Suchergebnisse

The bioeconomy comprises sectors that use renewable biological resources to produce food, materials and energy. It is at the centre of several global and EU challenges in the near future such as the creation of growth and jobs, climate change, food security and resource depletion. "Bioeconomy 2030†projects a reference scenario ('business as usual') and compares it with two distinct policy narratives ('Outward-looking' and 'Inward-looking') to understand the drivers of EU's bioeconomy up to 2030, assess its resilience to fulfil such diverse policy goals and identify potential trade-offs. As a motor of jobs and growth, the results indicate that the importance of the bio-based sectors is expected to dwindle somewhat. The factors underlying this result are mainly structural and related to comparably lower macroeconomic growth rates in the EU. It is, however, conceivable that improved economic development or productivity improvements linked to EU investments in, for instance bio-based innovation, would produce a recognisably more optimistic outlook for the EU bioeconomy. ; Published

Taking a European Union focus, this paper explicitly models competing uses of biomass to quantify its contribution toward a sustainable low carbon model of economic growth. To this end, a state-of-the-art multisector multiregion modelling tool is combined with a specially developed bio-based variant of a well-known global database. Employing a decomposition method of the market drivers and classifying alternative future pathways, the aim is to understand how public policies can influence the apparent trade-off between the goals of lower carbon economic growth, environmental preservation and sustainable biomass usage. Results reveal that in targeting specific societal goals public policy can be effective, although this can lead to broader economic issues of resource inefficiency and even direct policy conflicts. ; Published

Halving per capita food waste and reducing food losses along production and supply chains is one of the objectives fixed by the United Nations among the Sustainable Development Goals (SDGs). This study employs a system-wide modelling approach, to simulate economic impacts of households' food waste reduction in 2030, focusing on the European Union. The paper provides market, food security, biophysical and environmental indicators resulting from food commodity specific waste reductions by EU households. The scenarios explicitly account for associated costs paid by food manufacturers derived from adjustments in the packaging, labelling and logistics. The model shows, under a series of market assumptions, a possible increase in household savings, a fall in agri-food production and a minor negative macroeconomic impact due to household food waste reductions. On the other hand, the effects on environmental indicators such as land usage, GHG emissions and water abstraction are positive. Future research on several aspects of the food waste topic is needed to better integrate all economic aspects. ; Published

Halving per capita food waste and reducing food losses along production and supply chains is one of the objectives fixed by the United Nations among the Sustainable Development Goals (SDGs). This study employs a system-wide modelling approach, to simulate economic impacts of households' food waste reduction in 2030, focusing on the European Union. The paper provides market, food security, biophysical and environmental indicators resulting from food commodity specific waste reductions by EU households. The scenarios explicitly account for associated costs paid by food manufacturers derived from adjustments in the packaging, labelling and logistics. The model shows, under a series of market assumptions, a possible increase in household savings, a fall in agri-food production and a minor negative macroeconomic impact due to household food waste reductions. On the other hand, the effects on environmental indicators such as land usage, GHG emissions and water abstraction are positive. Future research on several aspects of the food waste topic is needed to better integrate all economic aspects.

In the summer of 2014 Russia imposed a ban on most agri-food products from countries enforcing Ukraine-related sanctions against Russia. We use a specific factors computable general equilibrium (CGE) model to simulate the short-run impact of this retaliatory policy. The baseline is carefully designed to isolate the impacts of the ban on the European Union (EU), Russia itself and a selection of key trade partners. The modelling of the ban follows a novel approach, where it is treated as a loss of established trade preferences via reductions in consumer utility in the Armington import function. Not surprisingly, the results indicate that Russia bears the highest income loss (about €3.4 billion) while the EU recovers part of its lost trade through expansion of exports to other markets. An ex-post comparison between simulation results and observed trade data reveals the model predictions to be broadly accurate, thereby validating the robustness of the modelling approach. ; Published

In August 2014, Russia imposed a one year import ban on most agri-food products from countries enforcing Ukraine-related sanctions against Russia. A computable general equilibrium (CGE) model is used to simulate effects of this retaliatory policy shift across the European Union (EU), Russia and a selection of key trade partners. Sensitivity analysis of factor mobility is performed to better capture short term and long term implications of this import prohibition, while latest trade data are carefully prepared and exploited. In the short term, due to high factor immobility, production has very little leeway to adjust, provoking notable variations in prices which absorb most of the import ban shock. At EU level, price and production decrease by about 1.9% and 0.3% respectively, while in the longer term (if the ban is maintained beyond one year) these figures amount 1.4% and 1.2% respectively. Interestingly, results indicate that Russia is the region with the highest welfare loss (about 3.4 billion euros) while the EU can recover around 25% of the lost trade volume with Russia through expansion of exports to other markets.

