scholarly journals Study on Dynamic Total Factor Carbon Emission Efficiency in China’s Urban Agglomerations

2020 ◽  
Vol 12 (7) ◽  
pp. 2675
Author(s):  
Fan Zhang ◽  
Gui Jin ◽  
Junlong Li ◽  
Chao Wang ◽  
Ning Xu
Keyword(s):  
Pearl River Delta ◽  
Yangtze River ◽  
Carbon Emission ◽  
Yangtze River Delta ◽  
River Delta ◽  
Pearl River ◽  
Low Carbon ◽  
Frontier Analysis ◽  
Urban Agglomerations ◽  
Emission Efficiency

The scale effect of urbanization on improving carbon emission efficiency and achieving low-carbon targets is an important topic in urban research. Using dynamic panel data from 64 prefecture-level cities in four typical urban agglomerations in China from 2006 to 2016, this paper constructed a stochastic frontier analysis model to empirically measure the city-level total-factor carbon emission efficiency index (TCEI) at different stages of urbanization and to identify rules governing its spatiotemporal evolution. We quantitatively analyzed the influences and functional characteristics of TCEI in the four urban agglomerations of Pearl River Delta, Beijing-Tianjin-Hebei, the Yangtze River Delta, and Chengdu-Chongqing. Results show that the TCEI at different stages of urbanization in these urban agglomerations is increasing year by year. The overall city-level TCEI was ranked as follows: Pearl River Delta > Beijing-Tianjin-Hebei > Yangtze River Delta > Chengdu-Chongqing. Improvements in the level of economic development and urbanization will help achieve low-carbon development in a given urban agglomeration. The optimization of industrial structure and improvement of ecological environment will help curb carbon emissions. This paper provides decision-making references for regional carbon emission reduction from optimizing industrial and energy consumption structures and improving energy efficiency.

scholarly journals Spatial-Temporal Differences and Influencing Factors of Tourism Eco-Efficiency in China’s Three Major Urban Agglomerations Based on the Super-EBM Model

2020 ◽  
Vol 12 (10) ◽  
pp. 4156
Author(s):  
Yiyang Sun ◽  
Guolin Hou ◽  
Zhenfang Huang ◽  
Yi Zhong
Keyword(s):  
Pearl River Delta ◽  
Yangtze River ◽  
Eastern China ◽  
Yangtze River Delta ◽  
Tourism Industry ◽  
External Factors ◽  
River Delta ◽  
Policy Implications ◽  
Pearl River ◽  
Urban Agglomerations

On the background of climate change, studying tourism eco-efficiency of cities is of great significance to promote the green development of tourism. Based on the panel data of the three major urban agglomerations in China’s Yangtze River Delta, Pearl River Delta, and Beijing–Tianjin–Hebei region from 2008 to 2017, this paper constructed an evaluation index system and measured the tourism eco-efficiency of 63 cities by using a hybrid distance model called Super-EBM (epsilon-based measure). We compared the spatial and temporal evolution characteristics of tourism eco-efficiency in the three urban agglomerations. Furthermore, the internal factors influencing tourism eco-efficiency were explored through input–output redundancy, and the external factors were analyzed by a panel regression model. The results indicate that the tourism eco-efficiency of the three urban agglomerations in China generally shows a decreasing-rising-declining trend. Among them, the Yangtze River Delta has the highest eco-efficiency, followed by the Pearl River Delta, and the lowest in the Beijing–Tianjin–Hebei region. Moreover, there is a certain gap within each urban agglomeration. The redundancy input of labor and capital is the main internal cause of low eco-efficiency. Among the external factors, the status of the tourism industry and the level of urbanization have a positive effect on eco-efficiency, while the level of tourism development, technological innovation and investment have a negative impact on it. In the future, we must attach great importance to the development quality and overall benefit value of the tourism industry so as to achieve green and balanced development of the three major urban agglomerations in eastern China. Based on the above conclusions, this paper puts forward targeted policy implications to improve the tourism eco-efficiency of cities.

scholarly journals Factors Aggregating Ability and the Regional Differences among China’s Urban Agglomerations

