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地学前缘(英文版)
地学前缘(英文版)

莫宣学

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1674-9871

geofrontier@cugb.edu.cn

010-82322283,82321855

100083

北京市海淀区学院路29号中国地质大学（北京）期刊中心

地学前缘(英文版)/Journal GEOSCIENCE FRONTIERSCSCDCSTPCD北大核心SCI
查看更多>>GEOSCIENCE FRONTIERS (GSF) is a quarterly journal that publishes in English significant original research articles and high quality reviews of recent advances in all fields of Earth Sciences — including stratigraphy and paleontology, mineralogy and petrology, economic geology and minerals and fuel exploration, structural geology, lithospheric tectonics, environmental and engineering geology, hydrogeology, astrogeology, marine geology, and geophysics and geochemistry. Technical papers, case histories, reviews, and discussions are welcomed.
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    Resource savings,recycling and utilization,and energy transition:Introduction

    Xin ZhaoUmer ShahzadAviral Kumar Tiwari
    185-187页
      原文链接:
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    Evolution of the rare earth trade network:A perspective of dependency and competition

    Jilan XuJiahao LiVincent CharlesXin Zhao...
    189-197页
    查看更多>>摘要：As a global strategic reserve resource,rare earth has been widely used in important industries,such as military equipment and biomedicine.However,existing analyses based solely on the total volume of rare earth trade fail to uncover the underlying competition and dependency dynamics.To address this gap,this paper employs the principles of trade preference and import similarity to construct dependency and competition networks.Complex network analysis is then employed to study the evolution of the glo-bal rare earth trade network from 2002 to 2018.The main conclusions are as follows.The global rare earth trade follows the Pareto principle,and the trade network shows a scale-free distribution.China has emerged as the world's largest importer and exporter of rare earth since 2017.In the dependency net-work,China has become the most dependent country since 2006.The result of community division shows that China has separated from the American community and formed new communities with the Association of Southeast Asian Nations(ASEAN)countries.The United States of America has formed a super-strong community with European and Asian countries.In the competition network,the distribu-tion of competition intensity follows a scale-free distribution.Most countries face low-intensity compe-tition,but there are numerous competing countries.The competition related to China has increased significantly.Lastly,the competition source for the United States of America has shifted from Mexico to China,resulting in China,the USA,and Japan becoming the core participants in the competition network.
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    Do natural resources impact economic growth:An investigation of P5+1 countries under sustainable management

    Sanjeet SinghGagan Deep SharmaMagdalena RadulescuDaniel Balsalobre-Lorente...
    199-215页
    查看更多>>摘要：Natural resources represent the base of our living and the entire economic activity.Their depletion is a major challenge for the economic development of both developed and developing economies.Their effi-cient use is an indispensable requirement and must be the aim of the public policies designed by the authorities worldwide.In this research,we have investigated the impact of the natural resources rent on the economic growth in some major wealthy economies of the world(P5+1 countries namely:US,UK,France,China,Russia,and Germany).We have applied a quantile-on-quantile regression to analyse this impact on different quantiles and a cross-sectional autoregressive distributed lag(CS-ARDL)approach for the panel of these six countries.The Dumitrescu-Hurlin panel causality test was also used to check the causality between natural resource rents and economic growth in these countries.Results show a negative relationship between natural resources rent and economic growth for the panel but a different impact on quantiles in each country.Only for China and the US,a positive effect can be noticed for both lower and higher quantiles of natural resources and economic growth.The Dumitrescu-Hurlin causality test shows that natural resources can predict economic growth only in China,the U.S.,and the panel.In contrast,no causality was found for the other four countries included in the panel.We sug-gest that nations invest in wind and solar projects,use biofuels and nuclear energy,introduce a tempo-rary profit tax to protect consumers from escalating energy prices,and increase energy efficiency in buildings and industry.Businesses would benefit from a regulatory framework that is uniform and exhaustive,as well as easier to traverse and more receptive to innovation and creativity.Public-private partnership investments in innovation,innovation incentives,and environmental sector opportunities may foster long-term economic growth.
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    Role of circular economy,energy transition,environmental policy stringency,and supply chain pressure on CO2 emissions in emerging economies

