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The paradox of resource‑richness:unraveling the effects on financial markets in natural resource abundant economies
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作者 Muhammad Imran Muhammad Kamran Khan +2 位作者 Salman Wahab Bilal Ahmed Zhang Jijian 《Financial Innovation》 2025年第1期1748-1777,共30页
In the contemporary global landscape,understanding the nexus between financial inclusion and natural resource abundance is crucial,especially for resource-rich nations.This study uses diagnostic tests and method of mo... In the contemporary global landscape,understanding the nexus between financial inclusion and natural resource abundance is crucial,especially for resource-rich nations.This study uses diagnostic tests and method of moments quantile regression to examines this interplay across Australia,Brazil,Canada,China,India,Russia,and the United States.We find that achieving financial inclusion is significantly challenging for countries that heavily rely on natural resources.Diversified income sources and equitable wealth distribution are essential to mitigate these challenges.Additionally,we identify a positive correlation between economic development and financial inclusion,highlighting the mutually reinforcing relationship between growth and inclusivity.Our research also reveals a notable link between adopting renewable energy and improving financial inclusion,suggesting that environmental responsibility and financial accessibility are intertwined.Foreign direct investment has nuanced impacts on financial inclusion,adding depth to our understanding.Overall,stable income from natural resources and diversified economic development emerge as key promoters of financial inclusion.These insights advocate for regionally specific policies and lay a solid foundation for future research and informed policymaking that address financial inclusion challenges and advance sustainable development. 展开更多
关键词 Financial inclusion Natural resource rents Sustainable development Energy consumption Foreign direct investment Method of moments quantile regression
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Comparison of alternative route selection strategies based on simulation optimization 被引量:2
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作者 Ye Bojia Lance Sherry +1 位作者 Chen Chun-Hung Tian Yong 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2016年第6期1749-1761,共13页
Air traffic flow management(ATFM) is a collaborative process between the airspace provider and the airspace users. The result of the collaboration should be an outcome that maximizes the utility of the system without ... Air traffic flow management(ATFM) is a collaborative process between the airspace provider and the airspace users. The result of the collaboration should be an outcome that maximizes the utility of the system without excessively penalizing any of the agents. This paper develops a discrete-event simulation model which consists of aggregate departure/arrival airports, flight routes, and sectors for evaluating the alternative collaborative route selection strategy. Given the different perspectives from air traffic control center(ACC) and airlines, eight performancemetrics and five alternative route selection strategies represent the past, current and proposed air traffic flow management operations that were evaluated. The Monte Carlo method combined with the Optimal Computing Budget Allocation(OCBA) simulation optimization technique is employed to assess the performance of different strategies. A case study of the upper air routes in central and southern China shows that the proposed model can be readily implemented to simulate different kinds of air traffic flow management strategies and predict the effect of changes on the airspace system. It also shows that the proposed alternative collaborative route selection strategy is an effective way in alleviating the en-route traffic congestion. 展开更多
关键词 Air traffic control Decision support systems Discrete-event simulation Monte Carlo methods OCBA
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