References
- Abidalreda N., & Jawad S. A. (2019). Using some of quality techniques in supply chain management to improve the production processes. International Journal of Supply Chain Management, 8(4), 772–787.
- Alcántara V., & Padilla E. (2009). Input–output subsystems and pollution: An application to the service sector and CO2 emissions in Spain. Ecological Economics, 68(3), 905–914. https://doi.org/https://doi.org/10.1016/j.ecolecon.2008.07.010
- Al Mamun M., Sohag K., Mia M. A. H., Uddin G. S., & Ozturk I. (2014). Regional differences in the dynamic linkage between CO2 emissions, sectoral output and economic growth. Renewable and Sustainable Energy Reviews, 38, 1–11. https://doi.org/https://doi.org/10.1016/j.rser.2014.05.091
- Al-Mulali U., Solarin S. A., & Ozturk I. (2016). Investigating the presence of the environmental Kuznets curve (EKC) hypothesis in Kenya: An autoregressive distributed lag (ARDL) approach. Natural Hazards, 80(3), 1729–1747. https://doi.org/https://doi.org/10.1007/s11069-015-2050-x
- Apergis N., & Ozturk I. (2015). Testing environmental Kuznets curve hypothesis in Asian countries. Ecological Indicators, 52, 16–22. https://doi.org/https://doi.org/10.1016/j.ecolind.2014.11.026
- Begum R. A., Sohag K., Syed Abdullah S. M., & Jaafar M. (2015). CO2 emissions, energy consumption, economic and population growth in Malaysia CO2 emissions, energy consumption, economic and population growth in Malaysia. Renewable and Sustainable Energy Reviews, 41, 594–601. https://doi.org/https://doi.org/10.1016/j.rser.2014.07.205
- Bilgili F., Koçak E., & Bulut Ü. (2016). The dynamic impact of renewable energy consumption on CO2 emissions: A revisited environmental Kuznets curve approach. Renewable and Sustainable Energy Reviews, 54, 838–845. https://doi.org/https://doi.org/10.1016/j.rser.2015.10.080
- Can M., & 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/https://doi.org/10.1007/s11356-017-9219-7
- Caviglia-Harris J. L., Chambers D., & Kahn J. R. (2009). Taking the “U” out of Kuznets: A comprehensive analysis of the EKC and environmental degradation. Ecological Economics, 68(4), 1149–1159. https://doi.org/https://doi.org/10.1016/j.ecolecon.2008.08.006
- Chang F. J., & Chang Y. T. (2006). Adaptive neuro-fuzzy inference system for prediction of water level in reservoir. Advances in Water Resources, 29(1), 1–10. https://doi.org/https://doi.org/10.1016/j.advwatres.2005.04.015
- Charfeddine L., & Khediri K. B. (2016). Financial development and environmental quality in UAE: Cointegration with structural breaks. Renewable and Sustainable Energy Reviews, 55, 1322–1335. https://doi.org/https://doi.org/10.1016/j.rser.2015.07.059
- Chen Q., & Taylor D. (2020). Economic development and pollution emissions in Singapore: Evidence in support of the environmental Kuznets curve hypothesis and its implications for regional sustainability. Journal of Cleaner Production, 243(10). https://doi.org/https://doi.org/10.1016/j.jclepro.2019.118637
- Chudik A., & Pesaran M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of Econometrics, 188(2), 393–420. https://doi.org/https://doi.org/10.1016/j.jeconom.2015.03.007
- Cole M. A., Rayner A. J., & Bates J. M. (1997). The environmental Kuznets curve: An empirical analysis. Environment and Development Economics, 2(4), 401–416. https://doi.org/https://doi.org/10.1017/S1355770X97000211
- Dai A. (2013). Increasing drought under global warming in observations and models. Nature Climate Change, 3(1), 52–58. https://doi.org/https://doi.org/10.1038/nclimate1633
- Darko A., Chan A. P. C., Yang Y., Shan M., He B. J., & Gou Z. (2018). Influences of barriers, drivers, and promotion strategies on green building technologies adoption in developing countries: The Ghanaian case. Journal of Cleaner Production, 200, 687–703. https://doi.org/https://doi.org/10.1016/j.jclepro.2018.07.318
- Dasgupta S., Laplante B., Wang H., & Wheeler D. (2002). Confronting the environmental Kuznets curve. Journal of Economic Perspectives, 16(1), 147–168. https://doi.org/https://doi.org/10.1257/0895330027157
- Didier T., & Pinat M. (2017). The nature of trade and growth linkages. World Bank.
