The relationship between energy consumption, economic growth, and CO2 emissions in China: the role of urbanisation and international trade

Kongkuah, Maxwell; Yao, Hongxing; Yılancı, Veli

doi:10.1007/s10668-021-01628-1

Cited by 85 publications

(18 citation statements)

References 55 publications

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“…The increase in urban population brings an agglomeration effect and improves production efficiency and energy utilisation efficiency, which helps reduce CO 2 emissions. Similar results have been found in case studies of China [ 77 , 78 ], while in some other countries, in South America and South Asia in particular, urbanisation brings about an increase in CO 2 emissions [ 79 , 80 ]. How to coordinate the relationship between industrial transfer and population urbanisation is worth further discussion in the future.…”

Section: Resultssupporting

confidence: 84%

Does Industrial Transfer Change the Spatial Structure of CO2 Emissions?—Evidence from Beijing-Tianjin-Hebei Region in China

Yue

Zhu

Yao

2021

IJERPH

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As an important cause of global warming, CO2 emissions have become a research hotspot in recent years. Industrial transfer impacts regional CO2 emissions and is related to the low-carbon development of regional industries. Taking the Beijing-Tianjin-Hebei region (BTH region) as an example, this study analysed industrial transfer’s direct and indirect impacts on CO2 emissions based on a mediating model and two-way fixed effect panel regression. The results obtained indicate that industrial transfer-in has promoted CO2 emissions to a small extent, and the positive impact of industrial transfer-in on CO2 emissions wanes over time. Industrial transfer affects CO2 emissions by acting on the economic level, on population size, and on urbanisation level, but the indirect effect is weaker than the direct effect. Industrial transfer does not lead to technological upgrading, but the latter is an effective means of carbon emission reduction. Industrial transfer-in has shown a positive effect on CO2 emissions for most cities, but there are exceptions, such as Cangzhou. In the future, the BTH region should maintain coordinated development among cities and improve the cooperative innovation mechanism for energy conservation and emission reduction.

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Section: Resultssupporting

confidence: 84%

Does Industrial Transfer Change the Spatial Structure of CO2 Emissions?—Evidence from Beijing-Tianjin-Hebei Region in China

Yue

Zhu

Yao

2021

IJERPH

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“…For this purpose, we construct an econometric model that regards the amount of CO 2 emissions as the explained variable and natural disasters as the core explained variable. Then, following the works of Dong et al ( 2019 ), Kasman and Duman ( 2015 ), Kongkuah et al ( 2021 ), Li et al ( 2017 ), Shahbaz et al ( 2013 , 2017 ), and Wu et al ( 2021 ), we select three factors, namely, economic development, the urbanization level, and trade openness, as the main control variables in our model. Furthermore, to examine the validity of the environmental Kuznets curve (EKC) hypothesis, we introduce the square term of economic development into the CO 2 emissions function.…”

Section: Empirical Model and Data Descriptionmentioning

confidence: 99%

How natural disasters affect carbon emissions: the global case

et al. 2022

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The outbreak of the COVID-19 pandemic has once again made the impacts of natural disasters a hot topic in academia. The environmental impacts of natural disasters, however, remain unsettled in the existing literature. This study aims to investigate the impact of natural disasters on CO 2 emissions. For this purpose, we employ a panel dataset covering 138 countries over the period 1990–2018 and two dynamic panel estimation methods. Then, considering the differences in CO 2 emissions across various countries, we run a panel quantile regression to examine the asymmetry in the nexus between natural disasters and CO 2 emissions. We also discuss the mediating effects of energy consumption between natural disasters and CO 2 emissions. After conducting a series of robustness checks, we confirm that our results are stable and convincing. The empirical results indicate that natural disasters significantly reduce CO 2 emissions. Nevertheless, the impact of natural disasters on CO 2 emissions is asymmetric across different quantiles of CO 2 emissions. Furthermore, the technology level serves as an important moderating factor between natural disasters and CO 2 emissions. The mediating effect results reveal that natural disasters not only directly reduce CO 2 emissions but also indirectly promote carbon reduction by restraining energy consumption. Finally, several policy implications are provided to reduce CO 2 emissions and the damage caused by natural disasters.

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“…The increasing number of economic activities across different countries, as well as changes in environmental quality, have prompted debates about the impact of trade on the environment. Like other factors, various researchers have found that economic growth positively affects CO 2 emissions (Kongkuah et al, 2022;Mujtaba et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Does institutional quality matter for environmental sustainability?

Bai

et al. 2022

Front. Environ. Sci.

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The prime objective of the study is to examine the asymmetric effect of institutional quality and other control variables on environmental sustainability in G7 economies. The study examined data from 1986 to 2020 using a nonlinear ARDL (NARDL) technique. The outcomes of the study show heterogeneous results for the sampled economies. The findings confirm the asymmetric relationship between institutional quality, foreign direct investment, trade openness, and economic growth, and environmental sustainability in G7 countries. Furthermore, the study finds that neglecting the series’ inherent nonlinearities may lead to misleading inferences. The findings suggest that policies should be based on individual country characteristics and that no single policy can be a good fit for devising environmental sustainability measures.

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The relationship between energy consumption, economic growth, and CO2 emissions in China: the role of urbanisation and international trade

Cited by 85 publications

References 55 publications

Does Industrial Transfer Change the Spatial Structure of CO2 Emissions?—Evidence from Beijing-Tianjin-Hebei Region in China

Does Industrial Transfer Change the Spatial Structure of CO2 Emissions?—Evidence from Beijing-Tianjin-Hebei Region in China

How natural disasters affect carbon emissions: the global case

Does institutional quality matter for environmental sustainability?

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