Modeling the linkages among CO
CO2 emission
Causality
Energy consumption
Industrialization
SSA countries
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Aug 2021
Aug 2021
Historique:
received:
06
11
2020
accepted:
06
01
2021
pubmed:
20
3
2021
medline:
29
7
2021
entrez:
19
3
2021
Statut:
ppublish
Résumé
Over the past two decades, global CO
Identifiants
pubmed: 33738736
doi: 10.1007/s11356-021-12412-z
pii: 10.1007/s11356-021-12412-z
doi:
Substances chimiques
Carbon Dioxide
142M471B3J
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
38506-38521Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
Références
Acheampong AO (2018) Economic growth, CO2 emissions and energy consumption: what causes what and where? Energy Econ 74:677–692. https://doi.org/10.1016/j.eneco.2018.07.022
doi: 10.1016/j.eneco.2018.07.022
Al-Mulali U, Ozturk I (2015) The effect of energy consumption, urbanization, trade openness, industrial output, and the political stability on the environmental degradation in the MENA (Middle East and North African) Region. Energy 84:382–389. https://doi.org/10.1016/j.energy.2015.03.004
doi: 10.1016/j.energy.2015.03.004
Antonakakis N, Chatziantoniou I, Filis G (2017) Energy consumption, CO2 emissions, and economic growth: An ethical dilemma. Renew Sust Energ Rev 68:808–824. https://doi.org/10.1016/j.rser.2016.09.105
doi: 10.1016/j.rser.2016.09.105
Anwar A, Sarwar S, Amin W, Arshed N (2019) Agricultural practices and quality of environment: evidence for global perspective. Environ Sci Pollut Res 26(15):15617–15630. https://doi.org/10.1007/s11356-019-04957-x
doi: 10.1007/s11356-019-04957-x
Arouri MEH, Youssef AB, M'henni H, Rault C (2012) Energy consumption, economic growth and CO2 emissions in Middle East and North African countries. Energy Policy, 45, 342-349. https://doi.org/10.1016/j.enpol.2012.02.042
Awodumi OB, Adeleke AM (2016) Non-renewable energy and macroeconomic efficiency of seven major oil producing economies in Africa. Zagreb Int Rev Econ Bus 19(1):59–74. https://doi.org/10.1515/zireb-2016-0004
doi: 10.1515/zireb-2016-0004
Awodumi OB, Adewuyi AO (2020) The role of non-renewable energy consumption in economic growth and carbon emission: evidence from oil producing economies in Africa. Energy Strat Rev 27:1–19. https://doi.org/10.1016/j.esr.2019.100434
doi: 10.1016/j.esr.2019.100434
Baltagi BH, Feng Q, Kao C (2012) A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model. J Econ 170(1):164–177. https://doi.org/10.1016/j.jeconom.2012.04.004
doi: 10.1016/j.jeconom.2012.04.004
Bayar Y, Maxim A (2020) Financial development and CO2 emissions in post-transition European Union countries. Sustainability 12(7):1–15. https://doi.org/10.3390/su12072640
doi: 10.3390/su12072640
Bekhet HA, Matar A, Yasmin T (2017) CO2 emissions, energy consumption, economic growth, and financial development in GCC countries: dynamic simultaneous equation models. Renew Sust Energ Rev 70:117–132. https://doi.org/10.1016/j.rser.2016.11.089
doi: 10.1016/j.rser.2016.11.089
Bianco V, Cascetta F, Marino A, Nardini S (2019) Understanding energy consumption and carbon emissions in Europe: a focus on inequality issues. Energy 170:120–130. https://doi.org/10.1016/j.energy.2018.12.120
doi: 10.1016/j.energy.2018.12.120
