CO2 Emissions in China’s Yangtze River
Economic Zone: A Dynamic Vector
Autoregression Approach

Wen, Lei; Zhang, Xin

doi:10.15244/pjoes/83668

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…In addition, Wang et al [32] calculated CO 2 emissions from both urban and rural residential consumption in the Beijing-Tianjin-Hebei region by applying an input–output model. Wen et al [33] analyzed the driving forces in China’s Yangtze River Economic Zone using pertinent data, including per capita GDP, energy efficiency, urban level, and industry and energy structures. Wang et al [34] examined the effects of socioeconomic factors, urban form, and transportation factors, and applied an econometric model and a comprehensive panel dataset for four Chinese megacities—Beijing, Tianjin, Shanghai, and Guangzhou.…”

Section: Introductionmentioning

confidence: 99%

What Are the Driving Forces of Urban CO2 Emissions in China? A Refined Scale Analysis between National and Urban Agglomeration Levels

Wang

Gui-fen²,

Shi

2019

IJERPH

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With the advancement of society and the economy, environmental problems have increasingly emerged, in particular, problems with urban CO2 emissions. Exploring the driving forces of urban CO2 emissions is necessary to gain a better understanding of the spatial patterns, processes, and mechanisms of environmental problems. Thus, the purpose of this study was to quantify the driving forces of urban CO2 emissions from 2000 to 2015 in China, including explicit consideration of a comparative analysis between national and urban agglomeration levels. Urban CO2 emissions with a 1-km spatial resolution were extracted for built-up areas based on the anthropogenic carbon dioxide (ODIAC) fossil fuel emission dataset. Six factors, namely precipitation, slope, temperature, population density, normalized difference vegetation index (NDVI), and gross domestic product (GDP), were selected to investigate the driving forces of urban CO2 emissions in China. Then, a probit model was applied to examine the effects of potential factors on urban CO2 emissions. The results revealed that the population, GDP, and NDVI were all positive driving forces, but that temperature and precipitation had negative effects on urban CO2 emissions at the national level. In the middle and south Liaoning urban agglomeration (MSL), the slope, population density, NDVI, and GDP were significant influencing factors. In the Pearl River Delta urban agglomeration (PRD), six factors had significant impacts on urban CO2 emissions, all of which were positive except for slope, which was a negative factor. Due to China’s hierarchical administrative levels, the model results suggest that regardless of which level is adopted, the impacts of the driving factors on urban CO2 emissions are quite different at the national compared to the urban agglomeration level. The degrees of influence of most factors at the national level were lower than those of factors at the urban agglomeration level. Based on an analysis of the forces driving urban CO2 emissions, we propose that it is necessary that the environment play a guiding role while regions formulate policies which are suitable for emission reductions according to their distinct characteristics.

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Section: Introductionmentioning

confidence: 99%

What Are the Driving Forces of Urban CO2 Emissions in China? A Refined Scale Analysis between National and Urban Agglomeration Levels

Wang

Gui-fen²,

Shi

2019

IJERPH

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“…The VAR model has an advantage, because it does not require any theoretical background among variables in interpreting their relationships. The models have traditionally been used in finance and econometrics ( Stock and Mark, 2001 ), but the models have been recently adopted in various fields, including epidemiology, biology, and even the social sciences ( Wen & Zhang, 2019 ; Khan et al, 2020 ; Caruso et al, 2020 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Examining the causal relationship between bike-share and public transit in response to the COVID-19 pandemic

Kim

Cho²

2022

Cities

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“…Many studies area on CO 2 emissions in China that divide the scope of research by geographic [6][7][8]. The scientific estimation of industry CO 2 emissions are mainly focused on the iron and steel industry [9], transport industry [10], mining industry [11], power industry [12], manufacturing industry [13], and so on.…”

Section: Introductionmentioning

confidence: 99%

Benefit Evaluation of Energy-Saving and Emission Reduction in Construction Industry Based on Rough Set Theory

Zhong¹,

Zhang

Yang

2021

Ecological Chemistry and Engineering S

Self Cite

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Achieving energy conservation and emission reduction in the industry is an inevitable way to promote harmony between society and nature and achieve sustainable human development. China’s infrastructure construction industry is developing rapidly. Still, there is a lack of a well-established industry standard for evaluating the potential and level of energy reduction in infrastructure construction. A severe lack of quantitative research on energy-saving and CO2 outflow decreases the benefits of green development advances. This study takes the energy conservation and outflow decrease of construction waste slurry treatment in Guangdong Province, China, as the background, establishes an evaluation system with three rule levels: social, economic, and environmental, and adopts rough set theory to determine the weights of each index to ensure the objectivity of each index. According to the recommendations of the carbon emission calculation guidelines, select the relevant data to evaluate the energy-saving and emission reduction benefits of the new green construction technology of grouted piles in a road project in Guangdong Province. The results show that the development level and potential of energy saving and emission reduction technology in the construction sector in Guangdong Province are increasing year by year. It’s potential changes with the increase or decrease of highway mileage, and it is an urgent need to increase investment in pollution control. The research results can evaluate the benefits of energy-saving and carbon dioxide emission reduction in the construction industry, also be used as a reference to assess energy-saving and emission reduction in the construction industry in other countries.

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CO2 Emissions in China’s Yangtze River Economic Zone: A Dynamic Vector Autoregression Approach

Cited by 5 publications

References 22 publications

What Are the Driving Forces of Urban CO2 Emissions in China? A Refined Scale Analysis between National and Urban Agglomeration Levels

What Are the Driving Forces of Urban CO2 Emissions in China? A Refined Scale Analysis between National and Urban Agglomeration Levels

Examining the causal relationship between bike-share and public transit in response to the COVID-19 pandemic

Benefit Evaluation of Energy-Saving and Emission Reduction in Construction Industry Based on Rough Set Theory

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