Multi-objective coordinated development paths for China's steel industry chain based on “water-energy-economy” dependence

Liu, Yanxin; Chen, Wei; Liu, Xueyong; Shi, Jingxin; Liu, Ning; Ren, Huijun; Ulgiati, Sérgio

doi:10.1016/j.jclepro.2022.133421

Cited by 10 publications

(3 citation statements)

References 35 publications

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“…The harmonious development of the WEC system in the Yellow River basin is driven by a multitude of factors. Guided by existing research [31][32][33][34] and theoretical analyses of the three-system coupling and coordinated development, this study selected pertinent variables from four aspects: economic basis, industrial structure, technological innovation, and openness to the outside world (see Table 2). (1) Economic basis (EB): acting as an internal catalyst, the economic base propels the integrative and harmonious progression of the WEC system within the Yellow River basin.…”

Section: Selection Of Driving Factorsmentioning

confidence: 99%

Research on the Coupling Evaluation and Driving Factors of Water–Energy–Carbon in the Yellow River Basin

Liu

Huang

et al. 2023

Water

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Taking 57 prefecture-level cities in the Yellow River basin as a research area, this study evaluates the coupling coordination level of the water–energy–carbon (WEC) system in the Yellow River basin from 2012 to 2021 and explores the driving factors of coupling coordinated development. The study revealed that: (1) the development level of the three subsystems all showed an upward trend. The development level of the carbon system exhibited the highest level. The development index of the carbon and energy systems rose steadily, whereas the development index of the water system fluctuated considerably during the research period, although the magnitude of the fluctuation gradually slowed down. (2) The coupling coordination degree displayed a distribution characteristic of “high in the east and low in the west, high in the south and low in the north”. While the coupling coordination degree improved year by year, the spatial heterogeneity gradually increased. (3) The coupling coordination degree presented a positive correlation, and the agglomeration level was dominated by “high-high” and “low-low” agglomeration types. The “high-high” agglomeration area had a certain degree of spatial mobility, while the “low-low” agglomeration areas showed a tendency for spreading towards the middle reaches of the Yellow River basin. (4) Technological innovation, and the economic basis, had a significant positive impact on the coupling coordinated development, while the industrial structure bias showed a clear inhibitory effect. The positive role of opening up is not yet significant. Meanwhile, the indirect effect of each driving factor was greater than the direct effect.

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Section: Selection Of Driving Factorsmentioning

confidence: 99%

Research on the Coupling Evaluation and Driving Factors of Water–Energy–Carbon in the Yellow River Basin

Liu

Huang

et al. 2023

Water

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“…After entering the 21st century, China's total energy consumption began to grow rapidly, and it is generally believed that industrialization is the core factor contributing to the rapid growth of energy consumption; the development of industrialization will increase the scale of industrial utilization and energy utilization is the key to industrial development [1][2]. As China's industrialization progresses, the rapid growth of energy consumption brings a series of energy and environmental problems, such as air pollution, ecological damage, and climate change [3].…”

Section: Introductionmentioning

confidence: 99%

Regional spatial econometric Analysis of carbon footprint of energy consumption based on clustering algorithm

Yang,

Luo,

Liu

et al. 2024

Applied Mathematics and Nonlinear Sciences

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The structure of energy consumption and reducing the carbon footprint has become an important issue in the field of carbon and energy conservation. This paper adopts spatial econometric Analysis to construct a framework for analyzing the influencing factors of carbon emissions based on the STIRPAT model. It applies the K-means algorithm to effectively cluster and classify the energy consumption of different regions. Then, the article analyzed these clustering results in depth using the Kaya constant equation to calculate the carbon emissions of each area. The results of the carbon footprint analysis reveal that the Gini coefficient of carbon emissions in the eastern region peaked at 0.352 in 2014, while decreasing to a low of 0.284 in 2019. the western and central areas have the highest Gini coefficients of carbon emissions at 0.271 and 0.248, respectively. furthermore, from 2015 to 2022, the ecological pressure on the carbon footprint of the whole industry has always remained at 3.033 above, reaching a historical high of 3.433 in 2022.The application of this paper not only helps to solve the problems in the existing carbon footprint evaluation methods, but also provides a scientific basis for more effective management and reduction of carbon emission.

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“…As research continues, multi-system coupling studies have been carried out by intercalating water, energy, and other elements, as well as investigating their nexus. Examples include water-energy-food [32], water-energy-economy [33], water-land-energy-food [34,35], and water-energy-food-carbon [36] systems. At this stage, scholars recognize that the processes of water utilization and energy extraction will inevitably pose a threat to the health of the ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Relationship Identification between Water-Energy Resource Utilization Efficiency and Ecological Risk in the Context of Assessment-Decoupling Two-Stage Framework—A Case Study of Henan Province, China

Zhong,

Zuo,

et al. 2023

Water

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The situation of resource utilization and eco-environment protection remains critical globally. The harmony between eco-environment health and water-energy utilization efficiency is a strong support for the realization of high-quality development. In this paper, an Assessment-Decoupling two-stage framework was developed to investigate the relationship between water-energy resource utilization and ecological security. In detail, an improved input-output indicator system was constructed to assess the water-energy resource utilization efficiency (WEUE), and its influencing factors were examined from multiple system perspectives; then, we intended to evaluate the ecological risk (ER) from a raster-scale perspective based on land-use types; and finally, the decoupling idea was introduced to quantify the fitness relationship of the above two aspects. The framework was applied to Henan Province, China. The study found that: (1) the WEUE of Henan Province shows a “W” pattern of development during 2000–2020; in 2000–2010, the WEUE of South Henan declined, while in 2010–2020, the WEUE of Henan Province gradually improved, with significant increases in various districts. (2) The ecological risk index (ERI) in Henan Province generally shows a decreasing trend, and the spatial difference is more obvious, with the high-risk areas mainly concentrated in the central, east, and south Henan, and the west of Henan is mainly a low-risk area. (3) There is strong spatial variation in the decoupling states of WEUE and ERI of the 18 districts in Henan Province, and the differences become more pronounced over time. The number of districts with a strong negative decoupling state has been increasing during the entire period, and a total of 14 districts have reached the above state in 2020. The developed framework offers a new idea for clarifying the relationship between resource utilization and ecological conditions, and the obtained results can provide data support for the realization of sustainable development.

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Multi-objective coordinated development paths for China's steel industry chain based on “water-energy-economy” dependence

Cited by 10 publications

References 35 publications

Research on the Coupling Evaluation and Driving Factors of Water–Energy–Carbon in the Yellow River Basin

Research on the Coupling Evaluation and Driving Factors of Water–Energy–Carbon in the Yellow River Basin

Regional spatial econometric Analysis of carbon footprint of energy consumption based on clustering algorithm

Relationship Identification between Water-Energy Resource Utilization Efficiency and Ecological Risk in the Context of Assessment-Decoupling Two-Stage Framework—A Case Study of Henan Province, China

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