The Environmental Kuznets Curve revisited: economic complexity and ecological footprint in the most complex economies of the world

1. Abbasi, K.R.; Lv, K.; Radulescu, M.; Shaikh, P.A. (2021), Economic complexity, tourism, energy prices, and environmental degradation in the top economic countries: fresh panel evidence, Environmental Science and Pollution Research (https://doi.org/10.1007/s11356-021-15312-4).10.1007/s11356-021-15312-4 Search in Google Scholar

2. Ahmed, Z.; Zafar, M.W.; Ali, S. (2020a), Linking urbanization, human capital,and the ecological footprint in G7 countries: an empirical analysis, Sustainable Cities and Society 55:10206410.1016/j.scs.2020.102064 Search in Google Scholar

3. Ahmed, Z.; Asghar, M.M.; Malik, M.N.; Nawaz, K. (2020b), Moving towards a sustainable environment: the dynamic linkage between natural resources, human capital, urbanization, economic growth, and ecological footprint in China, Resources Policy 67:101677.10.1016/j.resourpol.2020.101677 Search in Google Scholar

4. Al-Mulali, U.; Weng-Wai, C.; Sheau-Ting, L.; Mohammed, A.H. (2015), Investigating the environmental Kuznets curve (EKC) hypothesis by utilizing the ecological footprint as an indicator of environmental degradation, Ecological Indicators, 48: 315–323.10.1016/j.ecolind.2014.08.029 Search in Google Scholar

5. Al-Mulali, U.; Ozturk, I. (2016), The investigation of environmental Kuznets curve hypothesis in advanced economies: The role of energy prices, Renewable and Sustainable Energy Reviews, 54: 1622-1631 (http://dx.doi.org/10.1016/j.rser.2015.10.131).10.1016/j.rser.2015.10.131 Search in Google Scholar

6. Ansari, M.A.; Haider, S.; Khan, N.A. (2020), Environmental Kuznets Curve revisited: An analysis using ecological and material footprint, Ecological Indicators, 115: 106416 (https://doi.org/10.1016/j.ecolind.2020.106416).10.1016/j.ecolind.2020.106416 Search in Google Scholar

7. Apergis, N.; Payne, J.E. (2010), The emissions, energy consumption, and growth nexus: Evidence from the commonwealth of independent states, Energy Policy, 38 (1): 650–655 (doi:10.1016/j.enpol.2009.08.029).10.1016/j.enpol.2009.08.029 Search in Google Scholar

8. Baltagi, B. H. (2012), Econometric Analysis of Panel Data (4th ed.). Wiley. Search in Google Scholar

9. Baltagi, B. H. & Pesaran, M. H. (2007), Heterogeneity and Cross Section Dependence in Panel Data Models: Theory and Applications: Introduction, Journal of Applied Econometrics, 22(2): 229–232 (https://doi.org/10.1002/jae.955).10.1002/jae.955 Search in Google Scholar

10. Bello, M.O.; Solarin, S.A.; Yen, Y.Y. (2018), The impact of electricity consumption on CO2 emission, carbon footprint, water footprint and ecological footprint: the role of hydropower in an emerging economy, Journal of Environmental Management, 219: 218–230 (https://doi.org/10.1016/j.jenvman.2018.04.101).10.1016/j.jenvman.2018.04.101 Search in Google Scholar

11. Bilgili, F.; Koçak, M.; Bulut, Ü. (2016), The dynamic impact of renewable energy consumption on CO2 emissions. A revisited Environmental Kuznets approach, Renewable and Sustainable Energy Reviews, 54: 838-845. (http://dx.doi.org/10.1016/j.rser.2015.10.080).10.1016/j.rser.2015.10.080 Search in Google Scholar

12. Bilgili, F.; Koçak, E.; Bulut, Ü.; Kuloğlu, A. (2017), The impact of urbanization on energy intensity: panel data evidence considering cross-sectional dependence and heterogeneity, Energy, 133: 242–256. (https://doi.org/10.1016/J.ENERGY.2017.05.121).10.1016/j.energy.2017.05.121 Search in Google Scholar

13. Boleti E.; Garas A.; Kyriakou A.; Lapatinas A., (2021), Economic complexity and environmental performance: evidence from a world sample, Environmental Modelling and Assessment, 0123456789:251–270 (https://doi.org/10.1007/s10666-021-09750-0).10.1007/s10666-021-09750-0 Search in Google Scholar