- Dinda S. (2004). Environmental Kuznets curve hypothesis: A survey. Ecological Economics, 49(4), 431–455. https://doi.org/https://doi.org/10.1016/j.ecolecon.2004.02.011
- Ditzen J. (2018). Estimating dynamic common-correlated effects in stata. The Stata Journal: Promoting Communications on Statistics and Stata, 18(3), 585–617. https://doi.org/https://doi.org/10.1177/1536867X1801800306
- Doğan B., Saboori B., & Can M. (2019). Does economic complexity matter for environmental degradation? An empirical analysis for different stages of development. Environmental Science and Pollution Research, 26(31), 31900–31912. https://doi.org/https://doi.org/10.1007/s11356-019-06333-1
- Fernández Y. F., López M. F., & Blanco B. O. (2018). Innovation for sustainability: The impact of R&D spending on CO2 emissions. Journal of Cleaner Production, 172, 3459–3467. https://doi.org/https://doi.org/10.1016/j.jclepro.2017.11.001
- Grossman G. M., & Krueger A. B. (1991). Environmental impacts of a North American free trade agreement (Tech. Rep.). National Bureau of economic research.
- Halicioglu F. (2009). An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy, 37(3), 1156–1164. https://doi.org/https://doi.org/10.1016/j.enpol.2008.11.012
- Hausmann R., Hidalgo C., Bustos S., Coscia M., Simoes A., & Yildirim M. (2014). The atlas of economic complexity: Mapping paths to prosperity. Center for International Development/MIT Media Lab.
- Hausmann R., Hwang J., & Rodrik D. (2006). What you export matters (Tech. Rep. |Working paper No. 11905). National Bureau of Economic Research.
- Hidalgo C. A., & Hausmann R. (2009). The building blocks of economic complexity. Proceedings of the National Academy of Sciences, 106(26), 10570–10575. https://doi.org/https://doi.org/10.1073/pnas.0900943106
- Hu G., Can M., Paramati S. R., Doğan B., & Fang J. (2020). The effect of import product diversification on carbon emissions: New evidence for sustainable economic policies. Economic Analysis and Policy, 65, 198–210. https://doi.org/https://doi.org/10.1016/j.eap.2020.01.004
- Ibrahim M. H., & Law S. H. (2014). Social capital and CO2 emission-output relations: A panel analysis. Renewable and Sustainable Energy Reviews, 29, 528–534. https://doi.org/https://doi.org/10.1016/j.rser.2013.08.076
- Ivanova I., Strand Ø., Kushnir D., & Leydesdorff L. (2017). Economic and technological complexity: A model study of indicators of knowledge-based innovation systems. Technological Forecasting and Social Change, 120, 77–89. https://doi.org/https://doi.org/10.1016/j.techfore.2017.04.007
- Jalil A., & Mahmud S. F. (2009). Environment Kuznets curve for CO2 emissions: A cointegration analysis for China. Energy Policy, 37(12), 5167–5172. https://doi.org/https://doi.org/10.1016/j.enpol.2009.07.044
- Jang J. S. R. (1991). Fuzzy modeling using generalized neural networks and Kalman filter algorithm. In AAAI (Vol. 91, pp. 762–767).