    Sunil TiwariKamel Si MohammedGrzegorz MentelSebastian Majewski...
    217-228页
    查看更多>>摘要：This paper investigates the effect of the circular economy on CO2 emissions growth by considering the role of energy transition,climate policy stringency,industrialization,and supply chain pressure from 1997 to 2020 using panel quantile Autoregressive Distributed Lags(QARDL)and the panel PMG.We employ cointegration association in the long run among the variables,and the results of the two models confirm this.Findings reveal that circular economy and climate policy stringency significantly negatively impact carbon emissions.On the other hand,the energy transition,industrialization,and supply chain pressures are crucial to determining CO2 emissions in the short and long run.The finding further explores that municipal waste generation recycling is considerable at the mean and upper 90th quantiles than the lower quantile.Therefore,the empirical results of the current study provide acumens for policymakers of advanced economies and emerging markets to maintain the balance among circular economy,energy transition,environmental policy stringency,and supply chain pressure for reducing CO2 emissions with-out halting economic growth and sustainable development.Furthermore,practical implications are reported through the lens of carbon neutrality and structural changes.
      原文链接:
    • NETL
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    Investigating spatio-temporal characteristics and influencing factors for green energy consumption in China

    Xiaowei MaShimei WengJun ZhaoHuiling Liu...
    229-244页
    查看更多>>摘要：The green transformation of energy consumption is beneficial for promoting green development in China.This study constructed a green energy consumption evaluation index system and measured the green energy consumption levels in 30 provinces of China from 2000 to 2019 using the fuzzy comprehensive evaluation method.This study further employed the spatial Durbin model to examine influencing factors and spillover effects of green energy consumption.The results showed that,temporally,China's green energy consumption levels had a fluctuating upward trend.While,spatially,the overall levels of green energy consumption in China showed apparent characteristics of"high in the west and low in the east".In terms of influencing factors,environmental regulations played an important role in promoting green energy consumption in the region,while economic development,opening up,and industrial structure had considerably inhibiting effects.Additionally,economic development,opening up,and industrial structure of neighboring regions showed marked positive spillover effects,while urbanization level and technological innovation showed substantial negative spillover effects.The regional heterogeneity test results showed that environmental regulation and industrial structure rationalization were the important factors for promoting green energy consumption in the eastern region,environmental regula-tion played an important driving role in the central region,and opening to the outside world and tech-nological innovation helped improve the level of green energy consumption in the western region.
      原文链接:
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    Effect of geopolitical risk and economic uncertainty indices on renewable energy

    Xin ZhaoKamel Si MohammedYaohui WangPawe? St?pień...
    245-255页
    查看更多>>摘要：In this study,the relationships between five renewable energy sub-sectors markets and the geopolitical risk(GPR)and economic uncertainty indices(EUI)were examined using daily data from March 30,2012,to April 1,2022.Convergent cross mapping results show that the renewable energy indices have definite relationships with the GPR and EUI.The renewable energy indices show differences in response direc-tions,speed and trends for a standard information difference impulse from the GPR and the EUI.A pos-itive dynamic conditional correlation between renewable energies and EUI was observed in the first and second waves of the COVID-19 outbreak.In contrast,there was a relatively decreased effect for two risk indices during the Russia-Ukraine conflict of February-March 2022.Our results show that renewable energy may act as a time-varying hedge against economic uncertainty and GPR owing to its safe-haven properties at various scales.Moreover,building more secure and reliable renewable energy sys-tems can help countries to increase their energy independence,which protects them against the risks of political and economic uncertainty.
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    Morpho-anatomical adaptations of dominantly grown wild Datura inoxia to wastewater resource:Productivity and ecological issues

    Taimoor Hassan FarooqShagufta JabeenAwais ShakoorMuhammad Saleem Arif...
    257-267页
    查看更多>>摘要：With the increasing global water scarcity,wastewater irrigation has become widespread,but it can have detrimental ecological consequences.Although wastewater contains valuable nutrients for plants,impro-per treatment or the use of untreated wastewater in irrigation can negatively impact soil fertility and plant growth.This study is divided into two parts:firstly,a phytosociological survey was conducted to identify plant species with the highest importance value index(IVI)in the vicinity of wastewater-irrigated areas.Secondly,a comparative morpho-anatomical analysis was carried out to investigate the morpho-anatomical adaptations of the species with the highest IVI under wastewater irrigation com-pared to normal water irrigation.The results of the phytosociological survey revealed the presence of 51 plant species in the vicinity of the wastewater-irrigated areas,with varying relative densities and cov-erage.Datura inoxia exhibited the highest IVI(28.79),followed by Xanthium strumarium(24.34),while Lippia nodiflora showed the lowest IVI(1.86).The morphological growth of D.inoxia was superior under normal water irrigation,but the average root length was greater under wastewater irrigation.Regarding cell anatomy,cell thickness and cell area characteristics in the dermal,ground,and vascular tissues of the stem and root tended to be greater under wastewater treatment.However,the opposite trend was observed in leaf anatomical analysis,possibly due to the combined effect of wastewater and climatic con-ditions.Stem and root xylem thickness were greater under wastewater irrigation,whereas phloem thick-ness was higher under normal water irrigation.The number of vascular bundles in the stem,root,and leaf was higher under wastewater treatment compared to normal water irrigation,but their arrangement was circular in the latter and scattered under wastewater irrigation.Datura inoxia demonstrated strong adap-tive potential under wastewater irrigation,as indicated by its highest relative density,coverage.and IVI,suggesting its suitability for phytoremediation.However,due to the low relative density,coverage,and IVI of many other species,the use of untreated wastewater for irrigation cannot be appreciated.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Implication of machine learning techniques to forecast the electricity price and carbon emission:Evidence from a hot region

