Decouple transport CO2 emissions from China’s economic expansion: A temporal-spatial analysis

Liu, Ying; Feng, Chao

doi:10.1016/j.trd.2020.102225

Cited by 97 publications

(22 citation statements)

References 55 publications

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“…Through utilizing the LMDI decomposition approach, Liang et al (2017) analyzed that the core factor of enhancing the transport CO2 emissions is GDP for the country case of China for the time span of 2001to 2014. In a similar fashion, by using the data of 2004-2016 for the economy of China, Liu and Feng (2020) probed the association among energy-related transport carbon emissions, urbanization and economic growth through decoupling analysis which stands on the LMDI. For the country case of Pakistan, the relationship between environmental degradation from transportation sector, urbanization, economic growth along with consumption of energy has been analyzed by Mohsin et al, (2019) by using the Johansen cointegration method and Granger causality test for period of 1975 to 2015 and the findings show the validation of EKC hypothesis among transport emanations and GDP.…”

Section: Literature Reviewmentioning

confidence: 99%

The asymmetric effect of public private partnership investment on transport CO2 emission in China: Evidence from quantile ARDL approach

Anwar

Sharif

Fatima

et al. 2021

Journal of Cleaner Production

128

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Transportation infrastructure is a pillar of economic development as well as a main contributor to climate change. Therefore, it is necessary to transform the transport sector investment into climate-resilient, low-carbon transportation choices in order to achieve sustainable transportation infrastructure. In case of China, this transformation might be necessary from the perspective of the "New-style Urbanization" strategy, and for fulfilling this strategy, policy realignment is required. To address this policy-level void in the literature, we explore the influence of public private partnerships investment in transport sector, renewable energy consumption, urbanization on transport-induced carbon emissions in China. For this purpose, we apply Quantile Autoregressive Distributed Lagged (QARDL) method during 1990Q1-2018Q4. Based on the results of the study, a multipronged sustainable development goal (SDG) framework has been suggested, under which SDG 11, SDG 13, and SDG 8 are addressed, while using SDG 17 as a vehicle.

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Section: Literature Reviewmentioning

confidence: 99%

The asymmetric effect of public private partnership investment on transport CO2 emission in China: Evidence from quantile ARDL approach

Anwar

Sharif

Fatima

et al. 2021

Journal of Cleaner Production

128

View full text Add to dashboard Cite

show abstract

“…To evaluate past emissions abatement and simulate the prospective emission scenarios of commercial building operations, a few influencing factors were selected using the Kaya identity [13]. The Kaya identity (see Equation ( 1)) characterizes the carbon emissions through impact factors, including population (P) [27], technical advancement expressed by energy intensity [28] with its emission factor ( CO 2 E ) [29], and the socioeconomic process measured by GDP per capita ( GDP P ) [30].…”

Section: Emission Model Of Commercial Building Operationsmentioning

confidence: 99%

Carbon Neutral Roadmap of Commercial Building Operations by Mid-Century: Lessons from China

Zhang

Xiang

et al. 2021

Buildings

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Carbon neutrality has positive impacts on people, nature and the economy, and buildings represent the “last mile” sector in the transition to carbon neutrality. Carbon neutrality is characterized by the decarbonization of operations and maintenance, in addition to zero emissions in electricity and other industry sectors. Taking China’s commercial buildings as an example, this study is the first to perform an extensive data analysis for a step-wise carbon neutral roadmap of building operations via the analysis of a dynamic emission scenario. The results reveal that the carbon emissions abatement of commercial building operations from 2001 to 2018 was 1460.85 (±574.61) mega-tons of carbon dioxide (Mt CO2). The carbon emissions of commercial building operations will peak in the year 2039 (±5) at 1364.31 (±258.70) Mt, with emission factors and energy intensity being the main factors influencing the carbon peak. To move toward carbon neutral status, an additional 169.73 Mt CO2 needs to be cut by 2060, and the low emission path toward carbon neutrality will lead to the realization of the carbon peak of commercial buildings in 2024, with total emissions of 921.71 Mt. It is believed that cutting emissions from the operation of buildings in China will require a multi-sectoral synergistic strategy. It is suggested that government, residents, enterprises, and other stakeholders must better appreciate the challenges to achieve a substantial carbon reduction and the need for urgent action in the building sector in order to achieve carbon neutrality.

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“…The transport sector is a vital pillar of economic and society development. Although many studies have been conducted to explore the CO 2 emissions from the transport sector in the global (Timilsina and Shrestha 2009 ; Saboori et al 2014 ; Yin et al 2015 ), national (Wang et al 2007 ; Wang et al 2011 ; Zhou et al 2013 ; Hao et al 2014 ; Tiwari et al 2020 ; Liu and Feng 2020 ), provincial (Xu and Lin 2018 ; Feng and Wang 2018 ; Zhang et al 2019 ), and region levels (Guo et al 2014 ), the transport sector’s CO 2 emissions of Chinese cities have not been well documented when compared with the mentioned above literature. What’s more, existing studies have been paid more attention to spatial-temporal analysis of the differences in regional CO 2 emissions in recent years (Huang and Meng 2013 ; Ang et al 2016 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Driving forces of temporal-spatial differences in CO2 emissions at the city level for China’s transport sector

Liu

Yang

Liu

et al. 2021

Environ Sci Pollut Res

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The paper aims to investigate the influencing factors that drive the temporal and spatial differences of CO2 emissions for the transportation sector in China. For this purpose, this study adopts a Logistic Mean Division Index (LMDI) model to explore the driving forces of the changes for the transport sector’s CO2 emissions from a temporal perspective during 2000–2017 and identifies the key factors of differences in the transport sector’s CO2 emissions of China’s 15 cities in four key years (i.e., 2000, 2005, 2010, and 2017) using a multi-regional spatial decomposition model (M-R). Based on the empirical results, it was found that the main forces for affecting CO2 emissions of the transport sector are not the same as those from temporal and spatial perspectives. Temporal decomposition results show that the income effect is the dominant factor inducing the increase of CO2 emissions in the transport sector, while the transportation intensity effect is the main factor for curbing the CO2 emissions. Spatial decomposition results demonstrate that income effect, energy intensity effect, transportation intensity effect, and transportation structure effect are important factors which result in enlarging the differences in city-level CO2 emissions. In addition, the less-developed cities and lower energy efficiency cities have greater potential to reduce CO2 emissions of the transport sector. Understanding the feature of CO2 emissions and the influencing factors of cities is critical for formulating city-level mitigation strategies of the transport sector in China. Overall, it is expected that the level of economic development is the main factor leading to the differences in CO2 emissions from a spatial-temporal perspective.

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Decouple transport CO2 emissions from China’s economic expansion: A temporal-spatial analysis

Cited by 97 publications

References 55 publications

The asymmetric effect of public private partnership investment on transport CO2 emission in China: Evidence from quantile ARDL approach

The asymmetric effect of public private partnership investment on transport CO2 emission in China: Evidence from quantile ARDL approach

Carbon Neutral Roadmap of Commercial Building Operations by Mid-Century: Lessons from China

Driving forces of temporal-spatial differences in CO2 emissions at the city level for China’s transport sector

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