Bond S, Eberhardt M (2013) Accounting for unobserved heterogeneity in panel time series models. Nuffield College, University of Oxford, Working Paper
Breusch TS, Pagan AR (1980) The Lagrange multiplier test and its applications to model specification in econometrics. Rev Econ Stud 47(1):239–253. https://doi.org/10.2307/2297111
doi: 10.2307/2297111
Cai Y, Sam CY, Chang T (2018) Nexus between clean energy consumption, economic growth and CO2 emissions. J Clean Prod 182:1001–1011. https://doi.org/10.1016/j.jclepro.2018.02.035
doi: 10.1016/j.jclepro.2018.02.035
Chen P-Y, Chen S-T, Hsu C-S, Chen C-C (2016) Modeling the global relationships among economic growth, energy consumption and CO2 emissions. Renew Sust Energ Rev 65:420–431. https://doi.org/10.1016/j.rser.2016.06.074
doi: 10.1016/j.rser.2016.06.074
Cheng K (2009) Urbanization, technology innovation and economic growth. Stat Res 26(5):40–46
Chudik A, Pesaran MH (2015) Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. J Econ 188(2):393–420. https://doi.org/10.1016/j.jeconom.2015.03.007
doi: 10.1016/j.jeconom.2015.03.007
Ding Y, Li F (2017) Examining the effects of urbanization and industrialization on carbon dioxide emission: evidence from China's provincial regions. Energy 125:533–542. https://doi.org/10.1016/j.energy.2017.02.156
doi: 10.1016/j.energy.2017.02.156
Dogan E, Inglesi-Lotz R (2020) The impact of economic structure to the environmental Kuznets curve (EKC) hypothesis: evidence from European countries. Environ Sci Pollut Res 27(11):12717–12724. https://doi.org/10.1007/s11356-020-07878-2
doi: 10.1007/s11356-020-07878-2
Dogan E, Turkekul B (2016) CO 2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environ Sci Pollut Res 23(2):1203–1213. https://doi.org/10.1007/s11356-015-5323-8
doi: 10.1007/s11356-015-5323-8
Dong F, Wang Y, Su B, Hua Y, Zhang Y (2019) The process of peak CO2 emissions in developed economies: a perspective of industrialization and urbanization. Resour Conserv Recycl 141:61–75. https://doi.org/10.1016/j.resconrec.2018.10.010
doi: 10.1016/j.resconrec.2018.10.010
Dumitrescu E-I, Hurlin C (2012) Testing for Granger non-causality in heterogeneous panels. Econ Model 29(4):1450–1460. https://doi.org/10.1016/j.econmod.2012.02.014
doi: 10.1016/j.econmod.2012.02.014
Eberhardt M, Bond S (2009) Cross-section dependence in nonstationary panel models: a novel estimator. In: MPRA Paper 17692. University Library of Munich, Germany
Ehigiamusoe KU, Lean HH, Smyth R (2020) The moderating role of energy consumption in the carbon emissions-income nexus in middle-income countries. Appl Energy 261:1–13. https://doi.org/10.1016/j.apenergy.2019.114215
doi: 10.1016/j.apenergy.2019.114215
Esso LJ, Keho Y (2016) Energy consumption, economic growth and carbon emissions: cointegration and causality evidence from selected African countries. Energy 114:492–497. https://doi.org/10.1016/j.energy.2016.08.010
doi: 10.1016/j.energy.2016.08.010
Hanif I (2018) Energy consumption habits and human health nexus in Sub-Saharan Africa. Environ Sci Pollut Res 25(22):21701–21712. https://doi.org/10.1007/s11356-018-2336-0
doi: 10.1007/s11356-018-2336-0
Heidari H, Turan Katircioğlu S, Saeidpour L (2015) Economic growth, CO2 emissions, and energy consumption in the five ASEAN countries. Int J Electr Power Energy Syst 64:785–791. https://doi.org/10.1016/j.ijepes.2014.07.081
