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Impact of Economic Growth, Technological Innovation, and Globalization on Environmental Degradation in an Emerging Market

Year 2022, Volume: 7 Issue: 1, 211 - 225, 30.06.2022

Abstract

This current study reveals a new understanding of the dynamic impact of globalization, technological innovation, economic growth on environmental degradation in South Africa by utilizing innovative analyses. This research applied wavelet-based techniques for datasets between 1980 and 2017. The empirical outcomes establish proof of a connection between CO2 emissions (CO2E) and technological innovation, economic growth, and globalization over time and frequency. Additionally, from the viewpoint of frequency-domain, this paper shows impressive wavelet coherence and robust lead/lag interaction. The empirical findings indicate that technological innovation, globalization, and economic growth depreciate the level of environmental quality in South Africa in the short and medium-term. The findings highlight the importance of having coordinated policies by lawmakers and government officials to prevent environmental degradation that has taken place in South Africa for many decades.

References

  • Adams, S., & Nsiah, C. (2019). Reducing carbon dioxide emissions; Does renewable energy matter? Science of The Total Environment, 693, 133288.
  • Adebayo, T. S. (2020). New Insights into Export-growth Nexus: Wavelet and Causality Approaches. Asian Journal of Economics, Business and Accounting, 32-44.
  • Adebayo, T. S. (2020a). Dynamic Relationship between Oil Price and Inflation in Oil Exporting Economy: Empirical Evidence from Wavelet Coherence Technique. Energy Economics Letters, 7(1), 12-22.
  • Adebayo, T.S. (2021). Testing the EKC Hypothesis in Indonesia: Empirical Evidence from the ARDL-Based Bounds and Wavelet Coherence Approaches. Applied Economics Journal, 28(1), 1-23.
  • Ahmed, Z., Wang, Z., Mahmood, F., Hafeez, M., & Ali, N. (2019). Does globalization increase the ecological footprint? Empirical evidence from Malaysia. Environmental Science and Pollution Research, 26(18), 18565-18582.
  • Ajayi, T., Adebayo, T., & Awosusi, A. A. (2020). Dynamic Aid-Growth Relationship in Nigeria: A Two-Gap Approach. LAÜ Sosyal Bilimler Dergisi, 11(1), 1-17
  • Akinsola, G. D., & Adebayo, T. S. (2021). Investigating the Causal Linkage Among Economic Growth, Energy Consumption and CO 2 Emissions in Thailand: An Application of the Wavelet Coherence Approach. International Journal of Renewable Energy Development, 10(1).
  • Ali, A., Kamarulzaman, R., Soetrisno, F. K., & Razimi, M. S. A. (2020). Wavelet Analysis of Renewable, Non-renewable Energy Consumption and Environmental Degradation as a Precursor to Economic Growth: Evidence from Malaysia. International Journal of Energy Economics and Policy, 10(3), 182-189.
  • Ali, W., Abdullah, A., & Azam, M. (2016). The dynamic linkage between technological innovation and carbon dioxide emissions in Malaysia: an autoregressive distributed lagged bound approach. International Journal of Energy Economics and Policy, 6(3), 389-400.
  • Alola, A. A., & Kirikkaleli, D. (2019). The nexus of environmental quality with renewable consumption, immigration, and healthcare in the US: wavelet and gradual-shift causality approaches. Environmental Science and Pollution Research, 26(34), 35208-35217.
  • Arain, H., Sharif, A., Akbar, B., & Younis, M. Y. (2020). Dynamic connection between inward foreign direct investment, renewable energy, economic growth and carbon emission in China: evidence from partial and multiple wavelet coherence. Environmental Science and Pollution Research, 1-19.
  • Awosusi, A. A., & Adeshola, I., & Adebayo, T. S. (2020). Determinants of CO 2 Emissions in Emerging Markets: An Empirical Evidence from MINT Economies. International Journal of Renewable Energy Development, 9(3).
  • 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.
  • Batool, R., Sharif, A., Islam, T., Zaman, K., Shoukry, A. M., Sharkawy, M. A., ... & Hishan, S. S. (2019). Green is clean: the role of ICT in resource management. Environmental Science and Pollution Research, 26(24), 25341-25358.
  • Beton Kalmaz, D., & Adebayo, T. S. (2020). Ongoing Debate Between Foreign Aid and Economic Growth in Nigeria: A Wavelet Analysis. Social Science Quarterly, 101(5), 2032-2051.
  • Bulut, U. (2017). The impacts of non-renewable and renewable energy on CO 2 emissions in Turkey. Environmental Science and Pollution Research, 24(18), 15416-15426.
