The aim of WP5 is to answer the question: What governs Small Farm and Small Food Business activities? The specific aim of this report (and the related task 5.1) is to identify and assess the forms of governance that influence, both positively and negatively, the contribution of small farms and small food businesses (SF/SFB) to Sustainable Food and Nutritional Security (FNS). In doing so, the work proceeds around the following objectives:
This report represents findings on the role of women in small-scale farming (defined as farms up to 5 ha or 8 ESU), particularly in relation to governance frameworks associated with food and nutrition security. It follows SALSA Deliverable 5.1, which assesses the governance arrangements which impact upon small-scale farms and small food businesses. Both reports utilise the data collected in SALSA WP3 (In-depth assessment of food systems in 30 regions).
Deliverable 5.3 is based on an internal report produced under Task 5.3 'Enabling governance frameworks' (UPV team), and Task 5.4 'Governance Framework analysis'. Task 5.3 provided further analysis of 3 governance forms that were identified in Deliverable 5.1. (The Governance of Small Farms and Small Food Businesses to support food and nutritional security) as most enabling small farms and small food business to contribute to food and nutrition security. These were: 1. Cooperative arrangements and associations; 2. State subsidies and financial assistance; and, 3.
It is clear that any definition of a small farm needs to be based on national and regional realities. Definitions involving only the criterion of farm size have universal appeal as they are relatively easy to apply and allow simple comparisons across countries and world regions. However, they don't capture all the complexities of farming. Definitions involving additional criteria to farm size are more meaningful, particularly those including indicators of the farm economic output, but data availability is often a limitation (Ruane, 2016).
This study analyses the impact of the transfer of technological information (among other a priori identified factors) on the uptake of innovative crop technologies using structural equation modelling of data from a representative survey of Scottish crop farmers. The model explains 83% of the variance in current technological uptake behaviour and 63% of the variance in intentions to uptake new technologies.