Politická ekonomie X:X | DOI: 10.18267/j.polek.1511

Natural Resource Dependency, Political Stability, and Environmental Sustainability in the G7: Role of Operational Behaviors of Multinational Firms Using Quantile Regression

Mohammad Ridwan, Anowar Hossain, Tasfia Mahjabin, Md. Emran Hossain, Afsana Akther, Mohd Ziaur Rehman, Md. Eleais
Mohammad Ridwan , Department of Economics, Noakhali Science and Technology University, Noakhali, Bangladesh
Anowar Hossain , Department of Economics, Noakhali Science and Technology University, Noakhali, Bangladesh
Tasfia Mahjabin , Department of Economics, Noakhali Science and Technology University, Noakhali, Bangladesh
Md. Emran Hossain (corresponding author), Department of Agricultural Sciences, Texas State University, San Marcos, Texas, USA
Afsana Akther, Department of Economics, Noakhali Science and Technology University, Noakhali, Bangladesh
Mohd Ziaur Rehman, Department of Finance, College of Business Administration, King Saud University, Riyadh, Saudi Arabia
Md. Eleais, Department of Economics, Noakhali Science and Technology University, Noakhali, Bangladesh

This study examines the impact of natural resource dependence, political stability, and the operational behaviors of multinational corporations (MNCs) on CO2 emissions in the G7 region from 1996 to 2021. Due to the non-normal distribution of the data, a quantile regression approach is employed to assess how these factors influence CO2 emissions across different emission levels. The results indicate that economic growth, natural resource reliance, and political stability contribute to higher CO2 emissions, whereas MNCs\' operation al behaviors and renewable energy use significantly reduce emissions. Robustness checks using Driscoll-Kraay Standard Errors, Generalized Least Squares (GLS), and Panel Corrected Standard Errors (PCSE) validate these findings. The causality test further reveals unidirectional causality from GDP, operational behaviors of MNCs, and natural resource rents to CO2 emissions, while renewable energy use exhibits a bidirectional causal relationship with emissions.

Keywords: Natural resources, operation behavior, political stability, renewable energy, quantile regression

Vloženo: 2. listopad 2024; Revidováno: 25. duben 2025; Přijato: 5. květen 2025; Zveřejněno online: 16. prosinec 2025 

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    Reference

    1. Adebayo, T. S. (2022). Renewable energy consumption and environmental sustainability in Canada: Does political stability make a difference? Environmental Science and Pollution Research, 29(40), 61307-61322. https://doi.org/10.1007/s11356-022-20008-4 Přejít k původnímu zdroji...
    2. Adebayo, T. S., Akadiri, S. S., Akanni, E. O., & Sadiq-Bamgbopa, Y. (2022). Does political risk drive environmental degradation in BRICS countries? Evidence from method of moments quantile regression. Environmental Science and Pollution Research, 29(21), 32287-32297. Přejít k původnímu zdroji...
    3. Agbonaye, O., Keatley, P., Huang, Y., Bani Mustafa, M., & Hewitt, N. (2020). Design, valuation and comparison of demand response strategies for congestion management. Energies, 13(22), 6085. https://doi.org/10.3390/en13226085 Přejít k původnímu zdroji...
    4. Aladejare, S. A. (2022). Natural resource rents, globalisation and environmental degradation: new insight from 5 richest African economies. Resources Policy, 78, 102909. Přejít k původnímu zdroji...
    5. Alotaibi, A. A., & Alajlan, N. (2021). Using quantile regression to analyze the relationship between socioeconomic indicators and carbon dioxide emissions in G20 countries. Sustainability, 13(13), 7011. https://doi.org/10.3390/su13137011 Přejít k původnímu zdroji...
    6. Auty, R. M. (Ed.). (2001). Resource abundance and economic development. Oxford university press.
    7. Balcilar, M., Usman, O., & Ike, G. N. (2023). Operational behaviours of multinational corporations, renewable energy transition, and environmental sustainability in Africa: Does the level of natural resource rents matter?. Resources Policy, 81, 103344. https://doi.org/10.1016/j.resourpol.2023.103344 Přejít k původnímu zdroji...