  • Cetin, M., Ecevit, E., & Yaprak Z. O. (2021a). Structural Breaks, Tourism and Co2 Emissions: The case of Turkey. International Journal of Ecological Economics and Statistics, 42 (3), 2021
  • Cetin, M., Ecevit, E., & Yucel, A. G. (2018). Structural breaks, urbanization and CO2 emissions: evidence from Turkey. J Appl Econ Bus Res, 8(2), 122-139.
  • Cetin, M., Ecevit, E., & Yucel, A. G. (2018b). The impact of economic growth, energy consumption, trade openness, and financial development on carbon emissions: empirical evidence from Turkey. Environmental Science and Pollution Research, 25(36), 36589-36603.
  • Destek, M. A., & Aslan, A. (2020). Disaggregated renewable energy consumption and environmental pollution nexus in G-7 countries. Renewable Energy, 151, 1298-1306.
  • Dong, K., Hochman, G., Zhang, Y., Sun, R., Li, H., & Liao, H. (2018a). CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions. Energy Economics, 75, 180-192.
  • Dong, K., Sun, R., & Dong, X. (2018). CO2 emissions, natural gas and renewables, economic growth: assessing the evidence from China. Science of the Total Environment, 640, 293-302.
  • Enerdata (2019). Global Energy Statistical Yearbook 2019.https://yearbook.enerdata.neEminer, F., Adebayo, T. S., & Awosusi, A. A. (2020). Stock Market-Growth Relationship in an Emerging Economy: Empirical Finding from ARDL-Based Bounds and Causality Approaches. Journal of Economics and Business, 3(2), 903-916.
  • Fan, H., & Hossain, M. I. (2018). Technological innovation, trade openness, CO2 emission and economic growth: comparative analysis between China and India. International Journal of Energy Economics and Policy, 8(6), 240.
  • Guan, J., Kirikkaleli, D., Bibi, A., & Zhang, W. (2020). Natural resources rents nexus with financial development in the presence of globalization: is the “resource curse” exist or myth? Resources Policy, 66, 101641.
  • Haseeb, M., Suryanto, T., Hartani, N. H., & Jermsittiparsert, K. (2020). Nexus Between Globalization, Income Inequality and Human Development in Indonesian Economy: Evidence from Application of Partial and Multiple Wavelet Coherence. Social Indicators Research, 147(3), 723-745.
  • Hashmi, R., & Alam, K. (2019). Dynamic relationship among environmental regulation, innovation, CO2 emissions, population, and economic growth in OECD countries: A panel investigation. Journal of cleaner production, 231, 1100-1109.
  • Kalmaz, D. B., & Kirikkaleli, D. (2019). Modeling CO 2 emissions in an emerging market: empirical finding from ARDL-based bounds and wavelet coherence approaches. Environmental Science and Pollution Research, 26(5), 5210-5220.
  • Khan, M. K., Teng, J. Z., Khan, M. I., & Khan, M. O. (2019). Impact of globalization, economic factors and energy consumption on CO2 emissions in Pakistan. Science of the total environment, 688, 424-436.
  • Khochiani, R., & Nademi, Y. (2020). Energy consumption, CO2 emissions, and economic growth in the United States, China, and India: A wavelet coherence approach. Energy & Environment, 31(5), 886-902.
  • Kirikkaleli, D. (2020). New insights into an old issue: exploring the nexus between economic growth and CO 2 emissions in China. Environmental Science and Pollution Research, 1-10.
  • Kondoz, M., Kirikkaleli, D., & Athari, S. A. (2021). Time-frequency dependencies of financial and economic risks in South American countries. The Quarterly Review of Economics and Finance, 79, 170-181.
  • Kristoufek, L. (2016). Power-law cross-correlations estimation under heavy tails. Communications in Nonlinear Science and Numerical Simulation, 40, 163-172.
  • Kuşkaya, S., & Bilgili, F. (2020). The wind energy-greenhouse gas nexus: The wavelet-partial wavelet coherence model approach. Journal of Cleaner Production, 245, 118872.
  • Lin, B., & Zhu, J. (2019). Determinants of renewable energy technological innovation in China under CO2 emissions constraint. Journal of environmental management, 247, 662-671.
  • Mishra, S., Sinha, A., Sharif, A., & Suki, N. M. (2019). Dynamic linkages between tourism, transportation, growth and carbon emission in the USA: evidence from partial and multiple wavelet coherence. Current Issues in Tourism, 1-23.
  • Onyibor, K., Bah, S. İ., & Tomiwa, A. (2018). Aid-Growth Relationship: Evidence from a Co-integration Analysis for the Five Poorest Countries of the World. LAÜ Sosyal Bilimler Dergisi, 9(2), 121-137.
