• Energy Research

In the face of growing demand for sustainable sources of biomass, the challenge of mobilising non-industrial private forest landowners (NIPF) with varying management objectives, to actively manage their forests and increase the supply of wood biomass, is an area of growing research and policy focus. While innovation and knowledge exchange is increasingly viewed as a means of promoting sustainable wood mobilisation, structural weaknesses in the sector such as deficiencies in the institutional and infrastructural setting or capacity of stakeholders, can negatively influence innovation processes. Addressing these overarching challenges requires a systemic analysis of the barriers to innovation across the forest sector as a whole. This case study of the Irish forest sector develops a comprehensive innovation systems framework, integrating structural and functional streams of innovation systems research. This `coupled structural–functional’ framework is applied to identify a number of interconnected systemic problems that hinder the functioning of the forest sector innovation system and negatively influence the potential for co-innovation and wood mobilisation in the sector. Three sets of key systemic wood mobilisation problems are identified, among which there is negative feedback. These so called `blocking mechanisms' have developed over time as a result of historical patterns of practice, prevailing culture, attitude and regulation and are defined here as (i) weak networks blocking capacity development of new forest owners, (ii) infrastructural problems blocking the reach and effectiveness of knowledge networks, (iii) rigid institutional structures and policy blocking co-innovation. To address these deficiencies in the current forest policy and institutional environment, this study makes a number of policy recommendations to promote co-innovation and tackle the multi-dimensional challenge of wood mobilisation.

The deterioration of water quality in Ireland over the past thirty years and the nutrient losses from agriculture are of particular concern to policy makers. Agri-environmental schemes (AES) are designed to improve the environment and water quality. One of the more common AES measures is the exclusion of cattle from watercourses. Cattle exclusion provides a number of benefits such as reduction in nitrogen, phosphorus and sediment run-off, riverbank stability and improved vegetation cover and biodiversity. Using GIS methods a new national farm boundary spatial database SLIDE (Spatial Land Identification Database for Eire) is created utilising national administrative data and a spatial data storage model. This is the first examination of cattle exclusion and its cost effectiveness at the individual farm level across a national population of farms. Benefits are measured in the form of reduced in-stream faecal deposits. The spatial distribution of cost-effectiveness at the sub-catchment level highlights the differences between areas in terms of costs, benefits and extent. A cluster analysis is used to aggregate results. This information is utilised to undertake an ex-ante examination of the implications of a national policy to restrict cattle access to waterbodies for specific categories of farmers, under the EU Nitrates Directive. The analysis of the clusters show that due to the reduction of faecal deposition in watercourses, fencing on medium and high intensity farms is similar to 20 % more cost effective relative to farms with lower livestock densities. This study makes an important contribution to the literature in broadening our understanding of the impacts of policy decision making at the individual farm level and also the costs and scale of AES measures at a national level.

Alongside environmental benefits, renewable energy deployment is often evaluated on grounds of regional development. Focusing on wave energy deployment in Ireland, this paper quantifies employment-related welfare change net of associated subsidy costs. Although the added employment reduces inter-regional inequality, certain subsidies increase total income inequality by a greater extent. Total inequality increases by 0.25% in the preferred scenario. This pattern of incidence persists under an optimistic scenario where all manufacturing activity is carried out locally. This finding highlights that policies of regional development should consider the spatial distribution of associated subsidy costs.

This paper uses an environmentally extended input-output model of the Irish economy to estimate greenhouse gas (GHG) emissions and economic output multipliers in 2010 for two aquatic (aquaculture products and sea fisheries) and five land-based livestock products (beef and veal, sheep meat, pig meat, poultry meat, and dairy products). Moreover, the Global Value Chain (GVC) framework is adopted to qualitatively understand the structure of Irish food sectors and identify segments of the food value chains with the greatest emissions efficiency and economic potential. Aquaculture is found to have the highest output multiplier and a low to medium carbon footprint compared to pastoral livestock products (beef and veal, sheep meat, dairy). The direct and indirect economic benefits of the aquaculture sector along with the relatively low carbon footprint suggest that additional benefits from an expansion of Ireland's aquaculture sector can be gained. However, aquaculture is energy intensive, and therefore production requires the efficient use of energy and resources, and the employment of low carbon technologies that strengthen aquaculture's sustainability. © 2020 Elsevier Ltd

Abstract Using micro-simulation modelling techniques this paper examines methane emissions across Irish farms. The effects of a carbon equivalent tax on average family farm income are analysed at both the farm and regional level. The spatial micro-simulation model developed uses a technique called simulated annealing to match the Irish Census of Agriculture data to a National Farm Survey. The main advantage of the spatial micro-simulation approach is the fact that it allows one to account for the heterogeneity in the farm population across space. The results of the modelling process are presented using GIS mapping techniques and highlight the fact that there would be significant regional variation in the burden of an agricultural tax that was based on a rate per unit of methane emissions. The results also demonstrate that if the methane tax revenue raised was redistributed in the form of an environmental subsidy to farmers participating in an agri-environmental scheme (the Rural Environment Protection Scheme (REPS)) it would encourage farmers to participate in the scheme and could also have the effect of moving low income farms up the earnings distribution ladder.

Wave Energy Conversion (WEC) devices are at a pre-commercial stage of development with feasibility studies sensitive to uncertainties surrounding assumed input costs. This may affect decision making. This paper analyses the impact these uncertainties may have on investor, developer and policymaker decisions using an Irish case study. Calibrated to data present in the literature, a probabilistic methodology is shown to be an effective means to carry this out. Value at Risk (VaR) and Conditional Value at Risk (CVaR) metrics are used to quantify the certainty of achieving a given cost or return on investment. We analyse the certainty of financial return provided by the proposed Irish Feed-in Tariff (FiT) policy. The influence of cost reduction through bulk discount is also discussed, with cost reduction targets for developers identified. Uncertainty is found to have a greater impact on the profitability of smaller installations and those subject to lower rates of cost reduction. This paper emphasises that a premium is required to account for cost uncertainty when setting FiT rates. By quantifying uncertainty, a means to specify an efficient premium is presented.

In Ireland, agriculture accounts for 33% of national greenhouse gas (GHG) emissions. Ireland faces significant challenges in terms of emissions reduction and is well off course in terms of meeting binding European Union targets. Flexibility mechanisms will allow Ireland to offset 5.6% of its commitment via sequestration in biomass and soils and land use change. Agricultural emissions in Ireland are largely driven by livestock production. As such, the purpose of this research is to estimate the net GHG emission benefit resulting from a land use change with forest replacing livestock systems (dairy, beef cattle and sheep). We estimate the total carbon sequestration in biomass and harvested wood products, along with the total emissions avoided from each livestock system on a per hectare basis. In addition, the paper compares the social cost of carbon to the average income per hectare of each livestock system. Finally, a hypothetical national planting scenario is modelled using plausible planting rates. Results indicate that the greatest carbon benefit is achieved when forest replaces dairy production. This is due to high emissions per hectare from dairy systems, and greater sequestration potential in higher-yielding forests planted on better quality soils associated with dairy production. The inclusion of harvested wood products in subsequent rotations has the potential to enhance GHG mitigation and offset terrestrial carbon loss. A hypothetical national planting scenario, afforesting 100,000 ha substituting dairy, beef cattle and sheep livestock systems could abate 13.91 Mt CO2e after 10 years, and 150.14 Mt CO2e (unthinned plantations) or 125.89 Mt CO2e (thinned plantations) over the course of the rotation. These results highlight the critical role for forest land use change in meeting the urgent need to tackle rising agricultural emissions.