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Response of Indonesian mineral supply to global renewable energy generation:Analysis based on gravity model approach

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Geoscience Frontiers 2024年第4期15卷 383-396页

作者： Md.Monirul Islam Kazi Sohag Suleiman O.Mamman Heyvon Herdhayinta Graduate School of economics and Management Ural Federal UniversityYekaterinburgRussia Bangladesh Institute of Governance and Management(BIGM) University of DhakaBangladesh Department of Accounting Faculty of Economics and BusinessUniversitas Gadjah MadaIndonesia

The captivating surge of energy transitions in the major industrialized nations has elevated the global demand for critical *** demand pattern has enabled mineral-abundant emerging economies like Indonesia to enter the international market by exporting mineral ***,we investigate the Indonesian mineral export supply's response to the renewable energy production of the 18 clean energy-generating countries,considering crude oil and mineral prices,exchange rates,and economic growth of the resource and importer countries from 1990 to *** doing so,we apply the Poisson Pseudo-maximum Likelihood(PPML)approach to measuring the panel gravity model for mineral exports in *** a result,we observe a significant response of Indonesia's mineral export supply to the renewable energy generation of the 18 mineral importing ***,mineral and crude oil prices are insignificant,whereas the importer countries'exchange rates and income growth positively influence Indonesia's mineral export ***,Indonesia's income factor negatively affects its mineral export ***,we validate our results using an alternative estimator,the Driscoll-Kraay robust standard error estimation ***,our findings suggest implementing Indonesia's existing mineral policy to produce finished mineral goods to materialize the worldwide vision of energy transitions toward a crossroad of net-zero emissions by the middle of the current century.

关键词： Mineral export supply Energy transformation Gravity model PPML approach Indonesia Renewable energy-producing countries

The Tenth Anniversary of Free trade Pilot Zones in China:Fundamental Experiences and Enhancement Strategies

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China Economist 2024年第3期19卷 2-20页

作者： Pei Changhong Chinese Academy of Social Sciences Shanghai Research Institute BeijingChina University of international Business and economics Beijing

Since the 18th National Congress of the Communist Party of China,the country has established 21 Free trade Pilot Zones(FTZs),achieving significant pioneering results in reform and opening up and creating a strong demonstrative effect *** basic experience from a decade of FTZs includes:adhering to the centralized and unified leadership of the CPC Central Committee;combining top-level design with encouragement of grassroots innovation;leveraging the distinct characteristics and strengths of FTZs to form a differentiated development pattern;maintaining the integration of opening up with domestic reforms;using openness to drive reforms;and organically combining openness with national security *** the current and future new circumstances,China’s FTZs face new challenges and *** accordance with the directives of the 20th National Congress of the Communist Party of China,an enhancement strategy for the FTZs needs to be *** involves the following:First,accurately understanding and responding to the changing situation to create strategic ***,shifting paradigms to implement innovation-driven strategies,using the new development pattern concept to guide the reform experiments and construction of the ***,granting more autonomy to FTZs for reforms,pursuing progress while maintaining stability,and solidly advancing the reform experiments in the ***,orderly expanding the opening up of the service sector and cautiously advancing the internationalization of the ***,promoting innovative development in trade to build a strong trade ***,establishing synergy with bilateral FTZs,Belt and Road cooperation,and national diplomatic strategies to enhance the linkage effect.

关键词： Tenth anniversary of Free trade Pilot Zones experience summary enhancement strategy conception

How Do Chinese Exporting Firms Respond to Environment-related Notifications?A Green Innovation Perspective

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China & World Economy 2024年第5期32卷 1-27页

作者： Wen Chen Yinzi Fan School of economics Xiamen UniversityChina

Environment-related notifications play an important role in the coordinated development of trade and environment *** this paper,we examine how Chinese exporting enterprises responded to environment-related notifications implemented by the US through green innovation *** notifications significantly encouraged exporting firms to increase green innovation,as evidenced particularly by the number of green utility model patents *** effect was most pronounced in non-foreign-invested enterprises,high-total-factor-productivity firms,technology-intensive industries,and nongreen *** notifications also increased the probability of enterprises exiting the market while reducing the probability of new enterprises entering *** innovation motivation of surviving firms was higher than that of the new *** analysis also suggests that environment-related notifications had a crowding-out effect on other innovation rather than a leverage *** study offers important empirical evidence that helps enterprises to respond to green non-tariff measures effectively,enrich the existing literature,and provide practical guidance for both policymaking and corporate development.

