Abstract
This study aims to examine the convergence hypothesis of per capita carbon dioxide emission and its component such as coal, oil, and gas in the case of 53 countries covering the period of 1980 to 2016. In particular, we study whether countries are moving toward a common steady-state equilibrium condition in the per capita carbon emission or converging into different groups. To do so, this study used Phillips and Sul (Econometrica 75(6): 1771–1855, 2007, J Appl Econ 24(7): 1153–1185, 2009) technique. Our results show no evidence of convergence for full sample. However, our results support the evidence of two club convergence of total emission, emission from gas and petroleum consumption, while three clubs are noticed in case of per capita carbon dioxide emission from coal use. This invalidates the equality rule of participation of each country in climate change policy. Further, similar results emerge in case of total emission and petroleum where club 1 consists of mostly developed countries while club 2 has a large number of developing countries. Interestingly, we do not find any divergence behavior across all countries in the sample. We find that natural gas is the major component to drive the total carbon emission convergence in case of our sample countries.
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Notes
The coefficient of β provides a scaled estimator of the speed of convergence parameter α, specifically β = 2α.
References
Acar S, Lindmark M (2016) Periods of converging carbon dioxide emissions from oil combustion in a pre-Kyoto context. Environ Dev 19:1–9. https://doi.org/10.1016/j.envdev.2016.06.005
Acar S, Söderholm P, Brännlund R (2018) Convergence of per capita carbon dioxide emissions: implications and meta-analysis. Clim Pol 18(4):512–525. https://doi.org/10.1080/14693062.2017.1314244
Ahmed M, Khan AM, Bibi S, Zakaria M (2017) Convergence of per capita CO2 emissions across the globe: insights via wavelet analysis. Renew Sust Energ Rev 75:86–97. https://doi.org/10.1016/j.rser.2016.10.053
Aldy JE (2006) Per capita carbon dioxide emissions: convergence or divergence? Environ Resour Econ 33(4):533–555. https://doi.org/10.1007/s10640-005-6160-x
Aldy JE (2007) Divergence in state-level per capita carbon dioxide emissions. Land Econ 83(3):353–369. https://doi.org/10.3368/le.83.3.353
Apergis N, Payne JE (2017) Per capita carbon dioxide emissions across U.S. states by sector and fossil fuel source: evidence from Club convergence tests. Energy Econ 63:365–372. https://doi.org/10.1016/j.eneco.2016.11.027
Apergis N, Payne JE, Topcu M (2017) Some empirics on the convergence of carbondioxide emissions intensity across US states. Energy Sources, Part B: Economics, Planning, and Policy 12(9). https://doi.org/10.1080/15567249.2017.1310956
Barassi MR, Cole MA, Elliott RJR (2011) The stochastic convergence of CO2 emissions: a Long memory approach. Environ Resour Econ 49(3):367–385. https://doi.org/10.1007/s10640-010-9437-7
Bhat JA, Haider S, Kamaiah B (2018) Interstate energy efficiency of Indian paper industry: a slack-based non-parametric approach. Energy 161:284–298. https://doi.org/10.1016/j.energy.2018.07.138
Bilgili F, Ulucak R (2018) Is there deterministic, stochastic, and/or Club convergence in ecological footprint indicator among G20 countries? Environ Sci Pollut Res 25:35404–35419. https://doi.org/10.1007/s11356-018-3457-1
Boussemart JP, Leleu H, Shen Z (2015) Environmental growth convergence among Chinese regions. China Econ Rev 34:1–18. https://doi.org/10.1016/j.chieco.2015.03.003