    Suleman SarwarGhazala AzizAviral Kumar Tiwari
    269-281页
    查看更多>>摘要：The current study examines the significant determinants of electricity consumption and identifies an appropriate model to forecast the electricity price accurately.The main contribution is focused on eastern region of Saudi Arabia,a relatively hottest geographical area full of energy resources but with different electricity consumption patterns.The relative irrelevance of temperature as predicting factor of electric-ity consumption is quite surprising and contradicts the previous studies.In the eastern region,electricity price has negative association with electricity consumption.While comparing traditional and machine learning,it is found that machine learning techniques offer better predictability.Amongst the machine learning techniques,the support vector machine has the lowest errors in forecasting the electricity price.Additionally,the support vector machine approach is used to forecast the trend of carbon emissions caused by electricity consumption.The findings have policy implications and offer valuable suggestions to policymakers while addressing the determinants of electricity consumption and forecasting electricity prices.
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    Understanding inter-term fossil energy consumption pathways in China based on sustainable development goals

    Xiaoxiao ZhouFangyuan XieHui LiChenbin Zheng...
    283-294页
    查看更多>>摘要：Sustainable development goals(SDGs)and fossil energy are the core elements of almost all major chal-lenges and opportunities for achieving social development.Particularly,energy sustainability has become one of the pivotal drivers of China's economy.This study constructed a comprehensive evaluation index system for the provincial-level sustainable development of fossil energy in China covering three major dimensions(socio-economic,resource,and environmental).Moreover,a set of criteria for measuring the SDGs of fossil energy at the national level in China was developed.Based on the provincial panel data collected from 30 provinces from 2010 through 2019,a spatial econometric model was applied to empir-ically evaluate the effects of SDGs on fossil energy consumption.The results showed that the SDGs not only promote the reduction of fossil energy consumption with substantial negative spatial spillover effects,but also revealed differences between northern and southern China.To promote the early achievement of sustainable fossil energy development in China,the transformation and upgradation of fossil energy systems should be conducted early and inter-regional cooperation should be strengthened according to local conditions to jointly achieve the SDGs.
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    Towards net zero carbon buildings:Accounting the building embodied carbon and life cycle-based policy design for Greater Bay Area,China

    Hanwei LiangXin BianLiang Dong
    295-308页
    查看更多>>摘要：Carbon mitigation of buildings is critical to promote a net-zero society.The international society has vig-orously promoted"Net Zero Carbon Buildings"across the globe,and accounting for building carbon emis-sions is critical to support this initiative.Embodied carbon,which represents carbon emissions from the entire lifecycle of the buildings,is fundamental for realizing the idea of zero carbon.However,only lim-ited studies have been conducted so far that take into account the city scale.This paper aimed to act as a first try to account for the embodied carbon emissions in buildings in 2020 for the Guangdong-Hong Kong Macau Greater Bay Area in China(GBA).We integrated remote sensing techniques such as night-time light data(NLT)and building material flows analysis to calculate and spatialize the newly generated building material stocks(MS).Based on the MS data,we further applied life cycle assessment(LCA)to assess the embodied carbon in the buildings.The results highlighted that over 163 million tons of embod-ied carbon in buildings of GBA are expected to be generated,from 497 million tons of newly generated building MS in 2020.The embodied carbon in each life cycle stage is valuable for further lifecycle-based policy designs for:(ⅰ)supporting the updating of the green building certification system with con-sideration of the embodied carbon;(ⅱ)promoting the green building material application and certifica-tion;and(ⅲ)reducing the embodied carbon intensity from compact urban planning policy,such as the urban agglomeration policies in GBA.The goal of this paper was to shed a light on reducing carbon emis-sions from the perspective of the entire lifecycle and promote the development of net zero carbon build-ings in China and Asia-Pacific.
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    • NSTL
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