doi: 10.1016/j.ijepes.2014.07.081
Heravi G, Rostami M, Kebria MF (2020) Energy consumption and carbon emissions assessment of integrated production and erection of buildings’ pre-fabricated steel frames using lean techniques. J Clean Prod 253:1–14. https://doi.org/10.1016/j.jclepro.2020.120045
doi: 10.1016/j.jclepro.2020.120045
Holtz-Eakin D, Newey W, Rosen HS (1988) Estimating vector autoregressions with panel data. Econometrica 56:1371–1395. https://doi.org/10.2307/1913103
doi: 10.2307/1913103
Hong S, Lee Y, Yoon SJ, Lee J, Kang S, Won E-J, Hur J, Khim JS, Shin K-H (2019) Carbon and nitrogen stable isotope signatures linked to anthropogenic toxic substances pollution in a highly industrialized area of South Korea. Mar Pollut Bull 144:152–159. https://doi.org/10.1016/j.marpolbul.2019.05.006
doi: 10.1016/j.marpolbul.2019.05.006
Khoshnevis Yazdi S, Dariani AG (2019) CO2 emissions, urbanisation and economic growth: evidence from Asian countries. Econ Res-Ekonomska Istraživanja 32(1):510–530. https://doi.org/10.1080/1331677X.2018.1556107
doi: 10.1080/1331677X.2018.1556107
Kug J-S, Ahn M-S (2013) Impact of urbanization on recent temperature and precipitation trends in the Korean peninsula. Asia-Pac J Atmos Sci 49(2):151–159. https://doi.org/10.1007/s13143-013-0016-z
doi: 10.1007/s13143-013-0016-z
Le T-H, Quah E (2018) Income level and the emissions, energy, and growth nexus: evidence from Asia and the Pacific. Int Econ 156:193–205. https://doi.org/10.1016/j.inteco.2018.03.002
doi: 10.1016/j.inteco.2018.03.002
Li, K., Hu, E., Xu, C., Musah, M., Kong, Y., Mensah, I. A., Zu J., Jiang W. Su, Y. (2020). A heterogeneous analysis of the nexus between energy consumption, economic growth and carbon emissions: evidence from the Group of Twenty (G20) countries. Energy Explor Exploit, 0(0), 1–23 https://doi.org/10.1177/0144598720980198
Li T, Li Y, An D, Han Y, Xu S, Lu Z, Crittenden J (2019) Mining of the association rules between industrialization level and air quality to inform high-quality development in China. J Environ Manag 246:564–574. https://doi.org/10.1016/j.jenvman.2019.06.022
doi: 10.1016/j.jenvman.2019.06.022
Lin B, Omoju OE, Nwakeze NM, Okonkwo JU, Megbowon ET (2016) Is the environmental Kuznets curve hypothesis a sound basis for environmental policy in Africa? J Clean Prod 133:712–724. https://doi.org/10.1016/j.jclepro.2016.05.173
doi: 10.1016/j.jclepro.2016.05.173
Liu X, Bae J (2018) Urbanization and industrialization impact of CO2 emissions in China. J Clean Prod 172:178–186. https://doi.org/10.1016/j.jclepro.2017.10.156
doi: 10.1016/j.jclepro.2017.10.156
Lopez L, Weber S (2017) Testing for Granger causality in panel data. Stata J 17(4):972–984
doi: 10.1177/1536867X1801700412
Lotfalipour MR, Falahi MA, Ashena M (2010) Economic growth, CO2 emissions, and fossil fuels consumption in Iran. Energy 35(12):5115–5120. https://doi.org/10.1016/j.energy.2010.08.004
doi: 10.1016/j.energy.2010.08.004
Menyah K, Wolde-Rufael Y (2010) CO2 emissions, nuclear energy, renewable energy and economic growth in the US. Energy Policy 38(6):2911–2915. https://doi.org/10.1016/j.enpol.2010.01.024
doi: 10.1016/j.enpol.2010.01.024
