scholarly journals Spatial Heterogeneity of the Carbon Emission Effect Resulting from Urban Expansion among Three Coastal Agglomerations in China

2019 ◽  
Vol 11 (17) ◽  
pp. 4590 ◽  
Author(s):  
Jiqun Wen ◽  
Xiaowei Chuai ◽  
Shanchi Li ◽  
Song Song ◽  
Yuanwei Li ◽  
...  

Land-use change, particularly urban expansion, can greatly affect the carbon balance, both from the aspects of terrestrial ecosystems and anthropogenic carbon emissions. Coastal China is a typical region of rapid urban expansion, and obvious spatial heterogeneity exists from the north to south. However, the different urban change characteristics and the effect on carbon balance remain undetermined. By unifying the spatial-temporal resolution of carbon source and sink data, we effectively compared the carbon budgets of three coastal urban agglomerations in China. The results show that all of the three urban agglomerations have undergone an obvious urban expansion process, with the built-up area increasing from 1.03 × 104 km2 in 2000 to 3.06 × 104 km2 in 2013. For Beijing–Tianjin–Hebei (BTH), the built-up area gradually expanded. The built-up area in the Yangtze River Delta (YRD) gradually changed before 2007 but rapidly grew thereafter. The built-up expansion of the Pearl River Delta (PRD) passed through three growing stages and showed the largest mean patch size. Carbon emission spatial patterns in the three urban agglomerations are consistent with their economic development, from which the net ecosystem production (NEP) spatial patterns are very different. Compared to carbon emissions, NEP has a carbon sink effect and can absorb some carbon emissions, but the amounts were all much lower than the carbon emissions in the three urban agglomerations. The carbon sink effect in the Yangtze River Delta is the most obvious, with the Pearl River Delta following, and the lowest effect is in Beijing–Tianjin–Hebei. Finally, a scientific basis for policy-making is provided for viable CO2 emission mitigation policies.

2020 ◽  
Vol 12 (2) ◽  
pp. 458 ◽  
Author(s):  
Feng Wang ◽  
Wenna Fan ◽  
Xiangyan Lin ◽  
Juan Liu ◽  
Xin Ye

Population mobility accelerates urbanization convergence and mitigates the negative impact of the spatial agglomeration effect on urbanization convergence, which is the most important conclusion in this paper. Taking 38 cities in China’s three urban agglomerations (the Yangtze River Delta, the Pearl River Delta, and the Beijing–Tianjin–Hebei region) from 2005 to 2016 as research subjects, the study first shows that there is a large gap in the level of urbanization between the three major urban agglomerations, but the gap has been constantly narrowed and presents a trend of absolute convergence and conditional convergence. Furthermore, without adding a population mobility variable, the combination of the diffusion effect of high-urbanization cities and the high growth rate of low-urbanization cities causes the inter-regional urbanization level to be continuously convergent in the Yangtze River Delta region; however, the combination of the agglomeration effect of high-urbanization cities and the high growth rate of low-urbanization cities causes the inter-regional urbanization to be divergent in the Pearl River Delta and the Beijing–Tianjin–Hebei region. Under the influence of population mobility, the “catch-up” effect in low-urbanization regions is greater than the agglomeration effect in high-urbanization regions, which promotes the continuous convergence of inter-regional urbanization.


2017 ◽  
Vol 05 (01) ◽  
pp. 1750006
Author(s):  
Xuan SUN

The level of coordinated industrial development in a region is considered as an important factor of measuring the construction of urban agglomerations. As the economic development patterns and stages vary in regions, a single-standard evaluation system is generally insufficient in evaluating and analyzing the coordinated industrial development of urban agglomerations. This paper, with multivariate values and diversified development demands considered, quantitatively describes the industrial development of urban agglomerations from four dimensions: economics, specialization, balance, and friendliness. On this basis, it synthesizes the indicator parameters effectively and proposes a multi-indicator evaluation model. Through the model, the paper comparatively analyzes the present status and development course of coordinated industrial development of typical urban agglomerations (Beijing–Tianjin–Hebei urban agglomeration, the Yangtze River Delta urban agglomeration, and the Pearl River Delta urban agglomeration) in China. The results show that Beijing–Tianjin–Hebei urban agglomeration has the clearest division of industries, but its industrial spillover effect is limited, the industrial structure of small and medium cities is too simple, and the economic gap among cities narrows at a very slow rate. The core cities in the Yangtze River Delta urban agglomeration exert certain driving effect upon the economy of their surrounding areas. However, they hardly give full play to their comparative advantages due to a low level of regional integration and high industrial similarity among cities. Compared with the above two urban agglomerations, the Pearl River Delta urban agglomeration enjoys more reasonable division of industries among cities, significant driving effect of core cities, and higher level of coordinated industrial development as driven by the market economy.


