The effect of urbanization and spatial agglomeration on carbon emissions in urban agglomeration

2020 ◽  
Vol 27 (19) ◽  
pp. 24329-24341 ◽  
Author(s):  
Feng Wang ◽  
Wenna Fan ◽  
Juan Liu ◽  
Ge Wang ◽  
Wei Chai
Keyword(s):  
Carbon Emissions ◽  
Urban Agglomeration ◽  
Spatial Agglomeration

scholarly journals Research on the Spatial Network Characteristics and Synergetic Abatement Effect of the Carbon Emissions in Beijing–Tianjin–Hebei Urban Agglomeration

2019 ◽  
Vol 11 (5) ◽  
pp. 1444 ◽  
Author(s):  
Xintao Li ◽  
Dong Feng ◽  
Jian Li ◽  
Zaisheng Zhang
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Synergetic Effect ◽  
Urban Agglomeration ◽  
Network Density ◽  
Spatial Network ◽  
Network Efficiency ◽  
Emission Data ◽  
Network Characteristics ◽  
Network Hierarchy

Based on the carbon emission data in the Beijing–Tianjin–Hebei urban agglomeration from 2007 to 2016, this paper used the method of social network analysis (SNA) to investigate the spatial correlation network structure of the carbon emission. Then, by constructing the synergetic abatement effect model, we calculated the synergetic abatement effect in the cities and we empirically examined the influence of the spatial network characteristics on the synergetic abatement effect. The results show that the network density first increased from 0.205 in 2007 to 0.263 in 2014 and then decreased to 0.205 in 2016; the network hierarchy fluctuated around 0.710, and the minimum value of the network efficiency was 0.561, which indicates that the network hierarchy structure is stern and the network has good stability. Beijing and Tianjin are in the center of the carbon emission spatial network and play important “intermediary” and “bridge” roles that can have better control over other carbon emission spatial spillover relations between the cities, thus the spatial network of carbon emissions presents a typical “center–periphery” structure. The synergetic abatement effect increased from −2.449 in 2007 to 0.800 in 2011 and then decreased to −1.653 in 2016; the average synergetic effect was −0.550. This means that the overall synergetic level has a lot of room to grow. The carbon emission spatial network has a significant influence on the synergetic abatement effect, while increasing the network density and the network hierarchy. Decreasing the network efficiency will significantly enhance the synergetic abatement effect.

scholarly journals Measurement of spatial agglomeration level and the characteristics of space–time evolution of China’s construction industry

2021 ◽  
Vol 336 ◽  
pp. 09019
Author(s):  
Likun Zhao ◽  
Junsen Tian ◽  
Yanqi Liu
Keyword(s):  
Construction Industry ◽  
Development Process ◽  
Southwest China ◽  
Yangtze River Delta ◽  
Urban Agglomeration ◽  
Economic Activities ◽  
Spatial Agglomeration ◽  
Construction Engineering ◽  
Evolution Characteristics ◽  
Space Time Evolution

Industrial agglomeration is the most prominent performance in current economic activities. In this study, the output value of construction engineering is taken as the core index. The relevant data of 31 provinces and cities in China from 2008 to 2019 are selected. The spatial agglomeration level and spatial and temporal evolution characteristics of Chinese construction industry in 10 years are studied using the Gini coefficient and the strongest gravity model. Results show that the spatial agglomeration level of China’s construction industry has been increasing annually, and the industry has experienced the development process of “disequilibrium to gradual equilibrium.” (1) The distribution of construction industry in 31 provinces and cities of China is characterized by spatial imbalance. (2) The agglomeration areas of high–high construction industrial elements are mainly concentrated in Beijing–Tianjin–Hebei and Yangtze River Delta urban agglomeration. Low–low industrial element agglomeration areas are concentrated in the urban agglomeration of southwest China. (3) The center of gravity of the spatial agglomeration of the elements of China’s construction industry is moving from the east to the central and western regions and gradually tends to be balanced.

scholarly journals Carbon Mitigation for Industrial Sectors in the Jing-Jin-Ji Urban Agglomeration, China

2019 ◽  
Vol 11 (22) ◽  
pp. 6383
Author(s):  
Yali Zhang ◽  
Yihan Wang ◽  
Xiaoshu Hou
Keyword(s):  
Carbon Emissions ◽  
Optimal Allocation ◽  
Urban Agglomeration ◽  
Burden Sharing ◽  
Carbon Mitigation ◽  
Development Mode ◽  
Allocation Model ◽  
Industrial Companies ◽  
Industrial Sectors ◽  
Urban Function

Industrial companies are responsible for most of the energy consumption and carbon emissions in China’s urban agglomerations. Some scholars have allocated CO2 emissions to China’s industrial sectors in reaching national reduction targets, yet industrial sectors’ burden-sharing problem for carbon mitigation at the provincial level has not been well addressed. Given the goal of realizing China’s national carbon mitigation target by 2030, we applied a nonlinear quota allocation model to obtain the optimal allocation of emission reduction quotas among 37 industrial sectors in the Jing-Jin-Ji urban agglomeration in China (comprising Beijing, Tianjin, and Hebei). Compared to Beijing and Tianjin, the secondary industry in Hebei bears the highest reduction responsibilities, given that Hebei will experience the largest carbon emissions, at 0.42 billion tons in 2030, which is 80.04% of the total emissions in the Jing-Jin-Ji urban agglomeration. Energy production and heavy manufacturing sectors serve as the major carbon emitters and have relatively high carbon intensities, which indicates that they have significant potential and major responsibilities for impacting carbon mitigation. Based on differences in urban function and development mode, the same industrial sectors in the three provinces have different obligations for emission reductions. This study is vital to allocate reduction responsibilities among industrial sectors and to discrete key sector categories bearing a higher mitigation burden.

scholarly journals Ecological Environment Vulnerability and Driving Force of Yangtze River Urban Agglomeration

2019 ◽  
Vol 11 (23) ◽  
pp. 6623 ◽  
Author(s):  
Peng ◽  
Huang ◽  
Elahi ◽  
Wei
Keyword(s):  
Yangtze River ◽  
Spatial Clustering ◽  
Driving Factors ◽  
Urban Agglomeration ◽  
Ecological Environment ◽  
Driving Mechanism ◽  
The Yangtze River ◽  
Spatial Agglomeration ◽  
Urban Agglomerations ◽  
Study Results

The vulnerability of ecological environment threatens social and economic development. Recent studies failed to reveal the driving mechanism behind it, and there is little analysis on the spatial clustering characteristics of the vulnerability of urban agglomerations. Therefore, this article estimates ecological environment vulnerability in 2005, 2011, and 2017, determines Moran Index (MI) with spatial autocorrelation model, analyzes the spatial-temporal difference characteristics of ecological environment vulnerability of Yangtze River Urban Agglomeration and the spatial aggregation effect, and discusses its driving factors. The study results estimate that the overall vulnerability index of the Yangtze River Urban Agglomeration is in a mild fragile state. However, most fragile and slightly fragile cities are developing in the direction of moderate to severe vulnerability. The spatial agglomeration effect of the ecological environment vulnerability of the Yangtze River Urban Agglomeration is not obvious, and the effect of mutual ecological environment influence among cities is not obvious. Moreover, the driving factors of ecological environment vulnerability of Yangtze River city group changed from natural factors to social economic factors and then to policy factors. It is necessary to develop an ecological economy, coordinate the spatial agglomeration of urban agglomerations, and make balance the internal differences of urban agglomerations.

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