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.
Food security represents a key challenge in most Sub-Saharan African countries and in Kenya in particular where still a relevant share of the population lives below a minimum dietary energy consumption. Kenya addresses this concern with a noteworthy policy mix, aiming at giving to the agricultural sector a leading task in improving food security. This paper evaluates the impacts on food security of expanding fertilizer capacities in Kenya, combined with a set of additional policy changes targeting fertilizer use. In atop-down analysis, aspecific Computable General Equilibrium (CGE) model is linked with amicrosimulation approach. Scenarios present overall positive effects on key food security aggregates. The same is true for welfare. Nevertheless, the heterogeneity of households across and within regions suggests that improving input productivity through better market access and service extension are critical to reducing possible discrepancies across farmers, households and regions. The paper concludes on the need for asound policy mix since increasing fertilizer production alone is not enough to enhance food security evenly. Among accompanying measures, intensifying extension services are essential especially for smallholders in their acquisition of better knowledge on the use of agricultural inputs.
This paper quantifies the economic effects of climate change on Turkey. We use an integrated framework that combines an economy-wide model with a crop water requirement model to analyse the probable effects of the B1 scenario of the intergovernmental panel on climate change which is comparable to representative concentration pathway 4.5 scenario. Results suggest that the economic effects of climate change will not have serious economic effects over the period up to late 2030s, but the negative effects dominate the economy in the second half of this century. This provides Turkey an excellent opportunity to increase resilience and implement appropriate adaptation policies. The impact of climate change varies across regions. Agriculture and food production will be heavily affected. Especially irrigated production will decline as water stress increases. Significant decline in agricultural production is transmitted throughout the economy and reduces national welfare. Part of agriculture's decline is compensated by imports, thus deteriorating Turkey's food trade balance.
The extent to which agricultural trade liberalisation can be an adaptation strategy in the face of climate change remains to be an open discussion in the literature. We set out to answer this question in the context of Morocco and Turkey by taking into account the impact of climate change on agricultural international markets at the global level. We use the GTAP model, combined with a newly developed global database on climate change impacts on agricultural crop sectors by 2050 as captured by yield projections. Results suggest that the more trade is liberalised, the higher global welfare gains are. However, the gains are not large enough to offset the loss from climate change impacts on agricultural productivity globally. In Morocco, agricultural trade liberalisation, on average, induces additional welfare losses. The main drivers are the deterioration in the terms of trade that offsets all the potential gains from the better allocation of economic resources due to free trade. For Turkey, trade liberalisation induces net welfare gains under all scenarios. The larger the tariff elimination scheme, the larger the net gains due to the more efficient allocation of economic resources, which partially offset the impact of declining terms of trade.
This paper describes the structure and estimation of a Social Accounting Matrix (SAM) of Kenya for the year 2014. Among its specificities, this SAM includes a very high disaggregation of the agri‐food sector and accounts for the double role of households as producers and consumers. Accounting for these characteristics is crucial to provide robust socioeconomic analysis in the context of developing countries. Indeed, this type of database is valuable to perform ex‐ante evaluations of economic policies with various economic models and techniques. In this paper, we present an application with a linear multiplier analysis (backward linkages and value chain decomposition). The results show the capacity of the primary sector in Kenya to generate value added and employment, with this growth distributed more intensely in rural households whose main livelihood is semi‐subsistence agriculture.
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