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Environment Development and Sustainability
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://dx.doi.org/10.60692/hg...
Other literature type . 2024
Data sources: Datacite
https://dx.doi.org/10.60692/35...
Other literature type . 2024
Data sources: Datacite
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Analysing the nexus between clean energy expansion, natural resource extraction, and load capacity factor in China: a step towards achieving COP27 targets

تحليل العلاقة بين التوسع في الطاقة النظيفة واستخراج الموارد الطبيعية وعامل الحمولة في الصين: خطوة نحو تحقيق أهداف الدورة السابعة والعشرين لمؤتمر الأطراف
Authors: Ojonugwa Usman; Oktay Özkan; Ibrahim Adeshola; Babatunde Sunday Eweade;

Analysing the nexus between clean energy expansion, natural resource extraction, and load capacity factor in China: a step towards achieving COP27 targets

Abstract

AbstractThe excessive use of non-renewable energy in 21st-century economic growth has continued to hurt the environment by accumulating carbon dioxide and other greenhouse gases. However, promoting environmental sustainability requires expanding clean energy utilisation. In this study, we examine the effects of clean energy expansion and natural resource extraction on load capacity factor (LCF) in China from 1970 to 2018. Using the dynamic autoregressive distributed lag simulations approach, we extend the standard load capacity curve (LCC) hypothesis by incorporating clean energy expansion and natural resource extraction as main determinants of the LCF. The empirical outcomes reveal that economic expansion is, although positively associated with the LCF, but its squared term degrades the LCF. This confirms that the LCC hypothesis is not valid for China. Moreover, while clean energy expansion has a positive effect on the LCF, the effect of natural resource extraction is negative. These effects are stronger and statistically significant only in the long run. Therefore, this study highlights the potentials for a sustainable decarbonized economy in China by investing not only in clean energy sources but also efficiently use the available natural resources in the country.

Country
Turkey
Keywords

Economics and Econometrics, Renewable energy, China, Environmental Engineering, Economics, Environmental economics, Resource (disambiguation), Social Sciences, China, Load capacity curve hypothesis, Clean energy consumption, Natural resources extraction, Dynamic ARDL simulations, Economic Impact of Environmental Policies and Resources, Energy Consumption, Natural resource, Greenhouse gas, Environmental science, Engineering, Natural resource economics, Life Cycle Assessment and Environmental Impact Analysis, Non-renewable resource, Embedded system, Rebound Effect on Energy Efficiency and Consumption, Biology, Computer network, Energy, Ecology, Geography, Renewable Energy, Sustainability and the Environment, FOS: Environmental engineering, Computer science, Economics, Econometrics and Finance, Sustainability, Archaeology, FOS: Biological sciences, Electrical engineering, Physical Sciences, Environmental Science, Clean energy, Nexus (standard)

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    23
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Average
Average
Top 10%
Green
hybrid