Spatial temporal patterns and driving factors of industrial pollution and structures in the Yangtze River Economic Belt

Wang, Yazhu; Duan, Xuejun; Wang, Lingqing; Zou, Hui

doi:10.1016/j.chemosphere.2022.134996

Cited by 38 publications

(16 citation statements)

References 68 publications

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“…According to the primary emission standard in the Comprehensive Emission Standard for Pollutants (GB8978-1996), C COD, max =0.06 g/m 3 and C (TN), max =0.015 kg/m 3 . According to the natural background concentration, C nat is 0 (Bai and Sun, 2018), the nitrogen fertilizer leaching rate was selected as 13.82% (Pang et al, 2021). The values of livestock excretion were obtained from the "Technical Report on the Survey of Pollution in the National Scale Livestock and Poultry Breeding Industry".…”

Section: Regional Grey Water Footprintmentioning

confidence: 99%

How to measure the ecological compensation threshold in the upper Yangtze River basin, China? An approach for coupling InVEST and grey water footprint

Guan

Cheng³

et al. 2022

Front. Earth Sci.

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Defining a reasonable and feasible watershed ecological compensation threshold is the key to protecting watershed ecological functions and maintaining the sustainable utilization of watershed ecosystems. However, many studies have obtained compensation values that are too high to promote the implementation of ecological compensation policies. This study chose the upper reaches of the Yangtze River as the research area, taking water resources closer to people’s daily needs as the evaluation object. Based on the InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) model and grey water footprint method, the ecological compensation threshold model for water resources was established. Combined with the eco-compensation priority sequence coefficient identification of protected areas and beneficiary areas and allowed for the measurement of the watershed ecological compensation value in 2015 and 2020. Finally, compare the advantages and disadvantages of different ecological compensation calculation methods, compare the gap between different watershed ecological compensation standards and the theoretical threshold globally. The results showed that from 2015 to 2020, the value of the water content in the upper reaches of the Yangtze River increased, while the value of the grey water footprint decreased. The classified watershed ecological compensation beneficiary areas were mainly concentrated in the central-eastern and southern parts of the upper Yangtze River, while the ecological compensation protected areas were concentrated in the western and northwestern parts. The mean absolute values of the watershed ecological compensation thresholds for each prefecture-level city and state ranged from 0.43 to 24.63 billion CNY in 2015 and from 0.67 to 41.60 billion CNY in 2020, which were close to the actual values. Among the different land-use types, the water conservation service value per unit area of shrubs was the highest. The lower limit value of watershed ecological compensation calculated using the grey water footprint method was closer to the amount of compensation in practice than was the commonly used opportunity cost method. The findings of the study can help improve the watershed ecological compensation mechanism in the upper Yangtze River region, promote win–win cooperation among transboundary watershed areas, and form a harmonious and stable green development model.

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Section: Regional Grey Water Footprintmentioning

confidence: 99%

How to measure the ecological compensation threshold in the upper Yangtze River basin, China? An approach for coupling InVEST and grey water footprint

Guan

Cheng³

et al. 2022

Front. Earth Sci.

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“…China's 13th Five-Year Plan identifies the YREB strategy as one of the three major regional development strategies in China. The YREB is the most concentrated region for industrial development in China, and its industrial land supply area accounted for 51.7% of the total industrial supply area in China in 2019, with 47% of China's petrochemical industry, 53% of nonferrous metal smelting, and 42% of the tanning industry located along the Yangtze River [27]. The YREB is China's most important manufacturing cradle, gathering more than 40% of the country's total industrial output.…”

Section: Study Areamentioning

confidence: 99%

Spatial Effects of the Land Supply Scale of Different Industrial Sectors on High-Quality Development in the Yangtze River Economic Belt

Zhang

et al. 2022

Land

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The industrial land supply impacts regional high-quality development, with various impacts across sectors. Considering China’s Yangtze River Economic Belt (YREB), this paper uses entropy weighting, spatial analysis, and the spatial Durbin model for spatiotemporal and regional analysis of the high-quality development level (HDL) and its spatial correlation with the industrial land supply. (1) The annual average HDL in all cities of the YREB increases, the regional HDL is spatially unbalanced and decreases from downstream–midstream–upstream, and HDL overlaps with economic development spatiotemporally. (2) The increase in high-tech industrial land supply promotes local HDL, and the raw material industrial land supply promotes HDL more indirectly than directly. (3) The land supply of the industrial supporting service, processing, food and light textile, and raw material industries has significant indirect effects. Processing has the strongest positive spillover effect, and food and light textile has a significant negative spillover effect. The HDL equilibrium in the YREB increased from 2010 to 2019, and the clustering of the processing, industrial supporting service, and food and light textile industries aggravated the spatial imbalance. (4) The regional structure and layout of the industrial land supply should be optimized to promote the HDL of the YREB.

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“…Therefore, exploring the efficiency of green use of urban land is of great practical significance to solve the problem of ecological environment improvement lagging behind urbanization development, and to promote the coordinated development of economy, society and ecology (Cui et al, 2021;Lu et al, 2022). Among China's economic regions, the Yangtze River Economic Belt is not only one of the regions with the strongest comprehensive strength and the greatest strategic support, but also a leading demonstration zone and ecological security barrier zone for ecological civilization construction, and an important position to promote the coordinated development of China's economic regions (Yin et al, 2021;Tan and Zou, 2022;Wang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze river economic belt, China

Cui

Li²,

Qiu³

2023

Front. Environ. Sci.

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In this study, we calculate the urban land green use efficiency (ULGUE) in the Yangtze River Economic Belt from 2005 to 2019 by using the epsilon-based measure (EBM) model. Further, the spatial-temporal distribution, regional differences and evolution trends of ULGUE in the Yangtze River Economic Belt are investigated in depth by using the Dagum Gini coefficient, Kernel Density estimation and Markov Chain method. The following results are obtained. 1) From the perspective of spatial-temporal evolution, the ULGUE in the Yangtze River Economic Belt show a fluctuating upward trend from 2005 to 2019, and it is manifested as diffusion from downstream to middle and upper reaches. 2) From the perspective of regional differences, there is a relatively obvious imbalance of ULGUE within the Yangtze River Economic Belt, but the differences narrow over time. 3) Considering the distribution dynamic evolution, the box diagram and distribution curve of ULGUE in the Yangtze River Economic Belt have a tendency to move to high values, but there is a more obvious phenomenon of spatial polarization. 4) For the part of time and space transfer, the ULGUE within the Yangtze River Economic Belt show the characteristic of “club convergence”, and the Spatial Markov Chain results show an obvious “spatial spillover” effect.

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Spatial temporal patterns and driving factors of industrial pollution and structures in the Yangtze River Economic Belt

Cited by 38 publications

References 68 publications

How to measure the ecological compensation threshold in the upper Yangtze River basin, China? An approach for coupling InVEST and grey water footprint

How to measure the ecological compensation threshold in the upper Yangtze River basin, China? An approach for coupling InVEST and grey water footprint

Spatial Effects of the Land Supply Scale of Different Industrial Sectors on High-Quality Development in the Yangtze River Economic Belt

Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze river economic belt, China

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