Urbanization, land use change, and carbon emissions: Quantitative assessments for city-level carbon emissions in Beijing-Tianjin-Hebei region

Zhou, Yuan; Chen, Mingxing; Tang, Zhipeng; Mei, Ziao

doi:10.1016/j.scs.2020.102701

Cited by 237 publications

(97 citation statements)

References 59 publications

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“…Meanwhile, Wang et al (2016) consider BRICS economies and confirm a panel causality between urbanization and CO2 emission, whereas Wang et al (2015) show that urbanization significantly contributes towards change in the value of per capita carbon emission. Besides, some other studies have confirmed that both urbanization and carbon emission is significantly linked with each other Shah et al 2020;Shi and Li 2018;Sun and Huang 2020;Zhao et al 2020;Zhou et al 2021).…”

Section: Resultsmentioning

confidence: 87%

The impact of natural resource rent, financial development, and urbanization on carbon emission

Huang

Sadiq

Chien

2021

Environ Sci Pollut Res

122

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There is a shred of evidence of environmental degradation in the form of carbon emissions to behave differently when tested with different macroeconomic variables. This paper aims to examine the long-run and short-run association between natural resource rent, financial development, and urbanization on carbon emission from the context of the USA during 1995-2015 with the help of a contemporary and innovative approach named quantile autoregressive distributed lagged model (QARDL). The stated approach is applied due to the fact that non-linearity is observed for the study variables. The findings indicated that the higher financial development (0.304), natural resource rent (0.102), and urbanization (0.489) have a positive impact on the environmental degradation in the region of USA during long-run estimation in the stated quantiles of the study. This would indicate that higher financial development, urbanization, and natural resources are putting more environmental pressure on the economy of the USA. Similarly, the findings under short-run estimation confirm that past and lagged values of carbon emission, financial development, natural resource rent, and urbanization are significantly determining the current values of the carbon emission. For this reason, it is suggested that the government requires some immediate steps of the USA to control the harmful effect of such financial development, more urbanization, and higher natural resource rent as well. This would indicate the reflection of some green strategies in all three explanatory variables to generate some fruitful environmental outcomes.

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Section: Resultsmentioning

confidence: 87%

The impact of natural resource rent, financial development, and urbanization on carbon emission

Huang

Sadiq

Chien

2021

Environ Sci Pollut Res

122

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“…The urbanization agglomeration effect is suggested so that urbanization-based carbon can be reduced. Another interesting insight regarding this relationship is provided by Zhou et al (2021) who found that due to land use for urbanization in China, the impact on carbon emissions is as follows: when urbanization is high, emissions are low; when urbanization is midrange, the emissions are high; when urbanization is low, emissions are low also. This study put forward the policy to use urbanization levels for the reduction of city-based carbon emissions.…”

Section: Impact Of Urbanization On Carbon Emissionmentioning

confidence: 99%

Effects of Forestry on Carbon Emissions in China: Evidence From a Dynamic Spatial Durbin Model

Mighri

Chen

2021

Front. Environ. Sci.

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Research has proved the significance of forests in controlling carbon emissions, however, our research sheds light on the management of existing forests to combat climate change. To examine the role of forestation and forest investment activities, dynamic spatial techniques are used for 30 provinces of China. The results suggest that forest investment and management not only reduce carbon locally but also in neighboring provinces. Furthermore, the findings of the current study confirmed that forest investment is the most viable practice to control carbon emissions in China instead of just increasing total forest area. Reforms regarding the management of forests would be a good policy for both pollution reduction and employment generation.

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“…The combined impacts of both industrial agglomeration and rural-urban migration confirmed EKC in models of the tertiary sector. Reference [29] used the EKC to discuss the relationship between urbanization and carbon emissions in three typical models. The second strand is to use various models or methods to explore the causal relationship and driving factors among urbanization, industrial structure, and carbon emissions, such as cointegration analysis, structural decomposition models, decou-pling theory, and LMDI [30][31][32][33][34], which showed that urbanization level is the main driving force promoting decoupling elasticity, both in the long-term and short-term, contributing to a significant increase in carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

“…In terms of regional measurement, scholars have focused more on studies at the national provincial, national strategic regional, and municipal levels. Among the national strategic regions, scholars have measured the carbon efficiency and influencing factors of the Yangtze River Economic Belt [46][47][48], Beijing-Tianjin-Hebei Urban Agglomeration [29,49,50], Belt and Road Initiative [40,51], and Pearl River Delta [52]. Although the HREZ is very important to China's economic development and for achieving goals for carbon abatement, there is currently a lack of research on such aspects.…”

Section: Introductionmentioning

confidence: 99%

Impact of Urbanization and Industrial Structure on Carbon Emissions: Evidence from Huaihe River Eco-Economic Zone

Pang

Zhou

Zhao

et al. 2021

Land

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Rapid urbanization in China greatly contributes to carbon emissions, while the industrial structure greatly contributes to changes in the variation of carbon emissions. This research addresses the impact of urbanization and industrial structure on carbon emissions from 2010 to 2018, by focusing on the Huaihe River Eco-economic Zone, which is an important economic corridor along the north–south division of China. Although many studies have focused on investigating the impact of urbanization or industrial structure on carbon emissions, few studies further addressed an analysis of the impact of both on carbon emissions, using multiple measurement models. This paper reveals the holistic and local impact of industrial structure and urbanization on carbon emissions, by integrating a threshold regression model with geographically weighted regression. The results are as follows: (1) From a holistic point of view, industrial structure and urbanization had both, single threshold, and double threshold effects on carbon emissions in the Huaihe River Eco-economic Zone. (2) From a regional perspective, the coefficients of industrial structure on carbon emissions were all positive, but the rate of increase gradually slowed down. The coefficients of urbanization on carbon emissions were all negative, reaching a maximum value of negative effect in 2013. Understanding the holistic and local impact of urbanization and industrial structure on carbon emissions provides governments with differentiated and forward-looking suggestions for mitigating carbon emissions in the Huaihe River Eco-economic Zone.

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Urbanization, land use change, and carbon emissions: Quantitative assessments for city-level carbon emissions in Beijing-Tianjin-Hebei region

Cited by 237 publications

References 59 publications

The impact of natural resource rent, financial development, and urbanization on carbon emission

The impact of natural resource rent, financial development, and urbanization on carbon emission

Effects of Forestry on Carbon Emissions in China: Evidence From a Dynamic Spatial Durbin Model

Impact of Urbanization and Industrial Structure on Carbon Emissions: Evidence from Huaihe River Eco-Economic Zone

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