14. Breusch, T.; and Pagan, A. (1980), The Lagrange Multiplier Test and its Application to Model Specification in Econometrics, The Review of Economic Studies, 47: 239–253. (http://dx.doi:10.2307/2297111).10.2307/2297111 Search in Google Scholar

15. Britto, G.; Romero, J.; Freitas, E. E.; Coelho, C. (2017), The Great Divide: Economic Complexity and Development Paths in Brazil and South Korea, CEPAL Review, 127: 191-213 (https://doi.org/10.5151/engpro-1enei-078).10.18356/d06fff2f-en Search in Google Scholar

16. Can, M.; Jebli, B.; Mehdi and Brusselaers, J. (2021), Exploring the impact of trading green products on the environment: introducing the Green Openness Index, MPRA Paper No.106730, (https://mpra.ub.uni-muenchen.de/106730/).10.2139/ssrn.3804046 Search in Google Scholar

17. Can, M. and Gozgor, G. (2017), The impact of economic complexity on carbon emissions: evidence from France, Environmental Science and Pollution Research, 24(19):16364–16370 (https://doi.org/10.1007/s11356-017-9219-7).10.1007/s11356-017-9219-7 Search in Google Scholar

18. Chavez, J.C.; Mosqueda, M.T.; Gomez-Zaldivar, M. (2017), Economic complexity and regional growth performance: evidence from the Mexican economy, The Review of Regional Studies, 47: 201-219 (http://journal.srsa.org/ojs/index.php/RRS/article/download/876/pdf).10.52324/001c.8023 Search in Google Scholar

19. Chu, L. K. (2021), Economic structure and environmental Kuznets curve hypothesis: new evidence from economic complexity, Applied Economics Letters, 28(7):612–616. (https://doi.org/10.1080/13504851.2020.1767280)10.1080/13504851.2020.1767280 Search in Google Scholar

20. Chu, L.K.; Le, N.T.M. (2021), Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, and energy intensity: the case of G7 countries, Environmental Science and Pollution Research (https://doi.org/10.1007/s11356-021-15666-9).10.21203/rs.3.rs-449086/v1 Search in Google Scholar

21. Cole, M.A.; Rayner, A.J.; Bates, J.M. (1997), The environmental Kuznets curve: an empirical analysis, Environment and Development Economics, 2: 401–416. (http://dx.doi.org/10.1017/S1355770X97000211).10.1017/S1355770X97000211 Search in Google Scholar

22. Danish; Ulucak, R.; Khan, S.U.D. (2020), Determinants of the ecological footprint: role of renewable energy, natural resources, and urbanization, Sustainable Cities and Society, 54:101996. (https://doi.org/10.1016/j.scs.2019.101996).10.1016/j.scs.2019.101996 Search in Google Scholar

23. Demiral, M. (2016), Knowledge, Complexity and Economic Growth: Multi-country Evidence by Development Stages, Journal of Knowledge Management, Economics and Information Technology, VI(1): 1–27 (https://tinyurl.com/75udr66u). Search in Google Scholar

24. Dogan, B.; Saboori, B., Can, M. (2019), Does economic complexity matter or environmental degradation? An empirical analysis for different stages of development, Environmental Science and Pollution Research, 26(31):31900–31912. (https://doi.org/10.1007/s11356-019-06333-1).10.1007/s11356-019-06333-1 Search in Google Scholar

25. Dogan, E.; Ulucak, R.; Kocak, E.; Isik, C. (2020 a), The use of ecological footprint in estimating the Environmental Kuznets Curve hypothesis for BRICST by considering cross-section dependence and heterogeneity, Science of the Total Environment, 723: 138063 (https://doi.org/10.1016/j.scitotenv.2020.138063).10.1016/j.scitotenv.2020.138063 Search in Google Scholar

26. Dogan, B.; Madaleno M.; Tiwari, A.K; Hammoudeh S. (2020b), Impacts of export quality on environmental degradation: does income matter?, Environmental Science and Pollution Research, 27(12):13735–13772 (https://doi.org/10.1007/s11356-019-07371-5).10.1007/s11356-019-07371-5 Search in Google Scholar

27. Domini, G. (2019), Patterns of Specialisation and Economic Complexity Through the Lens of Universal Exhibitions,1855–1900, LEM Working Papers Series 2019/20 (Laboratory of Economics and Management (LEM), 2019) (http://hdl.handle.net/10419/203110). Search in Google Scholar

