Use of artificial intelligence to assess mineral substance criticality in the French market: the example of cobalt

Andriamasinoro, Fenintsoa; Danino-Perraud, Raphael

doi:10.1007/s13563-019-00206-2

Cited by 4 publications

(3 citation statements)

References 36 publications

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“…For example, these approaches do not consider the geopolitical parameters of criticality (in the SR axis), the decision-making rules that explain flows and impacts, or the entire endogenous dimension of the economic-environmental link as explained in the introduction. Finally, they do not include the multi-scale aspect of criticality (in the VSR axis), whereas, for example, the criticality of lithium, cobalt and tungsten in Europe is not the same as that in France [15], even though France is one of Europe's member countries.…”

Section: International Journal Of Environmental Sciences and Natural Rementioning

confidence: 99%

A Dynamic and Endogenous Coupling of Environment and Economy as a Future Approach to Assessing Raw Material Criticality

Andriamasinoro¹

2021

IJESNR

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10 days while a mining project at the exploration stage today might only be operational in 10 years, yet the impact of this future mining operation in the current market should nevertheless be anticipated in decisions [3]. Regarding this prospective analysis of criticality, one of the questions (Q) would be: in an attempt to simultaneously reduce the economic and environmental costs along a given substance's processing chain, what are the levers (Pricing? Market share? Process?) that move the stakeholders involved at each stage? What decisions must also be taken (that can account for future events), knowing that these levers and decisions will change over time

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Section: International Journal Of Environmental Sciences and Natural Rementioning

confidence: 99%

A Dynamic and Endogenous Coupling of Environment and Economy as a Future Approach to Assessing Raw Material Criticality

Andriamasinoro¹

2021

IJESNR

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“…First, from its multi-scale angle: "a system is complex if it can be represented efficiently by different models at different scales". This also means that a model at a higher scale (space or time) is not representative enough to describe a model at a lower scale, necessitating the presence of both in the same system [7]. Secondly, from its multi-stakeholder and heterogeneity angles: "complexity of a system is the number of difficulties a viewer encounters while trying to understand it".…”

Section: Introduction 1planning and Managing Waste In A Region In France: A Complex Systemmentioning

confidence: 99%

“…But the simpler the model is, the easier it is to implement and analyse, and the sooner we are productive". With that approach, when the current version of a model malfunctions, it is "easier" to find the last cycle in which the model was stable to restart the model improvement from that point instead of from the beginning [7].…”

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confidence: 99%

Consideration of Complexity in the Management of Construction and Demolition Waste Flow in French Regions: An Agent-Based Computational Economics Approach

Andriamasinoro

Monfort

2021

Modelling

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For each region of France, there is currently a program to implement a plan for regional prevention and management of construction and demolition waste (CDW) used in the buildings and public works (e.g., roads) sector, also called the BTP (from the French Bâtiment et Travaux Publics) sector. To implement such a plan, its complexity must be considered; i.e., account (a) for how different scales are endogenously connected and (b) for decision-making rules at each scale being introduced. However, this complexity has rarely been taken into account in the literature. Using the PACA region as a case-study, this paper presents the first results of modelling that determines a hypotheses for the geographic distribution of the road renovation rate in each municipality (microscale) and Department (mesoscale) in a region of France. Such a renovation requires recycled aggregates (gravel) and asphalt supplies simultaneously. To consider this endogenous connection between scales, the model at the micro-scale must also be calibrated so the simulated values emerging at a higher-scale approach a supply–demand balance. We also discuss the transposition of the model to another French region (Ile-de-France). The method we used is the Agent-based Computational Economics (ACE) modelling approach. In addition, the coherent interplay between scales is determined by an approach called pattern-oriented modelling (POM). Our research revealed, at a thematic level, that for a circular economy to develop, the network of facilities in the territory is very important, and effective commercialization of secondary resources is major in the areas that group together recycling platforms and nearby asphalt plants. At a methodological level, our research revealed that in any multi-level modelling exercise, POM can be seen as an essential approach to accompany the ACE approach, particularly for a macroeconomic (here macro = regional) looping of a model designed at a microscale. However, convincing the BTP sector to integrate ACE/POM as a full part of a methodological support for regional prevention and management of CDW remains a challenge

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Investigating the impact of company announcements on stock prices: an application of machine learning on Australian lithium market

Kianrad,

Arani,

Hasani

et al. 2024

Miner Econ

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This paper investigates the effects of various types of announcements made by lithium producers on stock prices. We collected data from 40 lithium-producing companies listed on the world's largest stock exchanges, spanning from May 2020 to September 2022. To analyze the impact of announcements such as quoted and unquoted securities, market announcements, company reports, public meetings and presentations, financial announcements, and technical announcements on stock prices, we employed an extreme gradient boosting (XGBoost) model. Our results indicate that stock exchange market announcements and announcements about public meetings and presentations significantly influenced the stock prices of all eight large-cap companies studied. Announcements about public meetings and presentations were crucial predictors of stock prices for 73% of all companies analyzed. Additionally, positive financial announcements were key predictors for 70% of the companies. These findings suggest that investors should consider these predictors when making investment decisions in the lithium-related stock market. This study contributes to the existing literature by providing empirical evidence on the impact of different types of announcements made by lithium producers on stock prices. Furthermore, the XGBoost model used in this study can be applied to other industries and markets to analyze the impact of various types of announcements on stock prices.

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Use of artificial intelligence to assess mineral substance criticality in the French market: the example of cobalt

Cited by 4 publications

References 36 publications

A Dynamic and Endogenous Coupling of Environment and Economy as a Future Approach to Assessing Raw Material Criticality

A Dynamic and Endogenous Coupling of Environment and Economy as a Future Approach to Assessing Raw Material Criticality

Consideration of Complexity in the Management of Construction and Demolition Waste Flow in French Regions: An Agent-Based Computational Economics Approach

Investigating the impact of company announcements on stock prices: an application of machine learning on Australian lithium market

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