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Does Economic Complexity Influence Carbon Emissions? Evidence from Next Eleven Countries

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  • Osinubi Tolulope Temilola

    (Department of Economics, Obafemi Awolowo University, Ile-Ife, Nigeria)

Abstract

Research Purpose The study examines the effect of economic complexity on carbon dioxide emissions in the Next 11 countries with the view to validate or refute the economic complexity-Kuznets curve (EcKC) between 1995 and 2019. The Next 11 countries include Bangladesh, Egypt, Indonesia, Iran, Mexico, Nigeria, Pakistan, Philippines, South Korea, Turkey, and Vietnam. Design/Methodology/Approach Two econometric methods, correlated Panel standard error (PCSE) and feasible generalized least squares (FGLS) estimating techniques, are used to achieve the objectives of the study. Findings The estimates from the FGLS approach are consistent with that of the PCSE approach. The results from both techniques show that economic complexity increases carbon emissions in the Next 11 countries. Also, from the EcKC, the study invalidates the hypothesis and supports a positive monotonic linear relationship between economic complexity and carbon emissions, which also means the “pollution haven hypothesis”. Originality/Value/Practical Implications The study examines whether the environmental Kuznets curve (EKC) in the Next 11 countries is valid or not. To do this, the current study is different from earlier studies in that it uses economic complexity—that is, the economic complexity-Kuznets Curve (ECKC)—instead of GDP. This is explained by the fact that environmental issues should involve the development of more advanced commodities rather than just raising an economy's GDP productivity. And most of the countries in the Next 11 countries are currently shifting their economies to produce more complex goods.

Suggested Citation

  • Osinubi Tolulope Temilola, 2024. "Does Economic Complexity Influence Carbon Emissions? Evidence from Next Eleven Countries," Economics and Culture, Sciendo, vol. 21(1), pages 64-76.
  • Handle: RePEc:vrs:ecocul:v:21:y:2024:i:1:p:64-76:n:1005
    DOI: 10.2478/jec-2024-0005
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    References listed on IDEAS

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    1. Tolulope T. Osinubi & Folorunsho M. Ajide, 2022. "Foreign direct investment and economic complexity in emerging economies," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 14(2), pages 245-256.
    2. Yıldırım, Ertugrul & Sukruoglu, Deniz & Aslan, Alper, 2014. "Energy consumption and economic growth in the next 11 countries: The bootstrapped autoregressive metric causality approach," Energy Economics, Elsevier, vol. 44(C), pages 14-21.
    3. Tolulope T. Osinubi & Folorunsho M. Ajide, 2022. "Foreign direct investment and economic complexity in emerging economies," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 14(2), pages 259-270.
    4. Jiangling Yu & Feng Ju & Muhammad Wahab & Ephraim Bonah Agyekum & Clement Matasane & Solomon Eghosa Uhunamure, 2022. "Estimating the Effects of Economic Complexity and Technological Innovations on CO 2 Emissions: Policy Instruments for N-11 Countries," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    5. Nguyen, Kim Hanh & Kakinaka, Makoto, 2019. "Renewable energy consumption, carbon emissions, and development stages: Some evidence from panel cointegration analysis," Renewable Energy, Elsevier, vol. 132(C), pages 1049-1057.
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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth

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