2018 ◽  
Vol 10 (11) ◽  
pp. 4179 ◽  
Author(s):  
Chengliang Liu ◽  
Tao Wang ◽  
Qingbin Guo
Keyword(s):  
Pearl River Delta ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
Pearl River ◽  
Urban Agglomerations ◽  
The Pearl River Delta ◽  
The Pearl River ◽  
The Yangtze River Delta

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.

scholarly journals Spatially Explicit Assessment of Social Vulnerability in Coastal China

2019 ◽  
Vol 11 (18) ◽  
pp. 5075
Author(s):  
Xuchao Yang ◽  
Lin Lin ◽  
Yizhe Zhang ◽  
Tingting Ye ◽  
Qian Chen ◽  
...  
Keyword(s):  
Social Vulnerability ◽  
Urban Areas ◽  
Pearl River Delta ◽  
Yangtze River ◽  
Census Data ◽  
Yangtze River Delta ◽  
River Delta ◽  
Pearl River ◽  
Social Resilience ◽  
Effective Measure

Social vulnerability assessment has been recognized as a reliable and effective measure for informing coastal hazard management. Although significant advances have been made in the study of social vulnerability for over two decades, China’s social vulnerability profiles are mainly based on administrative unit. Consequently, no detailed distribution is provided, and the capability to diagnose human risks is hindered. In this study, we established a social vulnerability index (SoVI) in 2000 and 2010 at a spatial resolution of 250 m for China’s coastal zone by combining the potential exposure index (PEI) and social resilience index (SRI). The PEI with a 250 m resolution was obtained by fitting the census data and multisource remote sensing data in random forest model. The county-level SRI was evaluated through principal component analysis based on 33 socioeconomic variables. For identifying the spatiotemporal change, we used global and local Moran’s I to map clusters of SoVI and its percent change in the decade. The results suggest the following: (1) Counties in the Yangtze River Delta, Pearl River Delta, and eastern Guangzhou, except several small hot spots, exhibited the most vulnerability, especially in urban areas, whereas those in Hainan and southern Liaoning presented the least vulnerability. (2) Notable increases were emphasized in Tianjin, Yangtze River Delta, and Pearl River Delta. The spatiotemporal variation and heterogeneity in social vulnerability obtained through this analysis will provide a scientific basis to decision-makers to focus risk mitigation effort.

Research on China’s Regional Economic Linkages: Based on the Analyses of Carbon Emission Transfers and Labor Mobility

2019 ◽  
Vol 07 (02) ◽  
pp. 1950002
Author(s):  
Yawei QI ◽  
Zhiqin XU
Keyword(s):  
Carbon Emissions ◽  
Pearl River Delta ◽  
Carbon Emission ◽  
Regional Economy ◽  
Labor Mobility ◽  
Yangtze River Delta ◽  
River Delta ◽  
Pearl River ◽  
Coordinated Development ◽  
Emission Transfers

In the face of the dual challenges of coordinated development of regional economy and sustainable development, strengthening the regional economic linkages is critical to realizing the coordinated development of the regional economy based on the reasonable transfer of carbon emissions. Under the background of industrial transfer, the authors used the inter-regional input–output model to measure the carbon emissions and labor transfers among 30 provinces in 2002, 2007 and 2010, analyzed the relationship between labor mobility and the spatial transfer of carbon emissions and introduced their scales and directions into a gravity model to measure the economic relations among regions. The results show that the embodied carbon emission tends to transfer from western and northeastern China to central and eastern China, which is consistent with the direction of labor mobility, and both of them show the feature of spatial clustering. Under the effects of carbon emission transfers and labor mobility, the radiation effects of the central node provinces in China such as Guangdong, Zhejiang, Hebei, Beijing, Henan and Gansu have given rise to the integrated regional spatial organizations of Beijing–Tianjin–Hebei, Yangtze River Delta Pan-Pearl River Delta and northwestern China, among which Yangtze River Delta and Pan-Pearl River Delta enjoy a relatively stable structure.

Multi-indicator Evaluation and Analysis of Coordinated Industrial Development of Urban Agglomerations

2017 ◽  
Vol 05 (01) ◽  
pp. 1750006
Author(s):  
Xuan SUN
Keyword(s):  
Pearl River Delta ◽  
Industrial Development ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
Pearl River ◽  
Urban Agglomerations ◽  
The Pearl River ◽  
Indicator Evaluation ◽  
The Yangtze River Delta

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.

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