Abstract
This paper analyzes the factors explaining the slight decrease of CO2 emissions in the European Union (EU), recorded during the last period. With a focus on 12 EU countries, we apply a panel data analysis over the period 1990 to 2017 and we investigate the impact of renewable energy share in energy production, and the role of EU environmental regulations, in explaining the level of CO2 emissions. Our static and dynamic panel data analysis points to a negative impact of an increased renewable energy share on CO2 emissions, while there is no clear evidence about the role of environmental regulations. It appears that the 2020 climate and energy package contributed to the reduction of pollution level, while the ratification of the Kyoto protocol by the EU countries had no significant influence. At the same time, our findings validate the environmental Kuznets curve (EKC) hypothesis and the pollution halo (PH) hypothesis, showing that foreign companies export eco-friendly technologies. Our results prove to be robust regarding the use of static fixed and random effects models, of two-stage least square models and the use of difference and system generalized method of moments (GMM) frameworks.
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Figure 1 (Appendix) presents the trend of CO2 emissions in the EU, using World Bank statistics. We can notice a decrease of CO2 emissions starting with the 1980s, while the reduction of CO2 emissions accelerated starting with the 2000s, when the EU legislative packages for climate change enter into force. At the same time, the CO2 intensity (CO2 emissions to GDP ratio) continued to decrease starting with the 1970s.
Tiwari and Albulescu (2016) raised a series of questions about the use of Energy Information Agency (EIA) data for the renewable energy share because the renewable to total energy ratio is incredibly high for a series of countries. Therefore, we prefer to use Enerdata for the renewable share, although these data cover only 12 EU countries.
European Council, Presidency Conclusions—Dublin 25/26 June 1990, Annex II: The Environmental Imperative, Council of the European Union, SN 60/1/90, 1990.
In 2004, the ETS was widened to incorporate the trading certificates of the so-called Kyoto flexible mechanism as compliance tools.
According to the EU Commission, the ETS is the EU’s key tool for cutting greenhouse gas emissions from large-scale facilities in the power and industry sectors, as well as the aviation sector. The ETS covers around 45% of the EU’s greenhouse gas emissions. In 2020, the target is for the emissions from these sectors to be 21% lower than in 2005. The sectors not included in the ETS account for 55% of total EU emissions and originate in housing, agriculture, waste, and transport (excluding aviation). The strategy overview of the Commission can be found at: https://ec.europa.eu/clima/policies/strategies/2020_en.
The Regulation lays down obligations on the member states with respect to their minimum contributions for the period from 2021 to 2030 to fulfilling the Union’s target of reducing its greenhouse gas emissions by 30% below 2005 levels in 2030.
Regulation (EU) 2018/841 of the European Parliament and of the Council of 30 May 2018 on the inclusion of greenhouse gas emissions and removals from land use, land use change, and forestry in the 2030 climate and energy framework
Directive (EU) 2018/410 of the European Parliament and of the Council of 14 March 2018 amending Directive 2003/87/EC to enhance cost-effective emission reductions and low-carbon investments, and Decision (EU) 2015/1814, OJ Nr. L 76/3, 2018
Enerdata contains statistics for 12 EU countries namely Belgium, Czech Republic, France, Germany, Italy, Netherlands, Poland, Portugal, Romania, Spain, Sweden, and the UK.
Table 13 (Appendix) presents the list of explanatory variables for the two type of estimations addressing the determinants of CO2 emissions (main results) and of CO2 intensity (robustness analysis).
We have also performed a series of panel unit root tests, which provide mixed evidence regarding the stationarity of our variables (these results can be provided by the authors upon request).
An endogeneity bias may also appear in the case of unemployment rate (Lan et al. 2012) or renewable share in total energy production (Chen et al. 2019). In the empirical models addressing the endogeneity issues, we have considered the FDI as an endogenous variable. At the same time, we have performed all the computations considering FDI, unemployment, and renewable share as endogenous. Nevertheless, the results do not change and remain robust (these results can be provided by authors upon request).
The low-order dummy variables of the interaction terms are included in Model 2 only if their coefficients are significant in Model 1.
We do not consider here the FDI structure. Nevertheless, these results are not surprising given the fact that in 2010, for example, the intra-EU inward FDI represented 67% of the EU GDP, while the extra-EU inward FDI represented less than 1% (Faes-Cannito et al. 2012). Furthermore, in 2015, the extra-EU inward FDI was dominated by the USA (41.4%), offshore financial centers (25.8%), and Switzerland (10.8%).
Using GMM errors does not, however, change in a significant way the estimated coefficients.
Arellano-Bond AR (1) test result is ignored in that context given that the first lag of variables is used as instrument.
