Economic complexity and environmental sustainability in eastern European economy: Evidence from novel Fourier approach

Kirikkaleli, Dervis; Sofuoğlu, Emrah; Abbasi, Kashif Raza; Addai, Kwaku

doi:10.1016/j.regsus.2023.08.003

Cited by 8 publications

(7 citation statements)

References 61 publications

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“…The topic of economic growth and environmental quality appears frequently in the literature, to determine whether or not the environmental Kuznets hypothesis (EKC) is valid. While some studies (Balsalobre-Lorente et al, 2023;Can & Gozgor, 2017;Kılıç et al, 2023;Kirikkaleli et al, 2023;Neagu, 2019;Satrovic & Adedoyin, 2022) accepted the hypothesis, others which include Gill et al (2018), Laverde-Rojas et al (2021), Xu (2018), andZoundi (2017), rejected the hypothesis. The gross domestic product (GDP) was utilised as a proxy for economic growth in the majority of research that examined the EKC hypothesis.…”

Section: Empirical Reviewmentioning

confidence: 98%

“…This finding suggests that nations with high ECI are likely to invest consistently more in cleaner technologies since they are concerned about their high non-renewable energy consumption. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Average CO2 emissions Year In Turkey, Kirikkaleli et al (2023) argued that economic complexity reduces environmental quality with different methods of estimation. Also, Shahbaz et al (2016) revealed that economic complexity spurs ecological footprint in the United States.…”

Section: Empirical Reviewmentioning

confidence: 99%

“…Empirical research has demonstrated that environmental deterioration can be exacerbated (Dogan et al, 2019;Neagu & Teodoru, 2019) or decreased (Kirikkaleli et al, 2023;Lee & Olasehinde-Williams, 2022;Yu et al, 2022;Boleti et al, 2021;Can & Gozgor, 2017) by economic complexity. The variant in the results enables us to examine how economic complexity will affect environmental degradation (carbon emissions) in the Next 11 countries.…”

Section: Introductionmentioning

confidence: 99%

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

Osinubi

2024

Economics and Culture

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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.

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Section: Empirical Reviewmentioning

confidence: 98%

Section: Empirical Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Osinubi

2024

Economics and Culture

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“…Energy consumption changes from 2157 million barrels in 2025 to 1975 from 5% energy intensity reduction scenario and 1867 million barrels from 10%. Still, the results show that Iran will be largely charged with increased CO2 emissions and energy production, and energy consumption will increase faster than energy production, which will foster more CO2 emissions (Mirzaei & Bekri 2017), (Zhao et al 2022), (Kirikkaleli et al 2023).…”

Section: System Dynamics Modelsmentioning

confidence: 99%

Sustainable innovative technology solutions for the energy sector

Bazienė,

Gargasas

2023

JESI

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Innovation is a process by which new ideas, technologies, or developments from different fields are turned into abilities, implemented in the market, and can be reached by any person in the world. That is also called technology-based innovation. Primarily, an innovative product means a product that encourages the establishment of new niches for the market or is significantly different from past products. At the same time, innovative products can be reached without changing the product's principal technological scheme but by improving the quality of the product. For now, Europe still needs to provide itself with energy resources fully. It imports 60.3% of gas, 41.2% of solid fuels, and 82.6% of oil. Still, for example, a World oil production peak could occur in the next ten to fifteen years if it has not already happened, and decisions to be made soon will have a significant impact on our quality of life over the coming decades. The need for energy is divided into sectors like industrial, power generation, transportation, domestic, and commercial, and it generates emissions in the air. Researchers try to foresee the right actions through different calculations, models, analyses, monitoring, policy research, and exploration of various acts from society, economy, and available technologies. This work aims to create a system dynamics model that can capture the dynamics of innovative energy technology development and its impact on the production, distribution, and demand side of the energy system. The focus of the model is on renewable energy technologies, distributed generation and storage systems, and smart energy systems that help to reduce the carbon intensity of the energy supply. A posed hypothesis of the work is that in the future, more and more requests will be for renewable energy sources. As demand increases, the energy cost will reduce, creating a more considerable source demand. Households could be as well as energy consumers as producers. Due to the vital role of energy in manufacturing, saving energy should be included as an essential element of production plans, especially for manufacturing plants that are energy-intensive. To predict the possibilities, of what can reduce impact on the environment, different analyses should be done to reach a concrete action plan that is directed to energy sustainability. A system dynamics model that can capture the dynamics of innovative energy technology development and its impact on the production, distribution, and demand side of the energy system. The focus of the model is on renewable energy technologies, distributed generation and storage systems, and smart energy systems that help to reduce the carbon intensity of the energy supply. Afterwards, the model can be used for testing in different countries.

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“…Kirikkaleli et al [44] examined the 10 most complicated economies in the world from 1998 to 2017 and how electricity usage and the ECI affected them. Panel auto-regressive distributed lag and a panel vector error correction model that fully modified ordinary least squares were used.…”

Section: Economic Complexity and Environmental Pollutionmentioning

confidence: 99%

Analyzing the Influence of Energy Consumption and Economic Complexity on Carbon Emissions: Evidence from Malaysia

Afroz,

Alofaysan,

Sarabdeen

et al. 2024

Energies

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Due to increasing energy consumption, there has been a significant expansion in worldwide trade, leading to the emergence of severe environmental issues. This situation is further compounded by the non-negotiable requirement to simultaneously mitigate environmental degradation and achieve economic progress. To ensure a healthier future, it is imperative to identify and address the factors that contribute to environmental contamination. The purpose of this study is to examine how Malaysia’s carbon dioxide (CO2) emissions are affected by energy consumption, economic growth, and the economic complexity index (ECI). Time series data from 1997 to 2020 are used in this study, along with the autoregressive distributed lag model. The environmental Kuznets curve theory holds true in Malaysia, according to the study’s findings, and energy use has a negative impact on CO2 emissions. There is also evidence suggesting that a higher ECI is linked with increased levels of CO2 emissions over a prolonged period. Malaysia’s main export, electrical and electronic goods, generates substantial CO2 emissions during the manufacturing process. The outcomes of this research have important ramifications for environmental strategies concerning the mitigation of CO2 emissions. The electrical and electronics industries can implement energy-efficient technologies and practices in manufacturing processes. This would include upgrading to more efficient machinery, optimizing production schedules, and reducing idle times. It is also crucial to work with governments and industry bodies to advocate for policies that support sustainable manufacturing practices.

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Economic complexity and environmental sustainability in eastern European economy: Evidence from novel Fourier approach

Cited by 8 publications

References 61 publications

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

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

Sustainable innovative technology solutions for the energy sector

Analyzing the Influence of Energy Consumption and Economic Complexity on Carbon Emissions: Evidence from Malaysia

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