关键词： difference-in-differences environment-related notification green innovation.tradeandenvironment JELcodes:F13 F14 O33

Assessment of coastal and mangrove vulnerability in the Andaman Island,Indian Ocean

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Geoscience Frontiers 2024年第5期15卷 47-60页

作者： Biswajit Mondal Rupesh K.Bhomia Ashis Kumar Saha Richard A.MacKenzie Department of Geography Delhi School of EconomicsUniversity of DelhiDelhi 110007India Centre for international Forestry Research(CIFOR) Jalan CIFORSitu GedeBogor BaratBogor 16115Indonesia Institute of Pacific Islands Forestry Pacific Southwest Research StationUSDA Forest ServiceHiloHI 96720USA

Coastal regions are highly susceptible to the effects of global warming,including rising atmospheric and sea surface temperatures,increased cyclone frequency,and sea level ***,it is imperative to examine coastal vulnerability to minimize the impact of multiple hazards and protect coastal resources,such as *** in India studying the vulnerability of coastal zones of Andaman and Nicobar Islands which fall in seismic zone V is critical for conservation *** conducted a vulnerability analysis of coastal zones impacted by the 2004 earthquake,causing varying degrees of ground upliftment and *** compared coastal vulnerability among sites that experienced uplift,no change,and subsidence(the southern portion).Our analysis utilized the Coastal and Mangrove Vulnerability Index(CVI and MVI)to measure and compare vulnerability in six zones distributed along uplift and subsidence ***-resolution satellite imagery including WorldView-2,3,and GeoEye-1 from year 2022 are utilized on this *** CVI and MVI offers a good way to measure and compare vulnerabilities across sites and offer insights for better *** CVI and MVI results indicate that approximately 34%of coastal grids and over 23%of mangrove grids across all zones are highly to extremely highly *** zones were found to be more vulnerable than uplifted *** findings suggest that large-scale natural disturbances such as tectonic displacement have the potential to impact coastal vegetation and mangrove cover can become even more *** conclusion,our study emphasizes the importance of vulnerability analyses in coastal regions,especially in areas prone to seismic *** findings have direct implications for conservation and restoration efforts and underscore the need for continued monitoring and mitigation efforts to safeguard coastal resources for long-term sustainability.

关键词： Mangroves Coastal vulnerability Mangrove vulnerability 2004 Indian Ocean earthquake Andaman Island

Variations of sediment organic phosphorus and organic carbon during the outbreak and decline of algal blooms in Lake Taihu,China

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Journal of Environmental Sciences 2024年第5期139卷 34-45页

作者： Jiehua Wang Xiuling Bai Wenchao Li Pingping Zhang Mengdi Zhang Haoran Wang Yingge Bai College of Geography and Environmental Science Henan UniversityKaifeng 475004China Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions(Henan University) Ministry of EducationKaifeng 475004China National Demonstration Center for Environment and Planning Henan UniversityKaifeng 475004China Surrey international Institute Dongbei University of Finance and EconomicsDalian 116000China

In this study,sediment organic phosphorus(OP)and organic carbon(OC)in Lake Taihu,China,as well as their relationships,were analyzed during the outbreak and decline of algal blooms(ABs)over a five-month field *** results showed synchronous temporal changes in the sediment OP and OC contents with the development of *** addition,there was a significant positive correlation between the sediment OP and OC(p<0.01),suggesting simultaneous deposition and consumption during the ABs *** sediment OP and OC contents decreased significantly at the early and last stages of the ABs outbreak and increased at the peak of the ABs outbreak and during the ABs *** temporal variation patterns suggest that the sediment OC and OP contents did not consistently increase during the ABs outbreak,even though algae are an important source of organic matter in *** depletion or enrichment of OC and OP in sediments may also depend on the scale of the ABs *** obtained results revealed significant differences in the sediment OC and OP contents between the months(p<0.05).In addition,OP in the sediments was dominated by orthophosphate diester(phospholipids and DNA-P)and orthophosphate monoester during the ABs outbreak and decline,*** active OC contents and proportions in the sediments in the ABs outbreak were significantly lower than those observed in the ABs decline period,demonstrating the significant impacts of the ABs outbreak and decline on the sediment OC and OP in Lake Taihu.

关键词： Algal blooms Organic phosphorus Organic carbon Sediment ^(31)P NMR Lake Taihu

Urban natural gas demand and factors analysis in China:Perspectives of price and income elasticities

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Petroleum Science 2022年第1期19卷 429-440页

作者： Jia-Man Li Xiu-Cheng Dong Qin-Zhe Jiang Kang-Yin Dong School of international trade and economics University of International Business and EconomicsBeijing100029China UIBE Belt&Road Energy trade and Development Center University of International Business and EconomicsBeijing100029China

Urban natural gas is becoming the main sector driving China’s natural gas consumption growth in recent *** study explores the impacts of urban natural gas price,wage,socioeconomic determinants,and meteorological conditions on urban natural gas demand in China over ***,this study also analyzes the potential regional heterogeneity and asymmetry in the impacts of gas price and income on China’s urban gas *** results reveal that:(1)The increased gas price can significantly reduce the urban gas demand,and the average income level may effectively promote the gas demand,also,a strong switching effect exists between electricity and natural gas in urban China;(2)these impacts are heterogeneous in regions among China,urban natural gas demand is largely affected by the gas price in regions with high-gas-price and by income in regions with low-gas-price;and(3)the impact of gas price on urban gas consumption is consistent in regions with different urban natural gas consumption,while the impact of income is *** study further provides several policy implications for improving the urban natural gas industry in China.

