Periodic Reporting for period 2 - datarev (Leading the first data revolution in European agriculture: farm accountancy data and their impact 1870-1945)
Reporting period: 2023-03-01 to 2024-08-31
DATAREV investigates the diffusion of farm accountancy offices of continental Europe since the 1870s and the use of farm accountancy data by state and non-state actors in the first half of the 20th century.
With its five subprojects, DATAREV thoroughly explores different aspect of the first data revolution, its actors and its consequences. It examines how economic and socially change was conceptualized and direct through accountancy data and statistics and how the peculiar structure of the agricultural business in Europe imposed constraints on bookkeeping unlike those at work in industry. It questions the agency in the datafication process and explores the conflicting claims to the data. Finally, it clarifies how farm accountancy data played a crucial role in the reorganization of the governance of European agriculture after the Long Depression.
2. The team completed the digitizing process of the primary source for sub-project No. 2, "Agriculturalists and the Great Depression," which is the Recueil de statistique basées sur les données de la comptabilité agricole. This source collected data for the agricultural years 1927-1928 to 1936-1937. We cleaned and standardized the data on a country level. Through descriptive analysis, we gained preliminary results on the changes in agricultural productivity and efficiency caused by the Great Depression. The major issue that we had to deal with was the choice of the countries that we include in the standardized and balanced dataset. At the moment, we had to limit the dataset to 10 European countries.
3. Several publications are under preparation and 2 are submitted
4. The project has joined the IRN “Covar” that will open possibilities for international cooperation
Resilience: The state of the art on the Great Depression in agriculture has significantly evolved since the start of the project, with new publications focusing on the so called “productivity paradox” and the first publications on European agriculture during the Depression coming out. In this changing research environment, the DATAREV database enabled Dr Marina Chuchko to introduce radically new elements about the dynamics of farm productivity during the late 1920s to 1930s focusing on Central, Eastern, and Northern Europe. This period, marked by significant economic turmoil (the Great Depression), provides a unique context to study the resilience and productivity of agricultural systems. The overarching goal is to understand how different farming systems responded to and evolved during this economic downturn, offering valuable lessons for current and future agricultural challenges. The dataset then was analysed using the Growth Accounting Approach to examine the productivity dynamic across different farming systems in the selected countries. The preliminary results of this research entitled “European Agriculture and the Great Depression: Productivity Growth and Farming Resilience” were accepted to be presented at two prominent conferences in Economic History and reveal an unexpected size of the fall in productivity but also the very diverse effects of the crisis in different European countries.
Global markets: the database of agrarian organizations is providing an impressive image of the density of connections linking European and world agrarians. Farmers’ organizations acted in a much thicker international network than previously claimed. Then as now, the world of farmers was divided internally and felt under threat from market forces beyond farmers control. Data were central to their effort to get a grasp of a change world.
The project focused therefore on the way agriculturalists mobilized data on agricultural production and farm profitability to steer policymaking. These results have now begun to appear in D’Onofrio’s work on the International Institute of Agriculture (together with Niccolò Mignemi) and in two more articles in preparation.
Data for policy: A lot more of work is needed to advance our understanding of the way data needs to be conceived and packaged - what we call “the life-cycle of data” – in order to affect policies. The project is now furthering our understanding of statistical representativeness through history (a joint paper by D’Onofrio and Chuchko was presented in Venice in February 2024) and the mobilization of people behind data collection (D’Onofrio’s chapter on accountancy data and Lichani’s paper to be presented in Lausanne in June 2024).