- Jang J. S. R. (1993). ANFIS: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics, 23(3), 665–685. https://doi.org/https://doi.org/10.1109/21.256541
- Jarreau J., & Poncet S. (2012). Export sophistication and economic growth: Evidence from China. Journal of Development Economics, 97(2), 281–292. https://doi.org/https://doi.org/10.1016/j.jdeveco.2011.04.001
- Jin T., & Kim J. (2019). A comparative study of energy and carbon efficiency for emerging countries using panel stochastic frontier analysis. Scientific Reports, 9(1). https://doi.org/https://doi.org/10.1038/s41598-019-43178-7
- Kao C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1–44. https://doi.org/https://doi.org/10.1016/S0304-4076(98)00023-2
- Laverde-Rojas H., & Correa J. C. (2019). Can scientific productivity impact the economic complexity of countries? Scientometrics, 120(1), 267–282. https://doi.org/https://doi.org/10.1007/s11192-019-03118-8
- Laverde-Rojas H., Correa J. C., Jaffe K., & Caicedo M. I. (2019). Are average years of education losing predictive power for economic growth? An alternative measure through structural equations modeling. PLoS One, 14(3), Article number e0213651. https://doi.org/https://doi.org/10.1371/journal.pone.0213651
- Laverde-Rojas H., Guevara-Fletcher D. A., & Camacho-Murillo A. (2021). Economic growth, economic complexity, and carbon dioxide emissions: The case of Colombia. Heliyon, 7(6), Article number e07188. https://doi.org/https://doi.org/10.1016/j.heliyon.2021.e07188
- Lederman D., Lesniak J. T., Feenstra R. C., Inklaar R., & Timmer M. P. (2017). The next generation of the penn world table. American Economic Review, 105(10), 3150–3182. https://doi.org/https://doi.org/10.1257/aer.20130954
- Lee K., & Lee J. (2019). National innovation systems, economic complexity, and economic growth: Country panel analysis using the US patent data. Journal of Evolutionary Economics, 30, 1–32. https://doi.org/https://doi.org/10.1007/s00191-019-00612-3
- Lind J. T., & Mehlum H. (2010). With or without U? The appropriate test for a U-shaped relationship. Oxford Bulletin of Economics and Statistics, 72(1), 109–118. https://doi.org/https://doi.org/10.1111/obes.2009.72.issue-1
- Liu Y., Yan B., & Zhou Y. (2016). Urbanization, economic growth, and carbon dioxide emissions in China: A panel cointegration and causality analysis. Journal of Geographical Sciences, 26(2), 131–152. https://doi.org/https://doi.org/10.1007/s11442-016-1259-2
- Mania E. (2019). Export diversification and CO2 emissions: An augmented environmental Kuznets curve. Journal of International Development, 32, 168–185. https://doi.org/https://doi.org/10.1002/jid.3441.
- Mardani A., Van Fan Y., Nilashi M., Hooker R. E., Ozkul S., Streimikiene D., & Loganathan N. (2019). A two-stage methodology based on ensemble adaptive neuro-fuzzy inference system to predict carbon dioxide emissions. Journal of Cleaner Production, 231, 446–461. https://doi.org/https://doi.org/10.1016/j.jclepro.2019.05.153
- Mealy P., Farmer J. D., & Teytelboym A. (2019). Interpreting economic complexity. Science Advances, 5(1), Article number eaau1705. https://doi.org/https://doi.org/10.1126/sciadv.aau1705
- Meinshausen M., Meinshausen N., Hare W., Raper S. C., Frieler K., Knutti R., Frame D. J., & Allen M. R. (2009). Greenhouse-gas emission targets for limiting global warming to 2∘C. Nature, 458(7242), Article number 1158. https://doi.org/https://doi.org/10.1038/nature08017
- Mills J. H., & Waite T. A. (2009). Economic prosperity, biodiversity conservation, and the environmental Kuznets curve. Ecological Economics, 68(7), 2087–2095. https://doi.org/https://doi.org/10.1016/j.ecolecon.2009.01.017
- Mishra S., Tewari I., & Toosi S. (2020). Economic complexity and the globalization of services. Structural Change and Economic Dynamics, 53, 267–280. https://doi.org/https://doi.org/10.1016/j.strueco.2020.03.002
- Neagu O., & Teodoru M. C. (2019). The relationship between economic complexity, energy consumption structure and greenhouse gas emission: Heterogeneous panel evidence from the EU countries. Sustainability, 11(2), 497. https://doi.org/https://doi.org/10.3390/su11020497
- Omri A. (2013). CO2 emissions, energy consumption and economic growth nexus in MENA countries: Evidence from simultaneous equations models. Energy Economics, 40, 657–664. https://doi.org/https://doi.org/10.1016/j.eneco.2013.09.003
- 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/https://doi.org/10.1111/obes.1999.61.issue-S1
- 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/https://doi.org/10.1017/S0266466604203073
- Pesaran M. H. (2004). General diagnostic tests for cross-sectional dependence in panels (Cambridge Working Papers in Economics 435). University of Cambridge.