  • Ozturk, S., Cetin, M., & Demir, H. (2021b). Income inequality and CO2 emissions: nonlinear evidence from Turkey. Environment, Development and Sustainability, 1-18.
  • Rafindadi, A. A., & Usman, O. (2019). Globalization, energy use, and environmental degradation in South Africa: Startling empirical evidence from the Maki-cointegration test. Journal of environmental management, 244, 265-275.
  • Rahman, M. M. (2020). Environmental degradation: The role of electricity consumption, economic growth and globalization. Journal of environmental management, 253, 109742.
  • Ramsey, J. B., & Lampart, C. (1998). The decomposition of economic relationships by time scale using wavelets: expenditure and income. Studies in Nonlinear Dynamics & Econometrics, 3(1).
  • Saint Akadiri, S., Alola, A. A., Olasehinde-Williams, G., & Etokakpan, M. U. (2020). The role of electricity consumption, globalization and economic growth in carbon dioxide emissions and its implications for environmental sustainability targets. Science of The Total Environment, 708, 134653.
  • Salahuddin, M., Habib, M. A., Al-Mulali, U., Ozturk, I., Marshall, M., & Ali, M. I. (2020). Renewable energy and environmental quality: A second-generation panel evidence from the Sub-Saharan Africa (SSA) countries. Environmental research, 191, 110094.
  • Shahbaz, M., Raghutla, C., Song, M., Zameer, H., & Jiao, Z. (2020). Public-private partnerships investment in energy as new determinant of CO2 emissions: the role of technological innovations in China. Energy Economics, 86, 104664.
  • Sharif, A., Mishra, S., Sinha, A., Jiao, Z., Shahbaz, M., & Afshan, S. (2020). The renewable energy consumption-environmental degradation nexus in Top-10 polluted countries: Fresh insights from quantile-on-quantile regression approach. Renewable Energy, 150, 670-690.
  • Si, D. K., Liu, X. H., & Kong, X. (2019). The co-movement and causality between stock market cycle and business cycle in China: Evidence from a wavelet analysis. Economic Modelling, 83, 17–30.
  • Soylu, Ö. B., Adebayo, T. S., & Kirikkaleli, D. (2021). The Imperativeness of Environmental Quality in China Amidst Renewable Energy Consumption and Trade Openness. Sustainability, 13(9), 5054.
  • Torrence, C., & Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological society, 79(1), 61-78.
  • Umar, M., Ji, X., Kirikkaleli, D., Shahbaz, M., & Zhou, X. (2020). Environmental cost of natural resources utilization and economic growth: Can China shift some burden through globalization for sustainable development? Sustainable Development.
  • Van Hoang, T. H., Shahzad, S. J. H., & Czudaj, R. L. (2020). Renewable energy consumption and industrial production: A disaggregated time-frequency analysis for the US. Energy Economics, 85, 104433.
  • Vonesch, C., Blu, T., & Unser, M. (2007). Generalized Daubechies wavelet families. IEEE Transactions on Signal Processing, 55(9), 4415-4429.
  • Wang, R., Mirza, N., Vasbieva, D. G., Abbas, Q., & Xiong, D. (2020). The nexus of carbon emissions, financial development, renewable energy consumption, and technological innovation: What should be the priorities in light of COP 21 Agreements? Journal of Environmental Management, 271, 111027.
  • Wang, S., Zeng, J., & Liu, X. (2019). Examining the multiple impacts of technological progress on CO2 emissions in China: a panel quantile regression approach. Renewable and Sustainable Energy Reviews, 103, 140-150.
  • World Bank (2018) World Development Indicators. http://data.worldbank.org/country
  • Wu, K., Zhu, J., Xu, M., & Yang, L. (2020). Can crude oil drive the co-movement in the international stock market? Evidence from partial wavelet coherence analysis. The North American Journal of Economics and Finance, 101194.
  • Yii, K. J., & Geetha, C. (2017). The nexus between technology innovation and CO2 emissions in Malaysia: evidence from granger causality test. Energy Procedia, 105, 3118-3124.
  • Yu, Y., & Du, Y. (2019). Impact of technological innovation on CO2 emissions and emissions trend prediction on ‘New Normal’ economy in China. Atmospheric Pollution Research, 10(1), 152-161.
  • Zafar, M. W., Saud, S., & Hou, F. (2019). The impact of globalization and financial development on environmental quality: evidence from selected countries in the Organization for Economic Co-operation and Development (OECD). Environmental science and pollution research, 26(13), 13246-13262.
  • Zivot, E., & Andrews, D. W. K. (2002). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of business & economic statistics, 20(1), 25-44.

