Abstract
The importance of environmental performance in today's world is not hidden from anyone. On the other hand, the remarkable growth of Information and Communication Technology (ICT) has affected various aspects of life, including the environment. The effect of economic complexity, fertility rate, and ICT on the ecological footprint of emerging countries using the STIRPAT model and quantile panel regression from 2000 to 2016 were examined. The quantiles of 10th, 25th, 50th, 75th, and 90th have been used to consider the explanatory variables' effects on the ecological footprint. The results show that economic complexity, for all quantile levels except the 10th quantile, has a negative and statistically significant effect on the ecological footprint. This effect is greater in 75th and 90th quantiles. The fertility rate has a positive and statistically significant impact on the ecological footprint in all quantiles. This effect is higher in the middle quantile. ICT in all quantiles has a statistically significant negative effect on the ecological footprint. ICT has a lower effect on ecological footprint, among other variables. The panel fixed effect model results show that ICT has no significant effect on the ecological footprint. In contrast, economic complexity and fertility rate have significant positive and negative effects on environmental footprint. Are proposed a set of policy measures to mitigate/reduce the ecological footprint.
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Data availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Ahmed, Z., Zafar, M.W., Ali, S.: Linking urbanization, human capital, and the ecological footprint in G7 countries: an empirical analysis. Sustain. Cities Soc. 55, 102064 (2020)
Alam, M.M., Murad, M.W., Noman, A.H.M., Ozturk, I.: Relationships among carbon emissions, economic growth, energy consumption and population growth: testing environmental Kuznets Curve hypothesis for Brazil, China, India and Indonesia. Ecol. Indicat. 70(466–479), 4 (2016). https://doi.org/10.1016/j.ecolind.2016.1006.1043
Al-Mulali, U., Ozturk, I.: 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), 3 (2015). https://doi.org/10.1016/j.energy.2015.1003.1004
Al-Mulali, U., Ozturk, I.: The investigation of environmental Kuznets curve hypothesis in the advanced economies: the role of energy prices. Renew. Sustain. Energy Rev. 54(1622–1631), 16 (2016). https://doi.org/10.1016/j.rser.2015.1610.1131
Alola, A.A., Bekun, F.V., Sarkodie, S.A.: Dynamic impact of trade policy, economic growth, fertility rate, renewable and non-renewable energy consumption on ecological footprint in Europe. Sci. Total Environ. 685(702–709), 7 (2019). https://doi.org/10.1016/j.scitotenv.2019.1005.1139
Alvarado, R., Toledo, E.: Environmental degradation and economic growth: evidence for a developing country. Environ. Dev. Sustain. 19(4), 1205–1218 (2017)
Amri, F., Zaied, Y.B., Lahouel, B.B.: ICT, total factor productivity, and carbon dioxide emissions in Tunisia. Technol. Forecast. Soc. Change 146, 212–217 (2019)
Asongu, S.A.: ICT, openness and CO2 emissions in Africa. Environ. Sci. Pollut. Res. 25(10), 9351–9359 (2018)
Asongu, S.A., Le Roux, S., Biekpe, N.: Environmental degradation, ICT and inclusive development in Sub-Saharan Africa. Energy Policy 111, 353–361 (2017)
Avom, D., Nkengfack, H., Fotio, H.K., Totouom, A.: ICT and environmental quality in Sub-Saharan Africa: effects and transmission channels. Technol. Forecast. Soc. Change 155, 120028 (2020)
Azam, M., Khan, A.Q.: Urbanization and environmental degradation: evidence from four SAARC countries—Bangladesh, India, Pakistan, and Sri Lanka. Environ. Prog. Sustain. Energy 35(3), 823–832 (2016)
Azam, M., Raza, S. A.: Do workers' remittances boost human capital development? The Pakistan Development Review, 123–149 (2016). https://www.jstor.org/stable/44986034.