Brock WA, Taylor MS (2010) The green Solow model. J Econ Growth 15(2):127–153. https://doi.org/10.1007/s10887-010-9051-0
Bulte E, List JA, Strazicich MC (2007) Regulatory federalism and the distribution of air pollutant emissions. J Reg Sci 47:155–178. https://doi.org/10.1111/j.1467-9787.2007.00504.x
Burnett JW (2013) Club convergence and clustering of U.S. energy-related CO2 emissions. AgEcon Search, presented at the Agricultural and Applied Economics Association, August 2013 https://ageconsearch.umn.edu/bitstream/149578/2/Burnett_AAEA_DC_2013.pdf
Burnett JW (2016) Club convergence and clustering of U.S. energy-related CO 2 emissions. Resour Energy Econ 46:62–84. https://doi.org/10.1016/j.reseneeco.2016.09.001
Durlauf SN, Johnson PA (1995) Multiple regimes and cross-country growth behaviour. J Appl Econ 10(4):365–384. https://doi.org/10.1002/jae.3950100404
Galor O (1996) Convergence? Inferences from theoretical models. Econ J 106(437):1056–1069. https://doi.org/10.2307/2235378
Hadri K, Kurozumi E (2012) A simple panel stationarity test in the presence of serial correlation and a common factor. Econ Lett 115(1):31–34. https://doi.org/10.1016/j.econlet.2011.11.036
Haider S, Ganaie AA (2017) Does energy efficiency enhance total factor productivity in case of India? OPEC Energy Rev 41(2):153–163
Hodrick RJ, Prescott EC (1997) Postwar U.S. business cycles: an empirical investigation. J Money Credit Bank 29:1–6. https://www.jstor.org/stable/2953682. Accessed 10 Feb 2019
Herrerias MJ (2013) The environmental convergence hypothesis: carbon dioxide emissions according to the source of energy. Energy Policy 61:1140–1150. https://doi.org/10.1016/j.enpol.2013.06.120
Huang B, Meng L (2013) Convergence of per capita carbon dioxide emissions in urban China: a spatio-temporal perspective. Appl Geogr 40:21–29. https://doi.org/10.1016/j.apgeog.2013.01.006
Islam N (2003) What have we learnt from the convergence debate? J Econ Surv 17(3):309–362. https://doi.org/10.1111/1467-6419.00197
Jobert T, Karanfil F, Tykhonenko A (2010) Convergence of per capita carbon dioxide emissions in the EU: legend or reality? Energy Econ 32(6):1364–1373. https://doi.org/10.1016/j.eneco.2010.03.005
Kounetas KE (2018) Energy consumption and CO2 emissions convergence in European Union member countries. A Tonneau des Danaides? Energy Econ 69:111–127. https://doi.org/10.1016/j.eneco.2017.11.015
Lanne M, Liski M (2004) Trends and breaks in per-capita carbon dioxide emissions, 1870-2028. Energy J 25(4). https://doi.org/10.5547/ISSN0195-6574-EJ-Vol25-No4-3
Lee C-C, Chang C-P (2008) New evidence on the convergence of per capita carbon dioxide emissions from panel seemingly unrelated regressions augmented dickey–fuller tests. Energy 33(9):1468–1475. https://doi.org/10.1016/j.energy.2008.05.002
Lee C-C, Chang C-P, Chen P-F (2008) Do CO2 emission levels converge among 21 OECD countries? New evidence from unit root structural break tests. Appl Econ Lett 15(7):551–556. https://doi.org/10.1080/13504850500426236
Li J, Huang X, Yang H, Chuai X, Wu C (2017) Convergence of carbon intensity in the Yangtze River Delta, China. Habitat International 60:58–68. https://doi.org/10.1016/j.habitatint.2016.12.012
Li X-L, Tang DP, Chang T (2014) CO2 emissions converge in the 50 U.S. states — sequential panel selection method. Econ Model 40:320–333. https://doi.org/10.1016/j.econmod.2014.04.003
Li X, Lin B (2013) Global convergence in per capita CO2 emissions. Renew Sust Energ Rev 24:357–363. https://doi.org/10.1016/j.rser.2013.03.048
