Abstract
With the emergence of new environmental challenges, the direction of environmental research is changing exponentially. To implement anti-warming and pro-environmental interventions, it is vital that we adopt robust and reliable measures of environmental degradation. Any exception to this will breed inaccurate forecasts, generating loopholes in the policies. Thus, in a groundbreaking occurrence within the realm of literature, we juxtapose how trade-adjusted emissions (CCO2) and total emissions (CO2) respond as we set shock on environmental technology (EVT), economic complexity index (ECI), natural resource rent (NRT), research and development (R&D), and energy efficiency (EFX) from 2000 to 2020 across the OECD nations. We also control GDP and renewable energy consumption (RWE). The findings of the novel non-parametric method of moments quantile regression (MMQR) reveal that EVT has an insignificant positive impression on CCO2, whereas it has a heterogeneous impact on CO2 emissions. Moreover, ECI cuts trade-adjusted emissions, indicating that complex economies like OECD’s have better emissions reduction potentiality through export diversification. However, we unveil a paradoxical relationship in the ECI-CO2 nexus since total emissions do not account for trade-adjusted emissions. R&D surges CO2 and CCO2 emissions, where the latter is statistically insignificant. Furthermore, EFX increases total emissions, indicating a rebound effect among the OECD territories. We also note different causal relationships to rectify the results’ robustness. Our novel findings thus enrich the streaming literature by juxtaposing how different measures of environmental degradation respond over a series of empirical shocks and establishing that trade-adjusted emissions are better indicators of environmental degradation, exclusively in the context of complex economies.
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Data Availability
Data used in this study will be made available upon reasonable request.
Notes
Please refer to the link, https://www.oecd.org/climate-change/data/.
References
Acharya, B. S., & Kharel, G. (2020). Acid mine drainage from coal mining in the United States–An overview. Journal of Hydrology, 588, 125061. https://doi.org/10.1016/j.jhydrol.2020.125061
Acheampong, A. O., Opoku, E. E. O., & Dzator, J. (2022). Does democracy really improve environmental quality? Empirical contribution to the environmental politics debate. Energy Economics, 109, 105942. https://doi.org/10.1016/j.eneco.2022.105942
Adedoyin, F. F., Bekun, F. V., & Alola, A. A. (2020). Growth impact of transition from non-renewable to renewable energy in the EU: The role of research and development expenditure. Renewable Energy, 159, 1139–1145.
Ahmad, M., Khan, Z., Rahman, Z. U., Khattak, S. I., & Khan, Z. U. (2021). Can innovation shocks determine CO2 emissions (CO2e) in the OECD economies? A new perspective. Economics of Innovation and New Technology, 30(1), 89–109.
Akram, R., Chen, F., Khalid, F., Ye, Z., & Majeed, M. T. (2020). Heterogeneous effects of energy efficiency and renewable energy on carbon emissions: Evidence from developing countries. Journal of Cleaner Production, 247, 119122. https://doi.org/10.1016/j.jclepro.2019.119122
Aladejare, S. A. (2022). Natural resource rents, globalisation and environmental degradation: New insight from 5 richest African economies. Resources Policy, 78, 102909. https://doi.org/10.1016/j.resourpol.2022.102909
Ali, M., Raza, S. A., & Khamis, B. (2020). Environmental degradation, economic growth, and energy innovation: Evidence from European countries. Environmental Science and Pollution Research, 27(22), 28306–28315.
Álvarez-Herránz, A., Balsalobre, D., Cantos, J. M., & Shahbaz, M. (2017). Energy innovations-GHG emissions nexus: Fresh empirical evidence from OECD countries. Energy Policy, 101, 90–100.
Ančić, I., Vladimir, N., & Cho, D. S. (2018). Determining environmental pollution from ships using Index of Energy Efficiency and Environmental Eligibility (I4E). Marine Policy, 95, 1–7.
Awan, A., Abbasi, K. R., Rej, S., Bandyopadhyay, A., & Lv, K. (2022). The impact of renewable energy, internet use and foreign direct investment on carbon dioxide emissions: A method of moments quantile analysis. Renewable Energy, 189, 454–466.
Awan, A., Alnour, M., Jahanger, A., & Chukwuma, O. J. (2022). Do technological innovation and urbanization mitigate carbon dioxide emissions from the transport sector? Technology in Society, 71, 102128.
