Emma J. Dillon

Assessing the sustainability of Irish agriculture

Indicators encompassing the multidimensional nature of sustainability (economic, environmental and social) are developed here using Irish National Farm Survey data over an 11-year period (1996–2006). This is the first such study undertaken for Ireland, and the results show significant change over the decade in all three areas examined. The general concept of sustainability is discussed and the development of agricultural sustainability indicators in an Irish context is described. Individual indicators are dealt with in turn, and the RERC SMILE model is used to demonstrate how these indicators can be derived at a spatial level below the national scale. Economic viability was found to be generally in decline over the 10-year period examined. However, when individual farming systems were taken into account, some were found to perform better than others. From an environmental perspective, the more intensive farming systems (primarily dairy) were found to pollute more on average, while in more general terms the levels of methane emissions produced per hectare have been falling over the reference period. Results also indicate that rural Ireland is experiencing a period of fundamental change in terms of the demographic viability of its farming community.

Measuring progress in agricultural sustainability to support policy-making

The concept of sustainability is one of the forefront issues in discussions of the challenges facing global agriculture, given the mounting pressure to increase food production in both socially responsible and environmentally friendly ways. From the perspective of Irish agriculture, sustainable intensification is of particular relevance, given ambitious targets to increase milk production in the context of European Union (EU) milk quota removal in 2015. A series of farm-level sustainability indicators are developed here using the Teagasc National Farm Survey FADN (Farm Accountancy Data Network) data for Ireland from 2012. Three dimensions, reflecting the multifaceted nature of sustainability (environmental, economic and social) are considered. Given the environmental challenges inherent in the sustainable intensification of agriculture, it is encouraging to observe that the more intensive, top performing farms (in an economic sense) emit relatively less greenhouse gases when compared to their less intensive counterparts. Conversely, the better performing farms in economic terms tend to have a higher nitrogen surplus per hectare on average. This is consistent with their higher rates of production intensity, but poses a challenge in terms of sustainable intensification and expansion. That said this analysis demonstrates that the nitrogen use efficiency of milk production is positively correlated with economic performance, with more intensive farms producing relatively more milk per kilogram of nitrogen surplus. From the perspective of social sustainability, demographic traits also tend to be positively correlated with economic performance. Given a growing recognition of the need for interconnected policy in the area of sustainability, this research should help inform policy debates and provides a guide for the undertaking of similar assessments elsewhere.

The development of farm-level sustainability indicators for Ireland using the Teagasc National Farm Survey

Abstract In the context of an expanding, export-dependent agri-food sector, indicators of sustainable development and intensification are necessary to measure, assess and verify the comparative advantage afforded by Ireland’s natural pastoral-based food production systems. Such indicators are also necessary to ensure that we produce more food with less adverse impacts on the Irish environment, climate and society. This article outlines the development of farm-level indicators that refect the multifaceted nature of sustainability, which is encompassed in economic, environmental and social indicators. The role of innovation in farm sustainability was also examined. A comparison of indicators across Irish farm systems showed that dairy farms, followed by tillage farms, tended to be the most economically and socially sustainable farm systems. In relation to greenhouse gas emissions in particular, the top-performing dairy farms, in an economic sense, also tended to be the best-performing farms from an environmental sustainability perspective. This trend was also evident in relation to the adoption of innovative practices on farm, which was found to be strongly correlated with economic performance.

Measuring the economic impact of improved control of sub-clinical mastitis in Irish dairy herds

Improvements in milk quality are important if the Irish dairy industry is to grow sustainably and retain a competitive advantage in a post-quota environment. In this regard, superior animal health has an important role to play. In order to reduce the costs of disease and to improve best practice it is important to demonstrate the economic gains achievable from improved dairy herd health. Elevated levels of somatic cell count (SCC) are an indicator of the prevalence of clinical and sub-clinical mastitis in dairy herds. Nationally representative farm-level data for Ireland (2008–2011) and panel data methods are used here to consider the independent effect of herd-level SCC (an annual weighted average figure based on monthly milk bulk tank readings) on both milk yield and gross margin per cow. Results indicate a 2% reduction in productivity for farms with SCC above 400 (‘000 cells/ml), while a reduction in bulk tank SCC from 400 to 300 (‘000 cells/ml) for the average herd (55 cows) results in an annual increase in gross margin of €1045. The impact of a range of herd management practices on SCC is also considered, with such practices shown to be important in influencing animal health.