Balducci, F., Impedovo, D., Pirlo, G.: Machine learning applications on agricultural datasets for smart farm enhancement. Machines 6(3), 38 (2018). https://doi.org/10.3390/machines6030038
Barratt, R.S.: Meeting lifelong learning needs by distance teaching–Clean technology. J. Clean. Produ. 14(9–11), 906–915 (2006)
Belsley, D.A., Kuh, E., Welsch, R.E.: Regression diagnostics: identifying influential data and sources of collinearity. Wiley, Hoboken (2005)
Bieser, J.C., Hilty, L.M.: Assessing indirect environmental effects of information and communication technology (ICT): a systematic literature review. Sustainability 10(8), 2662 (2018)
Casey, G., Galor, O.: Population growth and carbon emissions. Retrieved from, (2016)
Chai, X., Tonjes, D.J., Mahajan, D.: Methane emissions as energy reservoir: context, scope, causes and mitigation strategies. Prog. Energy Combust. Sci. 56, 33–70 (2016). https://doi.org/10.1016/j.pecs.2016.1005.1001
Charfeddine, L., Mrabet, Z.: The impact of economic development and social-political factors on ecological footprint: a panel data analysis for 15 MENA countries. Renew. Sustain. Energy Rev. 76, 138–154 (2017)
Chen, S., Saud, S., Saleem, N., Bari, M. W.: Nexus between financial development, energy consumption, income level, and ecological footprint in CEE countries: do human capital and biocapacity matter?. Environ. Sci. Pollut. Rese. 26(31), 31856–31872 (2019). https://doi.org/10.1007/s11356-019-06343-z
Chiabai, A., Rübbelke, D. T., Maurer, L.: ICT applications in the research for environmental sustainability. Basque centre for climate change working paper (2010–18. https://doi.org/10.2139/ssrn.1705310) (2010)
Cho, Y., Lee, J., Kim, T.-Y.: The impact of ICT investment and energy price on industrial electricity demand: dynamic growth model approach. Energy Policy 35(9), 4730–4738 (2007)
Copeland, B.R., Taylor, M.S.: Trade and the environment. Princeton, Princeton University Press (2013)
Danish, K., Baloch, M.A.: Dynamic linkages between road transport energy consumption, economic growth, and environmental quality: evidence from Pakistan. Environ. Sci. Pollut. Res. 25(8), 7541–7552 (2018)
Danish: Effects of information and communication technology and real income on CO2 emissions: the experience of countries along Belt and Road. Telemat. Inform. 45 (2019). https://doi.org/10.1016/j.tele.2019.101300
de Souza Mendonça, A.K., Barni, G.D.A.C., Moro, M.F., Bornia, A.C., Kupek, E., Fernandes, L.: Hierarchical modeling of the 50 largest economies to verify the impact of GDP, population and renewable energy generation in CO2 emissions. Sustain. Prod. Consumpt. 22, 58–67 (2020). https://doi.org/10.1016/j.spc.2020.1002.1001
Destek, M. A., Sarkodie, S. A.: Investigation of environmental Kuznets curve for ecological footprint: the role of energy and financial development. Sci. Total Environ. 650, 2483–2489 (2019). https://doi.org/10.1016/j.scitotenv.2018.10.017
Destek, M.A., Ulucak, R., Dogan, E.: Analyzing the environmental Kuznets curve for the EU countries: the role of ecological footprint. Environ. Sci. Pollut. Res. 25(29), 29387–29396 (2018)
Díaz-Roldán, C., Ramos-Herrera, M.D.C.: Innovations and ICT: Do they favour economic growth and environmental quality? Energies 14(5), 1431 (2021)
Dismukes, G.C., Klimov, V., Baranov, S., Kozlov, Y.N., DasGupta, J., Tyryshkin, A.: The origin of atmospheric oxygen on Earth: the innovation of oxygenic photosynthesis. Proc. Natl Acad. Sci. 98(5), 2170–2175 (2001)
Dogan, E., Seker, F.: The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries. Renew. Sustain. Energy Rev. 60, 1074–1085 (2016)
Dogan, E., Turkekul, B.: CO2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environ. Sci. Poll. Res. 23(2), 1203–1213 (2016). https://doi.org/10.1007/s11356-015-5323-8
Dogan, E., Taspinar, N., Gokmenoglu, K. K.: Determinants of ecological footprint in MINT countries. Energy Environ. 30(6), 1065–1086 (2019). https://doi.org/10.1177/0958305X19834279
Dogan, E., Ulucak, R., Kocak, E., Isik, C.: The use of ecological footprint in estimating the environmental Kuznets curve hypothesis for BRICST by considering cross-section dependence and heterogeneity. Sci. Total Environ. 723, 138063 (2020). https://doi.org/10.1016/j.scitotenv.2020.138063
Doğan, B., Driha, O. M., Balsalobre Lorente, D., Shahzad, U.: The mitigating effects of economic complexity and renewable energy on carbon emissions in developed countries. Sustain. Dev. 29(1), 1–12 (2021). https://doi.org/10.1002/sd.2125
Dong, K., Hochman, G., Zhang, Y., Sun, R., Li, H., Liao, H.: CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions. Energy Econ. 75, 180–192 (2018)
Galli, A., Lin, D., Wackernagel, M., Gressot, M., Winkler, S.: Humanity’s growing ecological footprint: sustainable development implications. Global Footprint Netw (2015)
Ge, X., Zhou, Z., Zhou, Y., Ye, X., Liu, S.: A spatial panel data analysis of economic growth, urbanization, and NOx emissions in China. Int. J. Environ. Res. Publ. Health 15(4), 725 (2018)
Gergel, D.R., Nijssen, B., Abatzoglou, J.T., Lettenmaier, D.P., Stumbaugh, M.R.: Effects of climate change on snowpack and fire potential in the western USA. Clim. Change 141(2), 287–299 (2017)
Global Footprint Network (GFN): (2020). URL: https://www.footprintnetwork.org/resources/data/
Gozgor, G., Can, M.: Does export product quality matter for CO2 emissions? Evidence from China. Environ. Sci. Pollut. Res. 24(3), 2866–2875 (2017). https://doi.org/10.1007/s11356-016-8070-6
Harris, W.E., Uller, T.: Reproductive investment when mate quality varies: differential allocation versus reproductive compensation. Philos. Trans. Royal Soc. B Biological Sciences 364(1520), 1039–1048 (2009)
Haseeb, A., Xia, E., Saud, S., Ahmad, A., Khurshid, H.: Does information and communication technologies improve environmental quality in the era of globalization? An empirical analysis. Environ. Sci. Poll. Res. 26(9), 8594-8608 (2019). https://doi.org/10.1007/s11356-11019-04296-x
Hausmann, R., Hidalgo, C. A., Bustos, S., Coscia, M., Simoes, A.: The atlas of economic complexity: Mapping paths to prosperity. Mit Press (2014)
Hilty, L.M., Ruddy, T.F.: Sustainable development and ICT interpreted in a natural science context: the resulting research questions for the social sciences. Inf. Commun. Soc. 13(1), 7–22 (2010). https://doi.org/10.1080/13691180903322805
Hoff, A.: The drivers of population ageing in Central and Eastern Europe: Fertility, mortality and migration. In A. Hoff (Ed.), Population ageing in Central and Eastern Europe. Societal and policy implications (pp. 1–10). Aldershot: Ashgate (2011)
Houghton, J. W.: ICT and the environment in developing countries: a review of opportunities and developments. What kind of information society? Governance, virtuality, surveillance, sustainability, resilience, 236–247 (2010)
Ishida, H.: The effect of ICT development on economic growth and energy consumption in Japan. Telemat. Inform. 32(1), 79–88 (2015). https://doi.org/10.1016/j.tele.2014.04.003
Jahanger, A.: Impact of globalization on CO2 emissions based on EKC hypothesis in developing world: the moderating role of human capital. Environ. Sci. Pollut. Res. (2021). https://doi.org/10.1007/s11356-11021-17062-11359
Jahanger, A., Usman, M., Ahmad, P.: A step towards sustainable path: the effect of globalization on China’s carbon productivity from panel threshold approach. Environ. Sci. Pollut. Res. (2021a). https://doi.org/10.1007/s11356-11021-16317-11359
Jahanger, A., Usman, M., Balsalobre-Lorente, D.: Autocracy, democracy, globalization, and environmental pollution in developing world: fresh evidence from STIRPAT model. J. Publ. Affairs (2021b). https://doi.org/10.1002/pa.2753
Kais, S., Sami, H.: An econometric study of the impact of economic growth and energy use on carbon emissions: panel data evidence from fifty eight countries. Renew. Sustain. Energy Rev. 59, 1101–1110 (2016)
Kao, C.: Spurious regression and residual-based tests for cointegration in panel data. J. Econ. 90(1), 1–44 (1999). https://doi.org/10.1016/S0304-4076(1098)00023-00022
Kazemzadeh, E., Fuinhas, J.A., Koengkan, M.: The impact of income inequality and economic complexity on ecological footprint: an analysis covering a long-time span. J. Environ. Econ. Policy (2021). https://doi.org/10.1080/21606544.21602021.21930188
Khan, I., Hou, F., Le, H.P.: The impact of natural resources, energy consumption, and population growth on environmental quality: fresh evidence from the United States of America. Sci. Total Environ. 754, 142222 (2021)
Khan, N., Baloch, M.A., Saud, S., Fatima, T.: The effect of ICT on CO 2 emissions in emerging economies: Does the level of income matters? Environ. Sci. Pollut. Res. 25(23), 22850–22860 (2018)
Khobai, H., Le Roux, P.: The relationship between energy consumption, economic growth and carbon dioxide emission: the case of South Africa. Int. J. Energy Econ. Policy 7(3), 102–109 (2017)
Koenker, R., Bassett, G., Jr.: Regression quantiles. Econ. J. Econ. Soc. (1978). https://doi.org/10.2307/1913643
Koenker, R., Xiao, Z.: Inference on the quantile regression process. Econometrica 70(4), 1583–1612 (2002)
Lapatinas, A., Litina, A., Sartzetakis, E. S.: Environmental projects in the presence of corruption. Intern. Tax Public Fin. 26(1), 103-144 (2019). https://doi.org/10.1007/s10797-018-9503-6
Lashkarizadeh, M., Salatin, P.: The effects of information and communications technology (ICT) on air pollution. Elixir Pollut. 46, 8058–8064 (2012)
Lu, W. -C.: The impacts of information and communication technology, energy consumption, financial development, and economic growth on carbon dioxide emissions in 12 Asian countries. Mitig. Adapt. Strat. Global Change 23(8), 1351–1365 (2018). https://doi.org/10.1007/s11027-11018-19787-y
Majeed, M.T.: Information and communication technology (ICT) and environmental sustainability in developed and developing countries. Pakistan J. Comm. Soc. Sci. 12(3), 758–783 (2018)
Majeed, M. T., Khan, F. N.: Do information and communication technologies (ICTs) contribute to health outcomes? An empirical analysis. Qual. quant. 53(1), 183-206 (2019). https://doi.org/110.1007/s11135-11018-10741-11136
Majeed, M. T., Ayub, T.: Information and communication technology (ICT) and economic growth nexus: A comparative global analysis. Pakistan J. Comm. Soc. Sci. (PJCSS) 12(2), 443–476 (2018). http://hdl.handle.net/10419/188352
Marasinghe, D.: Quantile regression for climate data. p.1–63 (2014). URL: https://tigerprints.clemson.edu/cgi/viewcontent.cgi?article=2909&context=all_theses
Mikati, I., Benson, A. F., Luben, T. J., Sacks, J. D., Richmond-Bryant, J.: Disparities in distribution of particulate matter emission sources by race and poverty status. American J. Pub. Health 108(4), 480–485 (2018). https://doi.org/10.2105/AJPH.2017.304297
Mondal, M., Sanaul, H.: The implications of population growth and climate change on sustainable development in Bangladesh. Jàmbá J. Disaster Risk Stud. 11(1), 1–10 (2019). https://doi.org/10.4102/jamba.v4111i4101.4535
Nathaniel, S., Khan, S.A.R.: The nexus between urbanization, renewable energy, trade, and ecological footprint in ASEAN countries. J. Clean. Prod. 272, 122709 (2020)
Neagu, O.: Economic complexity and ecological footprint: Evidence from the most complex economies in the world. Sustainability 12(21), 9031 (2020). https://doi.org/10.3390/su12219031
Nijkamp, P., Rossi, E., Vindigni, G.: Ecological footprints in plural: a meta-analytic comparison of empirical results. Reg. Stud. 38(7), 747–765 (2004). https://doi.org/10.1080/0034340042000265241
Observatory of Economic Complexity (OEC) (2020). URL: https://oec.world/en/rankings/legacy_eci
Ozcan, B., Apergis, N.: The impact of internet use on air pollution: evidence from emerging countries. Environ. Sci. Pollut. Res. 25(5), 4174–4189 (2018)
Ozturk, I., Al-Mulali, U., Saboori, B.: Investigating the environmental Kuznets curve hypothesis: the role of tourism and ecological footprint. Environ. Sci. Pollut. Res. 23(2), 1916–1928 (2016)
Paltasingh, K.R., Goyari, P.: Statistical modeling of crop-weather relationship in India: a survey on evolutionary trend of methodologies. Asian J. Agric. Dev. 15, 43–60 (2018)
Pedroni, P.: Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bull. Econ. Stat. 61(S1), 653–670 (1999)
Pesaran, M.H.: General diagnostic tests for cross-sectional dependence in panels. Emp. Econ. (2004). https://doi.org/10.1007/s00181-00020-01875-00187
Pesaran, M.H.: A simple panel unit root test in the presence of cross-section dependence. J. Appl. Econ. 22(2), 265–312 (2007)