Aydin, M., & Bozatli, O. (2023). The effects of green innovation, environmental taxes, and financial development on renewable energy consumption in OECD countries. Energy, 280, 128105.
Ayres, R. U., Turton, H., & Casten, T. (2007). Energy efficiency, sustainability and economic growth. Energy, 32(5), 634–648.
Baloch, Z. A., Tan, Q., Khan, M. Z., Alfakhri, Y., & Raza, H. (2021). Assessing energy efficiency in the Asia-Pacific region and the mediating role of environmental pollution: Evidence from a super-efficiency model with a weighting preference scheme. Environmental Science and Pollution Research, 28(35), 48581–48594.
Balsalobre, D., Álvarez, A., & Cantos, J. M. (2015). Public budgets for energy RD&D and the effects on energy intensity and pollution levels. Environmental Science and Pollution Research, 22(7), 4881–4892.
Bera, A. K., & Jarque, C. M. (1981). Efficient tests for normality, homoscedasticity and serial independence of regression residuals: Monte Carlo evidence. Economics Letters, 7(4), 313–318. https://doi.org/10.1016/0165-1765(81)90035-5
Beylot, A., Hochar, A., Michel, P., Descat, M., Ménard, Y., & Villeneuve, J. (2018). Municipal solid waste incineration in France: An overview of air pollution control techniques, emissions, and energy efficiency. Journal of Industrial Ecology, 22(5), 1016–1026.
Bilgili, F., Nathaniel, S. P., Kuşkaya, S., & Kassouri, Y. (2021). Environmental pollution and energy research and development: An Environmental Kuznets Curve model through quantile simulation approach. Environmental Science and Pollution Research, 28(38), 53712–53727.
Canay, I. (2011). A simple approach to quantile regression for panel data. Economy J, 14(3), 368–386.
Doğan, B., Driha, O. M., Balsalobre Lorente, D., & Shahzad, U. (2021). The mitigating effects of economic complexity and renewable energy on carbon emissions in developed countries. Sustainable Development, 29(1), 1–12. https://doi.org/10.1002/sd.2125
Doğan, B., Ferraz, D., Gupta, M., Huynh, T. L. D., & Shahzadi, I. (2022). Exploring the effects of import diversification on energy efficiency: Evidence from the OECD economies. Renewable Energy, 189, 639–650.
Du, Z., Xu, C., & Lin, B. (2022). Does the Emission Trading Scheme achieve the dual dividend of reducing pollution and improving energy efficiency? Micro evidence from China. Journal of Environmental Management, 323, 116202.
Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460.
Feng, Y., Wang, X., & Liang, Z. (2021). How does environmental information disclosure affect economic development and haze pollution in Chinese cities? The mediating role of green technology innovation. Science of The Total Environment, 775, 145811.
Fuglie, K., Ray, S., Baldos, U. L. C., & Hertel, T. W. (2022). The R&D cost of climate mitigation in agriculture. Applied Economic Perspectives and Policy. https://doi.org/10.1002/aepp.13245
Galvo, A. J. (2011). Quantile regression for dynamic panel with fixed effects. Journal of Econometrics, 164(1), 142–157.
Gharbi, I., Kammoun, A., & Kefi, M. K. (2023). To what extent does renewable energy deployment reduce pollution indicators? the moderating role of research and development expenditure: Evidence from the top three ranked countries. Frontiers in Environmental Science, 11, 1096885.
Habiba, U. M. M. E., Xinbang, C., & Anwar, A. (2022). Do green technology innovations, financial development, and renewable energy use help to curb carbon emissions? Renewable Energy, 193, 1082–1093.
Hall, P. J., & Bain, E. J. (2008). Energy-storage technologies and electricity generation. Energy Policy, 36(12), 4352–4355.
Hasanbeigi, A., & Price, L. (2015). A technical review of emerging technologies for energy and water efficiency and pollution reduction in the textile industry. Journal of Cleaner Production, 95, 30–44.