Ekonomik Büyümenin, Teknolojik İnovasyonun ve Küreselleşmenin Gelişmekte Olan Bir Pazarda Çevresel Bozulmaya Etkisi

Year 2022, Volume: 7 Issue: 1, 211 - 225, 30.06.2022

Abstract

Bu güncel çalışma, küreselleşmenin, teknolojik yeniliğin, ekonomik büyümenin Güney Afrika'daki çevresel bozulma üzerindeki dinamik etkisinin, yenilikçi analizler kullanılarak araştırılmıştır. Bu araştırma, 1980 ve 2017 yılları arasındaki zaman serisi veriler icin dalgacık tabanlı teknikler uygulamıştır. Ampirik sonuçlar, CO2 emisyonu (CO2E) ile teknolojik yenilik, ekonomik büyüme ve küreselleşme arasında bir ilişki olduğunu kanıtlamaktadır. Ampirik bulgular, teknolojik yeniliğin, küreselleşmenin ve ekonomik büyümenin kısa ve orta vadede Güney Afrika'daki çevresel kaliteyi azalttığını göstermektedir. Ayrıca, Güney Afrika'da on yıllardır meydana gelen çevresel bozulmayı önlemek için yöneticiler tarafından koordine edilmiş politikalara sahip olmanın önemini vurgulamaktadır.