28. Dreher, A. (2006), Does Globalization Affect Growth? Evidence from a New Index of Globalization, Applied Economics 38, 10: 1091-1110.10.1080/00036840500392078 Search in Google Scholar

29. Felipe, J.; Kumar, U.; Abdon, A.; Bacate, M. (2012), Product complexity and economic development, Structural Change and Economic Dynamics, 23(1): 36–68. (https://doi.org/10.1016/j.strueco.2011.08.003).10.1016/j.strueco.2011.08.003 Search in Google Scholar

30. Figge, L.; Oebels, K.; Offermans, A. (2017), The effects of globalization on ecological footprints: an empirical analysis, Environment, Development and Sustainability, 19: 863–876 (https://doi.org/10.1007/s10668-016-9769-8).10.1007/s10668-016-9769-8 Search in Google Scholar

31. Fortunato, P.; Razo, C.; Vrolijk, K. (2015), Operationalizing the product space: A road map to export diversification. United Nations Conference on Trade and Development, No. 219 (https://econpapers.repec.org/RePEc:unc:dispap:219). Search in Google Scholar

32. Gala, P., Rocha, I., & Magacho, G. (2018), The structuralist revenge: economic complexity as an important dimension to evaluate growth and development, Brazilian Journal of Political Economy, 38(2): 219–236 (https://doi.org/10.1590/0101-31572018v38n02a01).10.1590/0101-31572018v38n02a01 Search in Google Scholar

33. Gormus, S.; Aydin, M. (2020), Revisiting the environmental Kuznets curve hypothesis using innovation: new evidence from the top 10 innovative economies, Environmental Science and Pollution Research, 27:27904–27913 (https://doi.org/10.1007/s11356-020-09110-7).10.1007/s11356-020-09110-7 Search in Google Scholar

34. Global Footprint Network. Available online: http://data.footprintnetwork.org (accessed on 4 July 2020). Search in Google Scholar

35. Grossman, G.M., Krueger, A.B. (1995), Economic growth and the environment, Quarterly Journal of Economics, 110(2): 353-377. (https://academic.oup.com/qje/article-bstract/110/2/353/1826336).10.2307/2118443 Search in Google Scholar

36. Hartmann, D. (2014), Economic complexity and human development: How economic diversification and social networks affect human agency and welfare (1st ed.). Routledge. (https://doi.org/10.4324/9780203722084). Search in Google Scholar

37. Hartmann, D.; Guevara, M. R.; Jara-Figueroa, C.; Aristarán, M.; Hidalgo, C. A. (2017) Linking Economic Complexity, Institutions, and Income Inequality, World Development, 93:75–93 (https://doi.org/10.1016/j.worlddev.2016.12.020).10.1016/j.worlddev.2016.12.020 Search in Google Scholar

38. Hausmann, R.; Hwang, J.; and Rodrik, D. (2007), What you export matters, Journal of Economic Growth, 12:1–25(https://doi.org/10.1007/s10887-006-9009-4).10.1007/s10887-006-9009-4 Search in Google Scholar

39. Hausmann, R.; Hidalgo, C.A; Bustos. S.; Coscia. M.; Chung. S.; Jimenez, J.; Simoes, A.; Yildirim, M. (2011), The atlas of economic complexity. Cambridge, MA: Puritan Press, 2011. Available online: https://atlas.media.mit.edu/publications/ (Accessed 1 July 2021). Search in Google Scholar

40. Hausmann, R.; Hidalgo, C. A.; Bustos, S.; Coscia, M.; Simoes, A. & Yildirim, M. A. (2014), The atlas of economic complexity: Mapping paths to prosperity. MIT Press, 2014. Available online: https://s3.amazonaws.com/academia.edu.documents/30678659/HarvardMIT_AtlasOfEconomicComplexity_Part_I.pdf? (Accessed 3 July 2021).10.7551/mitpress/9647.001.0001 Search in Google Scholar

41. Hausmann, R.; Hidalgo, C. A.; Stock, D. P.; Yildirim, M. A. (2020), Implied Comparative Advantage. Available online: (https://www.hks.harvard.edu/centers/cid/publications/faculty-working-papers/implied-comparative-advantage) Accessed 2 July 2021. Search in Google Scholar

