02)00148-3
35 Breitung J. A parametric approach to the estimation of cointegration vectors in panel data. Econometric Reviews, 2005, 24(2): 151–173
doi: 10.1081/ETC-200067895
36 Kar M, Nazlioglu S, Agir H. Financial development and economic growth nexus in the MENA countries: bootstrap panel granger causality analysis. Economic Modelling, 2011, 28(1-2): 685– 693
doi: 10.1016/j.econmod.2010.05.015
37 Pesaran M H, Shin Y, Smith R P. Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 1999, 94(446): 621–634
doi: 10.1080/01621459.1999.10474156
38 Dumitrescu E I, Hurlin C. Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 2012, 29(4): 1450–1460
doi: 10.1016/j.econmod.2012.02.014
39 Phillips P C B. Fully modified least squares and vector autoregression. Economic Modelling, 2012, 29(4): 1450–1460
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed