Croissance économique | EPFL Graph Search

thumb|upright=2|Contribution (en %) de la croissance des pays à celle mondiale (2011). La croissance économique désigne la variation positive de la production de biens et de services dans une économie sur une période donnée, généralement une longue période. En pratique, l'indicateur le plus utilisé pour la mesurer est le produit intérieur brut (PIB). Il est mesuré « en volume » ou « à prix constants » pour corriger les effets de l'inflation. Le taux de croissance, lui, est le taux de variation du PIB. On utilise souvent la croissance du PIB par habitant comme indication de l'augmentation de la richesse individuelle, assimilée au niveau de vie (à distinguer de la qualité de vie). La croissance est un processus fondamental des économies contemporaines, reposant sur le développement des facteurs de production, lié notamment à la révolution industrielle, à l'accès à de nouvelles ressources minérales (mines profondes) et énergétiques (charbon, pétrole, gaz, énergie nucléaire, etc.) ainsi

Seeking methods for improving sustainability in the extractive sector

Farnaz Eslamishoar

Extractive resources are indisputably a necessary component of international sustainable development. Despite current advancements in the circular economy, world production needs for raw materials are ever increasing, and still a long way remains for it to become rather independent from mineral resources. At the same time, mining has too many negative stories in news headlines about its trade-offs for the environment and human health, which hinders sustainable growth. This thesis deals with this integral dilemma in three chapters. In Chapter 1, I have made an extensive effort to understand the socio-political aspects of the mining business, both internationally and specifically in the context of a developing country, and on the issue of the corporate social responsibility the company requires. I then continued with gathering my primary sources of data for answering my first question: What are the primary social variables contributing to mining sustainability issues? I derived theories from Economic Growth in the Political Economy and Institutional Void from Management Science, trying to place my findings in a broader context. I concluded this chapter with underlying sociopolitical factors interfering with sustainable mining practices. This has led to the shaping of the second chapter of my thesis. Chapter 2 builds on the given that throughout the model of Economic Growth, technological change can happen within a shorter timeline and that new technologies lead to more efficiency in the Process Innovation. The mining industry is no exception. Yet, my quick review at the time revealed that this industry is lagging incumbent mainstream businesses in technological adoption. I therefore made my aim here to discuss conditions for transitions towards a more technologically innovative mining business. I surveyed mining firms internationally and noted the critical criteria for responsible practices. I then made what had been to my knowledge and ability, an exhaustive grouping of innovative technologies for the different sectors of mining firms. These tools granted me the ability to perform different multivariate analyses and decide on the best method for benchmarking different technology groups based on these criteria. In the later part of my thesis (Chapter 3), having these findings in hand and all experiences and observations in place with my assumptions, I decided to take one step back to ask whether the criteria I have for measuring mining sustainability are the correct measures by looking through the question using emerging data science tools. Are the sustainability scopes commonly discussed in the mining community the most crucial sustainability problems of this sector? Having the sustainability reports of all major international mining firms in hand, I evaluated around 3500 documents containing 8 million words discussing current sustainability matters pertaining to mining firms. Through implementing appropriate algorithms of Topic Modeling, I introduced five new main scopes for mining sustainability used to examine the discourse and groupings through this framework to observe any possible differences among the conventional and the generated lists. The results of my thesis are my two conceptual frameworks, technological benchmarking assessment tools, and a data-driven sustainability domains list, as well as the innovation policy recommendations for the mining community.

EPFL2021

Innovation capacity of the agricultural sector: network of productive interactions, knowledge transfer and differentiation mechanisms

Camille Marguerite Aouinait

Economic growth is increasingly explained and driven by knowledge acquisition and firmsâ capabilities to adapt to new evolving situations to fit economic, societal and environmental frames. Strategic behavior of private companies in differentiating and promoting their products and services is crucial for their competitiveness. In parallel, public research performed at different territorial levels and by a high diversity of actors is a strategic source of key assets adding value to the firms. External actors operate in a non-linear structure allowing frequent feedback and interactive loops in order to optimise the replies to substantial problems and constantly valorise their resources. These features are explored in the thesis through different projects. This dissertation is motivated by international negotiations in the frame of the GATT agreements and bilaterally between the European Union and Switzerland that are going towards the breakdown of borders, threatening the competitiveness of the Swiss agriculture. Negative externalities will affect small firms composing this agricultural network. Thus, the dissertation is focusing on innovation as a strategic asset to maintain the competitiveness and differentiate the domestic agricultural products. The first research project concentrates on interactions occurring in the Swiss apricot network. We investigate the types of interactions producing innovations that come from different sources that are internal or external to the agricultural production supply chain. We use network theory to model the structure of the domain and understand what is inherent to innovation production thanks to collaborations through an empirical work. In the second research project, we examine whether there is a connection between the issues faced by small companies producing food and the innovative solutions and knowledge generated by research institutions. The importance of solutions to daily activities conducted by companies depends on the nature of the sector. Thus, research projects providing outputs like publications might not specifically target these issues. Moreover, access, awareness and affordability of innovations can be hindering factors for small firms composing a low-technology intensive sector. Gaps of knowledge transfer, innovation and implementation are identified in this setting. In the last research project, we address market failures hampering economic and strategic management decisions encountered in the agricultural sector. We empirically construct two case studies highlighting the necessity of intellectual appropriation mechanisms. We explore the use of patents and regional trademark to add value to the emblematic product of a small region. Organisational and marketing innovations have to be supported and diffused by key stakeholders, aiming a good communication based on criteria that take into account diverse interests of those stakeholders; consumers have to be involved in the innovation process. Furthermore, knowledge transfer, innovation generation, diffusion and implementation rely upon the will of stakeholders to take part in an efficient process of interactions and communication in order to produce and perform useful products and services. Practical implications are levered in the projects presented. Finally, digital technologies are efficient for information exchange and can decrease time and transaction costs. These technologies are explored as part of the solution to small firmsâ

EPFL2019

Machine Tool Use Phase

Ioan Oliver Avram

This thesis is motivated from the fundamental decision problem in today's manufacturing industry which could be summarized as one simple question: how is it possible to achieve economic growth by taking advantage of the latest technologies while protecting the environment? The machine tool has undergone a remarkable change in recent years and the classical concept of an independent, manually operated machine tool, specially dedicated to a particular machining process no longer belongs to the production environment. The increasing usage of computer control and measuring equipment as well as workpiece and tool handling devices has transformed the machine tool into a sophisticated hybrid production system having a lower demand for human supervision of the process. All these efforts are gathered together in order to achieve a high productivity system able to machine different parts respecting quality requirements at the lowest cost. In addition, increasing attention to the environmental and health impacts by governmental regulations and by growing awareness in society is forcing manufacturers to find environmentally friendly designs and machining strategies. The objective of this research is to propose a multicriteria decision aid methodology (MCDA) for evaluation of the use phase of a machine tool system by jointly considering economical, technical and environmental criteria which allows the decision maker to be in a better position to make sustainable decisions. The evaluation is carried out at two levels by addressing the process level with its local cutting area effects and the main activities of the machine tool system by giving full consideration to reduction/elimination of the cutting fluid and reduction of the overall energy consumption. After carefully reviewing previous research, a consistent hierarchical evaluation criteria structure and an entity relationship diagram characterizing the organizational scheme of a database, which stores the data to be used in the evaluation process, is proposed for each level. As a second step, this thesis proposes a model for estimation of the mechanical energy requirements of the cutting subsystem of a machine tool based on the cutter location data, the cutting parameters and the technical specifications of the spindle and feed axes. The MCDA methodology and the energy consumption model were implemented in a software tool using the VBA (Visual Basic for Applications) language and was validated through various tests consisting in the machining of different milling and drilling features of a prismatic part by employing different cutting parameters and cooling/lubrication alternatives. In addition to the cutting tests, an extensive monitoring of the power share amongst the main subsystems of a modern machining center was carried out and a power data collection framework was proposed. The acquisition, interpretation and storage of the experimental data were supported by a measurement platform developed in the LabVIEW environment.

EPFL2010