    8. Baloch, M. A., Khan, S. U. D., Ulucak, Z. Ş., & Ahmad, A. (2020). Analyzing the relationship between poverty, income inequality, and CO2 emission in Sub-Saharan African countries. Science of the Total Environment, 740, 139867. https://doi.org/10.1016/j.scitotenv.2020.139867 Přejít k původnímu zdroji...
    9. Baloch, M. A., Mahmood, N., & Zhang, J. W. (2019). Effect of natural resources, renewable energy and economic development on CO2 emissions in BRICS countries. Science of the Total Environment, 678, 632-638.https://doi.org/10.1016/j.scitotenv.2019.05.028 Přejít k původnímu zdroji...
    10. Balsalobre-Lorente, D., Shahbaz, M., Roubaud, D., & Farhani, S. (2018). How economic growth, renewable electricity and natural resources contribute to CO2 emissions?. Energy policy, 113, 356-367. https://doi.org/10.1016/j.enpol.2017.10.050 Přejít k původnímu zdroji...
    11. Baz, K., Cheng, J., Xu, D., Abbas, K., Ali, I., Ali, H., & Fang, C. (2021). Asymmetric impact of fossil fuel and renewable energy consumption on economic growth: A nonlinear technique. Energy, 226, 120357. https://doi.org/10.1016/j.energy.2021.120357 Přejít k původnímu zdroji...
    12. Bouguerra, A., Hughes, M., Cakir, M. S., & Tatoglu, E. (2023). Linking entrepreneurial orientation to environmental collaboration: a stakeholder theory and evidence from multinational companies in an emerging market. British journal of management, 34(1), 487-511. Přejít k původnímu zdroji...
    13. Bravo-Ortega, C., & De Gregorio, J. (2007). The relative richness of the poor? Natural resources, human capital, and economic growth. Lederman and Maloney, 71-103.
    14. British Petroleum (2021). Statistical Review of World Energy, British Petroleum, London, U.K., 2021.
    15. Brunnschweiler, C. N., & Bulte, E. H. (2008). The resource curse revisited and revised: A tale of paradoxes and red herrings. Journal of environmental economics and management, 55(3), 248-264. https://doi.org/10.1016/j.jeem.2007.08.004 Přejít k původnímu zdroji...
    16. Carfora, A., Ronghi, M., & Scandurra, G. (2017). The effect of climate finance on greenhouse gas emission: A quantile regression approach. International Journal of Energy Economics and Policy, 7(1), 185-199.
    17. Chen, Y., & Liu, W. (2025). Political Economy of Mitigating Carbon Emissions with Mild Constraints: An Empirical Study on Employment Based on Low-Carbon City Pilot Policy. Politická ekonomie, 73(1), 58-87. Přejít k původnímu zdroji...
    18. Cheng, C., Ren, X., Wang, Z., & Yan, C. (2019). Heterogeneous impacts of renewable energy and environmental patents on CO2 emission-Evidence from the BRIICS. Science of the total environment, 668, 1328-1338. https://doi.org/10.1016/j.scitotenv.2019.02.063 Přejít k původnímu zdroji...
    19. Chowdhury, M. A. F., Shanto, P. A., Ahmed, A., & Rumana, R. H. (2021). Does foreign direct investments impair the ecological footprint? New evidence from the panel quantile regression. Environmental Science and Pollution Research, 28, 14372-14385. Přejít k původnímu zdroji...
    20. Copeland, B. R., & Taylor, M. S. (2001). Trade and Transboundary Pollution 1. In The Economics of International Trade and the Environment (pp. 119-142). CRC Press. Přejít k původnímu zdroji...
    21. Danish, Baloch, M. A., Mahmood, N., & Zhang, J. W. (2019). Effect of natural resources, renewable energy and economic development on CO2 emissions in BRICS countries. Science of the Total Environment, 678, 632-638. Přejít k původnímu zdroji...