关键词： Urban natural gas demand Natural gas price Average wage Regional heterogeneity Asymmetry analysis

Forecasting measured responses of structures using temporal deep learning and dual attention

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Frontiers of Structural and Civil Engineering 2024年第6期18卷 832-850页

作者： Viet-Hung DANG Trong-Phu NGUYEN Thi-Lien PHAM Huan X.NGUYEN Department of Structural Mechanics Hanoi University of Civil EngineeringHanoi 11600Vietnam Faculty of Applied Science University of Economics-Technology for IndustriesHanoi 11600Vietnam London Digital Twin Research Centre Faculty of Science and TechnologyMiddlesex UniversityLondon NW44BTUK international School Vietnam National UniversityHanoi 11600Vietnam

The objective of this study is to develop a novel and efficient model for forecasting the nonlinear behavior of structures in response to time-varying random *** key idea is to design a deep learning architecture to leverage the relationships,between external excitations and structure's vibration signals,and between historical values and future values,within multiple time-series *** proposed method consists of two main steps:the first step applies a global attention mechanism to combine multiple-measured time series and time-varying excitation into a weighted time series before feeding it to a temporal architecture;the second step utilizes a self-attention mechanism followed by a fully connected layer to predict multi-step future *** viability of the proposed method is demonstrated via two case studies involving synthetic data from a three-dimensional(3D)reinforced concrete structure and experimental data from an 18-story steel ***,comparison and robustness studies are carried out,showing that the proposed method outperforms conventional methods and maintains high performance in the presence of noise with an amplitude of less than 10%.

关键词： structural dynamic time-varying excitation deep learning signal processing response forecasting

A Systematic Literature Review of Machine Learning and Deep Learning Approaches for Spectral Image Classification in Agricultural Applications Using Aerial Photography

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Computers, Materials & Continua 2024年第3期78卷 2967-3000页

作者： Usman Khan Muhammad Khalid Khan Muhammad Ayub Latif Muhammad Naveed Muhammad Mansoor Alam Salman A.Khan Mazliham Mohd Su’ud College of Computing and Information Sciences Karachi Institute of Economics and TechnologyKarachi75190Pakistan Faculty of Computing and Informatics(FCI) Multimedia UniversityCyberjaya63100Malaysia Faculty of Computing Riphah International UniversityIslamabad46000Pakistan Faculty of Engineering and Information Technology School of Computer ScienceUniversity of Technology SydneySydneyAustralia

Recently,there has been a notable surge of interest in scientific research regarding spectral *** potential of these images to revolutionize the digital photography industry,like aerial photography through Unmanned Aerial Vehicles(UAVs),has captured considerable *** encouraging aspect is their combination with machine learning and deep learning algorithms,which have demonstrated remarkable outcomes in image *** a result of this powerful amalgamation,the adoption of spectral images has experienced exponential growth across various domains,with agriculture being one of the prominent *** paper presents an extensive survey encompassing multispectral and hyperspectral images,focusing on their applications for classification challenges in diverse agricultural areas,including plants,grains,fruits,and *** meticulously examining primary studies,we delve into the specific agricultural domains where multispectral and hyperspectral images have found practical ***,our attention is directed towards utilizing machine learning techniques for effectively classifying hyperspectral images within the agricultural *** findings of our investigation reveal that deep learning and support vector machines have emerged as widely employed methods for hyperspectral image classification in ***,we also shed light on the various issues and limitations of working with spectral *** comprehensive analysis aims to provide valuable insights into the current state of spectral imaging in agriculture and its potential for future advancements.

关键词： Machine learning deep learning unmanned aerial vehicles multi-spectral images image recognition object detection hyperspectral images aerial photography

Exploring the impacts of major events on the systemic risk of the international energy market

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Petroleum Science 2024年第2期21卷 1444-1457页

作者： Ming-Tao Zhao Su-Wan Lu Lian-Biao Cui School of Statistics and Applied Mathematics Anhui University of Finance and EconomicsBengbu233030AnhuiChina Anhui Province Key Laboratory of Philosophy and Social Science of Low-Carbon Development and Carbon Finance Anhui University of Finance and EconomicsBengbu233030AnhuiChina

This study examines the systemic risk caused by major events in the international energy market(IEM)and proposes a management strategy to mitigate it. Using the tail-event driven network(TENET)method, this study constructed a tail-risk spillover network(TRSN) of IEM and simulated the dynamic spillover tail-risk process through the cascading failure mechanism. The study found that renewable energy markets contributed more to systemic risk during the Paris Agreement and the COVID-19pandemic, while fossil energy markets played a larger role during the Russia-Ukraine conflict. This study identifies systemically important markets(SM) and critical tail-risk spillover paths as potential sources of systemic risk. The research confirms that cutting off the IEM risk spillover path can greatly reduce systemic risk and the influence of SM. This study offers insights into the management of systemic risk in IEM and provides policy recommendations to reduce the impact of shock events.

关键词： international energy market Tail-risk spillover Cascading failure mechanism Systemic risk management