42. Hidalgo, C. A. & Hausmann, R. (2009), The building blocks of economic complexity, Proceedings of the National Academy of Sciences of the United States of America 106(26): 10570–10575 (https://doi.org/10.1073/pnas.0900943106).10.1073/pnas.0900943106 Search in Google Scholar

43. Hidalgo, C. (2021), Economic complexity theory and applications, Nature Reviews Physics, 3: 92-113 (https://doi.org/10.1038/s42254-020-00275-1).10.1038/s42254-020-00275-1 Search in Google Scholar

44. Ibragimov, R. & Phillips, P.C.B. (2008), Regression Asymptotics Using Martingale Convergence Methods, Econometric Theory, 24: 888–947 (https://doi.org/10.1017/s0266466608080365).10.1017/S0266466608080365 Search in Google Scholar

45. Ikram, M.; Xia, W.; Fareed, Z.; Shahzad, U.; Rafique, M.Z. (2021), Exploring the nexus between economic complexity, economic growth and ecological footprint, Contextual evidence from Japan, Sustainable Energy Technologies and Assessments, 47:191460 (https://doi.org/10.1016/j.seta.2021.101460).10.1016/j.seta.2021.101460 Search in Google Scholar

46. Kuznets, S. (1955), Economic growth and income inequality, American Economic Review, 45(1): 1–28 (https://www.jstor.org/stable/1811581). Search in Google Scholar

47. Lapatinas, A.; Garas, A.; Boleti, E.; Kiriakou A. (2019), Economic complexity and environmental performance: Evidence from a world sample, MPRA Paper No. 92833 (https://mpra.ub.uni-muenchen.de/92833). Search in Google Scholar

48. Laverde-Rojas, H.; Guevara-Fletcher, D.; Camacho-Murillo, A. (2021), Economic growth, economic complexity, and carbon dioxide emissions the case of Columbia, Heliyon, 7: e07188 (https://doi.org/10.1016/j.heliyon.2021.e07188).10.1016/j.heliyon.2021.e07188 Search in Google Scholar

49. Lin, D.; Hanscom, L.; Martindill, J.; Borucke, M.; Cohen, L.; Galli, A.; Lazarus, E.; Zokai, G.; Iha, K.; Eaton, D.; et al. (2019), Working Guidebook to the National Footprint and Biocapacity Accounts; Global Footprint Network: Oakland, CA, USA, 2019, Available online: http://www.footprintnetwork.org/ (accessed on 5 July 2021). Search in Google Scholar

50. Lo, A. W. and MacKinlay, A.C. (1988), Stock Market Prices Do Not Follow Random Walks: Evidence From a Simple Specification Test, Review of Financial Studies, 1: 41–66 (https://doi.org/10.1093/rfs/1.1.41).10.1093/rfs/1.1.41 Search in Google Scholar

51. Lo, A. W. and Mackinlay, A. C. (1989), The size and power of the variance ratio test in finite samples - a Monte-Carlo investigation, Journal of Econometrics, 40: 203-238 (https://doi.org/10.1016/0304-4076(89)90083-3).10.1016/0304-4076(89)90083-3 Search in Google Scholar

52. Müller-Fürstenberger, G.; Wagner, M. (2007), Exploring the environmental Kuznets hypothesis: theoretical and econometric problems, Ecological Economics, 62 (3):648-660 (doi:10.1016/j.ecolecon.2006.08.005).10.1016/j.ecolecon.2006.08.005 Search in Google Scholar

53. Nathaniel, S.P. (2021), Economic complexity versus ecological footprint in the era of globalization: evidence from ASEAN countries, Environmental Science and Pollution Research, (https://doi.org/10.1007/s11356-021-15360-w).10.1007/s11356-021-15360-w Search in Google Scholar

54. Orubu, C.O.; Omotor, D. G. (2011), Environmental quality and economic growth: searching for Environmental Kuznets Curves for air and water pollutants in Africa, Energy Policy 39(7), 4178–4188. [doi:10.1016/j.enpol.2011.04.025].10.1016/j.enpol.2011.04.025 Search in Google Scholar

55. Ozturk, I.; Al-Mulali, U.; Saboori, B. (2016), Investigating the environmental Kuznets curve hypothesis: the role of tourism and ecological footprint, Environmental SciencePollution Research, 23:1916–1928 (https://doi.org/10.1007/s11356-015-5447-x).10.1007/s11356-015-5447-x Search in Google Scholar

