Exploring the impact of urbanization on urban building carbon emissions in China: Evidence from a provincial panel data model

Huo, Tengfei; Li, Xiaohui; Cai, Weiguang; Zuo, Jian; Jia, Fuyuan; Wei, Haifeng

doi:10.1016/j.scs.2020.102068

Cited by 219 publications

(80 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The environment influences China’s urbanization 14,000 Km 2 areas experienced a high concentration of CO2 emissions [ 85 ]. The rapid dimension in construction and renovation of space heating is obsessed with urbanization [ 86 , 87 ]. The higher intensity of CO2 emissions is recorded in the urban territories than residential or rural areas because of the higher volume of traffic and denser population [ 88 , 89 ].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China

Khan

2021

PLoS ONE

View full text Add to dashboard Cite

The credible sources of fossil energy efficiently are a vital cause of economic growth and considerable influence on adequate security. Whereas radiant energy positively enhances or ostensibly promotes socio-economic stability and the controlled environment. The fossil energy sources supply has become progressively stern in China and reconnoitering the beta decoupling relationships between CO2 emissions, GDP, energy consumption, electricity consumption, value-added industries, and population. The results will be favorable for illustrative the security of the valuable resources. This study adopts the extended stochastic model (STIRPAT) with Beta Decoupling Techniques (BDT). This modern technique merely employs the decoupling situation by the alpha and beta effects from 1989 to 2018 and calculates the % change in CO2 emissions by GDP growth and energy consumption. The estimated results represent negative and economic growth depends on coal and natural gas. First, CO2 emissions annually increasing cause of rapid growth, energy consumption, and electricity production, and the structural contradiction of energy remained static. Second, the Value-added industries estimated that CO2 emissions reduce by primary industries. Third, the decoupling states of CO2 emissions and population show an inverse relationship. This paper tentatively suggests China is sustainable, naturally strengthens energy output, transmutes the energy consumption structure, and advances development policies under environmental circumstances.

show abstract

Section: Resultsmentioning

confidence: 99%

“…Besides, the population, solicitation of clean energy (solar, water, nuclear, wind, geothermal, tidal, and biomass), and to build the low carbon energy sources by technology. Also, develop renewable vitality mechanism aiming to improve the efficiency of utilization, energy conversation, energy transformation, and consumption [ 86 , 92 ].…”

Section: Discussionmentioning

confidence: 99%

Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China

Khan

2021

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…As for fossil fuel, innovation includes more effective combustion methods and efficient internal combustion engines (Wilson et al 2019 ). As for secondary energy derived from fossil fuel, the innovation focuses on reducing the communication network’s energy consumption (Jenkins and Hopkins 2019 ) and creating more energy-efficient home appliances (Huo et al 2020 ). (2) Look for alternatives to fossil fuels, known as cleaner energy sources, such as solar, wind, or geothermal energy (Polzin 2017 ).…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

Do carbon emissions accelerate low-carbon innovation? Evidence from 285 Chinese prefecture-level cities

Pan

Zhang

Xie

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

Climate change caused by carbon emissions has a strong influence on the economy and human society. Though numerous previous studies have emphasized the importance of low-carbon innovation on curbing or mitigating carbon emissions, not much attention has been given to the reverse effect. We used a panel of 285 Chinese prefecture-level cities from 2005 to 2016 and Cooperative Patent Classification (CPC)-Y02 patents as low-carbon innovation indicators. The results show that the increasing carbon emissions accelerate cities’ low-carbon innovation in China, and the predicted effect varies across low-carbon innovation types. As carbon emissions rise, more low-carbon innovation will occur in activities with higher carbon emissions. Besides, we explore environmental awareness as the mediation channel for carbon emissions to impact low-carbon innovation. With the help of media, government, and enterprises, the growing carbon emissions promote public environmental awareness and change consumers’ behaviors, motivating companies to speed up low-carbon innovation.

show abstract

“…China promised its self-contribution to carbon abatement and has taken effective measures for these targets. The control of CO 2 emission, as to get a win-win achievement between the environment and economic development, has become an important goal for the sustainable economic development of China [7]. Carbon abatement in the industrial sector is crucial to the realization of China's CO 2 emission target.…”

Section: Introductionmentioning

confidence: 99%

Social and Economic Factors of Industrial Carbon Dioxide in China: From the Perspective of Spatiotemporal Transition

Li¹,

Cheng²,

Diao³

et al. 2021

Sustainability

View full text Add to dashboard Cite

The reduction of CO2 emission has become one of the significant tasks to control climate change in China. This study employs Exploratory Spatial Data Analysis (ESDA) to identify the provinces in China with different types of spatiotemporal transition, and applies the Logarithmic Mean Divisia Index (LMDI) to analyze the influencing factors of industrial CO2 emissions. Spatial autocorrelation of provincial industrial CO2 emissions from 2003 to 2017 has been demonstrated. The results are as follows: (1) 30 provinces in China are categorized into 8 types of spatiotemporal transition, among which 24 provinces are characterized by stable spatial structure and 6 provinces show significant spatiotemporal transition; (2) For all types of spatiotemporal transition, economic scale effect is mostly contributed to industrial CO2 emission, while energy intensity effect is the most crucial driving force to reduce industrial carbon dioxide emission; (3) provinces of type HH-HH, HL-HL and HL-HH are most vital for CO2 emission reduction, while the potential CO2 emission increase of developing provinces in LL-LL, LH-LH and LL-LH should also be taken into account. Specific measures for CO2 emission reduction are suggested accordingly.

show abstract

Exploring the impact of urbanization on urban building carbon emissions in China: Evidence from a provincial panel data model

Cited by 219 publications

References 64 publications

Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China

Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China

Do carbon emissions accelerate low-carbon innovation? Evidence from 285 Chinese prefecture-level cities

Social and Economic Factors of Industrial Carbon Dioxide in China: From the Perspective of Spatiotemporal Transition

Contact Info

Product

Resources

About