Jean Bonnet

The digital entrepreneurship indicator (DEI), which combines individual and institutional data, is designed to chart the vitality of metropolitan areas in terms of digital entrepreneurship on a suburban scale. In this study, we apply it to the case of the Greater Paris Metropolitan area. Using geographically weighted regression, we explore the spatial heterogeneity of the effect of digital entrepreneurial ecosystems on the location quotient of information and communication technology firms with fewer than 10 employees. The results highlight a positive link between the DEI and the location quotient of small ICT firms. In particular, the aspects of both ATTitudes and CAPacities (i.e., urbanization economies, Human Development Index, density of incubators, accounting and financial services, and fiber optic coverage) appear to have a significant effect on a suburban scale.

Environmental issues have become a major concern for policymakers faced with the threat of global warming. The European Climate Energy Package is an ambitious plan which drives the trajectories of European countries in three directions: reducing greenhouse gas emissions, increasing the share of renewable energy and improving energy efficiency. This article is original in that it considers the three targets together using multidimensional data analysis methods, a methodology which makes it possible to propose temporal and spatial typologies for the energy transition of European countries over the period 2000–2019. Results show evidence of a gradual transition over three sub-periods towards a more environmentally conscious economy. Four distinct types of energy transition profiles are identified, highlighting the contrasting performances of EU Members in terms of energy transition. In particular, some economically more advanced countries, namely Germany, Ireland, Belgium, Luxembourg and the Netherlands, are lagging in achieving their targets. Finally, discriminant analyses suggest that economic performance, trade performance, innovation system and policy mix design have been particularly effective in promoting energy transition over the period 2000–2019, while only innovation system helps to explain the contrasting results observed at country level over that time.

L’article propose un cadre d'évaluation permettant de comparer empiriquement les performances des EPCI normands en termes de Développement Durable (DD) et selon six dimensions : Environnement et Ressources Naturelles, Transition Énergétique, Mobilité Durable, Dynamisme Économique, Cohésion Sociale et Solidarité, Gouvernance et Citoyenneté. Considérant un large éventail de variables, nous construisons des indices composites agrégés pour chaque dimension du DD. Nous utilisons un support cartographique pour comparer les performances des EPCI dans chacune des six dimensions. Ensuite, une classification hiérarchique ascendante met en évidence six profils types de DD. Enfin, les résultats permettent d'identifier les forces et les faiblesses des EPCI normands dans la mise en œuvre des politiques publiques de DD.

Environmental issues have become a major concern for policymakers faced with the threat of global warming. An ambitious plan “The European Climate Energy Package” drives trajectories of European countries in three directions: reducing greenhouse gas emissions (GHG), increasing the share of renewable energy and improving energy efficiency. Considering the three targets together and using multidimensional data analysis methods constitutes the originality of the article, the methodology used makes it possible to propose temporal and spatial typologies of the energy transition of European countries over the period 2000–2015. Results show evidence of a gradual transition over three sub-periods towards a more environmentally conscious economy. Results highlight the backwardness of the great Western European countries in achieving the goals assigned to them. Finally, discriminant analyses suggest that policy mix design and innovation system are the key drivers of the energy transition over the sub-period 2011–2015. However, they do not contribute to discriminate the contrasted performances between countries on the same sub-period.

Since the adoption of the Sustainable Development Goals by the United Nations, sustainability has been a key priority for European governments. While previous studies have investigated the associations between indicators of sustainable development, few have directly considered a multidimensional approach to assess and compare the performance of regions in terms of sustainable development. As such, a comprehensive assessment of regional sustainable performance is thus still needed. In this paper, the concept of sustainability relies on the construction of six composite indices (environment and natural resources, energy transition, sustainable mobility, economic dynamism, social cohesion and solidarity, and governance and citizenship) with the aim to provide an evaluation framework for empirically comparing the performance of the 96 metropolitan French Departments. Each dimension is explored by spatial autocorrelation analysis and Hierarchical Ascending Classification (HAC) to classify French Departments providing five different regional profiles of sustainable development. The findings make it possible to identify the strengths and weaknesses of the departments in the implementation of sustainable development. This approach provides the bases for a systematic monitoring of sustainable development policies at the regional scale.

The aim of this contribution is to establish a typology of European entrepreneurship countries with respect to variables related to entrepreneurial activity and economic development. Using a combination of multidimensional data analyses allows us to extend the concept of ‘entrepreneurial regimes’ and leads to the distinction of five such entrepreneurial regimes. Moreover, in order to better characterize these classes, a wide set of illustrative variables representative of national economic development, labour market functioning, and formal and informal institutional environments, as well as variables specific to the entrepreneurial population, are considered. Finally, discriminant analyses show that the five explanatory themes considered (Innovation, Employment, Formal Institutions, Entrepreneurship and Governance) differentiate the classes, and significantly explain the diversity of entrepreneurial regimes. These findings have important implications for the implementation of public policy, in order to promote entrepreneurial activity and reduce unemployment.

Les travaux en science régionale évoquent de plus en plus que l'environnement des entreprises nouvellement créées conditionne la portée de leur création de valeur, et de leur impact économique local, voire régional. Nous interrogeons ici dans quelle mesure les différences de contexte entrepreneurial contribuent en partie à expliquer les différences de niveau de développement régional. Nos résultats montrent une hétérogénéité spatiale de l’influence du contexte entrepreneurial sur le développement régional. Dans ce sens, encourager la création d’entreprises ne suffit pas, il faut aussi et avant tout créer les conditions favorables permettant de créer des entreprises dont la durabilité et les taux de création d’emplois sont élevés. Classification JEL : C21, C26, R58