Musah M, Kong Y, Mensah IA, Antwi SK, Donkor M (2020) The link between carbon emissions, renewable energy consumption, and economic growth: a heterogeneous panel evidence from West Africa. Environ Sci Pollut Res 27(23):28867–28889. https://doi.org/10.1007/s11356-020-08488-8
doi: 10.1007/s11356-020-08488-8
Nickell S (1981) Biases in dynamic models with fixed effects. Econometrica 49:1417–1426. https://doi.org/10.2307/1911408
doi: 10.2307/1911408
Ozcan B, Tzeremes PG, Tzeremes NG (2020) Energy consumption, economic growth and environmental degradation in OECD countries. Econ Model 84:203–213. https://doi.org/10.1016/j.econmod.2019.04.010
doi: 10.1016/j.econmod.2019.04.010
Pao H-T, Chen C-C (2019) Decoupling strategies: CO2 emissions, energy resources, and economic growth in the Group of Twenty. J Clean Prod 206:907–919. https://doi.org/10.1016/j.jclepro.2018.09.190
doi: 10.1016/j.jclepro.2018.09.190
Pata, U. K. (2018). The effect of urbanization and industrialization on carbon emissions in Turkey: evidence from ARDL bounds testing procedure. Environmental Science and Pollution Research, 25(8), 7740-7747. 7747. https://doi.org/10.1007/s11356-017-1088-6
Pesaran, H. (2004). General diagnostic tests for cross-sectional dependence in panels. University of Cambridge, Cambridge Working Papers in Economics, 435
Pesaran HM (2007) A simple panel unit root test in the presence of cross-section dependence. J Appl Econ 22:265–312. https://doi.org/10.1002/jae.951
doi: 10.1002/jae.951
Pesaran MH (2006) Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica 74(4):967–1012. https://doi.org/10.1111/j.1468-0262.2006.00692.x
doi: 10.1111/j.1468-0262.2006.00692.x
Pesaran MH (2015) Testing weak cross-sectional dependence in large panels. Econ Rev 34(6–10):1089–1117. https://doi.org/10.1080/07474938.2014.956623
doi: 10.1080/07474938.2014.956623
Pesaran MH, Smith R (1995) Estimating long-run relationships from dynamic heterogeneous panels. J Econ 68(1):79–113. https://doi.org/10.1016/0304-4076(94)01644-F
doi: 10.1016/0304-4076(94)01644-F
Pesaran MH, Yamagata T (2008) Testing slope homogeneity in large panels. J Econ 142(1):50–93. https://doi.org/10.1016/j.jeconom.2007.05.010
doi: 10.1016/j.jeconom.2007.05.010
Phillips PC, Sul D (2003) Dynamic panel estimation and homogeneity testing under cross section dependence. Econ J 6(1):217–259. https://doi.org/10.1111/1368-423X.00108
doi: 10.1111/1368-423X.00108
Raheem ID, Ogebe JO (2017) CO2emissions, urbanization and industrialization. In: CO2 emissions, urbanization and industrialization. Management of Environmental Quality, An International Journal, pp 1–22. https://doi.org/10.1108/MEQ-09-2015-0177
doi: 10.1108/MEQ-09-2015-0177
Sadorsky P (2014) The effect of urbanization on CO2 emissions in emerging economies. Energy Econ 41:147–153. https://doi.org/10.1016/j.eneco.2013.11.007
doi: 10.1016/j.eneco.2013.11.007
Sarafidis V, Robertson D (2009) On the impact of error cross-sectional dependence in short dynamic panel estimation. Econ J 12(1):62–81. https://doi.org/10.1111/j.1368-423X.2008.00260.x
doi: 10.1111/j.1368-423X.2008.00260.x
Shahbaz M, Hye QMA, Tiwari AK, Leitão NC (2013) Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia. Renew Sust Energ Rev 25:109–121. https://doi.org/10.1016/j.rser.2013.04.009