56. Ourens, G. (2012), Can the Method of Reflections Help Predict Future Growth? Documento de Trabajo/FCS-DE; 17/12 (Universidad de la Republica, 2012). (https://hdl.handle.net/20.500.12008/2241). Search in Google Scholar

57. Pao, H.T.; Tsai, C.M. (2010), CO2 emissions, energy consumption and economic growth in BRIC countries, Energy Policy, 38(12): 7850–7860 (doi:10.1016/j.enpol.2010.08.045).10.1016/j.enpol.2010.08.045 Search in Google Scholar

58. Pedroni, P. (1999), Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors, Oxford Bulletin of Economics and Statistics, 61: 653–670 (doi:10.1111/1468-0084.0610s1653).10.1111/1468-0084.61.s1.14 Search in Google Scholar

59. Pedroni, P. (2001a), Fully Modified OLS for Heterogeneous Cointegrated Panels. In Advances in Econometrics; Nonstationary Panels, Panel Cointegration and Dynamic Panels; In Badi, H., Thomas, B.B, Fomby, R., Hill, C., Eds.; Emerald Group Publishing Limited: Bingley, UK, Volume 15, 93–130. Available online: https://www.emeraldinsight.com/doi/abs/10.1016/S0731-9053(00)15004-2 (accessed on 12 July 2021).10.1016/S0731-9053(00)15004-2 Search in Google Scholar

60. Pedroni, P. (2001b), Purchasing Power Parity Tests in Cointegrated Panels, The Review of Economics and Statistics, 83:727–731 (doi:10.1162/003465301753237803).10.1162/003465301753237803 Search in Google Scholar

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: 597–625 (doi:10.1017/s0266466604203073).10.1017/S0266466604203073 Search in Google Scholar

62. Pesaran, M. H. (2004), General Diagnostic Tests for Cross Section Dependence in Panels, University of Cambridge, Faculty of Economics, Cambridge Working Papers in Economics No. 0435, 2004. Available online: https://www.repository.cam.ac.uk/handle/1810/446 (accessed 2 July 2021). Search in Google Scholar

63. Pesaran, M.H. (2007), A simple panel unit root test in the presence of cross-section dependence, Journal of Applied Economics, 22: 265–312 (doi:10.1002/jae.951).10.1002/jae.951 Search in Google Scholar

64. Poncet, S.; de Waldemar, F.S. (2013), Economic complexity and growth. Evidence from China, Revue Economique, Vol.64, Issue 2013: 495-503 (https://doi.org/10.3917/reco.643.0495).10.3917/reco.643.0495 Search in Google Scholar

65. Rafique, M.Z.; Nadeem, A.M Xia, W.; Ikram, M., Shoaib, M.; Shazhzad, U. (2021), Does economic complexity matter for environmental sustainability? Using ecological footprint as an indicator, Environment, Development and Sustainability, (https://doi.org/10.1007/s10668-021-01625-4).10.1007/s10668-021-01625-4 Search in Google Scholar

66. Romero, J. P., & Gramkow, C. (2021), Economic Complexity and Greenhouse Gas Emission Intensity, World Development, Vol.139: 105317 (https://doi.org/10.1016/j.worlddev.2020.105317).10.1016/j.worlddev.2020.105317 Search in Google Scholar

67. Rudolph, A.; Figge L. (2017), Determinants of ecological footprints: what is the role of globalization? Ecological Indicators, 81:348–361 (https://doi.org/10.1016/j.ecolind.2017.04.060).10.1016/j.ecolind.2017.04.060 Search in Google Scholar

68. Sabir, S.; Gorus, M.S. (2019), The impact of globalization on ecological footprint: empirical evidence from the South Asian countries, Environmental Science and Pollution Research International, 26(32):33387-33398 (https://doi.org/10.1007/s11356-019-06458-3).10.1007/s11356-019-06458-3 Search in Google Scholar

69. Saboori, B.; Sulaiman, J.; Mohd, S. (2012), Economic growth and CO emissions in Malaysia: a cointegration analysis of the Environmental Kuznets Curve, Energy Policy, 51:184–191 (http://dx.doi.org/10.1016/j.enpol.2012.08.065).10.1016/j.enpol.2012.08.065 Search in Google Scholar

