Levelling the playing field for EU biomass usage

The threats of climate change, food security, resource depletion and energy security are driving society towards a sustainable low-carbon future. Within this paradigm, biomass plays an invaluable role in meeting the food, feed, energy and material needs of future generations. Current EU thinking advocates biomass for high-value materials, which is not aligned with EU public policy support for ‘lower value’ bioenergy applications. ‘High-technology’ and ‘no bioenergy mandate’ pathways explore market conditions that generate a more equitable distribution between competing biomass conversion technologies and competing biomass and fossil technologies. In achieving greater equity, these pathways ease biomass market tensions; enhance EU food security; improve EU biobased trade balances; accelerate biomaterial sectors’ output performance and favour macroeconomic growth. Moreover, an additional 80% increase in the oil price signals a tipping point in favour of first generation biofuels, whilst simultaneously boosting output in advanced material conversion technologies even more than the high-technology pathway.     

Agriculture and climate change in global scenarios: why don't the models agree

Agriculture is unique among economic sectors in the nature of impacts from climate change. The production activity that transforms inputs into agricultural outputs involves direct use of weather inputs (temperature, solar radiation available to the plant, and precipitation). Previous studies of the impacts of climate change on agriculture have reported substantial differences in outcomes such as prices, production, and trade arising from differences in model inputs and model specification. This article presents climate change results and underlying determinants from a model comparison exercise with 10 of the leading global economic models that include significant representation of agriculture. By harmonizing key drivers that include climate change effects, differences in model outcomes were reduced. The particular choice of climate change drivers for this comparison activity results in large and negative productivity effects. All models respond with higher prices. Producer behavior differs by model with some emphasizing area response and others yield response. Demand response is least important. The differences reflect both differences in model specification and perspectives on the future. The results from this study highlight the need to more fully compare the deep model parameters, to generate a call for a combination of econometric and validation studies to narrow the degree of uncertainty and variability in these parameters and to move to Monte Carlo type simulations to better map the contours of economic uncertainty.     

Global models applied to agricultural and trade policies: a review and assessment

The continuing process of global integration bears implications for farmers and related supplying and processing industries in all parts of the world, but also for the rest of the world economy. An assessment of agricultural and trade policy impacts is bound to be complex and is often supported by quantitative modeling analysis. This article provides an assessment of the present state of applied modelling in the area of trade and agricultural policies. We provide in this paper a comparative assessment of alternative modelling approaches, considering a total of 16 partial equilibrium and general equilibrium models. The assessment includes theoretical modelling foundations, datasets employed and institutional aspects, such as model maintenance and dissemination of results. A typology of models is provided by structuring the assessment along a clear set of evaluation criteria.     

Endogenous International Technology Spillovers and Biased Technical Change in Agriculture

This paper analyzes trade-related knowledge flows from an innovating country to other countries. It is assumed that knowledge is embodied in commodities traded between countries and that the potential productivity of this knowledge is determined by the local usability of foreign technologies. The usability of foreign knowledge is dependent on the local absorption capacity (such as knowledge infrastructure and human capital) and on structural differences (factor endowments or climate) between countries. In agriculture, a large portion of the knowledge is embodied in inputs which cause factor-biased technical change in the receiving sectors. Trade-related knowledge transmission is introduced in an applied multi-region general equilibrium model (GTAP) to study the macro-economic and sectoral impacts of knowledge spillovers and of trade policies. Endogenous embodied technology spillovers bear some important implications for trade policy, because protective measures preclude countries not only from cheaper imports but also from foreign technologies.     

Measuring the Impact of Direct and Indirect R&D on the Productivity Growth of Industries: Using the Yale Technology Concordance

This paper investigates the impact of direct and indirect R&D on the productivity growth of 30 French industries during the period 1978–92. The main aim of this paper is to assess the appropriateness of the Yale Technology Concordance (YTC) as a proxy for indirect R&D flows. We compare the effect on productivity growth of the Yale proxy with the traditional proxy based on goods input–output flows, and assess their suitability for different groups of industries. Results indicate that the indirect YTC proxy performs slightly better than the traditional proxy, as a result of superior performance in the high-tech and service sectors in particular.     

The future of food demand: understanding differences in global economic models

Understanding the capacity of agricultural systems to feed the world population under climate change requires projecting future food demand. This article reviews demand modeling approaches from 10 global economic models participating in the Agricultural Model Intercomparison and Improvement Project (AgMIP). We compare food demand projections in 2050 for various regions and agricultural products under harmonized scenarios of socioeconomic development, climate change, and bioenergy expansion. In the reference scenario (SSP2), food demand increases by 59–98% between 2005 and 2050, slightly higher than the most recent FAO projection of 54% from 2005/2007. The range of results is large, in particular for animal calories (between 61% and 144%), caused by differences in demand systems specifications, and in income and price elasticities. The results are more sensitive to socioeconomic assumptions than to climate change or bioenergy scenarios. When considering a world with higher population and lower economic growth (SSP3), consumption per capita drops on average by 9% for crops and 18% for livestock. The maximum effect of climate change on calorie availability is ?6% at the global level, and the effect of biofuel production on calorie availability is even smaller.     

The impact of R&D on factor-augmenting technical change – an empirical assessment at the sector level*

The aim of the paper is to quantify endogenous factor-augmenting technical change driven by R&D investments in a panel of 11 OECD countries over 1987–2007. This paper contributes to the scant empirical evidence on the speed, sources and direction of technical change for various sectors and production factors. Assuming cost-minimization behavior, a CES framework is used to derive a system of equations that is estimated by a GMM system estimator. The estimated factor-augmenting technology parameters show that in most sectors, technical change was labor-augmenting and labor-saving. Statistically significant effects of manufacturing and services R&D were found on factor-augmenting technical change (with the highest R&D elasticities found in the high-tech manufacturing and transport, storage and communication sectors). Whereas ‘in-house’ R&D stimulates total factor productivity, R&D spilled over to other sectors has a capital-augmenting effect accompanied by a higher use of labor. The results of this study provide a starting point for incorporating endogenous factor-augmenting technical change in impact assessment models aimed at broad policy analysis including economic growth, food security or climate change.     

International diffusion of gains from biotechnology and the European Union's Common Agricultural Policy

This paper analyses the impact of adopting or rejecting genetically modified (GM) crops in the European Union, taking into account the EU Common Agricultural Policy (CAP). In this paper the productivity impact of genetically modified organisms (GMOs) differs across crops, taking factor biased technology change into account. The transfer of knowledge across countries is modelled as a process of endogenous knowledge spill-overs. Analysis with a multi-region applied general equilibrium model shows that the CAP protects farm income and production despite non-adoption of the more productive GM crops in the EU. The EU will forgo substantial benefits in terms of economic welfare if it bans GM imports.