    22. De Marco, A., Proietti, C., Anav, A., Ciancarella, L., D'Elia, I., Fares, S., ... & Leonardi, C. (2019). Impacts of air pollution on human and ecosystem health, and implications for the National Emission Ceilings Directive: Insights from Italy. Environment International, 125, 320-333. https://doi.org/10.1016/j.envint.2019.01.064 Přejít k původnímu zdroji...
    23. Depren, S. K., Erdogan, S., Kartal, M. T., & Pata, U. K. (2024). Effect of political stability, geopolitical risk and R&D investments on environmental sustainability: Evidence from European countries by novel quantile models. Politická ekonomie, 72(2), 151-180. Přejít k původnímu zdroji...
    24. Dincer, I., & Rosen, M. (2002). Thermal Energy Storage and. Thermal Energy Storage: Systems and Applications, 235. Přejít k původnímu zdroji...
    25. Dogan, E., & Turkekul, B. (2016). CO 2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environmental Science and Pollution Research, 23, 1203-1213. https://doi.org/10.1007/s11356-015-5323-8 Přejít k původnímu zdroji...
    26. Driscoll, J. C., & Kraay, A. C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. Review of economics and statistics, 80(4), 549-560. https://doi.org/10.1162/003465398557825 Přejít k původnímu zdroji...
    27. Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic modelling, 29(4), 1450-1460.https://doi.org/10.1016/j.econmod.2012.02.014 Přejít k původnímu zdroji...
    28. Dyreng, S., & Hanlon, M. (2021). Tax avoidance and multinational firm behavior. Global goliaths: Multinational corporations in the 21st century economy, 437. Přejít k původnímu zdroji...
    29. Famanta, M., Randhawa, A. A., & Yajing, J. (2024). The impact of green FDI on environmental quality in less developed countries: A case study of load capacity factor based on PCSE and FGLS techniques. Heliyon, 10(7). Přejít k původnímu zdroji...
    30. Farooq, F., Sajid, M., Faheem, M., & Khan, K. H. (2024). Evaluating the influence of Green Growth, Foreign Direct Investment and Financial Development towards Sustainable Environment: Evidence by Green Finance Theory. Bulletin of Business and Economics (BBE), 13(2), 44-52. Přejít k původnímu zdroji...
    31. Fatah, O. R., & Altaee, H. H. A. (2024). The Role of Political Stability in Nine Arab Natural Resource-Abundant Countries (ANRAC) Toward Environmental Sustainability through CO2 Mitigation. International Journal of Energy Economics and Policy, 14(3), 28-37. Přejít k původnímu zdroji...
    32. Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: journal of the Econometric Society, 424-438. https://doi.org/10.2307/1912791 Přejít k původnímu zdroji...
    33. Gyamfi, B. A., Onifade, S. T., Nwani, C., & Bekun, F. V. (2022). Accounting for the combined impacts of natural resources rent, income level, and energy consumption on environmental quality of G7 economies: a panel quantile regression approach. Environmental Science and Pollution Research, 29(2), 2806-2818. https://doi.org/10.1007/s11356-021-15756-8 Přejít k původnímu zdroji...
    34. Halicioglu, F., & Ketenci, N. (2018). Output, renewable and nonrenewable energy production, and international trade: Evidence from EU-15 countries. Energy, 159, 995-1002. https://doi.org/10.1016/j.energy.2018.06.197 Přejít k původnímu zdroji...
    35. Halliru, A. M., Loganathan, N., Hassan, A. A. G., Mardani, A., & Kamyab, H. (2020). Re-examining the environmental Kuznets curve hypothesis in the Economic Community of West African States: A panel quantile regression approach. Journal of Cleaner Production, 276, 124247. https://doi.org/10.1016/j.jclepro.2020.124247 Přejít k původnímu zdroji...
    36. Hossain, M. E., Islam, M. S., Bandyopadhyay, A., Awan, A., Hossain, M. R., & Rej, S. (2022). Mexico at the crossroads of natural resource dependence and COP26 pledge: Does technological innovation help?. Resources Policy, 77, 102710. Přejít k původnímu zdroji...