The Role of Agricultural Education and Extension in Influencing Best Practice for Managing Mastitis in Dairy Cattle

Abstract Purpose: To examine the role of agricultural education and extension in influencing the adoption of best practice with regard to herd-level mastitis management.Design/Methodology/Approach: Somatic cell count (SCC) is an indicator of herd health with regard to mastitis and is negatively related to productivity and profitability. Panel data regression methods are utilised here to quantify the role of agricultural education and extension in reducing cell count and in influencing farmer best practice with regard to herd health. The impact of education and extension on farmer uptake of milk recording is of particular interest. Data utilised is farm-level Farm Accountancy Data Network (FADN) data for Ireland over a five-year period (2008–2012).Findings: Farmer uptake of formal agricultural training and liaison with agricultural extension services are shown to significantly improve mastitis herd health. Collectively, education, extension and milk recording results in an overall SCC reduction of 25% for the average herd. Farmers who undertook agricultural training were ten times more likely to monitor milk quality through milk recording compared to those who had not. Additionally, those farmers in contact with an extension service and also participated in a dairy discussion group were seven times more likely to practice milk recording.Practical Implications: The importance of farmer behaviour in the optimum management of herd health has been validated, as has the role of agricultural education and extension in influencing the uptake of best practice by farmers.Originality/Value: To date little research has been conducted using nationally representative herd-level data on the role of agricultural education and extension in improving animal health best practice.

Worth the Risk? The Behavioural Path to Well‐Being

There is increasing interest in the ‘economics of happiness’, reflected in the volume of articles appearing in mainstream economics journals exploring the major determinants of self-reported well-being. We contribute by exploring the factors influencing how satisfied farmers are with their quality of life. We find that farm income, subjective perceptions relating to the adequacy of household income, debt, health and personal characteristics such as age and relationship status are significantly associated with farmers’ self-reported life satisfaction. While significantly associated with farm income, farm structural variables such as farm size, farm type and the presence of a farm successor were not found to be significantly related with life satisfaction. Our results also suggest that farmers who are more risk averse enjoy significantly lower levels of both life satisfaction and farm income than their more risk seeking or risk neutral counterparts. We suggest that, in the same way that risk aversion inhibits farmers from making choices that could lead to an increase in their income, it may also constrain farmers (and the wider public at large) from engaging in certain types of behaviours that could lead to an increase in their self-reported quality of life. Finally, we find that while farm income is significantly related to self-reported life satisfaction, the direct correlation between these variables is weak, suggesting that farmer life satisfaction can be distinct from business success.

Potential development of Irish agricultural sustainability indicators for current and future policy evaluation needs

There is a significant and detailed range of sustainability indicators for Irish agri-food production, but there remain areas where further indicator development or new indicators could prove valuable. This review provides an outline of potential developments in Irish assessment of agricultural sustainability following the latest research and in order to meet policy demands. Recent research findings have suggested means of improved quantitative modelling of greenhouse gas emissions, but additional dietary and soil data may be important for this, especially for the potential inclusion of any soil sequestration. This information could also benefit more detailed modelling of nutrient losses to water. Specific concerns over pesticide and antibiotic use may require additional survey work on the particular locations or types of farms of interest. Biodiversity monitoring could be improved by expanding the range of results-oriented agri-environment schemes or employing remote-sensing habitat monitoring, likely supplemented with targeted field surveys for specific objectives. Farm-level economic sustainability is largely well-covered, but additional data collection may be of benefit to address specific issues such as labour costs. Recent additional surveys on farm-level social sustainability have addressed important social indicators of isolation and access to local services, and could be rolled out on a larger number of farms in the future. Wider societal concerns such as animal welfare, genetically modified materials in foodstuffs and antibiotic resistance have limited indicators currently available, and could also benefit from additional surveys. The breadth and detail required in agri-food sustainability indicators present a significant challenge to survey design and implementation, but many developments can be achieved without additional surveys through the use of remote sensing and geospatial technologies and integration of existing datasets. Despite the important benefits of further developments in Irish sustainability indicators, consideration must also be given to farmer confidentiality and survey fatigue.