scholarly journals Green development of China’s Pan-Pearl River Delta mega-urban agglomeration

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tao Liu ◽  
Yue Li
Keyword(s):  
Developing Countries ◽  
Influencing Factors ◽  
Pearl River Delta ◽  
Technological Progress ◽  
River Delta ◽  
Urban Agglomeration ◽  
Pearl River ◽  
Efficiency Change ◽  
Urban Agglomerations ◽  
Green Development

AbstractMega-urban agglomerations in developing countries have been main parts of economic development. But at the same time, they have become the most prominent and sensitive areas of resource and environment problems. It is important to clarify the mechanism and driving factors of green growth in mega-urban agglomerations. Based on the panel data of 28 major cities in China's Pan-Pearl River Delta urban agglomeration from 2006 to 2015, this paper evaluates the level of green development of urban agglomeration by green total factor productivity index (GTFP) based on Global Malmquist DEA model, and decomposes GTFP into technological progress, pure technical efficiency change, scale efficiency change and technological scale change. On this basis, this paper constructs a panel econometric model to analyze the influencing factors of GTFP and its decomposition factors. The results show that GTFP of Pan-Pearl River Delta urban agglomeration is growing, and the scale effect caused by technological progress is the main driving factor. Green development in the Pearl River Delta urban agglomeration takes into account efficiency and regional fairness, which causes differences in GTFP growth patterns of sub-urban agglomerations within mega-urban agglomerations. The technological progress and technical efficiency improvement are becoming the main driving force of GTFP growth in relatively backward areas. Furthermore, according to the influencing factors of GTFP and its decomposition factors, mega-urban agglomeration should eliminate internal administrative barriers to build an integrated market. It should also increase the proportion of technology industries in core cities, and give full play to the role of technology spillover effect on surrounding cities. In addition, improving the efficiency of resource and energy utilization is also helpful to promote the transformation of urban agglomeration development from factor-driven to efficiency-driven and innovation-driven. Our research results have implications for the coordinated development of economy and environment in developing countries.

scholarly journals Deciphering the Manufacturing Production Space in Global City-Regions of Developing Countries—a Case of Pearl River Delta, China

2019 ◽  
Vol 11 (23) ◽  
pp. 6850
Author(s):  
Bo Liu ◽  
Desheng Xue ◽  
Yiming Tan
Keyword(s):  
Developing Countries ◽  
Influencing Factors ◽  
Pearl River Delta ◽  
Global City ◽  
River Delta ◽  
Pearl River ◽  
Spatial Characteristics ◽  
Multi Scale ◽  
City Regions ◽  
Production Space

In the context of economic globalization, the manufacturing production space in the global city-regions of developing countries have presented significant spatial characteristics, attracting attention to the problems of intensive and sustainable development of production space. Taking global city-region in the Pearl River Delta (PRD) as an example, manufacturing production space based on remote sensing (RS) technology and point of interest (POI) data extraction was more precise and continuous, which had more advantages for further analysis of spatial characteristics and influencing factors in multi-scale, and precise policy recommendations. The results show that: (1) under different scales, the distribution characteristics of manufacturing production space and the agglomeration characteristics of spatial form are different. It is not simply extensive agglomeration or diffusion that can accurately explain its diversified spatial characteristics. Meanwhile, for the local manufacturing production space optimization control, the local government should apply advanced experience according to local conditions instead of simply and roughly promotion or containment. (2) Influencing factors show a strong positive correlation with the urbanization rate, the number of foreign direct investment (FDI) enterprises and gross industrial production, and which shows a weak negative correlation with fixed asset investment and the employment population. In conclusion, the spatial characteristics of manufacturing production space in global city-regions in developing countries is significantly different from that in Western countries, and its influencing factors have similarities and differences. Therefore, when conducting multi-scale space optimization and sustainable regulation, the government should consider more about the actual multi-scale spatial characteristics of manufacturing production space and its influencing factors instead of copy the Western experience.

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.

scholarly journals Spatial Coupling and Causal Effects between the Recreational Use of Ecological Land and Restoration: A Case Study of the Pearl River Delta Urban Agglomeration

2021 ◽  
Vol 18 (19) ◽  
pp. 10124
Author(s):  
Fuyuan Wang ◽  
Rundong Feng
Keyword(s):  
Pearl River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
Pearl River ◽  
Land Restoration ◽  
Urban Agglomerations ◽  
Spatial Coupling ◽  
The Pearl River Delta ◽  
The Pearl River ◽  
Recreational Use

As the urbanization and industrialization of China’s urban agglomerations reach increasingly high levels, residents are voicing a growing demand for improved green public sport and recreational space. The coordination of ecological land restoration (ELR) and recreational use at the regional level is therefore urgent. This study demonstrates the spatiotemporal evolution of coupled ELR and the recreational use of ecological land (RUoEL) in the Pearl River Delta urban agglomeration based on spatial interpretation, remote sensing mapping, and spatial statistical analysis. A geographical and temporally weighted regression is used to test the spatial effects of the RUoEL on the evolution of the ELR patterns. The results show that the RUoEL (mainly greenways and ecological recreational spaces) and ELR exert a certain degree of coupled spatial characteristics, and that the former significantly impacts the latter. These spatial differences are more notable in areas with high-level ecological recreational spaces, or which are located near densely populated built-up areas. Recreation-oriented ELR is therefore relatively easy to develop in these areas. The results provide important guidelines for the development of ecosystem service patterns in urban agglomerations that include the coexistence of ELR and recreational use, which will strengthen the academic support for regional ELR planning and improve public health.

scholarly journals Characteristics and Influencing Factors of Urban Agglomeration Competitiveness in Pearl River Delta

2021 ◽  
Author(s):  
Jieyu LIANG ◽  
Bo TANG ◽  
Tingting HUANG ◽  
Pingping JIANG ◽  
Xiaolin YOU
Keyword(s):  
Influencing Factors ◽  
Pearl River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
Pearl River

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.

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