© The Agricultural Economics Society and the European Association of Agricultural Economists
Edited By: Professor John Davis
Online ISSN: 1746-692X
Associated Title(s): Journal of Agricultural Economics
Read the 2016 Sample Issue of EuroChoices, a Special Issue on GMO Coexistence.
Read these articles for the African Conference of Agricultural Economists
Guest Editorial: Future Directions for the Global Meat Industry
Bob Bansback, Volume 13, Issue 2
Freedom to Choose: Perspectives on Modern Biotechnology and Developing Countries' Food and Agriculture
Pinstrup Andersen, Marc J Cohen, Volume 1, Issue 2
Better Drip than Flood: Reaping the Benefits of Efficient Irrigation
Ada Ignaciuk, Daniel D'Croz and Shanila Islam, Volume 14, Issue 2
Guest Editorial: Meat and Milk Consumption 2050: the Potential for Demand-Side Solutions to Greenhouse Gas Emissions Reduction
Brian Revell, Volume 14, Issue 3
Recently Published Articles
- Good Governance in the Bioeconomy
Laura Devaney, Maeve Henchion and Áine Regan
Version of Record online: 13 JAN 2017 | DOI: 10.1111/1746-692X.12141
In response to growing societal and environmental challenges, the concept of the bioeconomy has emerged in Europe, shifting society away from fossil fuels to utilising renewable biological resources to meet food, feed, fuel and material needs. The bioeconomy poses unique questions for governing stakeholders, with a need to simultaneously consider issues of food, fuel and resource security, competition for biomass supply, environmental degradation, climate change, economic growth and rural development.
- Economic Structure and Vulnerability to Recession in Rural Areas (pages 47–53)
Myles Patton, Wei Xia, Siyi Feng and Victor Hewitt
Version of Record online: 15 DEC 2016 | DOI: 10.1111/1746-692X.12135
The recent recession had a marked impact on the rural labour market in Northern Ireland, particularly within remote rural areas. The extent to which this reflected the underlying economic structure is explored using shift-share analysis. Remote rural areas suffered from the double impact of the industrial concentration of employment within certain industries and the regional redistribution of employment. They were severely impacted by the contraction in the construction sector and during the early period of the recession the performance of the manufacturing sector. Nevertheless, the labour market within remote rural areas recovered more rapidly compared to urban and accessible rural areas.
- Diversity and Innovation in the FADN Data Collection Systems in the EU-28 (pages 5–10)
Dylan Bradley and Berkeley Hill
Version of Record online: 15 DEC 2016 | DOI: 10.1111/1746-692X.12137
The EU's Farm Accountancy Data Network (FADN) is a key source of microeconomic information for monitoring and evaluating the performance of the CAP. The data, in the form of completed FADN Farm Returns, are drawn from independent national surveys of farm accounts in the EU-28 Member States. A recent study found that these vary in their coverage and the ways in which data are collected. Three broad groupings of countries emerge: collection by the FADN Liaison Agency; by advisory services; and from accountancy firms who have prepared accounts for taxation purposes. Multiple ways of extracting the data and of recording them are encountered, not only reflecting differences between countries but also within Member States depending on the nature of the subject, the availability of existing sources, and the legal status of the farm operator.
- Uses and Benefits of FADN Information in the EU-28 (pages 11–16)
Berkeley Hill, Dylan Bradley and Hans Vrolijk
Version of Record online: 15 DEC 2016 | DOI: 10.1111/1746-692X.12138
The EU's Farm Accountancy Data Network (FADN) annually assembles data from some 80,000 agricultural businesses in the EU-28 supplied by Member States under legal requirement in the form of a specified number of completed Farm Returns. For data to be turned into information, they need analysis and interpretation and to be put in the hands of decision-makers who are able to make use of the contents. Better decisions can then be reached. Thus, the benefit of FADN and national farm accounts surveys is dependent on the impact on decisions by users. If the data are unused or ignored, there is no benefit. It follows that key to detecting the presence of benefits, and where possible their measurement, is the identification of users and their uses of the data output.