The concept of 'bioeconomy' is gathering momentum in European Union (EU) policy circles as a sustainable model of growth to reconcile continued wealth generation and employment with bio-based sustainable resource usage. Unfortunately, in the literature an economy-wide quantitative assessment covering the full diversity of this sector is lacking due to relatively poor data availability for disaggregated bio-based activities. This research represents a first step by employing social accounting matrices (SAMs) for each EU27 member encompassing a highly disaggregated treatment of traditional 'bio-based' agricultural and food activities, as well as additional identifiable bioeconomic activities from the national accounts data. Employing backward-linkage (BL), forward-linkage (FL) and employment multipliers, the aim is to profile and assess comparative structural patterns both across bioeconomic sectors and EU Member States. The results indicate six clusters of EU member countries with homogeneous bioeconomy structures. Within cluster statistical tests reveal a high tendency toward 'backward orientation' or demand driven wealth generation, whilst inter-cluster statistical comparisons by bio-based sector show only a moderate degree of heterogeneous BL wealth generation and, with the exception of only two sectors, a uniformly homogeneous degree of FL wealth generation. With the exception of forestry, fishing and wood activities, bio-based employment generation prospects are below non bioeconomy activities. Finally, milk and dairy are established as 'key sectors'.

AbstractThe study assesses the implications of the COVID‐19 pandemic and the government responses for the economic performance and poverty incidence in Ethiopia for the fiscal years of 2019/20 and 2020/21. It accounts for the impacts of the pandemic on factor productivity, trade costs, export demand, tourism, remittances and foreign direct investment (FDI). An economy‐wide multi‐sectoral model determines impacts at macroeconomic, sectoral, and household levels. A poverty analysis module characterises the effects of the pandemic on food poverty headcount, gap, and severity. Results show that the COVID‐19 impacts could have been significant across all macroeconomic metrics had the government not intervened through fiscal and spending measures. However, much of the recovery through government intervention was driven by agricultural and food processing sectors while output in manufacturing, construction and services sectors continued to be negatively affected. Without government intervention, the food poverty headcount would have increased by about five percentage points. The government measures have mitigated that effect allowing food poverty to reach pre‐COVID‐19 values in 2020/21. Nevertheless, with all measures combined, poor urban households may have been left behind and would require more targeted support to compensate for a significant loss of income.

This paper provides a model-based impact analysis of the Common Agricultural Policy (CAP) on the four main regional blocks in Sub-Saharan Africa (SSA). It uses the Modular Agricultural GeNeral Equilibrium Tool (MAGNET), a multi-region computable general equilibrium model. To provide a comprehensive analysis, other key EU policies, such as trade or GHG policies, are modelled as well. A thoroughly prepared reference scenario is contrasted with a counterfactual scenario, where the CAP is removed and ambitious trade agreements with non-African EU trade partners are implemented. Results provide interesting insights into the identification and quantification of - mainly indirect - effects of the CAP in SSA

The concept of 'bioeconomy' is gathering momentum in European Union (EU) policy circles as a sustainable model of growth to reconcile continued wealth generation and employment with bio-based sustainable resource usage. Unfortunately, in the literature an economy-wide quantitative assessment covering the full diversity of this sector is lacking due to relatively poor data availability for disaggregated bio-based activities. This research represents a first step by employing social accounting matrices (SAMs) for each EU27 member encompassing a highly disaggregated treatment of traditional 'bio-based' agricultural and food activities, as well as additional identifiable bioeconomic activities from the national accounts data. Employing backward-linkage (BL), forward-linkage (FL) and employment multipliers, the aim is to profile and assess comparative structural patterns both across bioeconomic sectors and EU Member States. The results indicate six clusters of EU member countries with homogeneous bioeconomy structures. Within cluster statistical tests reveal a high tendency toward 'backward orientation' or demand driven wealth generation, whilst inter-cluster statistical comparisons by bio-based sector show only a moderate degree of heterogeneous BL wealth generation and, with the exception of only two sectors, a uniformly homogeneous degree of FL wealth generation. With the exception of forestry, fishing and wood activities, bio-based employment generation prospects are below non bioeconomy activities. Finally, milk and dairy are established as 'key sectors'. ; Published

The COVID-19 pandemic has affected all Sub-Saharan economies through a multitude of impact channels. The study determines the medium-term macroeconomic outcomes of the pandemic on the Kenyan economy and links the results with a detailed food security and nutrition microsimulation module. It thus evaluates the effectiveness of the adopted government measures to reduce the negative outcomes on food security and to enable economic recovery at aggregate, sectoral and household levels. Through income support measures, the food sector and food demand partially recover. However, 1.3% of households still fall below calorie intake thresholds, many of which are in rural areas. Results also indicate that the state of food security in Kenya remains vulnerable to the evolution of the pandemic abroad.