    37. Hossain, M. R., Rej, S., Awan, A., Bandyopadhyay, A., Islam, M. S., Das, N., & Hossain, M. E. (2023). Natural resource dependency and environmental sustainability under N-shaped EKC: the curious case of India. Resources Policy, 80, 103150. Přejít k původnímu zdroji...
    38. IEA (2021). Executive summary - achieving net zero electricity sectors in G7 members. 2021.
    39. Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of econometrics, 115(1), 53-74. https://doi.org/10.1016/S0304-4076(03)00092-7 Přejít k původnímu zdroji...
    40. Jiang, S., Chishti, M. Z., Rjoub, H., & Rahim, S. (2022). Environmental R&D and trade-adjusted carbon emissions: evaluating the role of international trade. Environmental Science and Pollution Research, 29(42), 63155-63170. Přejít k původnímu zdroji...
    41. Jung, Y., Lee, Y., & MacEachern, S. N. (2015). Efficient quantile regression for heteroscedastic models. Journal of Statistical Computation and Simulation, 85(13), 2548-2568. https://doi.org/10.1080/00949655.2014.967244 Přejít k původnímu zdroji...
    42. Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of econometrics, 90(1), 1-44. https://doi.org/10.1016/S0304-4076(98)00023-2 Přejít k původnímu zdroji...
    43. Kartal, M. T., Depren, S. K., Kirikkaleli, D., Depren, Ö., & Khan, U. (2022). Asymmetric and long-run impact of political stability on consumption-based carbon dioxide emissions in Finland: evidence from nonlinear and Fourier-based approaches. Journal of Environmental Management, 321, 116043. Přejít k původnímu zdroji...
    44. Khalil, S., & Inam, Z. (2006). Is trade good for environment? A unit root cointegration analysis. The Pakistan Development Review, 1187-1196. Přejít k původnímu zdroji...
    45. Khan, M. A., & Ozturk, I. (2020). Examining foreign direct investment and environmental pollution linkage in Asia. Environmental Science and Pollution Research, 27(7), 7244-7255. https://doi.org/10.1007/s11356-019-07387-x Přejít k původnímu zdroji...
    46. Kirikkaleli, D., Shah, M. I., Adebayo, T. S., & Altuntaş, M. (2022). Does political risk spur environmental issues in China?. Environmental Science and Pollution Research, 29(41), 62637-62647. Přejít k původnímu zdroji...
    47. Koenker, R. (2005). Quantile regression (Vol. 38). Cambridge university press. Přejít k původnímu zdroji...
    48. Koenker, R., & Bassett Jr, G. (1978). Regression quantiles. Econometrica: journal of the Econometric Society, 33-50. https://doi.org/10.2307/1913643. Přejít k původnímu zdroji...
    49. Kor, S., & Qamruzzaman, M. (2024). Decoding the environmental synergy in BRI nations: analyzing the influence of renewable energy adoption, financial evolution, FDI, and capital resilience on sustainability. International Journal of Energy Economics and Policy, 14(3), 582-599. Přejít k původnímu zdroji...
    50. Kraft, J., & Kraft, A. (1978). On the relationship between energy and GNP. The Journal of Energy and Development, 401-403.
    51. Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of econometrics, 108(1), 1-24.https://doi.org/10.1016/S0304-4076(01)00098-7 Přejít k původnímu zdroji...
    52. Lin, B., & Xu, B. (2018). Factors affecting CO2 emissions in China's agriculture sector: A quantile regression. Renewable and Sustainable Energy Reviews, 94, 15-27. https://doi.org/10.1016/j.rser.2018.05.065 Přejít k původnímu zdroji...
    53. Mrabet, Z., Alsamara, M., Mimouni, K., & Mnasri, A. (2021). Can human development and political stability improve environmental quality? New evidence from the MENA region. Economic modelling, 94, 28-44. Přejít k původnímu zdroji...
    54. Muhammad, B., Khan, M. K., Khan, M. I., & Khan, S. (2021). Impact of foreign direct investment, natural resources, renewable energy consumption, and economic growth on environmental degradation: evidence from BRICS, developing, developed and global countries. Environmental Science and Pollution Research, 28, 21789-21798. https://doi.org/10.1007/s11356-020-12084-1 Přejít k původnímu zdroji...