Hasanov, F. J., Khan, Z., Hussain, M., & Tufail, M. (2021). Theoretical framework for the carbon emissions effects of technological progress and renewable energy consumption. Sustainable Development, 29(5), 810–822. https://doi.org/10.1002/sd.2175
Hassan, S. T., Wang, P., Khan, I., & Zhu, B. (2023). The impact of economic complexity, technology advancements, and nuclear energy consumption on the ecological footprint of the USA: Towards circular economy initiatives. Gondwana Research, 113, 237–246. https://doi.org/10.1016/j.gr.2022.11.001
Hassan, T., Song, H., Khan, Y., & Kirikkaleli, D. (2022). Energy efficiency a source of low carbon energy sources? Evidence from 16 high-income OECD economies. Energy, 243, 123063.
He, P., Sun, Y., Shen, H., Jian, J., & Yu, Z. (2019). Does environmental tax affect energy efficiency? An empirical study of energy efficiency in OECD countries based on DEA and Logit model. Sustainability, 11(14), 3792.
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. https://doi.org/10.1016/j.resourpol.2022.102710
Hossain, M. R., Dash, D. P., Das, N., Ullah, E., & Hossain, M. E. (2024). Green energy transition in OECD region through the lens of economic complexity and environmental technology: A method of moments quantile regression perspective. Applied Energy, 365, 123235.
Hossain, M., Rej, S., Hossain, M. R., Bandyopadhyay, A., Tama, R. A. Z., & Ullah, A. (2022). Energy mix with technological innovation to abate carbon emission: fresh evidence from Mexico applying wavelet tools and spectral causality. Environmental Science and Pollution Research, 1–22. https://doi.org/10.1007/s11356-022-22555-2
Hu, Y., Jiang, W., Dong, H., & Majeed, M. T. (2022). Transmission channels between financial efficiency and renewable energy consumption: Does environmental technology matter in high-polluting economies? Journal of Cleaner Production, 368, 132885.
Jahanger, A., Hossain, M. R., Chukwuma, O. J., Obinozie, O. S., Awan, A., & Balsalobre-Lorente, D. (2023). Analyzing the N-shaped EKC among top nuclear energy generating nations: A novel dynamic common correlated effects approach. Gondwana Research. https://doi.org/10.1016/j.gr.2022.12.012
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, 1–16. https://doi.org/10.1007/s11356-022-20003-9
Jiskani, I. M., Cai, Q., Zhou, W., & Shah, S. A. A. (2021). Green and climate-smart mining: A framework to analyze open-pit mines for cleaner mineral production. Resources Policy, 71, 102007. https://doi.org/10.1016/j.resourpol.2021.102007
Kanada, M., Fujita, T., Fujii, M., & Ohnishi, S. (2013). The long-term impacts of air pollution control policy: Historical links between municipal actions and industrial energy efficiency in Kawasaki City, Japan. Journal of Cleaner Production, 58, 92–101.
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
Kao, C., & Chiang, M. H. (2001). On the estimation and inference of a cointegrated regression in panel data. Advances in Econometrics, 15, 179–222.
Karimi, M. S., Ahmad, S., Karamelikli, H., Dinç, D. T., Khan, Y. A., Sabzehei, M. T., & Abbas, S. Z. (2021). Dynamic linkages between renewable energy, carbon emissions and economic growth through nonlinear ARDL approach: Evidence from Iran. PLoS ONE, 16(7), e0253464.
Khan, Z., Ali, S., Umar, M., Kirikkaleli, D., & Jiao, Z. (2020). Consumption-based carbon emissions and international trade in G7 countries: The role of environmental innovation and renewable energy. Science of the Total Environment, 730, 138945. https://doi.org/10.1016/j.scitotenv.2020.138945
Khezri, M., Heshmati, A., & Khodaei, M. (2022). Environmental implications of economic complexity and its role in determining how renewable energies affect CO2 emissions. Applied Energy, 306, 117948. https://doi.org/10.1016/j.apenergy.2021.117948
Kirikkaleli, D., Güngör, H., & Adebayo, T. S. (2022). Consumption-based carbon emissions, renewable energy consumption, financial development and economic growth in Chile. Business Strategy and the Environment, 31(3), 1123–1137. https://doi.org/10.1002/bse.2945
Koçak, E., & Ulucak, Z. Ş. (2019). The effect of energy R&D expenditures on CO2 emission reduction: Estimation of the STIRPAT model for OECD countries. Environmental Science and Pollution Research, 26(14), 14328–14338.
