DISPARITIÉS RÉGIONALES ET SCOLARITÉ EN AGRICUTURE

Une analyse graphique dégage, en 1961, pour ?agriculture québécoise et ontarienne, une relation entre la productivité moyenne en valeur de travail et le taux de scolarité de la population rurale agricole masculine, au niveau régional. La variable scolarité est introduite dans une fonction agrégée de production pour la province de Québec et son effet sur la production s'avère significatif. Les coefficients de régression de la variable scolarité et des autres, variables sont utilisés pour analyser les différences relatives de productivité du travail entre la région des environs de Montréal et la région de la Gaspésie-Côte-Nord. Comparativement à une analyse antérieure dont la scolaritéétait absente, celle-ci explique 6% de la différence de productivité. ?effet du taux de scolarité ne modifie guère les effets des autres variables, excepté celui de la région, qui est diminué du montant expliqué par la scolarité. La faible contribution du taux de scolaritéà?explication des différences régionales de productivité soulève la question ?un possible sous-investissement dans le capital humain en agriculture. REGIONAL DISPARITIES AND EDUCATION IN AGRICULTURE –A graphic analysis, at the regional level, in 1961, reveals in Quebec and Ontario agriculture, a relationship between the average value productivity of labour and the level of education of the agricultural rural male labor force. The education variable is introduced in the aggregate production function for Quebec agriculture and found to have a significant effect on production. The regression coefficient of the education variable is used, together with the other regression coefficients, to analyse the relative gap of labour productivity between the Montreal (environs) region and the Gaspe-Côte-Nord region. In comparison with a previous analysis excluding education, it is found that differences in education explain 6% of the gap, without altering much the effects of the other variables, except the regional effect, which is reduced by 6%. The small contribution of education to the explanation of the regional disparities in agricultural labor productivity might reflect the under investment in human capital.     

Innovation and the Quality of Labour Factor: An empirical investigation in the French food industry

The aim of our paper is to analyse the determinants of the innovation propensity of the firm. Among the numerous works devoted to this subject, the interest of our research is, firstly, to use a direct measurement of innovation, instead of the usual proxies, as R&D expenditures and patents statistics, secondly, to emphasise the role of labour factor quality as a major determinant of innovation. We first build a definition of labour factor quality, based on a double dimension: individual skill level and functional distribution of jobs inside the firm. At the end we consider that each job category can be involved in the innovation process, at the different steps of it: conception, decision, implementation. To explain the innovation propensity at the firm level, our logit model takes into account four explanatory dimensions: the quality of labour factor employed inside the firm, the firm structural characteristics (as size, for instance), the sectoral market structures and, finally, the quality of labour factor employed inside the firm sector, as a proxy for the R&D spillover effect. We use some individual firms data, including a direct measurement of innovation, that distinguished between several types: radical vs. incremental and product vs. process vs. organisational innovation. The French food industries with its 500.000 employees and 42 sectors, mostly composed of small firms, are our empirical field. The results emphasise the influence of the usual firm structure variables. Firm size, particularly, is very clearly positively related to the innovation propensity. At the same time, some more original facts appears, such as the influence of firm status: after controlling the sectoral influence, co-operative firms seem to innovate less than private ones. Labour factor quality appears to play a very significant role by itself, but mostly, helps us to analyse and specify the influence of other variables on innovation. At the end, it shows that innovation is a multiphase process, and that the relative importance of each phase greatly depends on the kind of innovation that is considered. Conception is the most important phase in the radical innovation case, which greatly involves formally high-skilled job categories as R&D employees or engineers. At the same time, the implementation phase, which seems to be particularly important in the incremental innovation case, emphasises the role of the intermediate categories know-how.At the end we can say that small industrial firms appear to be less innovative for two reasons: the usual scale effect argument is correct only in the process innovation case in relation to the capital intensity level. In some other cases as radical innovation, small firms are less innovative because of their job structure and particularly because of the lack of formal scientific capabilities (as the R&D personnel's one).     

Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants

We present a framework to measure empirically the size of indirect network effects in high-technology markets with competing incompatible technology standards. These indirect network effects arise due to inter-dependence in demand for hardware and compatible software. By modeling the joint determination of hardware sales and software availability in the market, we are able to describe the nature of demand inter-dependence and to measure the size of the indirect network effects. We apply the model to price and sales data from the industry for personal digital assistants (PDAs) along with the availability of software titles compatible with each PDA hardware standard. Our empirical results indicate significant indirect network effects. By July 2002, the network effect explains roughly 22% of the log-odds ratio of the sales of all Palm O/S compatible PDA-s to Microsoft O/S compatible PDA-s, where the remaining 78% reflects price and model features. We also use our model estimates to study the growth of the installed bases of Palm and Microsoft PDA hardware, with and without the availability of compatible third party software. We find that lack of third party software negatively impacts the evolution of the installed hardware bases of both formats. These results suggest PDA hardware firms would benefit from investing resources in increasing the provision of software for their products. We then compare the benefits of investments in software with investments in the quality of hardware technology. This exercise helps disentangle the potential for incremental hardware sales due to hardware quality improvement from that of positive feedback due to market software provision.     

A Sectoral Approach Balancing Global Efficiency and Equity

This paper explores the idea that a properly designed sectoral approach could be the answer to two sets of constraints that hinder international agreements on climate change, namely a genuine concern from developing countries for economic growth and competitiveness issues from industrialized countries. Our sectoral approach builds on three premises: (i) cap-and-trade systems are established in industrialized countries and intensity targets in developing countries, (ii) sectors subject to international trade abide by the rules of the countries in which they trade and (iii) a fraction of the revenues from permits in industrialized countries go towards carbon mitigation in developing countries. We design an economic model that features interactions in three carbon-intensive sectors (two of which are internationally traded) and two countries (an industrialized country and a developing country). Two scenarios are constructed: an Enhanced Sectoral Approach, which refers to our proposal, and a Global Cap, which implements a uniform CO₂ price. We compare the two scenarios in terms of total welfare and equity. It is shown that, for a minor global welfare loss, the Enhanced Sectoral Approach ranks high in terms of equity for emerging countries. This approach also eliminates competitiveness and leakage issues.     

A unified approach to systemic risk measures via acceptance sets

We specify a general methodological framework for systemic risk measures via multidimensional acceptance sets and aggregation functions. Existing systemic risk measures can usually be interpreted as the minimal amount of cash needed to secure the system after aggregating individual risks. In contrast, our approach also includes systemic risk measures that can be interpreted as the minimal amount of cash that secures the aggregated system by allocating capital to the single institutions before aggregating the individual risks. An important feature of our approach is the possibility of allocating cash according to the future state of the system (scenario‐dependent allocation). We also provide conditions that ensure monotonicity, convexity, or quasi‐convexity of our systemic risk measures.