Historically, farmers have been some of the most innovative people in the world. However, agriculture lags behind other sectors in its uptake of new information technologies for the control and automation of farming systems. In spite of decades of research into innovation, generally we still do not have a good understanding as to why this is the case. This paper reviews two theories of innovation and offers a new approach to thinking about agricultural ICT (e-Agriculture). It firstly explores the problem of ICT adoption in agriculture.
Despite the well-known importance of innovation to productivity growth in the agri-food sector, very few studies have attempted to measure farm-level innovation. This article contributes to the literature by developing an agricultural innovation index that goes beyond measuring innovation through adopted technologies. Based on this index, drivers and barriers of innovation are assessed. The findings reveal that innovation efforts differ between farm systems.
The report entitled ‘Innovation in the Irish Agri-food Sector’ was compiled by researchers from the University College of Dublin (UCD) following interviews with stakeholders from across the sector, and an analysis of data from Eurostat, the OECD, and the Teagasc National Farm Survey. The report also shows that the sector is strong in terms of research capacity, overall education levels, and favourable tax regimes to encourage business innovation. The report was launched at the international conference ‘Driving Innovation in the Irish Agri-Food System', held in June 2014 at the UCD.
L’agriculture familiale est le modèle d’exploitation le plus répandu en Europe. À ce titre, elle assure depuis des siècles la prospérité du secteur. L’ambitieux cadre stratégique mis en place par l’Union européenne a été conçu pour tenir compte des différents modèles d’agriculture qui coexistent sur son territoire, en ce compris les divers types d’agriculture familiale.
In this paper the High Nature Value (HNV) livestock farming systems are defined. These systems are found mainly in marginal areas where physical factors, and in some cases social factors, have prevented intensification of land-use. NV-LINK is a Horizon2020 project that seeks to improve the socio-economic and environmental sustainability of HNV farming in 10 Learning Areas, and more widely across the EU, by promoting innovation.
In this paper administrative datasets are utilised to study farms that have converted to organic beef production in Ireland, to draw lessons for future CAP scheme design. The analysis confirms anecdotal evidence in relation to a leakage of animals from the organic to the non-organic (conventional) beef sector. As a result of this differential response across the value chain, there is sub-optimal production of organic meat relative to the investment in incentives for conversion from non-organic to organic production.
As calls for bolstering environmental services on croplands have grown more insistent during the past two decades, the search for ways to foster sustainable, reduced input agriculture has become more urgent. In this context authors re-examine by means of a meta-analysis the argument, first proposed by Robert McC. Netting, that small scale, mixed crop – livestock farming, a common livelihood among poor rural peoples, encourages environmentally sustainable agricultural practices.
In developing regions with high levels of poverty and a dependence on climate sensitive agriculture, studies focusing on climate change adaptation, planning, and policy processes, have gained relative importance over the years. This study assesses the impact of farmer perceptions regarding climate change on the use of sustainable agricultural practices as an adaptation strategy in the Chinyanja Triangle, Southern Africa.
Small-scale farmers in the Brazilian Amazon collectively hold tenure over more than 12 million ha of permanent forest reserves, as required by the Forest Code. The trade-off between forest conservation and other land uses entails opportunity costs for them and for the country, which have not been sufficiently studied. We assessed the potential income generated by multiple use forest management for farmers and compared it to the income potentially derived from six other agricultural land uses.
The study first identified fully efficient farmers and then estimated technical efficiency of inefficient farmers, identifying their determinants by applying a Zero Inefficiency Stochastic Frontier Model (ZISFM) on a sample of 300 rice farmers from central-northern Thailand. Next, the study developed scenarios of potential production increase and resource conservation if technical inefficiency was eliminated. Results revealed that 13% of the sampled farmers were fully efficient, thereby justifying the use of our approach.