The Carbon Reduction Effect of ICT: The Perspective of Factor Substitution

2021 ◽  
Author(s):  
Mei-Rui Zhong ◽  
Meng-Yuan Cao ◽  
Han Zou
Keyword(s):  
Carbon Reduction ◽  
Factor Substitution ◽  
Reduction Effect

scholarly journals A Study on Near Real-Time Carbon Emission of Roads in Urban Agglomeration of China to Improve Sustainable Development under the Impact of COVID-19 Pandemic

2021 ◽  
Vol 14 (1) ◽  
pp. 385
Author(s):  
Gengyuan Liu ◽  
Zining Huang ◽  
Yuan Gao ◽  
Mingwan Wu ◽  
Chang Liu ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Rapid Evaluation ◽  
Carbon Reduction ◽  
The Road ◽  
Average Change ◽  
Reduction Effect ◽  
The Impact ◽  
The City

In order to achieve the goal of carbon neutrality and explore the impact of COVID-19 on urban road carbon emission, this study applied and improved a near real-time road carbon emission estimation method for typical Chinese urban agglomeration to improve the rapid evaluation of sustainable development. As a result, we recorded the daily road carbon emission for 12 cities in the Beijing–Tianjin–Hebei (JJJ) region under the impact of the epidemic, exploring the road carbon reduction effect caused by COVID-19. Singular value decomposition method was used to analyze the temporal and spatial characteristics of road carbon emission changes among cities and to explore the urban resilience oriented to public events. The results show: (1) In the JJJ region, the carbon reduction effect caused by COVID-19 is significant, but it lasted for a short time. In the three periods—before the epidemic, strict lockdown period, and post-lockdown period for prevention and control—the total daily road carbon emissions in the 12 cities were 170,000–190,000 tons, 90,000–110,000 tons, and 160,000–180,000 tons, respectively. (2) Cities in the JJJ region showed different road carbon reduction potential under short-term administrative control. During the “strict lockdown period” (23 January–25 February 2020), the average change rate of road carbon emissions in Beijing was −78.72%, which had great potential for reduction. However, the average change rates of Xingtai and Zhangjiakou were only −7.53% and −8.66%, respectively. (3) There are spatiotemporal differences in carbon emissions of urban roads in the JJJ region under the impact of the epidemic. During the gradual reduction of COVID-19 restrictions, great differences between cities on weekends and holidays arise, showing the road carbon emissions in Beijing on weekends and holidays are far lower than that in other cities. (4) In the face of public emergencies, the larger the city is and the more complex the function of the city is, the more difficult for the city is to maintain a steady state. This study not only provides an idea for the dynamic monitoring of urban carbon emissions to improve the rapid evaluation of urban sustainable development in post- and pre-lockdown but also fills the gap in the research on the differences in the response of cities to sudden security incidents from the perspective of road carbon emissions.

scholarly journals Analysis on Carbon Reduction Effect of Vegetation System in Northern China

2015 ◽  
Vol 75 ◽  
pp. 2233-2239
Author(s):  
Weiwei Shao ◽  
Haixing Zhang ◽  
Guiyu Yang ◽  
Jiahong Liu ◽  
Hao Huang
Keyword(s):  
Northern China ◽  
Carbon Reduction ◽  
Reduction Effect

scholarly journals The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China

Atmosphere ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1169
Author(s):  
Tao Shi ◽  
Shucun Si ◽  
Jian Chan ◽  
Lingling Zhou
Keyword(s):  
Spatial Heterogeneity ◽  
Technological Innovation ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Western Region ◽  
Transportation Industry ◽  
Carbon Emission Reduction ◽  
Carbon Reduction ◽  
The Western Region ◽  
Reduction Effect

The carbon reduction effect of technological innovation in the transportation industry is conducive to China’s anticipated realization of carbon neutrality. Therefore, we evaluated carbon emission reduction effect of technological innovation in the transportation industry in China. Based on the panel data of 30 sample provinces in China (excluding Hong Kong, Macao, Taiwan and Tibet) from 2012 to 2018, using the Moran’I index and Getis-Ord Gi index, this paper analyzes the evolutionary trend and spatial autocorrelation of carbon emission in the transportation industry, and analyzes the impact of technological innovation on carbon emission levels of the transportation industry and its spatiotemporal differences by using the geographical and temporal weighted regression (GTWR) model by using ArcGIS 10.4 software. The conclusions are as follows: The carbon emission level of China’s transportation industry generally has been rising steadily, showing a spatial distribution pattern of high emissions in the east and low emissions in the west. The cold spots are concentrated in the western region, and the hot spots are situated in the central and eastern regions. Technological innovation has a carbon reduction effect on the transportation industry in the eastern and north-eastern regions, while the effect in other regions is not obvious. However, there is an obvious “inverted U-shaped” relationship between technological innovation and the transportation industry’s carbon emissions. The technological innovation in the transportation industry will have a significant carbon reduction effect after breaking through the technical pain points. This carbon reduction effect has a higher effect on the western region than on the eastern region. In addition, the economic development level, the fiscal expenditure proportion of the transportation industry, the higher education level, and the proportion of fixed asset investment in the transportation industry have played a positive role in reducing carbon in the transportation industry, but the spatial heterogeneity of this carbon reduction effect is relatively strong. Therefore, during the “14th Five-Year Plan” development period in China, it is necessary to continuously promote the low-carbon development of the transportation industry with technological innovation, while highlighting the differentiated carbon reduction governance, and consolidating the role of talents and fiscal support.