    55. Nadeem, A. M., Ali, T., Khan, M. T., & Guo, Z. (2020). Relationship between inward FDI and environmental degradation for Pakistan: an exploration of pollution haven hypothesis through ARDL approach. Environmental Science and Pollution Research, 27, 15407-15425. https://doi.org/10.1007/s11356-020-08083-x Přejít k původnímu zdroji...
    56. Olsen, M. A., Tian, F., Wallace, A. E., Nickel, K. B., Warren, D. K., Fraser, V. J., ... & Hamilton, B. H. (2017). Use of quantile regression to determine the impact on total health care costs of surgical site infections following common ambulatory procedures. Annals of surgery, 265(2), 331-339. https://doi.org/10.1097/SLA.0000000000001590 Přejít k původnímu zdroji...
    57. Onwe, J. C., Bandyopadhyay, A., Hamid, I., Rej, S., & Hossain, M. E. (2023). Environment sustainability through energy transition and globalization in G7 countries: What role does environmental tax play?. Renewable Energy, 218, 119302. Přejít k původnímu zdroji...
    58. Özkan, O., Eweade, B. S., & Adebayo, T. S. (2024). Examining the effects of energy efficiency R&D and renewable energy on environmental sustainability amidst political risk in France. Politická ekonomie, 72(2), 331-356. Přejít k původnímu zdroji...
    59. Pao, H. T., & Tsai, C. M. (2011). 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, 36(1), 685-693. https://doi.org/10.1016/j.energy.2010.09.041 Přejít k původnímu zdroji...
    60. Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and statistics, 61(S1), 653-670. https://doi.org/10.1111/1468-0084.0610s1653 Přejít k původnímu zdroji...
    61. Pedroni, P. (2004). Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric theory, 20(3), 597-625. https://doi.org/10.1017/S0266466604203073 Přejít k původnímu zdroji...
    62. Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. Cambridge Working Papers. Economics, 1240(1), 1. Přejít k původnímu zdroji...
    63. Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of econometrics, 142(1), 50-93. https://doi.org/10.1016/j.jeconom.2007.05.010 Přejít k původnímu zdroji...
    64. Purcel, A. A. (2019). Does political stability hinder pollution? Evidence from developing states. Economic Research Guardian, 9(2), 75-98.
    65. Rafindadi, A. A., Muye, I. M., & Kaita, R. A. (2018). The effects of FDI and energy consumption on environmental pollution in predominantly resource-based economies of the GCC. Sustainable Energy Technologies and Assessments, 25, 126-137. https://doi.org/10.1016/j.seta.2017.12.008 Přejít k původnímu zdroji...
    66. Ren, S., Yuan, B., Ma, X., & Chen, X. (2014). International trade, FDI (foreign direct investment) and embodied CO2 emissions: A case study of Chinas industrial sectors. China economic review, 28, 123-134. https://doi.org/10.1016/j.chieco.2014.01.003 Přejít k původnímu zdroji...
    67. Rizk, R., & Slimane, M. B. (2018). Modelling the relationship between poverty, environment, and institutions: a panel data study. Environmental Science and Pollution Research, 25(31), 31459-31473. Přejít k původnímu zdroji...
    68. Salman, M., Long, X., Dauda, L., Mensah, C. N., & Muhammad, S. (2019). Different impacts of export and import on carbon emissions across 7 ASEAN countries: a panel quantile regression approach. Science of the total environment, 686, 1019-1029. https://doi.org/10.1016/j.scitotenv.2019.06.019 Přejít k původnímu zdroji...
    69. Saqib, N., Usman, M., Mahmood, H., Abbas, S., Ahmad, F., Mihai, D., & Saadaoui Mallek, R. (2023). The moderating role of technological innovation and renewable energy on CO2 emission in OECD countries: evidence from panel quantile regression approach. Economic research-Ekonomska istraživanja, 36(3). Přejít k původnímu zdroji...