2020 ◽  
Vol 206 ◽  
pp. 02014
Author(s):  
Wang Hongmei ◽  
Lu Zhihui

The importance of close cooperation among cities can be seen from the development experience of mature urban agglomerations in the world. Compared with the Yangtze river delta and the Pearl River Delta urban agglomeration, cities in Beijing Tianjin Hebei urban agglomerations are in poor connection. This paper studies the internal linkages of Beijing Tianjin Hebei Urban Agglomerations, and finds that: in recent years, the overall spatial linkages of the urban agglomerations have been several times higher than that in 2007, but they show the characteristics of geographically “dense in the South and sparse in the north”; the main connection tracks within the urban agglomerations are roughly “inverted L”, that is, the connection of “Beijing-Tianjin”, “Beijing-Baoding-Shijiazhuang” and “Xingtai-Handan”.


2018 ◽  
Vol 10 (11) ◽  
pp. 4179 ◽  
Author(s):  
Chengliang Liu ◽  
Tao Wang ◽  
Qingbin Guo

Continuous aggregation of socioeconomic factors is the key issue of sustainable development in urban agglomerations. To date, more attention has been paid to single urban agglomeration than to multiple agglomerations. In this paper, China’s 19 urban agglomerations were selected as the case study and their spatial differences in factors aggregating ability were portrayed comparatively. Firstly, the spatial pattern of urban factors aggregating ability is relatively well distributed in all China’s cases, most noticeably in the Yangtze River Delta urban agglomeration, closely followed by the Beijing-Tianjin-Hebei and the Pearl River Delta urban agglomerations. However, more significant differences on factors aggregating ability are noticeably seen between cities than among urban agglomerations. Meanwhile, the rank-size structure distribution of factors aggregating ability in China’s 19 cases is in line with the Zipf’s law of their urban systems, and divided into three types: Optimized, balanced, and discrete. Furthermore, the urban factors aggregation ability in one urban agglomeration is roughly negatively correlated with its primacy ratio of factors aggregating ability distribution. Lastly, urban agglomerations with higher average values of factors aggregating ability are concentrated on the three major urban agglomerations: The Yangtze River Delta, the Beijing-Tianjin-Hebei and the Pearl River Delta. Otherwise, high-high clusters in the three urban agglomerations are distinctly observed as well.


2016 ◽  
Vol 2 (1) ◽  
pp. 8 ◽  
Author(s):  
Tang Shaoqing ◽  
Jiang Pengfei ◽  
Guo Xiuli

<p>The integrated development of Beijing-Tianjin-Hebei region has become one of the national economic development strategies in China. To understand this strategy, this paper studies the regional and industrial characteristics of the upcoming Beijing-Tianjin-Hebei (BTH) region, compares the BTH region with its existing counterparts in the Yangtze River Delta (YRD) region and the Pearl River Delta (PRD) region in China, and also compares this upcoming economic circle with other five global metropolis circles. From the theoretical perspective of integrated development, this paper analyzes the possible sustainable development path for this new economic circle. </p>


2020 ◽  
Vol 12 (19) ◽  
pp. 7872
Author(s):  
Yijia Huang ◽  
Jiaqi Zhang ◽  
Jinqun Wu