scholarly journals Study of the behavior pattern, carbon reduction effect and business costs of electric motorcycles on island

2018 ◽  
Author(s):  
Shyang-Chyuan Fang
Keyword(s):  
Motor Vehicle ◽  
Behavior Pattern ◽  
Economic Benefits ◽  
Climatic Conditions ◽  
Energy Costs ◽  
Service Center ◽  
Low Carbon ◽  
Carbon Reduction ◽  
Reduction Effect ◽  
Reducing Energy

Global warming and climate change have led to extreme changes in climatic conditions in recent years. The Taiwan government designates the construction of the Kinmen County as low carbon islands, to promote the operation of 100 electric motorcycles and battery demonstration. This study combined with island tourism, after boarding the island, visitors can rent electric motorcycles from the passenger service center and coordinate with the island tour map to show the location of the battery exchange points, so as to facilitate the search. During the operation, the amount of electric motorcycle lease is 15,551 times, the total mileage of motor vehicle is 284,404 km, the number of battery exchange is 622 times, the lease income is about NT$900,000. To reduce carbon and economic benefits of the assessment, compared to the motorcycles (50 c.c), electric motorcycles (EM 100) can reduce the carbon emissions by 8,726 kg, reducing energy costs of NT$422,594.

scholarly journals Study of the behavior pattern, carbon reduction effect and business costs of electric motorcycles on island

2018 ◽  
Author(s):  
Shyang-Chyuan Fang
Keyword(s):  
Motor Vehicle ◽  
Behavior Pattern ◽  
Economic Benefits ◽  
Climatic Conditions ◽  
Energy Costs ◽  
Service Center ◽  
Low Carbon ◽  
Carbon Reduction ◽  
Reduction Effect ◽  
Reducing Energy

Global warming and climate change have led to extreme changes in climatic conditions in recent years. The Taiwan government designates the construction of the Kinmen County as low carbon islands, to promote the operation of 100 electric motorcycles and battery demonstration. This study combined with island tourism, after boarding the island, visitors can rent electric motorcycles from the passenger service center and coordinate with the island tour map to show the location of the battery exchange points, so as to facilitate the search. During the operation, the amount of electric motorcycle lease is 15,551 times, the total mileage of motor vehicle is 284,404 km, the number of battery exchange is 622 times, the lease income is about NT$900,000. To reduce carbon and economic benefits of the assessment, compared to the motorcycles (50 c.c), electric motorcycles (EM 100) can reduce the carbon emissions by 8,726 kg, reducing energy costs of NT$422,594.

scholarly journals Determinants of Decoupling Economic Output from Carbon Emission in the Transport Sector: A Comparison Study of Four Municipalities in China

2019 ◽  
Vol 16 (19) ◽  
pp. 3729 ◽  
Author(s):  
Qiang Wang ◽  
Shasha Wang ◽  
Rongrong Li
Keyword(s):  
Economic Growth ◽  
Carbon Emission ◽  
Positive Impact ◽  
Driving Factors ◽  
Transport Sector ◽  
Low Carbon ◽  
Carbon Reduction ◽  
Economic Output ◽  
Reduction Effect ◽  
Saving Effect

Quantitative analysis on decoupling between economic output, carbon emission, and the driving factors behind decoupling states can serve to make the economy grow without increasing carbon emission in China’s transport sector. In this work, we investigate the decoupling states and driving factors of decoupling states in the transport sector of China’s four municipalities (Beijing, Shanghai, Tianjin, and Chongqing) through combining the Tapio decoupling approach with the decomposition technique. The results show that (i) the decoupling state of Beijing, Shanghai, and Tianjin improved; Beijing stabilized in weak decoupling; Shanghai and Tianjin appeared to have strong decoupling, but the decoupling state of Chongqing deteriorated from decoupling to negative decoupling. (ii) The energy-saving effect was the primary contributor to decoupling in these four municipalities, promoting transport’s economic growth strongly decouple from carbon emission. The economic scale effect was not optimized enough in Chongqing, facilitating expansive coupling, and expansive negative decoupling emerged. But it had a rather positive impact on decoupling process in Beijing, Shanghai and Tianjin, promoting economic growth to weakly decouple from carbon emission. (iii) The carbon-reduction effect promoted strong decoupling, which emerged in Shanghai’s transport sector, more so than in the other three municipalities, in which weak decoupling emerged. Finally, several relevant policy recommendations were offered to promote the decoupling of carbon emission from economic growth and low-carbon transport.

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