    70. Shahbaz, M., Hye, Q. M. A., Tiwari, A. K., & Leitão, N. C. (2013). Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia. Renewable and sustainable energy reviews, 25, 109-121. https://doi.org/10.1016/j.rser.2013.04.009 Přejít k původnímu zdroji...
    71. Shahzad, S. J. H., Shahbaz, M., Ferrer, R., & Kumar, R. R. (2017). Tourism-led growth hypothesis in the top ten tourist destinations: New evidence using the quantile-on-quantile approach. Tourism Management, 60, 223-232. https://doi.org/10.1016/j.tourman.2016.12.006 Přejít k původnímu zdroji...
    72. Shi, A. (2001, August). Population growth and global carbon dioxide emissions. In IUSSP Conference in Brazil/session-s09 (pp. 1-36).
    73. Sohail, M. T., Majeed, M. T., Shaikh, P. A., & Andlib, Z. (2022). Environmental costs of political instability in Pakistan: policy options for clean energy consumption and environment. Environmental Science and Pollution Research, 1-10. Přejít k původnímu zdroji...
    74. Su, S. (2015). Flexible parametric quantile regression model. Statistics and Computing, 25, 635-650. https://doi.org/10.1007/s11222-014-9457-1 Přejít k původnímu zdroji...
    75. Su, Z. W., Umar, M., Kirikkaleli, D., & Adebayo, T. S. (2021). Role of political risk to achieve carbon neutrality: evidence from Brazil. Journal of Environmental Management, 298, 113463. Přejít k původnímu zdroji...
    76. Syed, Q. R., Bhowmik, R., Adedoyin, F. F., Alola, A. A., & Khalid, N. (2022). Do economic policy uncertainty and geopolitical risk surge CO2 emissions? New insights from panel quantile regression approach. Environmental Science and Pollution Research, 29(19), 27845-27861. https://doi.org/10.1007/s11356-021-17707-9 Přejít k původnímu zdroji...
    77. Westerlund, J. (2008). Panel cointegration tests of the Fisher effect. Journal of applied econometrics, 23(2), 193-233.https://doi.org/10.1002/jae.967 Přejít k původnímu zdroji...
    78. Yan, Y., Zhou, J., Zhou, S., Rao, D., Zhou, J., & Fareed, Z. (2022). Investigating the role of education, foreign investment, and economic development for sustainable environment in BRI countries: Application of method of movements quantile regression. Frontiers in Environmental Science, 10, 874275. https://doi.org/10.3389/fenvs.2022.874275 Přejít k původnímu zdroji...
    79. Zeuss, D., Brunzel, S., & Brandl, R. (2017). Environmental drivers of voltinism and body size in insect assemblages across Europe. Global Ecology and Biogeography, 26(2), 154-165. https://doi.org/10.1111/geb.12525 Přejít k původnímu zdroji...
    80. Zhang, G., Zhang, N., & Liao, W. (2018). How do population and land urbanization affect CO2 emissions under gravity center change? A spatial econometric analysis. Journal of Cleaner Production, 202, 510-523.https://doi.org/10.1016/j.jclepro.2018.08.146 Přejít k původnímu zdroji...
    81. Zhang, J. (2008). Foreign direct investment, governance, and the environment in China: regional dimensions (Doctoral dissertation, University of Birmingham).
    82. Zheng, D., & Shi, M. (2017). Multiple environmental policies and pollution haven hypothesis: evidence from China's polluting industries. Journal of Cleaner Production, 141, 295-304. https://doi.org/10.1016/j.jclepro.2016.09.091 Přejít k původnímu zdroji...
    83. Zheng, H., Hu, J., Wang, S., & Wang, H. (2019). Examining the influencing factors of CO2 emissions at city level via panel quantile regression: evidence from 102 Chinese cities. Applied economics, 51(35), 3906-3919. https://doi.org/10.1080/00036846.2019.1584659 Přejít k původnímu zdroji...
    84. Zhu, H., Duan, L., Guo, Y., & Yu, K. (2016). The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: evidence from panel quantile regression. Economic Modelling, 58, 237-248. https://doi.org/10.1016/j.econmod.2016.05.003 Přejít k původnímu zdroji...

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