doi: 10.1016/j.rser.2013.04.009
Shrestha RM, Anandarajah G, Liyanage MH (2009) Factors affecting CO2 emission from the power sector of selected countries in Asia and the Pacific. Energy Policy 37(6):2375–2384. https://doi.org/10.1016/j.enpol.2009.01.032
doi: 10.1016/j.enpol.2009.01.032
Su Y, Liu Z (2016) The impact of foreign direct investment and human capital on economic growth: evidence from Chinese cities. China Econ Rev 37:97–109. https://doi.org/10.1016/j.chieco.2015.12.007
doi: 10.1016/j.chieco.2015.12.007
Swamy PA (1970) Efficient inference in a random coefficient regression model. Econometrica 38:311–323. https://doi.org/10.2307/1913012
doi: 10.2307/1913012
Timilsina GR, Shrestha A (2009) Factors affecting transport sector CO2 emissions growth in Latin American and Caribbean countries: an LMDI decomposition analysis. Int J Energy Res 33(4):396–414. https://doi.org/10.1002/er.1486
doi: 10.1002/er.1486
Tong, T., Ortiz, J., Xu, C., & Li, F. (2020). Economic growth, energy consumption, and carbon dioxide emissions in the E7 countries: a bootstrap ARDL bound test. Energy Sustain Soc, 10(1), 2–17. http//doi: https://doi.org/10.1186/s13705-020-00253-6
Ullah S, Ozturk I, Usman A, Majeed MT, Akhtar P (2020) On the asymmetric effects of premature deindustrialization on CO2 emissions: evidence from Pakistan. Environ Sci Pollut Res 27(12):13692–13702. https://doi.org/10.1007/s11356-020-07931-0
doi: 10.1007/s11356-020-07931-0
Wang Q, Zhang F (2020) Does increasing investment in research and development promote economic growth decoupling from carbon emission growth? An empirical analysis of BRICS countries. J Clean Prod 252:1–17. https://doi.org/10.1016/j.jclepro.2019.119853
doi: 10.1016/j.jclepro.2019.119853
Wang Z, Rasool Y, Zhang B, Ahmed Z, Wang B (2020) Dynamic linkage among industrialisation, urbanisation, and CO2 emissions in APEC realms: evidence based on DSUR estimation. Struct Chang Econ Dyn 52:382–389. https://doi.org/10.1016/j.strueco.2019.12.001
doi: 10.1016/j.strueco.2019.12.001
Westerlund J, Edgerton DL (2007) A panel bootstrap cointegration test. Econ Lett 97(3):185–190. https://doi.org/10.1016/j.econlet.2007.03.003
doi: 10.1016/j.econlet.2007.03.003
Wolde-Rufael Y, Idowu S (2017) Income distribution and CO2 emission: a comparative analysis for China and India. Renew Sust Energ Rev 74:1336–1345. https://doi.org/10.1016/j.rser.2016.11.149
doi: 10.1016/j.rser.2016.11.149
Wu H, Xu L, Ren S, Hao Y, Yan G (2020) How do energy consumption and environmental regulation affect carbon emissions in China? New evidence from a dynamic threshold panel model. Res Policy 67:1–16. https://doi.org/10.1016/j.resourpol.2020.101678
doi: 10.1016/j.resourpol.2020.101678
Xu B, Lin B (2015) How industrialization and urbanization process impacts on CO2 emissions in China: evidence from nonparametric additive regression models. Energy Econ 48:188–202. https://doi.org/10.1016/j.eneco.2015.01.005
doi: 10.1016/j.eneco.2015.01.005
Zhu Z, Liu Y, Tian X, Wang Y, Zhang Y (2017) CO2 emissions from the industrialization and urbanization processes in the manufacturing center Tianjin in China. J Clean Prod 168:867–875. https://doi.org/10.1016/j.jclepro.2017.08.245
doi: 10.1016/j.jclepro.2017.08.245