70. Savina, G.; Haelg, F.; Potrafke, N.; Sturm, J.-E. (2019), The KOF Globalisation Index - Revisited, Review of International Organizations, 14(3): 543-574 (https://doi.org/10.1007/s11558-019-09344-2).10.1007/s11558-019-09344-2 Search in Google Scholar

71. Shahbaz, M.; Lean, H.H.; Shabbir, M. S. (2012), Environmental Kuznets curve hypothesis in Pakistan: cointegration and Granger causality, Renewable and Sustainable Energy Reviews, 16 (5):2947–2953 (doi:10.1016/j.rser.2012.02.015).10.1016/j.rser.2012.02.015 Search in Google Scholar

72. Shahzad, U.; Fareed, Z.; Shahzad, F: Shahzad, K. (2021), Investigating the nexus between economic complexity, energy consumption and ecological footprint for the United States: New insights from quantile methods, Journal of Cleaner Production, 279:123806 (https://doi.org/10.1016/j.jclepro.2020.123806).10.1016/j.jclepro.2020.123806 Search in Google Scholar

73. Stojkoski, V.; Utkovski, Z. & Kocarev, L. (2016), The impact of services on economic complexity: service sophistication as a route for economic growth, PLoS ONE, 11: e0161633 (https://doi.org/10.1371/journal.pone.0161633).10.1371/journal.pone.0161633 Search in Google Scholar

74. Tacchella, A., Mazzilli, D. & Pietronero, L. (2018), A dynamical systems approach to gross domestic product forecasting, Nature Physics, 14: 861–865 (https://doi.org/10.1038/s41567-018-0204-y).10.1038/s41567-018-0204-y Search in Google Scholar

75. Wackernagel, M.; Rees, W. (1996), Our ecological footprint: reducing human impact on the earth, New Society Publishers, The New Catalyst Bioregional Series. Search in Google Scholar

76. Wagner, M., (2015), The environmental Kuznets curve, cointegration and nonlinearity, Journal of Applied Economics, 30 (6): 948-967 (DOI: 10.1002/jae.2421).10.1002/jae.2421 Search in Google Scholar

77. Wagner, M.; Hong, S.H. (2016), Cointegrating polynomial regressions: fully modified OLS estimation and inference, Econometric Theory, 32: 1289-1315 (doi:10.1017/S0266466615000213).10.1017/S0266466615000213 Search in Google Scholar

78. Wang, S.S.; Zhou, D.Q.; Zhou, P.; Wang, Q.W. (2011), CO2 emissions, energy consumption and economic growth in China: a panel data analysis, Energy Policy, 39(9), 4870–4875. [doi:10.1016/j.enpol.2011.06.032].10.1016/j.enpol.2011.06.032 Search in Google Scholar

79. Wang, Z.; Ben, Jebli; M., Madaleno, M.; Doğan, B.; Shahzad, U. (2021), Does export product quality and renewable energy induce carbon dioxide emissions: evidence from leading complex and renewable energy economies, Renewable Energy, 171:360–370. (https://doi.org/10.1016/j.renene.2021.02.066).10.1016/j.renene.2021.02.066 Search in Google Scholar

80. Westerlund, J. (2005), New simple tests for panel cointegration, Econometric Reviews, 24: 297–316 (doi:10.1080/07474930500243019).10.1080/07474930500243019 Search in Google Scholar

81. Zhu, S. & Li, R. (2017), Economic complexity, human capital and economic growth: empirical research based on cross-country panel data, Applied Economics, 49: 3815–3828.10.1080/00036846.2016.1270413 Search in Google Scholar

82. Yalta, A. Y.; & Yalta, T. (2021), Determinants of Economic Complexity in MENA Countries. Journal of Emerging Economies and Policy, 6(1):5–16. (https://dergipark.org.tr/tr/pub/joeep/issue/60112/825017). Search in Google Scholar

83. Yilanci, V., & Pata, U. K. (2020), Investigating the EKC hypothesis for China: the role of economic complexity on ecological footprint, Environmental Science and Pollution Research, 27(26): 32683–32694 (https://doi.org/10.1007/s11356-020-09434-4).10.1007/s11356-020-09434-4 Search in Google Scholar

84. www.footprintnetwork.org. Search in Google Scholar

85. http://data.worldbank.org. Search in Google Scholar

86. https://kof.ethz.ch/en/forecasts-and-indicators/indicators/kof-globalisation-index.html. Search in Google Scholar