scholarly journals Spatio-temporal evolution and mechanism of regional innovation efficiency: Evidence from Yangtze River Delta Urban Agglomeration of China

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253598
Author(s):  
Xianzhong Cao ◽  
Bo Chen ◽  
Yuefang Si ◽  
Senlin Hu ◽  
Gang Zeng
Keyword(s):  
Yangtze River ◽  
Temporal Evolution ◽  
Returns To Scale ◽  
Yangtze River Delta ◽  
Spatial Inequality ◽  
River Delta ◽  
Urban Agglomeration ◽  
Regional Innovation ◽  
Spatio Temporal ◽  
Constant Returns To Scale

Regional innovation is an important research topic in economic geography, the spatio-temporal evolution and mechanism of regional innovation efficiency have recently become a hot for economic geographers. From the perspective of input and output efficiency, this paper constructs evaluation indicator of regional innovation, with the help of Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) models, and Malmquist indicator method of Data Envelopment Analysis (DEA), to analyze regional innovation performance, evolution trend, spatial differentiation, and evolution mechanism of Yangtze River Delta Urban Agglomeration (YRDUA) of China. The results show that: (i) Innovation efficiency of YRDUA is generally low, most of which is less than 80 percent of optimal efficiency; however, it kept rising from 2000 to 2015. (ii) Spatial inequality of regional innovation in YRDUA is significant, with a spatial pattern in the shape of “Z”, composed by Hefei, Nanjing, Shanghai, Hangzhou and Ningbo, innovation efficiency of Shanghai is higher than Zhejiang, Anhui and Jiangsu. (iii) Technology progress is the most important influencing factor, all kinds of changing indicator show a trend of rise, and the total factor productivity is changing significantly. This research can provide theoretical reference for the YRDUA to achieve high-quality integration.

scholarly journals Analysis of the spatio-temporal network of air pollution in the Yangtze River Delta urban agglomeration, China

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0262444
Author(s):  
Chuanming Yang ◽  
Qingqing Zhuo ◽  
Junyu Chen ◽  
Zhou Fang ◽  
Yisong Xu
Keyword(s):  
Air Pollution ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
Temporal Network ◽  
The Yangtze River ◽  
The Cross ◽  
Spatio Temporal ◽  
The Yangtze River Delta

The complex correlation between regions caused by the externality of air pollution increases the difficulty of its governance. Therefore, analysis of the spatio-temporal network of air pollution (STN-AP) holds great significance for the cross-regional coordinated governance of air pollution. Although the spatio-temporal distribution of air pollution has been analyzed, the structural characteristics of the STN-AP still need to be clarified. The STN-AP in the Yangtze River Delta urban agglomeration (YRDUA) is constructed based on the improved gravity model and is visualized by UCINET with data from 2012 to 2019. Then, its overall-individual-clustering characteristics are analyzed through social network analysis (SNA) method. The results show that the STN-AP in the YRDUA was overall stable, and the correlation level gradually improved. The centrality of every individual city is different in the STN-AP, which reveals the different state of their interactive mechanism. The STN-AP could be subdivided into the receptive block, overflow block, bidirectional block and intermediary block. Shanghai, Suzhou, Hangzhou and Wuxi could be key cities with an all above degree centrality, betweenness centrality and closeness centrality and located in the overflow block of the STN-AP. This showed that these cities had a greater impact on the STN-AP and caused a more pronounced air pollution spillovers. The influencing factors of the spatial correlation of air pollution are further determined through the quadratic assignment procedure (QAP) method. Among all factors, geographical proximity has the strongest impact and deserves to be paid attention in order to prevent the cross-regional overflow of air pollution. Furthermore, several suggestions are proposed to promote coordinated governance of air pollution in the YRDUA.

Spatio-temporal evolution and driving effects of the ecological intensity of urban well-being in the Yangtze River Delta

2021 ◽  
pp. 0958305X2110693
Author(s):  
Meijuan Hu ◽  
Suleman Sarwar ◽  
Zaijun Li ◽  
Nianxing Zhou
Keyword(s):  
Yangtze River ◽  
Temporal Evolution ◽  
Economic Effect ◽  
Well Being ◽  
Yangtze River Delta ◽  
River Delta ◽  
Sustainable Urban Development ◽  
The Yangtze River ◽  
Spatio Temporal ◽  
The Yangtze River Delta

The fundamental goal of sustainable urban development is to maximize human well-being with minimum ecological consumption. The ecological intensity of urban well-being (EIWB) achieves an effective linkage among economic, social, and ecological systems, and it is an effective indicator for evaluating urban sustainable development. This study analyzed the spatio-temporal evolution characteristics and driving effects of the ecological intensity of urban well-being over 2000–2019 in the Yangtze River Delta. It was found that as the ecological consumption per unit well-being output decreased gradually, the improvement in well-being level and the increase in ecological consumption were increasingly delinked, and regional EIWB and its sub-dimensions tended to fluctuate. Urban EIWB was dominated by low and lower levels, urban economic well-being (ECWB) was increasingly dominated by the lower type, and urban social well-being (SOWB) and environmental well-being (ENWB) were dominated by the low level. The resource consumption, technology, and well-being effects distinctively inhibited the decrease in regional EIWB and the economic effect exerted an obvious boosting function, whereas environmental consumption effect, scale effect, and efficiency effect had no obvious impact. The variation in urban EIWB was mainly driven by two-factor dominance, featuring economic and technological effects.

scholarly journals The Spatio-Temporal Analysis of Urban-Rural Coordinated Development and Its Driving Forces in Yangtze River Delta

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 495
Author(s):  
Daizhong Tang ◽  
Mengyuan Mao ◽  
Jiangang Shi ◽  
Wenwen Hua
Keyword(s):  
Influencing Factors ◽  
Yangtze River ◽  
Driving Forces ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
System Level ◽  
Actual State ◽  
Coordinated Development ◽  
Urban Rural

This paper conducts an analytical study on the urban-rural coordinated development (URCD) in the Yangtze River Delta urban agglomeration (YRDUA), and uses data from 2000–2015 of 27 central cities to study the spatial and temporal evolution patterns of URCD and to discover the influencing factors and driving forces behind it through PCA, ESDA and spatial regression models. It reveals that URCD of the YRDUA shows an obvious club convergence phenomenon during the research duration. The regions with high-level URCD gather mainly in the central part of the urban agglomeration, while the remaining regions mostly have low-level URCD, reflecting the regional aggregation phenomenon of spatial divergence. At the same time, we split URCD into efficiency and equity: urban-rural efficient development (URED) also exhibits similar spatiotemporal evolution patterns, but the patterns of urban-rural balanced development (URBD) show some variability. Finally, by analyzing the driving forces in major years during 2000–2015, it can be concluded that: (i) In recent years, influencing factors such as government financial input and consumption no longer play the main driving role. (ii) Influencing factors such as industrialization degree, fixed asset investment and foreign investment even limit URCD in some years. The above results also show that the government should redesign at the system level to give full play to the contributing factors depending on the actual state of development in different regions and promote the coordinated development of urban and rural areas. The results of this study show that the idea of measuring URCD from two dimensions of efficiency and equity is practical and feasible, and the spatial econometric model can reveal the spatial distribution heterogeneity and time evolution characteristics of regional development, which can provide useful insights for urban-rural integration development of other countries and regions.

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