Lin D, Hanscom L, Martindill J, Borucke M, Cohen L, Galli A, Lazarus E, Zokai G, Iha K, Eaton D, Wackernagel M (2018) Working Guidebook to the National Footprint Accounts. Global Footprint Network, Oakland
List JA (1999) Have the air pollutant emissions converged among U.S. regions? Evidence from unit root tests. South Econ J 66:144–155. https://www.jstor.org/stable/1060840. Accessed 10 Feb 2019
Long X, Sun M, Cheng F, Zhang J (2017) Convergence analysis of eco-efficiency of China’s cement manufacturers through unit root test of panel data. Energy 134:709–717. https://doi.org/10.1016/j.energy.2017.05.079
Moon HR, Perron B (2004) Testing for a unit root in panels with dynamic factors. J Econ 122(1):81–126. https://doi.org/10.1016/j.jeconom.2003.10.020
Nguyen Van P (2005) Distribution dynamics of CO2 emissions. Environ Resour Econ 32(4):495–508. https://doi.org/10.1007/s10640-005-7687-6
Nourry M (2009) Re-examining the empirical evidence for stochastic convergence of two air pollutants with a pair-wise approach. Environ Resour Econ 44(4):555–570. https://doi.org/10.1007/s10640-009-9301-9
Oliveira de G, Bourscheidt DM (2017) Multi-sectorial convergence in greenhouse gas emissions. J Environ Manag 196:402–410. https://doi.org/10.1016/j.jenvman.2017.03.034
Ordás Criado C, Grether J-M (2011) Convergence in per capita CO2 emissions: a robust distributional approach. Resour Energy Econ 33(3):637–665. https://doi.org/10.1016/j.reseneeco.2011.01.003
Panopoulou E, Pantelidis T (2009a) Club convergence in carbon dioxide emissions. Resour Energy Econ 44(1):47–70. https://doi.org/10.1007/s10640-008-9260-6
Panopoulou E, Pantelidis T (2009b) Club convergence in carbon dioxide emissions. Environ Resour Econ 44(1):47–70. https://doi.org/10.1007/s10640-008-9260-6
Payne JE, Miller S, Lee J, Cho MH (2014) Convergence of per capita sulfur dioxide emissions across U.S. states. Appl Econ 46:1202–1211. https://doi.org/10.1080/00036846.2013.868588
Pennino MG, Bellido JM, Conesa D, Coll M, Tortosa-Ausina E (2017) The analysis of convergence in ecological indicators: an application to the Mediterranean fisheries. Ecol Indic 78:449–457. https://doi.org/10.1016/j.ecolind.2017.03.041
Pesaran MH (2007) A simple panel unit root test in the presence of cross‐section dependence. J Appl Econometrics 22:265–312. https://doi.org/10.1002/jae.951
Pettersson F, Maddison D, Acar S, Söderholm P (2014) Convergence of carbon dioxide emissions: a review of the literature. Int Rev Environ Resour Econ 7(2):141–178. https://doi.org/10.1561/101.00000059
Phillips PCB, Sul D (2007) Transition modeling and econometric convergence tests. Econometrica 75(6):1771–1855. https://doi.org/10.1111/j.1468-0262.2007.00811.x
Phillips PCB, Sul D (2009) Economic transition and growth. J Appl Econ 24(7):1153–1185. https://doi.org/10.1002/jae.1080
Presno MJ, Landajo M, Fernández González P (2018) Stochastic convergence in per capita CO2 emissions. An approach from nonlinear stationarity analysis. Energy Econ 70:563–581. https://doi.org/10.1016/j.eneco.2015.10.001
Quah D (1993) Galton’s fallacy and tests of the convergence hypothesis. Scand J Econ 95(4):427–443. https://doi.org/10.2307/3440905
Rath BN, Akram V, Bal DP, Mahalik MK (2019) Do fossil fuel and renewable energy consumption affect total factor productivity growth? Evidence from cross-country data with policy insights. Energy Policy 127:186–199. https://doi.org/10.1016/j.enpol.2018.12.014
Smith LV, Leybourne S, Kim T-H, Newbold P (2004) More powerful panel data unit root tests with an application to mean reversion in real exchange rates. J Appl Econ 19(2):147–170. https://doi.org/10.1002/jae.723
