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Yulu Hao, Mengdi Li, Jianyu Wang, Xiangyu Li and Junmin Chen
The development and functional perfection of urban areas have led to increasingly severe fire risks in recent decades. Previous urban fire risk assessment methods relied on subjective judgment, rough data collection, simple linear statistical methods, et...
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Mega Barokatul Fajri,Guruh Marhaenis Handoko Putro,Jennifer Farihatul Bait,Ira Megasyara
Pág. 21 - 42
This research aims to analyze each of the operational and financial factors that can be used as variables influencing decisions and the intensity of hedging. There are two test analysis model used in this study, the first to test the company decision to ...
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Andini Kurniasari, Shanty Oktavilia
Pág. 84 - 99
The diversion of regional characteristics in Indonesia costs the country countless economic issues, primarily poverty. This study aims to analyze the influence of gross regional domestic product, life expectancy, the average length of schooling, domestic...
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Zengzheng Wang, Yangyang Zhao and Fuhao Zhang
Geographically weighted regression (GWR) is an effective method for detecting spatial non-stationary features based on the hypothesis of proximity correlation. In reality, especially in the social and economic fields, research objects not only have spati...
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Demetrio Antonio Zema, Bruno Gianmarco Carrà and Manuel Esteban Lucas-Borja
Several studies have analyzed the changes in individual soil properties and covers and quantified the hydrological response of burned forest soils (with or without post-fire treatment). Less research exists on the influence of these changes on runoff and...
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Abdurrauf Babalola
Pág. 039 - 052
Covid-19 pandemic woes have caught across almost every international activity in the world today, which makes many economies to be in a cross-road whether the COVID-19 pandemic is the cause of these woes or not. In this regard, this study investigated th...
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Luisanna Cocco, Roberto Tonelli and Michele Marchesi
In this paper, we investigate the role of Bitcoin as a safe haven against the stock market losses during the spread of COVID-19. The performed analysis was based on a regression model with dummy variables defined around some crucial dates of the pandemic...
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Algirdas Justinas Staugaitis and Bernardas Vaznonis
Motivated by increased agricultural commodity price volatility and surges during the past decade, we investigated whether financial speculation is to blame. The aim of this paper is to build on prior research about to what extent and in which ways financ...
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Lina Yuan, Long Li, Ting Zhang, Longqian Chen, Weiqiang Liu, Sai Hu and Longhua Yang
This study aims to integrate multisource data to model the relative soil moisture (RSM) over the Chinese Loess Plateau in 2017 by stepwise multilinear regression (SMLR) in order to improve the spatial coverage of our previously published RSM. First, 34 c...
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Alexandre Aidov and Olesya Lobanova
Prior studies that examine the relation between market depth and bid?ask spread are often limited to the first level of the limit order book. However, the full limit order book provides important information beyond the first level about the depth and spr...
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