By Date

Public policy can play an important role in steering the large-scale diffusion of teleworking. Various communities around the world are experimenting with innovative solutions. In Italy, the Autonomous Province of Trento has plans to design a comprehensive plan for teleworking as a way to foster local economic and social development. Opportunities and challenges for a smooth transition to an ever more hybrid work environment are explored in view of a number of societal objectives, including an improvement in living standards, territorial cohesion and competitiveness. The paper identifies six policy areas for recommendations, reflecting the conditions needed to achieve these objectives.

Enterprises are a key provider of education and training for adults across OECD countries. Yet, policy-makers lack a detailed understanding of how training in enterprises takes place. This report opens the black box of training and informal learning in enterprises by providing in-depth insights on: i) what training and learning opportunities enterprises provide; ii) why they provide training (or not); and iii) how they make decisions about training. It presents new evidence from 100 qualitative cases studies in five countries: Austria, Estonia, France, Ireland and Italy. The findings will assist governments and social partners in designing and implementing better policies in support of training in enterprises.

This report offers an initial overview of the available information regarding the circumstances, nature and outcomes of the education of schoolchildren during the first wave of COVID-19 lockdowns of March-April 2020. Its purpose is primarily descriptive: it presents information from high quality quantitative studies on the experience of learning during this period in order to ground the examination and discussion of these issues in empirical examples. Information is presented on three interrelated topics: the nature of the educational experience during the period of lockdowns and school closures; the home environment in which education took place for the vast majority of schoolchildren; the effects on the mental health and learning outcomes for children during this period. The data come primarily from 5 countries (France, Germany, Ireland, the United Kingdom and the United States) with additional information on some aspects for 6 additional countries (Australia, Belgium (Flanders), Canada, Finland, Italy and the Netherlands). This report will be of interest to policy makers, academics, education stakeholders and anyone interested in a first international empirical analysis of the effects of the pandemic on the lives and education of schoolchildren.

Industries and businesses are becoming increasingly digital, and the COVID-19 pandemic has further accelerated this trend. Regulators around the world are also experimenting with data-driven tools to apply and enforce rules in a more agile and targeted way. This report maps out several efforts undertaken jointly by the OECD and Italian regulators to develop and use artificial intelligence and machine learning tools in regulatory inspections and enforcement. It provides unique insights into the background processes and structures required for digital tools to perform predictive modelling, risk analysis and classification. It also highlights the challenges such tools bring, both in specific regulatory areas and to the broader goals of regulatory systems.

The COVID-19 crisis has provided an opportunity to rethink the Veneto Region’s economic strategy. This paper examines the links between cultural and creative sectors and the regional manufacturing economy of the Veneto Region in the North of Italy, highlighting the important role that cultural production, and in particular Venice, can play in the region’s post-pandemic recovery strategies.

Increasing productivity at farm level is a key policy objective across most countries and fundamental to the overall performance of agricultural and food systems. This paper applies dynamic statistical methods to farm level data in order to identify the determinants of farm performance over time, in terms of productivity and measures of local sustainability. The analysis sheds light on the effects of policies on productivity, and the links between productivity and sustainability outcomes. It draws on key findings from seven case studies: crop farms in Australia, France, Italy and the United Kingdom (England and Wales); and dairy farms in the Czech Republic, Denmark and Norway, with different sample periods, from the most recent three decades to the last five years. A key finding is that policy changes increasing the degree of decoupling of payments have a positive impact on productivity. Furthermore, with the right incentives, productivity growth can be more locally sustainable insofar as farms can produce more output with less inputs that harm the environment. The detailed background work on the seven samples of crops and dairy farms in the above countries is available in OECD Food, Agriculture and Fisheries Paper N°165.

This paper provides detailed farm level data evidence on the dynamics of farm performance from case studies covering crop farms in Australia, France, Italy and the United Kingdom (England and Wales), and dairy farms in the Czech Republic, Denmark and Norway, with different recent sample periods of five to thirty years. An increase in productivity over time is common to all countries and most crop farm classes, but productivity dynamics vary significantly. In Australia, strong productivity growth among the most productive crop farms has led to an increase in the gap between the highest and lowest performing farms; whereas in France, Italy and the United Kingdom, productivity growth was weak among the most productive crop farms and the lowest performing farms closed the productivity gap. Productivity also increased among dairy farms, with an increasing gap between the most and the least productive farm classes in the three sample countries. The impact of policy changes on performance dynamics is analysed for decoupled payments in France and England, and dairy payments in the Czech Republic. The main findings across countries and policy implications are discussed in OECD Food, Agriculture and Fisheries Paper N°164.

This paper investigates whether and how worker composition, ownership and management affect the productivity of firms. To this aim, we use a dataset obtained by integrating the micro-data drawn from Rilevazione su Imprese e Lavoro (RIL), a survey conducted by Inapp in 2010 and 2015 on a representative sample of Italian limited liability and partnership firms, with the AIDA archive containing comprehensive information on the balance sheets of almost all the Italian corporations. We apply different regression models and the findings reveal that a higher share of skilled workers within firms and more experienced managers are associated with higher productivity levels. In addition, firms run by managers with higher education are more likely to introduce innovation. Finally, family ownership and the coincidence of management with ownership are negatively related with firm productivity.