Komen, M. H., Gerking, S., & Folmer, H. (1997). Income and environmental R&D: Empirical evidence from OECD countries. Environment and Development Economics, 2(4), 505–515.
Li, C., Sampene, A. K., Agyeman, F. O., Brenya, R., & Wiredu, J. (2022). The role of green finance and energy innovation in neutralizing environmental pollution: Empirical evidence from the MINT economies. Journal of Environmental Management, 317, 115500.
Li, G., & Wei, W. (2021). Financial development, openness, innovation, carbon emissions, and economic growth in China. Energy Economics, 97, 105194.
Li, Z., Wang, J., & Che, S. (2021). Synergistic effect of carbon trading scheme on carbon dioxide and atmospheric pollutants. Sustainability, 13(10), 5403.
Liao, H., Chen, Y., Tan, R., Chen, Y., Wei, X., & Yang, H. (2023). Can natural resource rent, technological innovation, renewable energy, and financial development ease China’s environmental pollution burden? New evidence from the nonlinear-autoregressive distributive lag model. Resources Policy, 84, 103760.
Luo, X., Wang, J., Dooner, M., & Clarke, J. (2015). Overview of current development in electrical energy storage technologies and the application potential in power system operation. Applied energy, 137, 511–536.
Machado, J. A., & Silva, J. S. (2019). Quantiles via moments. Journal of Econometrics, 213(1), 145–173.
Mealy, P., & Teytelboym, A. (2022). Economic complexity and the green economy. Research Policy, 51(8), 103948.
Meng, Y., Wu, H., Wang, Y., & Duan, Y. (2022). International trade diversification, green innovation, and consumption-based carbon emissions: The role of renewable energy for sustainable development in BRICST countries. Renewable Energy, 198, 1243–1253.
Menyah, K., & Wolde-Rufael, Y. (2010). CO2 emissions, nuclear energy, renewable energy and economic growth in the US. Energy Policy, 38(6), 2911–2915.
Mohsin, M., Hanif, I., Taghizadeh-Hesary, F., Abbas, Q., & Iqbal, W. (2021). Nexus between energy efficiency and electricity reforms: A DEA-based way forward for clean power development. Energy Policy, 149, 112052. https://doi.org/10.1016/j.enpol.2020.112052
Ockwell, D. G., Haum, R., Mallett, A., & Watson, J. (2010). Intellectual property rights and low carbon technology transfer: Conflicting discourses of diffusion and development. Global Environmental Change, 20(4), 729–738.
Ouyang, X., Shao, Q., Zhu, X., He, Q., Xiang, C., & Wei, G. (2019). Environmental regulation, economic growth and air pollution: Panel threshold analysis for OECD countries. Science of the Total Environment, 657, 234–241.
Ozkan, O., Khan, N., & Ahmed, M. (2023). Impact of green technological innovations on environmental quality for Turkey: Evidence from the novel dynamic ARDL simulation model. Environmental Science and Pollution Research, 30(28), 72207–72223.
Paramati, S. R., Shahzad, U., & Doğan, B. (2022). The role of environmental technology for energy demand and energy efficiency: Evidence from OECD countries. Renewable and Sustainable Energy Reviews, 153, 111735.
Pedroni, P. (2001). Fully modified OLS for heterogeneous cointegrated panels. In Nonstationary panels, panel cointegration, and dynamic panels. Emerald Group Publishing Limited. https://doi.org/10.1016/S0731-9053(00)15004-2
Peng, X. (2020). Strategic interaction of environmental regulation and green productivity growth in China: Green innovation or pollution refugee? Science of The Total Environment, 732, 139200.
Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. Cambridge working papers. Economics, 1240(1), 1.
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/10.1002/jae.951
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
Petrović, P., & Lobanov, M. M. (2020). The impact of R&D expenditures on CO2 emissions: Evidence from sixteen OECD countries. Journal of Cleaner Production, 248, 119187. https://doi.org/10.1016/j.jclepro.2019.119187
Ponce, P., & Khan, S. A. R. (2021). A causal link between renewable energy, energy efficiency, property rights, and CO2 emissions in developed countries: A road map for environmental sustainability. Environmental Science and Pollution Research, 28(28), 37804–37817.