References

  • Adams, S., & Nsiah, C. (2019). Reducing carbon dioxide emissions; Does renewable energy matter? Science of The Total Environment, 693, 133288.
  • Adebayo, T. S. (2020). New Insights into Export-growth Nexus: Wavelet and Causality Approaches. Asian Journal of Economics, Business and Accounting, 32-44.
  • Adebayo, T. S. (2020a). Dynamic Relationship between Oil Price and Inflation in Oil Exporting Economy: Empirical Evidence from Wavelet Coherence Technique. Energy Economics Letters, 7(1), 12-22.
  • Adebayo, T.S. (2021). Testing the EKC Hypothesis in Indonesia: Empirical Evidence from the ARDL-Based Bounds and Wavelet Coherence Approaches. Applied Economics Journal, 28(1), 1-23.
  • Ahmed, Z., Wang, Z., Mahmood, F., Hafeez, M., & Ali, N. (2019). Does globalization increase the ecological footprint? Empirical evidence from Malaysia. Environmental Science and Pollution Research, 26(18), 18565-18582.
  • Ajayi, T., Adebayo, T., & Awosusi, A. A. (2020). Dynamic Aid-Growth Relationship in Nigeria: A Two-Gap Approach. LAÜ Sosyal Bilimler Dergisi, 11(1), 1-17
  • Akinsola, G. D., & Adebayo, T. S. (2021). Investigating the Causal Linkage Among Economic Growth, Energy Consumption and CO 2 Emissions in Thailand: An Application of the Wavelet Coherence Approach. International Journal of Renewable Energy Development, 10(1).
  • Ali, A., Kamarulzaman, R., Soetrisno, F. K., & Razimi, M. S. A. (2020). Wavelet Analysis of Renewable, Non-renewable Energy Consumption and Environmental Degradation as a Precursor to Economic Growth: Evidence from Malaysia. International Journal of Energy Economics and Policy, 10(3), 182-189.
  • Ali, W., Abdullah, A., & Azam, M. (2016). The dynamic linkage between technological innovation and carbon dioxide emissions in Malaysia: an autoregressive distributed lagged bound approach. International Journal of Energy Economics and Policy, 6(3), 389-400.
  • Alola, A. A., & Kirikkaleli, D. (2019). The nexus of environmental quality with renewable consumption, immigration, and healthcare in the US: wavelet and gradual-shift causality approaches. Environmental Science and Pollution Research, 26(34), 35208-35217.
  • Arain, H., Sharif, A., Akbar, B., & Younis, M. Y. (2020). Dynamic connection between inward foreign direct investment, renewable energy, economic growth and carbon emission in China: evidence from partial and multiple wavelet coherence. Environmental Science and Pollution Research, 1-19.
  • Awosusi, A. A., & Adeshola, I., & Adebayo, T. S. (2020). Determinants of CO 2 Emissions in Emerging Markets: An Empirical Evidence from MINT Economies. International Journal of Renewable Energy Development, 9(3).
  • 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.
  • Batool, R., Sharif, A., Islam, T., Zaman, K., Shoukry, A. M., Sharkawy, M. A., ... & Hishan, S. S. (2019). Green is clean: the role of ICT in resource management. Environmental Science and Pollution Research, 26(24), 25341-25358.
  • Beton Kalmaz, D., & Adebayo, T. S. (2020). Ongoing Debate Between Foreign Aid and Economic Growth in Nigeria: A Wavelet Analysis. Social Science Quarterly, 101(5), 2032-2051.
  • Bulut, U. (2017). The impacts of non-renewable and renewable energy on CO 2 emissions in Turkey. Environmental Science and Pollution Research, 24(18), 15416-15426.
  • Cetin, M., Ecevit, E., & Yaprak Z. O. (2021a). Structural Breaks, Tourism and Co2 Emissions: The case of Turkey. International Journal of Ecological Economics and Statistics, 42 (3), 2021
  • Cetin, M., Ecevit, E., & Yucel, A. G. (2018). Structural breaks, urbanization and CO2 emissions: evidence from Turkey. J Appl Econ Bus Res, 8(2), 122-139.
  • Cetin, M., Ecevit, E., & Yucel, A. G. (2018b). The impact of economic growth, energy consumption, trade openness, and financial development on carbon emissions: empirical evidence from Turkey. Environmental Science and Pollution Research, 25(36), 36589-36603.
  • Destek, M. A., & Aslan, A. (2020). Disaggregated renewable energy consumption and environmental pollution nexus in G-7 countries. Renewable Energy, 151, 1298-1306.
  • Dong, K., Hochman, G., Zhang, Y., Sun, R., Li, H., & Liao, H. (2018a). CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions. Energy Economics, 75, 180-192.
