Risk assessment for oil leakage under the common threat of multiple natural hazards

Qin, Guojin; Zhang, Peng; Hou, Xiangqin; Wu, Sen; Wang, Yihuan

doi:10.1007/s11356-020-08184-7

Cited by 49 publications

(18 citation statements)

References 48 publications

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“…Researchers agree that consumption-based accounting is more reasonable for pollutant emissions and energy consumption [32,33]. Therefore, in previous studies on carbon footprint, input-output models have been widely used [34,35].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Chen et al tracked the use of freshwater resources in global supply chains [43]. Based on the current research status of a large number of embodied SO 2 emissions exported from China, Liu and Wang reexamined the export of hidden pollutants in various provinces [33]. In the existing research, the MRIO model is mostly used to calculate the total amount of pollutants or energy to show the current state.…”

Section: Literature Reviewmentioning

confidence: 99%

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Determinants of Oil Footprints Embodied in Sino-US Trade: A Perspective from the Globalizing World

et al. 2020

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Oil plays an important role in global resource allocation. With the continuous development of the global supply chain, trade has brought a great impact on oil consumption. However, few studies have been focused on the oil consumption embodied in trade, that is, the oil footprints. Therefore, based on the multi-regional input-output model and structural decomposition model, this paper investigates the evolution and driving factors of the oil footprint between the two countries with the largest oil consumption in the world (China and the United States). By measuring the flow of oil footprint in bilateral trade, their trade transactions are analyzed at the national and industry levels. The results show that in Sino-US trade, China is a net exporter of virtual oil and the trade surplus is huge. The United States is the main destination of China’s virtual oil consumption exports. In 2004, China’s embodied oil net exports flowing into the US even exceeded its total net exports. Low value-added, high-consumption manufacturing is the main channel for China’s virtual oil to flow to the United States, which reflects that China is still at the bottom of the value chain. The most important factor in promoting exports’ growth is the scale effect of demand, followed by the input structure effect of intermediate products. The technical effect is an important force to curb the growth of oil footprints. This requires China and the United States to accelerate technological progress and reduce energy consumption intensity. At the same time, China should continue to optimize its trade structure, encourage the export of high-value-added products, and strive to climb the global value chain.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Determinants of Oil Footprints Embodied in Sino-US Trade: A Perspective from the Globalizing World

et al. 2020

Self Cite

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“…As a necessary condition for agricultural production, the quantity and quality of labor force will affect the level of agricultural output. Agricultural employees represent the scale of labor input in agricultural production, referring to the rural population over the age of 16 who participate in agricultural production and business activities and obtain income in kind or money [23,41]. Cultivated land is the carrier of agricultural production, and crop planting area reflects the input scale of land elements [26,29].…”

Section: Evaluation Model Of Agricultural Tfpmentioning

confidence: 99%

“…Therefore, it is of great significance to study the transformation mechanism and potential obstacles of agricultural development in underdeveloped regions [36]. Gansu Province, as a region with poor resource endowments and fragile ecological environment in western China, its agricultural development has the typical characteristics of underdeveloped regions [40][41][42]. Here, by evaluating agricultural TFP in Gansu Province, we constructed a model for identifying agricultural transformation stages of less developed regions.…”

Section: Introductionmentioning

confidence: 99%

Identification of Transformation Stages and Evolution of Agricultural Development Types Based on Total Factor Productivity Analysis: A Case Study of Gansu Province, China

Chen

Che

et al. 2020

Agriculture

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Agricultural transformation is a transition process of agriculture from the low development stage to the high development stage. Identifying the agricultural transformation stage and analyzing the evolution of agricultural development types based on Total Factor Productivity (TFP) are of great significance for the rational formulation of agricultural development policies. Based on the total factor productivity analysis framework, the DEA-Malmquist index model was used to measure the agricultural TFP of the 87 counties in Gansu Province from 1988 to 2017. The cumulative anomaly method was used to help identify agricultural transformation stages. Agricultural development types of counties in different stages and their evolution process were analyzed. Results show that (1) the agricultural transformation of Gansu Province can be divided into three stages: Traditional agriculture in 1988–1998; low-capacity technology agriculture in 1999–2011; and high-capacity technology agriculture in 2012–2017. (2) From 1988 to 2017, the agricultural TFP showed periodic U-shaped fluctuations, and the areas with high TFP value expanded from the central region to the western region and then to the entire region of the province. (3) Gansu Province presented a significant spatiotemporal variation of agricultural development types. From 1988 to 1998, type-I (low technological efficiency and slow technological progress) and type-VI (high technological efficiency and fast technological progress) agricultural development was mainly observed, and these two kinds of counties accounted for 55.17% of all evaluation units. From 1999 to 2011, the number of counties with type-I agricultural development increased significantly, reaching 35, followed by the number of counties with type IV (low technological efficiency) agricultural development, reaching 18. They together accounted for 60.92% of all evaluation units. From 2012 to 2017, the number of counties with type-IV and type-VI agricultural development was the largest, reaching 29 and 25, respectively. They together accounted for 62.07% of all evaluation units. (4) Types of agricultural development frequently change—from 1988 to 2017, the influencing factors of agricultural development had undergone a transition from both technological efficiency and technological improvement to technological efficiency or technological improvement alone.

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“…The frequent fires of engineering projects under construction have caused serious safety accidents, caused serious property losses and casualties, and brought extremely bad social impacts [ 3 ]. At the same time, it will also affect the sustainable development of society and the environment [ 4 ]. Therefore, the fire risk of engineering projects under construction has attracted the attention of all sectors of society.…”

Section: Introductionmentioning

confidence: 99%

Fire risk assessment of high-rise buildings under construction based on unascertained measure theory

Liu

et al. 2020

PLoS ONE

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To prevent fire accidents in high-rise buildings under construction, in this paper, the fire risk assessment of such buildings is studied. First, based on project investigation and a literature review, a fire risk assessment index system suitable for high-rise buildings under construction was established. Second, the unascertained measure theory was applied to establish a fire risk assessment model for high-rise buildings under construction. The index weight was determined by the entropy weight method. Finally, taking a high-rise building project in Xi’an, China, as an example, the feasibility and rationality of the fire risk assessment index system and assessment model were verified. This research provides a new method for objectively assessing the fire risk of high-rise buildings under construction and provides a certain reference for controlling the fire risk of high-rise buildings under construction.

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Risk assessment for oil leakage under the common threat of multiple natural hazards

Cited by 49 publications

References 48 publications

Determinants of Oil Footprints Embodied in Sino-US Trade: A Perspective from the Globalizing World

Determinants of Oil Footprints Embodied in Sino-US Trade: A Perspective from the Globalizing World

Identification of Transformation Stages and Evolution of Agricultural Development Types Based on Total Factor Productivity Analysis: A Case Study of Gansu Province, China

Fire risk assessment of high-rise buildings under construction based on unascertained measure theory

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