- Pesaran M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312. https://doi.org/https://doi.org/10.1002/(ISSN)1099-1255
- Pesaran M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6–10), 1089–1117. https://doi.org/https://doi.org/10.1080/07474938.2014.956623
- Pontarollo N., & R. M. Muñoz (2020). Land consumption and income in Ecuador: A case of an inverted environmental Kuznets curve. Ecological Indicators, 108, 1–30. https://doi.org/https://doi.org/10.1016/j.ecolind.2019.105699.
- R Core Team (2019). R: A language and environment for statistical computing (Computer Software Manual). https://www.R-project.org/
- Riza L. S., Bergmeir C., Herrera F., & Benítez J. M. (2015). frbs: Fuzzy rule-based systems for classification and regression in R. Journal of Statistical Software, 65(6). https://doi.org/https://doi.org/10.18637/jss.v065.i06
- Roodman D. (2009). How to do xtabond2: An introduction to difference and system GMM in stata. The Stata Journal, 9(1), 86–136. https://doi.org/https://doi.org/10.1177/1536867X0900900106
- Shahbaz M., & Sinha A. (2019). Environmental Kuznets curve for CO2 emissions: A literature survey. Journal of Economic Studies, 46(1), 106–168. https://doi.org/https://doi.org/10.1108/JES-09-2017-0249
- Sharma S. S. (2011). Determinants of carbon dioxide emissions: Empirical evidence from 69 countries. Applied Energy, 88(1), 376–382. https://doi.org/https://doi.org/10.1016/j.apenergy.2010.07.022
- Simoes A. J. G., & Hidalgo C. A. (2011). The economic complexity observatory: An analytical tool for understanding the dynamics of economic development. In Workshops at the twenty-fifth AAAI conference on artificial intelligence.
- Singer M. (2019). Climate change and social inequality: The health and social costs of global warming. Routledge.
- Sohag K., Al Mamun M., Uddin G. S., & Ahmed A. M. (2017). Sectoral output, energy use, and CO 2 emission in middle-income countries. Environmental Science and Pollution Research, 24(10), 9754–9764. https://doi.org/https://doi.org/10.1007/s11356-017-8599-z
- Sohag K., R. A. Begum, Abdullah S. M. S., & Jaafar M. (2015). Dynamics of energy use, technological innovation, economic growth and trade openness in Malaysia. Energy, 90(Part 2), 1497–1507. https://doi.org/https://doi.org/10.1016/j.energy.2015.06.101.
- Soytas U., Sari R., & Ewing B. T. (2007). Energy consumption, income, and carbon emissions in the United States. Ecological Economics, 62(3–4), 482–489. https://doi.org/https://doi.org/10.1016/j.ecolecon.2006.07.009
- Stern D. I. (2004). The rise and fall of the environmental Kuznets curve. World Development, 32(8), 1419–1439. https://doi.org/https://doi.org/10.1016/j.worlddev.2004.03.004
- Stern D. I., Common M. S., & Barbier E. B. (1996). Economic growth and environmental degradation: The environmental Kuznets curve and sustainable development. World Development, 24(7), 1151–1160. https://doi.org/https://doi.org/10.1016/0305-750X(96)00032-0
- Stojkoski V., Utkovski Z., & Kocarev L. (2016). The impact of services on economic complexity: Service sophistication as route for economic growth. PLoS One, 11(8), Article ID e0161633. https://doi.org/https://doi.org/10.1371/journal.pone.0161633
- Wang L., Chang H. L., Rizvi S. K. A., & Sari A. (2020). Are eco-innovation and export diversification mutually exclusive to control carbon emissions in G-7 countries? Journal of Environmental Management, 270. https://doi.org/https://doi.org/10.1016/j.jenvman.2020.110829
- Westerlund J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748. https://doi.org/https://doi.org/10.1111/obes.2007.69.issue-6
- Wu L., Kaneko S., & Matsuoka S. (2005). Driving forces behind the stagnancy of China's energy-related CO2 emissions from 1996 to 1999: The relative importance of structural change, intensity change and scale change. Energy Policy, 33(3), 319–335. https://doi.org/https://doi.org/10.1016/j.enpol.2003.08.003
- Zwetsloot G. I. (1995). Improving cleaner production by integration into the management of quality, environment and working conditions. Journal of Cleaner Production, 3(1–2), 61–66. https://doi.org/https://doi.org/10.1016/0959-6526(95)00046-H