Qiang, O., Tian-Tian, W., Ying, D., Zhu-Ping, L., Jahanger, A.: The impact of environmental regulations on export trade at provincial level in China: evidence from panel quantile regression. Environ. Sci. Pollut. Res. (2021). https://doi.org/10.1007/s11356-11021-17676-z
Pata, U. K.: How is COVID-19 affecting environmental pollution in US cities? Evidence from asymmetric Fourier causality test. Air Qualit. Atmos. Health 13(10), 1149-1155 (2020). https://doi.org/10.1007/s11869-020-00877-9
Rahman, M.S., Noman, A.H.M., Shahari, F.: Does economic growth in Malaysia depend on disaggregate energy? Renew. Sustain. Energy Rev. 78, 640–647 (2017)
Raza, S.A., Karim, M.: Do liquidity and financial leverage constrain the impact of firm size and dividend payouts on share price in emerging economy. J. Fin. and Econ. Res. 1(2), 73–88 (2016)
Royston, J.: A simple method for evaluating the Shapiro-Francia W′ test of non-normality. J. Royal Stat. Soc. Series D (The Statistician) 32(3), 297–300 (1983)
Royston, P.: Approximating the Shapiro-Wilk W-test for non-normality. Stat. Comput. 2(3), 117–119 (1992)
Sadorsky, P.: The effect of urbanization on CO2 emissions in emerging economies. Energy Econ. 41, 147–153 (2014). https://doi.org/10.1016/j.eneco.2013.11.007
Saidi, K., Mbarek, M.B.: Nuclear energy, renewable energy, CO2 emissions, and economic growth for nine developed countries: evidence from panel Granger causality tests. Prog. Nucl. Energy 88(364–374), 3 (2016). https://doi.org/10.1016/j.pnucene.2016.1001.1018
Salahuddin, M., Ali, M.I., Vink, N., Gow, J.: The effects of urbanization and globalization on CO 2 emissions: evidence from the Sub-Saharan Africa (SSA) countries. Environ. Sci. Pollut. Res. 26(3), 2699–2709 (2019)
Sarkodie, S.A.: The invisible hand and EKC hypothesis: What are the drivers of environmental degradation and pollution in Africa? Environ. Sci. Pollut. Res. 25(22), 21993–22022 (2018)
Shah, N.: Impact of Working capital management on firms profitability in different business cycles: evidence from Pakistan. J. Fin. Econ. Res. 1(1), 58–70 (2016)
Shahbaz, M., Mahalik, M.K., Shah, S.H., Sato, J.R.: Time-varying analysis of CO2 emissions, energy consumption, and economic growth nexus: statistical experience in next 11 countries. Energy Policy 98, 33–48 (2016). https://doi.org/10.1016/j.enpol.2016.1008.1011
Sharif, A., Baris-Tuzemen, O., Uzuner, G., Ozturk, I., Sinha, A.: Revisiting the role of renewable and non-renewable energy consumption on Turkey’s ecological footprint: Evidence from Quantile ARDL approach. Sustain. Cities Soc. 102138 (2020). https://doi.org/10.1016/j.scs.2020.102138
Sharma, S.S.: Determinants of carbon dioxide emissions: empirical evidence from 69 countries. Appl. Energy 88(1), 376–382 (2011)
Simeonovski, K., Kaftandzieva, T., Brock, G.: Energy efficiency management across EU countries: A DEA approach. Energ. 14(9), 2619 (2021). https://doi.org/10.3390/en14092619
Sobotka, T., Berghammer, C.: Demography of family change in Europe. In Research Handbook on the Sociology of the Family. Edward Elgar Publishing (2021). https://www.elgaronline.com/downloadpdf/edcoll/9781788975537/9781788975537.00019.pdf
Steers, R.J., Funk, J.L., Allen, E.B.: Can resource-use traits predict native vs. exotic plant success in carbon amended soils? Ecol. Appl. 21(4), 1211–1224 (2011)
Toth, G., Szigeti, C.: The historical ecological footprint: from over-population to over-consumption. Ecol. Indicat. 60, 283–291 (2016)
Usman, M., Jahanger, A.: Heterogeneous effects of remittances and institutional quality in reducing environmental deficit in the presence of EKC hypothesis: a global study with the application of panel quantile regression. Environ. Sci. Pollut. Res. (2021). https://doi.org/10.1007/s11356-11021-13216-x
Usman, M., Balsalobre-Lorente, D., Jahanger, A., Ahmad, P.: Pollution concern during globalization mode in financially resource-rich countries: Do financial development, natural resources, and renewable energy consumption matter? Renew. Energy 183, 90–102 (2022)
Usman, M., Jahanger, A., Makhdum, M. S. A., Balsalobre-Lorente, D., Bashir, A.: How do financial development, energy consumption, natural resources, and globalization affect Arctic countries' economic growth and environmental quality? An advanced panel data simulation. Energy (2021).
