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Zaijun Li
Research Institute of Central Jiangsu Development, Yangzhou University, Yangzhou, China

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Article
Published: 03 June 2021 in Applied Spatial Analysis and Policy
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The fundamental goal of sustainable urban development is to maximize the human well-being with minimum ecological consumption. Based on the comprehensive urban well-being and ecological consumption in the Yangtze River Delta from 2000 to 2017, this paper analyzed the spatio-temporal evolution characteristics and influencing factors of the ecological intensity of urban well-being (EIWB). The results show that the regional EIWB exhibited a declining annual trend, where less natural capital was consumed per-unit output of well-being. This suggested a gradual decoupling between urban well-being and natural capital consumption. The EIWB in most cities decreased at different rates and gradually evolved into low and lower type cities. In terms of coupling mode between comprehensive urban well-being and EIWB, the mode of low-EIWB with low-well-being and low-EIWB with high-well-being became increasingly dominant. The results also show the significant spatial association between comprehensive urban well-being and EIWB. The increase in urbanization level, the optimization of industrial structure, and the strengthening of environmental regulations had significantly negative effects on the EIWB. In contrast, population density and energy intensity had a positive and significant impact on EIWB, while the increase of consumption level had no significant influence on the EIWB.

ACS Style

Meijuan Hu; Yumeng Pang; Tao Jin; Zaijun Li. Spatio-Temporal Evolution of EIWB and Influencing Factors: An Empirical Study from the Yangtze River Delta. Applied Spatial Analysis and Policy 2021, 1 -26.

AMA Style

Meijuan Hu, Yumeng Pang, Tao Jin, Zaijun Li. Spatio-Temporal Evolution of EIWB and Influencing Factors: An Empirical Study from the Yangtze River Delta. Applied Spatial Analysis and Policy. 2021; ():1-26.

Chicago/Turabian Style

Meijuan Hu; Yumeng Pang; Tao Jin; Zaijun Li. 2021. "Spatio-Temporal Evolution of EIWB and Influencing Factors: An Empirical Study from the Yangtze River Delta." Applied Spatial Analysis and Policy , no. : 1-26.

Journal article
Published: 20 April 2021 in Sustainability
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Improving ecological well-being performance (EWP) is the essential requirement of green transformation development and ecological civilization construction. With the help of a network DEA model and threshold panel regression model, this study evaluated urban ecological well-being performance to explore the evolution process, impact, and optimization path of urban ecological well-being performance in the Yangtze River Delta from 2001 to 2017. The findings are as follows: (1) The ecological well-being performance of all cities in the region had been steadily improving since 2001, most cities had realized the transformation from a low performance level to a higher performance level, and there was an obvious spatial mismatch between urban economic development level and ecological well-being performance. (2) A regional urban ecological well-being performance development mode was constantly optimized, sustainable urban development ability was improved, and the number of high-high (HH) mode cities was gradually increasing while the number of low-low (LL) mode cities was gradually decreasing. (3) Under the influence of threshold variables of population density, industrialization level, and environmental regulation, the impact of urbanization on ecological well-being performance had different threshold characteristics. Economic growth, industrialization, and government macro-control had significantly negative restraining effects, while consumption level, industrial structure upgrading, energy efficiency, and technological innovation had significantly positive driving effects.

ACS Style

Meijuan Hu; Suleman Sarwar; Zaijun Li. Spatio-Temporal Differentiation Mode and Threshold Effect of Yangtze River Delta Urban Ecological Well-Being Performance Based on Network DEA. Sustainability 2021, 13, 4550 .

AMA Style

Meijuan Hu, Suleman Sarwar, Zaijun Li. Spatio-Temporal Differentiation Mode and Threshold Effect of Yangtze River Delta Urban Ecological Well-Being Performance Based on Network DEA. Sustainability. 2021; 13 (8):4550.

Chicago/Turabian Style

Meijuan Hu; Suleman Sarwar; Zaijun Li. 2021. "Spatio-Temporal Differentiation Mode and Threshold Effect of Yangtze River Delta Urban Ecological Well-Being Performance Based on Network DEA." Sustainability 13, no. 8: 4550.

Original article
Published: 06 July 2020 in Growth and Change
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Coordinated growth in regional economies is fundamental for sustainable economic development. In this study, the space‐time dynamics of GDP per capita for 2,303 counties in China from 1998 to 2015 were analyzed based on an exploratory space‐time data analysis (ESTDA) framework. The results showed that: (a) there was significant and increasing positive spatiotemporal correlation among county‐level economic growth; (b) local spatiotemporal correlation pattern demonstrated a high–high cluster at the eastern coast, and low–low dispersion in the vast central and western regions; (c) changes in LISA time trajectory revealed that economic growth in the coastal urban agglomeration and Inner Mongolia was more dynamic, indicating the emergence of a local spatial structure locking feature and trajectory dependence; and (d) industrialization and informatization were the two primary contributors to county economic growth. Our study suggests that Chinese government should construct network channels linking the central region with eastern China, cultivate economic growth poles and growth axis, and focus on technological innovation to unlock path dependence in county economic growth.

ACS Style

Zaijun Li; Meijuan Hu; Zhenyu Wang. The space‐time evolution and driving forces of county economic growth in China from 1998 to 2015. Growth and Change 2020, 51, 1 .

AMA Style

Zaijun Li, Meijuan Hu, Zhenyu Wang. The space‐time evolution and driving forces of county economic growth in China from 1998 to 2015. Growth and Change. 2020; 51 (3):1.

Chicago/Turabian Style

Zaijun Li; Meijuan Hu; Zhenyu Wang. 2020. "The space‐time evolution and driving forces of county economic growth in China from 1998 to 2015." Growth and Change 51, no. 3: 1.

Journal article
Published: 20 August 2015 in Letters in Spatial and Resource Sciences
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Understanding the spatial structure of regional economic development is of importance for regional planning and provincial development strategy making. Taking Jiangsu Province in the economically richest Yangtze Delta as a case study, this paper aims to explore regional economic development level on a provincial scale. Using the data sets from provincial statistical yearbook of 2010, eleven variables are selected for statistical and spatial analyses at a county level. Both the traditional principal component analysis (PCA) and its local version—geographically weighted PCA (GWPCA)—are employed to these analyses for the purpose of comparison. The results have confirmed that GWPCA is an effective means of analyzing regional economic development level through mapping its local principal components. It is also concluded that the regional economic development in Jiangsu Province demonstrates spatial inequality between the North and South.

ACS Style

Zaijun Li; Jianquan Cheng; Qi Yan Wu. Analyzing regional economic development patterns in a fast developing province of China through geographically weighted principal component analysis. Letters in Spatial and Resource Sciences 2015, 9, 233 -245.

AMA Style

Zaijun Li, Jianquan Cheng, Qi Yan Wu. Analyzing regional economic development patterns in a fast developing province of China through geographically weighted principal component analysis. Letters in Spatial and Resource Sciences. 2015; 9 (3):233-245.

Chicago/Turabian Style

Zaijun Li; Jianquan Cheng; Qi Yan Wu. 2015. "Analyzing regional economic development patterns in a fast developing province of China through geographically weighted principal component analysis." Letters in Spatial and Resource Sciences 9, no. 3: 233-245.