  • Dong, K., Sun, R., & Dong, X. (2018). CO2 emissions, natural gas and renewables, economic growth: assessing the evidence from China. Science of the Total Environment, 640, 293-302.
  • Enerdata (2019). Global Energy Statistical Yearbook 2019.https://yearbook.enerdata.neEminer, F., Adebayo, T. S., & Awosusi, A. A. (2020). Stock Market-Growth Relationship in an Emerging Economy: Empirical Finding from ARDL-Based Bounds and Causality Approaches. Journal of Economics and Business, 3(2), 903-916.
  • Fan, H., & Hossain, M. I. (2018). Technological innovation, trade openness, CO2 emission and economic growth: comparative analysis between China and India. International Journal of Energy Economics and Policy, 8(6), 240.
  • Guan, J., Kirikkaleli, D., Bibi, A., & Zhang, W. (2020). Natural resources rents nexus with financial development in the presence of globalization: is the “resource curse” exist or myth? Resources Policy, 66, 101641.
  • Haseeb, M., Suryanto, T., Hartani, N. H., & Jermsittiparsert, K. (2020). Nexus Between Globalization, Income Inequality and Human Development in Indonesian Economy: Evidence from Application of Partial and Multiple Wavelet Coherence. Social Indicators Research, 147(3), 723-745.
  • Hashmi, R., & Alam, K. (2019). Dynamic relationship among environmental regulation, innovation, CO2 emissions, population, and economic growth in OECD countries: A panel investigation. Journal of cleaner production, 231, 1100-1109.
  • Kalmaz, D. B., & Kirikkaleli, D. (2019). Modeling CO 2 emissions in an emerging market: empirical finding from ARDL-based bounds and wavelet coherence approaches. Environmental Science and Pollution Research, 26(5), 5210-5220.
  • Khan, M. K., Teng, J. Z., Khan, M. I., & Khan, M. O. (2019). Impact of globalization, economic factors and energy consumption on CO2 emissions in Pakistan. Science of the total environment, 688, 424-436.
  • Khochiani, R., & Nademi, Y. (2020). Energy consumption, CO2 emissions, and economic growth in the United States, China, and India: A wavelet coherence approach. Energy & Environment, 31(5), 886-902.
  • Kirikkaleli, D. (2020). New insights into an old issue: exploring the nexus between economic growth and CO 2 emissions in China. Environmental Science and Pollution Research, 1-10.
  • Kondoz, M., Kirikkaleli, D., & Athari, S. A. (2021). Time-frequency dependencies of financial and economic risks in South American countries. The Quarterly Review of Economics and Finance, 79, 170-181.
  • Kristoufek, L. (2016). Power-law cross-correlations estimation under heavy tails. Communications in Nonlinear Science and Numerical Simulation, 40, 163-172.
  • Kuşkaya, S., & Bilgili, F. (2020). The wind energy-greenhouse gas nexus: The wavelet-partial wavelet coherence model approach. Journal of Cleaner Production, 245, 118872.
  • Lin, B., & Zhu, J. (2019). Determinants of renewable energy technological innovation in China under CO2 emissions constraint. Journal of environmental management, 247, 662-671.
  • Mishra, S., Sinha, A., Sharif, A., & Suki, N. M. (2019). Dynamic linkages between tourism, transportation, growth and carbon emission in the USA: evidence from partial and multiple wavelet coherence. Current Issues in Tourism, 1-23.
  • Onyibor, K., Bah, S. İ., & Tomiwa, A. (2018). Aid-Growth Relationship: Evidence from a Co-integration Analysis for the Five Poorest Countries of the World. LAÜ Sosyal Bilimler Dergisi, 9(2), 121-137.
  • Ozturk, S., Cetin, M., & Demir, H. (2021b). Income inequality and CO2 emissions: nonlinear evidence from Turkey. Environment, Development and Sustainability, 1-18.
  • Rafindadi, A. A., & Usman, O. (2019). Globalization, energy use, and environmental degradation in South Africa: Startling empirical evidence from the Maki-cointegration test. Journal of environmental management, 244, 265-275.
  • Rahman, M. M. (2020). Environmental degradation: The role of electricity consumption, economic growth and globalization. Journal of environmental management, 253, 109742.
  • Ramsey, J. B., & Lampart, C. (1998). The decomposition of economic relationships by time scale using wavelets: expenditure and income. Studies in Nonlinear Dynamics & Econometrics, 3(1).