References
Acaravci A, Ozturk I (2010) On the relationship between energy consumption, CO2 emissions and economic growth in Europe. Energy 35:5412–5420
Albulescu CT, Tămășilă M (2016) Exploring the role of FDI in enhancing the entrepreneurial activity in Europe: a panel data analysis. Int Entrep Manag J 12:629–657
Aliprandi F, Stoppato A, Mirandola A (2016) Estimating CO2 emissions reduction from renewable energy use in Italy. Renew Energy 96:220–232
Ang JB (2007) CO2 emissions, energy consumption, and output in France. Energy Policy 35:4772–4778
Apergis N, Ozturk I (2015) Testing environmental Kuznets curve hypothesis in Asian countries. Ecol Indic 52:16–22
Arellano M, Bond SR (1991) Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev Econ Stud 58:277–297
Atici C (2009) Carbon emissions in Central and Eastern Europe: environmental Kuznets curve and implications for sustainable development. Sustain Dev 17:155–160
Baek J (2015) Environmental Kuznets curve for CO2 emissions: the case of Arctic countries. Energy Econ 50:13–17
Bao Q, Chen Y, Song L (2011) Foreign direct investment and environmental pollution in China: a simultaneous equations estimation. Environ Dev Econ 16:71–92
Baum CF, Schaffer ME, Stillman S (2003) Instrumental variables and GMM: estimation and testing. Stata J 3:1–31
Baum CF, Schaffer ME, Stillman S (2007) Enhanced routines for instrumental variables/generalized method of moments estimation and testing. Stata J 7:465–506
Blanco L, Gonzalez F, Ruiz I (2013) The impact of FDI on CO2 emissions in Latin America. Oxf Dev Stud 41:104–121
Blundell RW, Bond SR (1998) Initial conditions and moment restrictions in dynamic panel data models. J Econ 87:115–143
Carrada-Bravo F (1995) Trade, foreign direct investment, and environmental policy: the case of Mexico. N Am J Econ Financ 6:203–210
Chen Y, Wang Z, Zhong Z (2019) CO2 emissions, economic growth, renewable and non-renewable energy production and foreign trade in China. Renew Energy 131:208–216
Cherni A, Jouini SE (2017) An ARDL approach to the CO2 emissions, renewable energy and economic growth nexus: Tunisian evidence. Int J Hydrog Energy 42:29056–29066
Copeland B, Taylor MS (1994) North–South trade and the environment. Q J Econ 109:755–787
Dong K, Hochman G, Zhang Y, Sun R, Li H, Liao H (2018) CO2 emissions, economic and population growth, and renewable energy: empirical evidence across regions. Energy Econ 75:180–192
Eskeland GS, Harrison AE (2003) Moving to greener pastures? Multinationals and the pollution haven hypothesis. J Dev Econ 70:1–23
Faes-Cannito, F., Gambini, G., Istatkov, R., 2012. External trade. Eurostat statistics in focus, no.3/2012.
Grossman GM, Krueger AB (1995) Economic growth and the environment. Q J Econ 110:353–377
Holtz-Eakin D, Selden TM (1995) Stoking the fires? CO2 emissions and economic growth. J Public Econ 57:85–101
Hubler M, Keller A (2010) Energy savings via FDI? Empirical evidence from developing countries. Environ Dev Econ 15:59–80
Inglesi-Lotz R, Dogan E (2018) The role of renewable versus non-renewable energy to the level of CO2 emissions a panel analysis of sub-Saharan Africa’s Вig 10 electricity generators. Renew Energy 123:36–43
Jalil A, Mahmud SF (2009) Environment Kuznets curve for CO2 emissions: a cointegration analysis for China. Energy Policy 37:5167–5172
Kuznets S (1955) Economic growth and income inequality. Am Econ Rev 45:1–28
Lan J, Kakinaka M, Huang X (2012) Foreign direct investment, human capital, and environmental pollution in China. Environ Resour Econ 51:255–275
Ma D, Fei R, Yu Y (2018) How government regulation impacts on energy and CO2 emissions performance in China’s mining industry. Res Policy 62:651–663. https://doi.org/10.1016/j.resourpol.2018.11.013
Menyah K, Wolde-Rufael Y (2010) CO2 emissions, nuclear energy, renewable energy and economic growth in the US. Energy Policy 38:2911–2915
Nasir M, Rehman FU (2011) Environmental Kuznets curve for carbon emissions in Pakistan: an empirical investigation. Energy Policy 39:1857–1864
Niedertscheider M, Haas W, Göthe C (2018) Austrian climate policies and GHG-emissions since 1990: What is the role of climate policy integration? Environ Sci Policy 81:10–17
Perman R, Stern DI (2003) Evidence from panel unit root and cointegration tests that the environmental Kuznets curve does not exist. Aust J Agric Resour Econ 47:325–347