Razzaq, A., Sharif, A., Afshan, S., & Li, C. J. (2023). Do climate technologies and recycling asymmetrically mitigate consumption-based carbon emissions in the United States? New insights from Quantile ARDL. Technological Forecasting and Social Change, 186, 122138. https://doi.org/10.1016/j.techfore.2022.122138
Ren, X., Xiao, Y., Xiao, S., Jin, Y., & Taghizadeh-Hesary, F. (2024). The effect of climate vulnerability on global carbon emissions: Evidence from a spatial convergence perspective. Resources Policy, 90, 104817.
Romer, P. M. (1990). Endogenous technological change. Journal of Political Economy, 98(5, Part 2), S71–S102.
Safdar, S., Khan, A., & Andlib, Z. (2022). Impact of good governance and natural resource rent on economic and environmental sustainability: An empirical analysis for South Asian economies. Environmental Science and Pollution Research, 29(55), 82948–82965.
Safi, A., Wei, X., Sansaloni, E. M., & Umar, M. (2023). Breaking down the complexity of sustainable development: A focus on resources, economic complexity, and innovation. Resources Policy, 83, 103746.
Sampene, A. K., Li, C., Oteng-Agyeman, F., & Brenya, R. (2022). Dissipating environmental pollution in the BRICS economies: Do urbanization, globalization, energy innovation, and financial development matter? Environmental Science and Pollution Research, 29(55), 82917–82937.
Saqib, N., & Dincă, G. (2023). Exploring the asymmetric impact of economic complexity, FDI, and green technology on carbon emissions: Policy stringency for clean-energy investing countries. Geoscience Frontiers, 15(4), 101671.
Saud, S., Haseeb, A., Zafar, M. W., & Li, H. (2023). Articulating natural resource abundance, economic complexity, education and environmental sustainability in MENA countries: Evidence from advanced panel estimation. Resources Policy, 80, 103261. https://doi.org/10.1016/j.resourpol.2022.103261
Shahbaz, M., Nasir, M. A., Hille, E., & Mahalik, M. K. (2020). UK’s net-zero carbon emissions target: Investigating the potential role of economic growth, financial development, and R&D expenditures based on historical data (1870–2017). Technological Forecasting and Social Change, 161, 120255.
Shahbaz, M., Song, M., Ahmad, S., & Vo, X. V. (2022). Does economic growth stimulate energy consumption? The role of human capital and R&D expenditures in China. Energy Economics, 105, 105662.
Shams, M., Tavakkoli Nezhad, N., Dehghan, A., Alidadi, H., Paydar, M., Mohammadi, A. A., & Zarei, A. (2022). Heavy metals exposure, carcinogenic and non-carcinogenic human health risks assessment of groundwater around mines in Joghatai, Iran. International Journal of Environmental Analytical Chemistry, 102(8), 1884–1899. https://doi.org/10.1080/03067319.2020.1743835
Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Festschrift in honor of Peter Schmidt (pp. 281–314). Springer.
Umar, M., & Safi, A. (2023). Do green finance and innovation matter for environmental protection? A case of OECD economies. Energy Economics, 119, 106560.
Wang, C. M., Hsueh, H. P., Li, F., & Wu, C. F. (2019). Bootstrap ARDL on health expenditure, CO2 emissions, and GDP growth relationship for 18 OECD countries. Frontiers in public health, 7, 324.
Wang, F., Rani, T., & Razzaq, A. (2022). Environmental impact of fiscal decentralization, green technology innovation and institution’s efficiency in developed countries using advance panel modelling. Energy & Environment, 0958305X221074727. https://doi.org/10.1177/0958305X221074727
Wang, Q., & Zhang, F. (2020). Does increasing investment in research and development promote economic growth decoupling from carbon emission growth? An empirical analysis of BRICS countries. Journal of Cleaner Production, 252, 119853.
Wang, Q., Zhang, F., & Li, R. (2023). Revisiting the environmental Kuznets curve hypothesis in 208 counties: The roles of trade openness, human capital, renewable energy and natural resource rent. Environmental Research, 216, 114637. https://doi.org/10.1016/j.envres.2022.114637
Wang, S., & Ma, L. (2024). Does new energy demonstration city policy curb air pollution? Evidence from Chinese cities. Science of The Total Environment, 918, 170595.
Wang, Z., Fu, H., Ren, X., & Gozgor, G. (2024). Exploring the carbon emission reduction effects of corporate climate risk disclosure: Empirical evidence based on Chinese A-share listed enterprises. International Review of Financial Analysis, 92, 103072.
Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and statistics, 69(6), 709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
Wu, H., Hao, Y., Ren, S., Yang, X., & Xie, G. (2021). Does internet development improve green total factor energy efficiency? Evidence from China. Energy Policy, 153, 112247.
Xiong, W., Han, Y., Crabbe, M. J. C., & Yue, X. G. (2020). Fiscal expenditures on science and technology and environmental pollution: Evidence from China. International Journal of Environmental Research and Public Health, 17(23), 8761.
Yang, J., & Chen, B. (2021). Energy efficiency evaluation of wastewater treatment plants (WWTPs) based on data envelopment analysis. Applied Energy, 289, 116680.
Yang, L., Wang, K. L., & Geng, J. C. (2018). China’s regional ecological energy efficiency and energy saving and pollution abatement potentials: An empirical analysis using epsilon-based measure model. Journal of Cleaner Production, 194, 300–308.
Zafar, M. W., Saleem, M. M., Destek, M. A., & Caglar, A. E. (2022). The dynamic linkage between remittances, export diversification, education, renewable energy consumption, economic growth, and CO2 emissions in top remittance-receiving countries. Sustainable Development, 30(1), 165–175. https://doi.org/10.1002/sd.2236
Zafar, M. W., Shahbaz, M., Hou, F., & Sinha, A. (2019). From nonrenewable to renewable energy and its impact on economic growth: The role of research & development expenditures in Asia-Pacific Economic Cooperation countries. Journal of Cleaner Production, 212, 1166–1178.
Zhang, D., Mohsin, M., Rasheed, A. K., Chang, Y., & Taghizadeh-Hesary, F. (2021). Public spending and green economic growth in BRI region: Mediating role of green finance. Energy Policy, 153, 112256.
Zhang, H., Duan, Y., Yang, J., Han, Z., & Wang, H. (2023). Can green finance improve China’s haze pollution reduction? The role of energy efficiency. Environmental Development, 45, 100833.
Zhang, S., Worrell, E., & Crijns-Graus, W. (2015). Evaluating co-benefits of energy efficiency and air pollution abatement in China’s cement industry. Applied Energy, 147, 192–213.
Zhang, S., Worrell, E., Crijns-Graus, W., Wagner, F., & Cofala, J. (2014). Co-benefits of energy efficiency improvement and air pollution abatement in the Chinese iron and steel industry. Energy, 78, 333–345.
Zhang, Z., & Zheng, Q. (2023). Sustainable development via environmental taxes and efficiency in energy: Evaluating trade adjusted carbon emissions. Sustainable Development. https://doi.org/10.1002/sd.2400
Ziolo, M., Jednak, S., Savić, G., & Kragulj, D. (2020). Link between energy efficiency and sustainable economic and financial development in OECD countries. Energies, 13(22), 5898.
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Mohammad Razib Hossain conceptualized and wrote the manuscript. Devi Prasad Dash wrote the introduction and literature review part. Narasingha Das performed data curation. formal analysis and conceptualize the study. Md. Emran Hossain wrote the methodology, wrote the paper and revised the manuscript. Mohammad Haseeb wrote the original manuscript and reviewed and edited the manuscript. Javier Cifuentes-Faura wrote the conclusion and policy part.
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Appendix. Country list
Appendix. Country list
Country name | Country name |
---|---|
Sweden | Netherlands |
Denmark | United Kingdom |
Germany | Spain |
Czech Republic | Greece |
Austria | Luxembourg |
Finland | Ireland |
Slovakia | Iceland |
Switzerland | New Zealand |
Lithuania | Australia |
Hungary | Japan |
Slovenia | South Korea |
Portugal | Turkey |
Estonia | Israel |
Latvia | USA |
Belgium | Canada |
Poland | Mexico |
France | Colombia |
Italy | Costa Rica |
Norway | Chile |
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Hossain, M.R., Dash, D.P., Das, N. et al. Do Trade-Adjusted Emissions Perform Better in Capturing Environmental Mishandling among the Most Complex Economies of the World?. Environ Model Assess (2024). https://doi.org/10.1007/s10666-024-09994-6
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DOI: https://doi.org/10.1007/s10666-024-09994-6