Rapid urbanization has led to a growing number of environmental challenges in large parts of China, where the Yangtze River Delta (YRD) urban agglomerations serve as a typical example. To evaluate the relationship between environmental sustainability gaps and urbanization in 26 cities of the YRD, this study revisited the environmental sustainability assessment (ESA) by combining the metrics of environmental footprints and planetary boundaries at the city level, and then integrated the footprint-boundary ESA framework into decoupling analysis. The results demonstrated considerable spatiotemporal heterogeneity in the environmental sustainability of water use, land use, carbon emissions, nitrogen emissions, phosphorus emissions and PM2.5 emissions across the YRD cities during the study period 2007–2017. Decoupling analysis revealed a positive sign that more than half of the 26 cities had achieved the decoupling of each category of environmental sustainability gaps from urbanization since 2014, especially for nitrogen and phosphorus emissions. On the basis of ESA and decoupling analysis, all the cities were categorized into six patterns, for which the optimal pathways towards sustainable development were discussed in depth. Our study will assist policy makers in formulating more tangible and differentiated policies to achieve decoupling between environmental sustainability gaps and urbanization.


2021 ◽  
Vol 228 ◽  
pp. 01004
Author(s):  
Jianchao Hou ◽  
Jinhua Jian ◽  
Pingkuo Liu

With the aggravation of environmental pollution and the overuse of fossil energy, a sustainable transition to using the low-carbon and clean energy is perceived to be an inevitable trend. The Beijing-Tianjin-Hebei, the Yangtze River Delta and the Pearl River Delta are the three most important economic circles in China. One purpose of energy transition in those Three Urban Agglomerations is to enable the energy system to have a higher share of clean energy. This paper introduces the current situation in terms of energy endowment, production and consumption in the three urban agglomerations, discusses the policy environment from the aspects of development planning, supporting mechanism and policy tools. We further analyse the barriers of the energy transition in the three urban agglomerations by using Institution-Economy-Technology-Behaviour (IETB) conceptual model. Through this research, we know that reducing the carbon emissions is a priority in energy transition and increasing the utilization of renewable energy has become the consensus in the three urban agglomerations. In addition, reasonable energy development policies can impel the energy investment and the technology innovation to accelerate energy transition. Moreover, in the designated “highly polluting” industry sectors, energy supply enterprises and energy-consuming enterprises establish green-development incentive mechanisms and adopt technological innovation in order to promote energy transition.


Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8169
Author(s):  
Zaijun Li ◽  
Xiang Zheng ◽  
Dongqi Sun

A low-carbon economy is the most important requirement to realize high-quality integrated development of the Yangtze River Delta. Utilizing the following models: a super-efficiency slacks-based measure model, a spatio-temporal correlation model, a bivariate LISA model, a spatial econometric model, and a geographically weighted random forest model, this study measured urban industrial eco-efficiency (IEE) and then analyzed its influencing effects on carbon emission in the Yangtze River Delta from 2000 to 2017. The influencing factors included spatio-temporal correlation intensity, spatio-temporal association type, direct and indirect impacts, and local importance impacts. Findings showed that: (1) The temporal correlation intensity between IEE and scale efficiency (SE) and carbon emissions exhibited an inverted V-shaped variation trend, while the temporal correlation intensity between pure technical efficiency (PTE) and carbon emissions exhibited a W-shaped fluctuation trend. The negative spatial correlation between IEE and carbon emissions was mainly distributed in the developed cities of the delta, while the positive correlation was mainly distributed in central Anhui Province and Yancheng and Taizhou cities. The spatial correlation between PTE and carbon emissions exhibited a spatial pattern of being higher in the central part of the delta and lower in the northern and southern parts. The negative spatial correlation between SE and carbon emissions was mainly clustered in Zhejiang Province and scattered in Jiangsu and Anhui provinces, with the cities with positive correlations being concentrated around two locations: the junction of Anhui and Jiangsu provinces, and within central Jiangsu Province. (2) The direct and indirect effects of IEE on carbon emissions were significantly negative, indicating that IEE contributed to reducing carbon emissions. The direct impact of PTE on carbon emissions was also significantly negative, while its indirect effect was insignificant. Both the direct and indirect effects of SE on carbon emissions were significantly negative. (3) It was found that the positive effect of IEE was more likely to alleviate the increase in carbon emissions in northern Anhui City. Further, PTE was more conducive to reducing the increase in carbon emissions in northwestern Anhui City, southern Zhejiang City, and in other cities including Changzhou and Wuxi. Finally, it was found that SE played a relatively important role in reducing the increase in carbon emissions only in four cities: Changzhou, Suqian, Lu’an, and Wenzhou.


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