Wang, Y., Chen, Y., Benitez-Amado, J.: How information technology influences environmental performance: Empirical evidence from China. Intern. J. Inform. Manag. 35(2), 160–170 (2015). https://doi.org/10.1016/j.ijinfomgt.2014.11.005
Wang, S., Li, G., Fang, C.: Urbanization, economic growth, energy consumption, and CO2 emissions: empirical evidence from countries with different income levels. Renew. Sustain. Energy Rev. 81(2144–2159), 21 (2018a). https://doi.org/10.1016/j.rser.2017.2106.2025
Wang, S., Zeng, J., Huang, Y., Shi, C., Zhan, P.: The effects of urbanization on CO2 emissions in the Pearl River Delta: a comprehensive assessment and panel data analysis. Appl. Energy 228, 1693–1706 (2018b)
Williams, E.: Environmental effects of information and communications technologies. Nature 479(7373), 354–358 (2011)
World Bank Data (WBD). (2020). https://databank.worldbank.org/home
Xu, B., Lin, B.: What cause large regional differences in PM2. 5 pollutions in China? Evidence from quantile regression model. J. Clean. Prod. 174, 447–461 (2018)
Xu, R., Xu, L., Xu, B.: Assessing CO2 emissions in China’s iron and steel industry: evidence from quantile regression approach. J. Clean. Prod. 152, 259–270 (2017)
Yang, B., Jahanger, A., Ali, M.: Remittance inflows affect the ecological footprint in BICS countries: Do technological innovation and financial development matter? Environ. Sci. Pollut. Res. 28(18), 23482–23500 (2021a)
Yang, B., Jahanger, A., Khan, M.A.: Does the inflow of remittances and energy consumption increase CO 2 emissions in the era of globalization? A global perspective. Air Qual. Atmos. Health 13(11), 1313–1328 (2020)
Yang, B., Jahanger, A., Usman, M., Khan, M.A.: The dynamic linkage between globalization, financial development, energy utilization, and environmental sustainability in GCC countries. Environ. Sci. Pollut. Res. 28(13), 16568–16588 (2021b)
Yasin, I., Ahmad, N., Chaudhary, M.A.: The impact of financial development, political institutions, and urbanization on environmental degradation: evidence from 59 less-developed economies. Environ. Dev. Sustain. 23(5), 6698–6721 (2021)
Yilanci, V., Pata, U. K.: Investigating the EKC hypothesis for China: the role of economic complexity on ecological footprint. Environ. Sci. Poll. Res. 27(26), 32683–32694 (2020). https://doi.org/10.1007/s11356-020-09434-4
Zhang, C., Liu, C.: The impact of ICT industry on CO2 emissions: a regional analysis in China. Renew. Sustain. Energy Rev. 44, 12–19 (2015). https://doi.org/10.1016/j.rser.2014.1012.1011
Zhang, S., Liu, X., Bae, J.: Does trade openness affect CO2 emissions: evidence from ten newly industrialized countries?. Environ. Sci. Pollution Res. 24(21), 17616–17625 (2017). https://doi.org/10.1007/s11356-017-9392-8
Zhu, H., Duan, L., Guo, Y., Yu, K.: The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: evidence from panel quantile regression. Econ. Model. 58, 237–248 (2016)
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Kazemzadeh, E., Fuinhas, J.A., Salehnia, N. et al. The effect of economic complexity, fertility rate, and information and communication technology on ecological footprint in the emerging economies: a two-step stirpat model and panel quantile regression. Qual Quant 57, 737–763 (2023). https://doi.org/10.1007/s11135-022-01373-1
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DOI: https://doi.org/10.1007/s11135-022-01373-1