Schnurbus J, Haupt H, Meier V (2017) Economic transition and growth: a replication. J Appl Econ 32(5):1039–1042. https://doi.org/10.1002/jae.2544
Solarin SA (2014) Convergence of CO2 emission levels: evidence from African countries. Econ Res 19(1):65–92
Solarin SA (2019) Convergence in CO2 emissions, carbon footprint and ecological footprint: evidence from OECD countries. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-018-3993-8
Solarin SA, Tiwari A, Bello MO (2019) A multi-country convergence analysis of ecological footprint and its components. Sustain Cities Soc 46:101422. https://doi.org/10.1016/j.scs.2019.101422
Solow RM (1956) A contribution to theory of economic growth. Q J Econ 70:65–64. https://doi.org/10.2307/1884513
Stegman A, McKibbin WJ (2005) Convergence and per capita emissions. Brookings Discussion Papers in International Economics, No. 167
Strazicich MC, List JA (2003) Are CO2 emission levels converging among industrial countries? Environ Resour Econ 24(3):263–271. https://doi.org/10.1023/A:1022910701857
Tiwari AK, Kyophilavong P, Albulescu CT (2016) Testing the stationarity of CO 2 emissions series in sub-Saharan African countries by incorporating nonlinearity and smooth breaks. Res Int Bus Financ 37:527–540. https://doi.org/10.1016/j.ribaf.2016.01.005
Tiwari C, Mishra M (2017) Testing the CO2 emissions convergence: evidence from Asian countries. IIM Kozhikode Society & Management Review 6(1):67–72. https://doi.org/10.1177/2277975216674073
Ulucak R, Apergis N (2018) Does convergence really matter for the environment? An application based on Club convergence and on the ecological footprint concept for the EU countries. Environ Sci Pol 80:21–27. https://doi.org/10.1016/j.envsci.2017.11.002
Wang Y, Zhang P, Huang D, Cai C (2014) Convergence behavior of carbon dioxide emissions in China. Econ Modell 43:75–80. https://doi.org/10.1016/j.econmod.2014.07.040
WEO (2018) World Energy Outlook 2018. https://webstore.iea.org/world-energy-outlook-2018. Accessed 18 Oct 2018
Westerlund J, Basher SA (2008) Testing for convergence in carbon dioxide emissions using a century of panel data. Environ Resour Econ 40(1):109–120. https://doi.org/10.1007/s10640-007-9143-2
Yan Z, Du K, Yang Z, Deng M (2017) Convergence or divergence? Understanding the global development trend of low-carbon technologies. Energy Policy 109:499–509. https://doi.org/10.1016/j.enpol.2017.07.024
Yang J, Zhang T, Sheng P, Shackman JD (2016) Carbon dioxide emissions and interregional economic convergence in China. Econ Model 52:672–680. https://doi.org/10.1016/j.econmod.2015.09.038
Wu J, Wu Y, Guo X, Cheong TS (2016) Convergence of carbon dioxide emissions in Chinese cities: a continuous dynamic distribution approach. Energy Policy 91:207–219. https://doi.org/10.1016/j.enpol.2015.12.028
Yu S, Hu X, Fan JL, Cheng J (2018) Convergence of carbon emissions intensity across Chinese industrial sectors. J Clean Prod 194:179–192. https://doi.org/10.1016/j.jclepro.2018.05.121
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The authors gratefully acknowledge the valuable suggestions received from the anonymous referee in the earlier draft of this paper. The usual disclaimer applies.
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Haider, S., Akram, V. Club convergence of per capita carbon emission: global insight from disaggregated level data. Environ Sci Pollut Res 26, 11074–11086 (2019). https://doi.org/10.1007/s11356-019-04573-9
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DOI: https://doi.org/10.1007/s11356-019-04573-9