  • Saint Akadiri, S., Alola, A. A., Olasehinde-Williams, G., & Etokakpan, M. U. (2020). The role of electricity consumption, globalization and economic growth in carbon dioxide emissions and its implications for environmental sustainability targets. Science of The Total Environment, 708, 134653.
  • Salahuddin, M., Habib, M. A., Al-Mulali, U., Ozturk, I., Marshall, M., & Ali, M. I. (2020). Renewable energy and environmental quality: A second-generation panel evidence from the Sub-Saharan Africa (SSA) countries. Environmental research, 191, 110094.
  • Shahbaz, M., Raghutla, C., Song, M., Zameer, H., & Jiao, Z. (2020). Public-private partnerships investment in energy as new determinant of CO2 emissions: the role of technological innovations in China. Energy Economics, 86, 104664.
  • Sharif, A., Mishra, S., Sinha, A., Jiao, Z., Shahbaz, M., & Afshan, S. (2020). The renewable energy consumption-environmental degradation nexus in Top-10 polluted countries: Fresh insights from quantile-on-quantile regression approach. Renewable Energy, 150, 670-690.
  • Si, D. K., Liu, X. H., & Kong, X. (2019). The co-movement and causality between stock market cycle and business cycle in China: Evidence from a wavelet analysis. Economic Modelling, 83, 17–30.
  • Soylu, Ö. B., Adebayo, T. S., & Kirikkaleli, D. (2021). The Imperativeness of Environmental Quality in China Amidst Renewable Energy Consumption and Trade Openness. Sustainability, 13(9), 5054.
  • Torrence, C., & Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological society, 79(1), 61-78.
  • Umar, M., Ji, X., Kirikkaleli, D., Shahbaz, M., & Zhou, X. (2020). Environmental cost of natural resources utilization and economic growth: Can China shift some burden through globalization for sustainable development? Sustainable Development.
  • Van Hoang, T. H., Shahzad, S. J. H., & Czudaj, R. L. (2020). Renewable energy consumption and industrial production: A disaggregated time-frequency analysis for the US. Energy Economics, 85, 104433.
  • Vonesch, C., Blu, T., & Unser, M. (2007). Generalized Daubechies wavelet families. IEEE Transactions on Signal Processing, 55(9), 4415-4429.
  • Wang, R., Mirza, N., Vasbieva, D. G., Abbas, Q., & Xiong, D. (2020). The nexus of carbon emissions, financial development, renewable energy consumption, and technological innovation: What should be the priorities in light of COP 21 Agreements? Journal of Environmental Management, 271, 111027.
  • Wang, S., Zeng, J., & Liu, X. (2019). Examining the multiple impacts of technological progress on CO2 emissions in China: a panel quantile regression approach. Renewable and Sustainable Energy Reviews, 103, 140-150.
  • World Bank (2018) World Development Indicators. http://data.worldbank.org/country
  • Wu, K., Zhu, J., Xu, M., & Yang, L. (2020). Can crude oil drive the co-movement in the international stock market? Evidence from partial wavelet coherence analysis. The North American Journal of Economics and Finance, 101194.
  • Yii, K. J., & Geetha, C. (2017). The nexus between technology innovation and CO2 emissions in Malaysia: evidence from granger causality test. Energy Procedia, 105, 3118-3124.
  • Yu, Y., & Du, Y. (2019). Impact of technological innovation on CO2 emissions and emissions trend prediction on ‘New Normal’ economy in China. Atmospheric Pollution Research, 10(1), 152-161.
  • Zafar, M. W., Saud, S., & Hou, F. (2019). The impact of globalization and financial development on environmental quality: evidence from selected countries in the Organization for Economic Co-operation and Development (OECD). Environmental science and pollution research, 26(13), 13246-13262.
  • Zivot, E., & Andrews, D. W. K. (2002). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of business & economic statistics, 20(1), 25-44.
There are 59 citations in total.

Details

Primary Language English
Subjects Environment and Culture, Economics
Journal Section Research Article
Authors

Derviş Kırıkkaleli 0000-0001-5733-5045

Tomiwa Adebayo 0000-0003-0094-1778

Mehmet Kondoz 0000-0001-9312-0148

Publication Date June 30, 2022
Published in Issue Year 2022 Volume: 7 Issue: 1

Cite

APA Kırıkkaleli, D., Adebayo, T., & Kondoz, M. (2022). Impact of Economic Growth, Technological Innovation, and Globalization on Environmental Degradation in an Emerging Market. JOEEP: Journal of Emerging Economies and Policy, 7(1), 211-225.

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