Green economic efficiency in the Yangtze River Delta: spatiotemporal evolution and influencing factors

Wang, Zhenbo; Wang, Xinming; Liang, Lina

doi:10.1080/20964129.2018.1559000

Cited by 45 publications

(22 citation statements)

References 27 publications

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“…The spatial lag model can show that the change in PM 2.5 in the study region is not only a local independent variable, but also a function of the changes in PM 2.5 in other spatially associated regions; in other words, changes in PM 2.5 have spatial spillover effects. The spatial error model fully reflects the effect of changes from PM 2.5 pollution in the region on random disturbances that are not included in the model, while the spatial Dubin model fully considers the effects of PM 2.5 pollution that are not reflected on the model [ 42 ]. As the standard starting point for a spatial econometric model, the spatial Dubin model is a standard framework for capturing various spatial spillover effects.…”

Section: Methodsmentioning

confidence: 99%

The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration

Shan

Wang

et al. 2020

PLoS ONE

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The green development of coastal urban agglomerations, which are strategic core areas of national economic growth in China, has become a major focus of both academics and government agencies. In this paper, China's coastal urban agglomeration is taken as the research area, aiming at the serious air pollution problem of coastal urban agglomeration, geographic information system (ArcGIS10.2) spatial analysis and the spatial Dubin model were applied to National Aeronautics and Space Administration atmospheric remote sensing image inversion fine particulate matter (PM 2.5) data from 2010-2016 to reveal the temporal and spatial evolution characteristics and Influence mechanism of PM 2.5 in China's coastal urban agglomerations, with a view to providing a reference value for coordinating air pollution in the coastal cities of the world. From 2010-2016, the PM 2.5 concentration in China's coastal urban agglomerations decreased as a whole, and large spatial differences in PM 2.5 concentration were observed in China's coastal urban agglomerations; the core highpollution areas were the Beijing-Tianjin-Hebei, Shandong Peninsula, and Yangtze River Delta urban agglomerations. Large spatial differences in PM 2.5 concentration were also observed within individual urban agglomerations, with higher PM 2.5 concentrations found in the northern parts of the urban agglomerations. Significant spatial autocorrelation and spatial heterogeneity were observed among PM 2.5-polluted cities in China's coastal urban agglomerations. The northern coastal urban agglomerations formed a relatively stable and continuous high-pollution zone. The spatial Dubin model was used to analyze the driving factors of PM 2.5 pollution in coastal urban agglomerations. Together, meteorological, socioeconomic, pollution source, and ecological factors affected the spatial characteristics of PM 2.5 pollution during the study period, and the overall effect was a mixed effect with significant spatial variation. Among them, meteorological factors were the greatest driver of PM 2.5 pollution. In the short term, the rapid increase in population density, industrial emissions, industrial energy consumption, and total traffic emissions were the important driving factors of PM 2.5 pollution in the coastal urban agglomerations of China.

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Section: Methodsmentioning

confidence: 99%

The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration

Shan

Wang

et al. 2020

PLoS ONE

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“…In fact, the share of China's secondary industry is much larger than those of other countries at the same development level. The increase in the proportion of the tertiary industry has a positive impact on the improvement of regional energy efficiency (Wang et al 2019), as the development of the tertiary industry can reduce the city's excessive dependence on energy and make the city's energy consumption structure reasonable (Sun et al 2020). Thus, a shift from secondary to tertiary industry may be met with improvements in economic efficiency in China.…”

Section: The Determinants Of Environmental Performancementioning

confidence: 99%

The dynamics and drivers of environmental performance in Chinese cities: a decomposition analysis

Feng

Tang

2021

Environ Sci Pollut Res

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This paper examines urban environmental performance using a unique database of 286 Chinese cities for the period 2002-2014. Both the dynamics of urban total factor environmental efficiency and total factor environmental productivity are explored employing slack-based measures. The findings reveal a U-shaped trend of urban environmental performance over time during the sample period. Energy conservation and pollutant reduction were the key drivers of this transformation, while the deterioration in capital efficiency slowed down this transformation. In terms of regional and city-size heterogeneities, the eastern and large cities showed better environmental performance. In addition, environmental Kuznets relationship existed for waste water and SO 2 emissions, but not for CO 2 emissions.

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“…The LST data were obtained from the Terra MODIS 8-days composite products (version 6) with a spatial resolution of 1000 m. The MOIDS LST data were retrieved by a generalized split-window algorithm at 10:30 h (daytime) and 22:30 h (nighttime) local solar time. Some studies showed that the retrieval errors of MODIS LST were mostly <1 K and the root mean square (RMS) was <0.5 K [28]. Because of its high quality, free availability and wide coverage, MODIS LST data have been widely used in regional thermal environment studies.…”

Section: Datamentioning

confidence: 99%

Influence of the Economic Efficiency of Built-Up Land (EEBL) on Urban Heat Islands (UHIs) in the Yangtze River Delta Urban Agglomeration (YRDUA)

Shen

2020

Remote Sensing

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Currently, an urban agglomeration is a trend in global urbanization. With the continuous development of urban agglomerations, Chinese urban agglomerations have entered an era of high-quality development. Improving the economic efficiency of built-up land (EEBL) and maintaining a good ecological environment are important for promoting the high-quality development of urban agglomerations. Urban heat islands (UHIs) are one of the major ecological environmental problems affecting urban agglomerations. Therefore, it is meaningful to investigate the influence of the EEBL on UHIs in urban agglomerations. Based on the land-use data, MODIS land surface temperature (LST) data and gross domestic product (GDP) in the secondary and tertiary industries from 2000 to 2018, and electric power consumption data in 2018, this paper analyzed the influence of the EEBL on the surface urban heat island intensity (SUHII) in the Yangtze River Delta Urban Agglomeration (YRDUA). The results showed that most of cites in the YRDUA experienced rapid EEBL growth and a significant increase in heat island intensity from 2000 to 2018. There has been a significant positive correlation between the EEBL and the SUHII over the years, among which the EEBL had the strongest correlation (R = 0.76, p < 0.01) with the SUHII in 2000. Moreover, among the 27 cities in the YRDUA, 21 cities showed a significant uptrend of the SUHII with rising EEBL and the uptrend was significantly and negatively correlated with the electric power utilization efficiency (EPUE) of the secondary and tertiary industries (R = −0.6, p < 0.01). These results indicated that the EEBL of the secondary and tertiary industries had a significant influence on UHIs, which also reflected the significant influence of anthropogenic heat on UHIs to a certain extent. The findings of this paper can provide a scientific basis for mitigating the UHIs caused by the rapid economic development and promoting the high-quality development of urban agglomerations.

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Green economic efficiency in the Yangtze River Delta: spatiotemporal evolution and influencing factors

Cited by 45 publications

References 27 publications

The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration

The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration

The dynamics and drivers of environmental performance in Chinese cities: a decomposition analysis

Influence of the Economic Efficiency of Built-Up Land (EEBL) on Urban Heat Islands (UHIs) in the Yangtze River Delta Urban Agglomeration (YRDUA)

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