Investigating the association among CO2 emissions, renewable and non-renewable energy consumption in Uzbekistan: an ARDL approach

Apergis, Nicholas; Kuziboev, Bekhzod; Abdullaev, Ilyos; Rajabov, Alibek

doi:10.1007/s11356-022-25023-z

Cited by 50 publications

(28 citation statements)

References 34 publications

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“…Renewable energy offers significant economic advantages, such as increased energy access, enhanced energy security and the exploitation of local renewable resources, as well as lowering GHGs. This is consistent with the apriori expectation proposed in this research and with the studies of (Adebayo et al, 2023;Apergis et al, 2023;Awosusi et al, 2023;Gangopadhyay et al, 2023;Shabbir Alam et al, 2023).…”

Section: Qq Results and Discussionsupporting

confidence: 93%

“…Abdul et al (2022) suggested that RENC is required to safeguard China's energy independence. In recent studies, Apergis et al (2023) for Uzbekistan, Bakry et al (2023) for 76 developing countries, Balsalobre‐Lorente et al (2023) for BRICS, Raihan (2023) for the Philippines and Raihan and Tuspekova (2023) for New Zealand, confirmed a negative relationship. Wu et al (2023) found an adverse link for Nordic countries, except for Iceland, where a positive relationship was ascertained.…”

Section: Literature Reviewmentioning

confidence: 90%

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Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO₂ emissions: A Quantile–on–Quantile technique

Somoye,

Seraj,

Ozdeser

et al. 2024

Geological Journal

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As Nigeria progresses towards reaching net‐zero emissions by 2060, it is crucial to identify the factors responsible for environmental deterioration and those that enhance ecological well‐being. It is equally significant to emphasize that Nigeria's economy is heavily dependent on fossil fuels, which have proven unsustainable and environmentally unsafe. As a result, this research investigates the impact of energy intensity (EINT), renewable energy consumption (RENC), globalization (GLOX), technological innovation (TINV) and carbon dioxide emissions (CO2) in Nigeria from 1990Q1–2019Q4. The methods employed include Quantile–on–Quantile (QQ) and non–parametric causality. The QQ method reveals that EINT has both positive and negative impacts on CO2, varying in magnitude from 3 to −5. Higher quantiles of RENC tend to influence CO2 positively, whereas the lower quantile has a negative impact. Negative shocks of GLOX on CO2 have less impact, with a maximum magnitude of −1 at the upper quantile of CO2. In contrast, the positive shocks seem to have a stronger impact and vary in magnitude. TINV has negative shocks across all quantiles. In addition, a significant causality is observed in the upper, middle and lower quantiles. This study suggests that policymakers should implement policies encouraging investments in renewable energy and green technologies.

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Section: Qq Results and Discussionsupporting

confidence: 93%

Section: Literature Reviewmentioning

confidence: 90%

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO₂ emissions: A Quantile–on–Quantile technique

Somoye,

Seraj,

Ozdeser

et al. 2024

Geological Journal

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“…

is GDP squared.

is REC captured in terawatt-hours (TWh) per year [ 60 ].

is LCF, captured as biocapacity/EF [ 33 ].…”

Section: Methodology and Data Sourcesmentioning

confidence: 99%

Impact of banking development and renewable energy consumption on environmental sustainability in Germany: Novel findings using the bootstrap ARDL approach

Wang,

Sarwar,

Haseeb

et al. 2023

Heliyon

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“…This is referred to as a socioeconomic drought [58,62]. In fact, Uzbekistan has the biggest proportion of irrigated land in the entire area vulnerable to drought risk [63]. In the SSP3 long-term scenario, 63.1 percent of the country's irrigated agriculture-which makes up 68% of the overall cropland in the region-is vulnerable to drought [10].…”

Section: Co 2 -Water Nexusmentioning

confidence: 99%

The Nexus between Agriculture, Water, Energy and Environmental Degradation in Central Asia—Empirical Evidence Using Panel Data Models

et al. 2023

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The primary aspiration of this paper is to learn about the effects of economic growth, energy consumption, agriculture and irrigation water consumption and agriculture productivity on environmental pollution in five countries of Central Asia. The data cover the period from 1992 to 2020 by applying panel data models, namely the Panel FMOLS, Panel DOLS and Panel ARDL-PMG approaches. The results indicate that there is a positive long-term impact of economic growth, water productivity, energy consumption and electricity production on CO2 emissions while agriculture value added and trade openness have a negative and statistically significant influence on CO2 emissions in Central Asia. Country specific short-run coefficients from Panel ARDL reveal that energy consumption is the main driver for rise in the level of CO2 emissions in the countries under the study. Indeed, country level analysis generates unique nexus correlation among agriculture, energy and environmental degradation in each country of Central Asia.

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Investigating the association among CO2 emissions, renewable and non-renewable energy consumption in Uzbekistan: an ARDL approach

Cited by 50 publications

References 34 publications

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO₂ emissions: A Quantile–on–Quantile technique

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO₂ emissions: A Quantile–on–Quantile technique

Impact of banking development and renewable energy consumption on environmental sustainability in Germany: Novel findings using the bootstrap ARDL approach

The Nexus between Agriculture, Water, Energy and Environmental Degradation in Central Asia—Empirical Evidence Using Panel Data Models

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Investigating the association among CO2 emissions, renewable and non-renewable energy consumption in Uzbekistan: an ARDL approach

Cited by 50 publications

References 34 publications

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO2 emissions: A Quantile–on–Quantile technique

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO2 emissions: A Quantile–on–Quantile technique

Impact of banking development and renewable energy consumption on environmental sustainability in Germany: Novel findings using the bootstrap ARDL approach

The Nexus between Agriculture, Water, Energy and Environmental Degradation in Central Asia—Empirical Evidence Using Panel Data Models

Contact Info

Product

Resources

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Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO₂ emissions: A Quantile–on–Quantile technique

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO₂ emissions: A Quantile–on–Quantile technique