Identifying key sectors based on cascading effect along paths in the embodied CO2 emission flow network in Beijing-Tianjin-Hebei region, China

Jia, Nanfei; Gao, Xiangyun; An, Haizhong; Sun, Xiaoqi; Jiang, Meihui; Liu, Xiaojia; Liu, Donghui

doi:10.1007/s11356-020-08217-1

Cited by 10 publications

(2 citation statements)

References 188 publications

(305 reference statements)

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“…This chain of reduced financial flows can spread through the system, potentially leading to positive feedback dynamics and resulting in a strong reduction of the total net worth of financial institutions (Calvo et al, 2004). Relevant research has confirmed the cascade conduction effect of networks and the impact of network structure on network function (Jia et al, 2020;Jia et al, 2019;Li et al, 2022;Li et al, 2018).…”

Section: Theoretical Backgroundmentioning

confidence: 97%

Modeling the systemic trade risk of crude oil from a network perspective, combined with a sentiment proxy

et al. 2023

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Introduction: Trade networks of crude oil are susceptible to cascade of initial shocks that increase systemic trade risks and threaten energy security. This study introduces a novel method of modelling systemic trade risk of crude oil which is combined with a sentiment proxy from a network perspective.Method: We construct sentiment instability to evaluate the uncertainty of crude oil trade in a country and use the PageRank algorithm to measure supplier diversity from a network perspective instead of direct trade partners.Result: At the global level, we show that the distribution of systemic oil trade risk has an obvious heterogeneity and a significant negative correlation between systemic trade risk of crude oil and trade volume volatility. At the regional level, we compare the systemic trade risk of crude oil between China and America and systemic trade risks show strongly significant correlations with the price volatility in both China and America. Furthermore, the structure of trade network can effectively reduce the systemic risk in America while it increases the systemic trade risk in China.Discussion: Our results can give a reason for an irrational practice of Chinese crude oil imports which are “buying when the price is rising and not buying when the price is declining”.

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Section: Theoretical Backgroundmentioning

confidence: 97%

Modeling the systemic trade risk of crude oil from a network perspective, combined with a sentiment proxy

et al. 2023

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“…With the sense of responsibility, China has not stopped ecological civilization (Gu et al,2020). China is striving to peak carbon dioxide emissions by 2030 and achieve carbon neutral by 2060 Jia et al,2020). The main objectives of Chinese government are: by 2025, the economic system of green, low-carbon and cyclic development will have taken initial shape, and the efficiency of energy use in key sectors will have increased significantly.…”

Section: Introductionmentioning

confidence: 99%

Panel Data Analysis of Energy Conservation and Emission Reduction On High-Quality Development of Logistics Industry in Yangtze River Delta of China

Fan

Liu

Shao

et al. 2021

Preprint

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With the implementation of China's carbon neutrality policy, the Yangtze River Delta region, as a benchmark for the development of China's logistics industry, calls for great concern, accompanying the energy consumption and environmental problems. In order to explore how China's logistics industry can achieve both energy conservation and emission reduction (ECER) and high-quality development in the context of carbon neutrality, this study analyzes the relationship between the development of logistics industry and the economy, energy together with environment in the Yangtze River Delta region based on the data of China Statistical Yearbook from 2001 to 2019, by means of the Entropy method and PVAR model. The main findings are summarized as follows: firstly, the economy, industrial structure, energy and environment all have significant impact on the development of logistics industry in Yangtze River Delta region. Secondly, the development of logistics industry in Yangtze River Delta region is not balanced, and the provinces including Jiangsu, Shanghai, Zhejiang and Anhui have great differences in economy, industrial structure, demographic dividend, energy consumption and environmental protection, and the possibility of complementary advantages. Thirdly, the economic development and energy consumption are two-way effects. Environmental protection is relevant to economic development, industrial structure, energy consumption and logistics supply. Finally, in the context of carbon neutrality, this paper gives some suggestions on how to realize the high-quality development of logistics industry in Yangtze River Delta region while considering energy consumption and environmental protection.

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Carbon‐trade nexus: The embodied carbon emission transfer network of China's sustainable development demonstration belt

Tan,

Xu,

Bao

et al. 2024

Sustainable Development

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Uncovering energy‐related carbon emission transfer networks and assessing its structure and efficiency can help reshape the regional carbon‐trade nexus. Combining the social network analysis and interregional input–output model, our study estimates the carbon trade patterns from various perspectives and explores the topological characteristics of energy‐related carbon emission transfer networks within China's green development demonstration belt. Furthermore, carbon pressure index is used to identify key area for the regional carbon reduction. Results indicate that the three reaches are in descending order of embodied carbon emissions whether from the production or consumption perspectives when most of provinces are in the status of “carbon overload.” Furthermore, the total embodied carbon transfers with the large amounts occur at the provinces that are adjacent to each other. In terms of degree centrality, Jiangsu, Anhui, and Zhejiang dominate the carbon emission transfer network within the region, whereas Jiangxi, Sichuan, and Zhejiang serve as the main intermediaries and bridges. As a result, the findings should provide policymakers with new insights into how to formulate more targeted strategies for carbon management in different provinces and sectors.

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Identifying key sectors based on cascading effect along paths in the embodied CO2 emission flow network in Beijing-Tianjin-Hebei region, China

Cited by 10 publications

References 188 publications

Modeling the systemic trade risk of crude oil from a network perspective, combined with a sentiment proxy

Modeling the systemic trade risk of crude oil from a network perspective, combined with a sentiment proxy

Panel Data Analysis of Energy Conservation and Emission Reduction On High-Quality Development of Logistics Industry in Yangtze River Delta of China

Carbon‐trade nexus: The embodied carbon emission transfer network of China's sustainable development demonstration belt

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