Pesaran MH (2007) A simple panel unit root test in the presence of cross-section dependence. J Appl Econ 22:265–312
Roodman D (2009) How to do xtabond2: an introduction to difference and system GMM in Stata. Stata J 9:86–136
Sapkota P, Bastola U (2017) Foreign direct investment, income, and environmental pollution in developing countries: panel data analysis of Latin America. Energy Econ 64:206–212
Seker F, Ertugrul HM, Cetin M (2015) The impact of foreign direct investment on environmental quality: a bounds testing and causality analysis for Turkey. Renew Sustain Energy Rev 52:347–356
Selden TM, Song D (1994) Environmental quality and development: is there a Kuznets curve for air pollution emissions? J Environ Econ Manag 27:147–162
Shahbaz M, Mutascu M, Azim P (2013) Environmental Kuznets curve in Romania and the role of energy consumption. Renew Sustain Energy Rev 18:165–173
Shahbaz M, Nasreen S, Abbas F, Anis O (2015) Does foreign direct investment impede environmental quality in high-, middle-, and low-income countries? Energy Econ 65:183–193
Shahbaz M, Shafiullah M, Papavassiliou VG, Hammoudeh S (2017) The CO2–growth nexus revisited: a nonparametric analysis for the G7 economies over nearly two centuries. Energy Econ 65:183–193
Sinha A, Shahbaz M (2018) Estimation of environmental Kuznets Curve for CO2 emission: role of renewable energy generation in India. Renew Energy 119:703–711
Solarin SA, Al-Mulali U, Musah I, Ozturk I (2017) Investigating the pollution haven hypothesis in Ghana: an empirical investigation. Energy 124:706–719
Soytas U, Sari R, Ewing BT (2007) Energy consumption, income, and carbon emissions in the United States. Ecol Econ 62:482–489
Spatareanu M (2007) Searching for pollution havens: the impact of environmental regulations on foreign direct investment. J Environ Dev 16:161–182
Stern DI (2004) The rise and fall of the Environmental Kuznets Curve. World Dev 32:1419–1439
Tang CF, Tan BW (2015) The impact of energy consumption, income and foreign direct investment on carbon dioxide emissions in Vietnam. Energy 79:447–454
Tiwari AK, Albulescu CT (2016) Renewable-to-total electricity consumption ratio: estimating the permanent or transitory fluctuations based on flexible Fourier stationarity and unit root tests. Renew Sustain Energy Rev 57:1409–1427
Tiwari AK, Shahbaz M, Hye QMA (2013) The environmental Kuznets curve and the role of coal consumption in India: cointegration and causality analysis in an open economy. Renew Sustain Energy Rev 18:519–527
Twumasi YA (2017) Relationship between CO2 emissions and renewable energy production in the United States of America. Arch Curr Res Int 7:1–12
Wenbo G, Yan C (2018) Assessing the efficiency of China’s environmental regulation on carbon emissions based on Tapio decoupling models and GMM models. Energy Rep 4:713–723
Yang H, He J, Chen S (2015) The fragility of the environmental Kuznets curve: revisiting the hypothesis with Chinese data via an “extreme bound analysis”. Ecol Econ 109:41–58
Youssef AB, Hammoudeh S, Omri A (2016) Simultaneity modeling analysis of the environmental Kuznets curve hypothesis. Energy Econ 60:266–274
Zhang C, Zhou X (2016) Does foreign direct investment lead to lower CO2 emissions? Evidence from a regional analysis in China. Renew Sust Energ Rev 58:943–951
Zhao X, Yin H, Zhao Y (2015) Impact of environmental regulations on the efficiency and CO2 emissions of power plants in China. Appl Energy 149:238–247
Zoundi Z (2017) CO2 emissions, renewable energy and the environmental Kuznets Curve, a panel cointegration approach. Renew Sustain Energy Rev 72:1067–1075
Funding
This work was supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CNCS–UEFISCDI, project number PN-III-P1-1.1-TE-2016-0142.
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Albulescu, C.T., Artene, A.E., Luminosu, C.T. et al. CO2 emissions, renewable energy, and environmental regulations in the EU countries. Environ Sci Pollut Res 27, 33615–33635 (2020). https://doi.org/10.1007/s11356-019-06155-1
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DOI: https://doi.org/10.1007/s11356-019-06155-1
Keywords
- CO2 emissions
- Environmental Kuznets curve hypothesis
- Pollution halo hypothesis
- Renewable energy production
- Environmental regulations
- Panel data analysis