Structural Change and Trade Integration on EU-NIS Borders

This paper investigates the process of trade integration between the enlarged European Union and the Newly Independent States (NIS), focusing on the new EU member states (NMS) and selected NIS (Russia, Ukraine, Belarus, Moldova and Kazakhstan). The paper analyses the evolution of the regional and commodity composition of trade in the countries concerned. A detailed market share analysis reveals the emerging trade specialization patterns. There has been a general trade reorientation of both NMS and (less so) the NIS towards the West. The recent trade developments on EU?NIS borders indicate a closer trade integration among the NMS, a declining trade integration among the NIS, as well contradictory shifts in NMS?NIS exports and imports. The importance of the NIS as export markets for the NMS is growing, in particular for the NIS neighbours. The bulk of EU exports is made up of manufacturing products. By contrast, EU imports from the NMS and NIS display a much more distinct //? OR: diversified?// pattern. The key NMS manufacturing export commodities to the NIS are chemicals, machinery & equipment, motor vehicles and food products, whereas NMS manufacturing imports from the NIS are dominated by basic metals, refined petroleum, chemicals and fabricated metal products, and there is a high concentration on just a few basic manufactures. The NMS increasingly specialize on high-tech and medium-high-tech products. The wide-ranging modernization and industrial restructuring in the NMS has been facilitated by the process of EU integration and by massive inflows of FDI whereas in the NIS the resource specialization generally increased as reforms and restructuring were delayed. It is questionable whether the NIS will be able to revamp their industrial structure without significantly stepping up reform efforts, trade integration and attracting more FDI.EU, Trade Integration, NIS, NMS, compostion of trade

Russian Economic and Integration Prospects

This paper provides an overview of Russian economic developments during the period 2000-2007 and analyses key patterns and drivers of the recent economic growth. The growth sustainanbility is addressed as well, in particular with respect to the role played by energy prices and the growing involvement of the state in the economy, including attempts to implement tools of industrial policy and the public-private project financing schemes. Next, the resurgence of Russia as a regional power in the Commonwealth of Independent States (CIS) and the complicated relations with the European Union (EU) after recent EU enlargements with countries from Central and Eastern Europe are addressed. The paper discusses also prospects for and challenges of the future Russian integration in the European economy and outlines alternative scenarios for a medium-term economic outlook. Finally, the likely policies of the new Russian President Dmitry Medvedev are briefly discussed as well.Russia, economic growth, energy, European integration, economic forecast

Technical description of the IIASA model cluster

A footnote on page one explains that this paper was commissioned by the United Kingdom Office of Climate Change as background work to its report 'Climate Change: Financing Global Forests' (also known as the Eliasch Review) with marginal abatement cost curves (MACCs) used to calculate opportunity costs of reducing forest emissions

A DECOMPOSITION APPROACH TO ASSESS ILUC RESULTS FROM GLOBAL MODELING EFFORTS

Environmental Economics and Policy, Resource /Energy Economics and Policy,

Challenges of Global Agriculture in a Climate Change Context by 2050 (AgCLIM50)

This report presents a global integrated assessment of the range of potential economic impacts of climate change and stringent mitigation measures in the agricultural sector. The analysis employs five global multi-region multi-commodity models and covers selected combinations of socioeconomic storylines and climate signals by mid-century. Model inputs are harmonised by using the same projections for population and GDP growth, as well as relative biophysical crop yield changes due to climate change. Model results can differ depending on model characteristics and the specific quantitative implementations of the socioeconomic storylines.JRC.D.4-Economics of Agricultur

Comparing the impact of future cropland expansion on global biodiversity and carbon storage across models and scenarios

Land-use change is a direct driver of biodiversity and carbon storage loss. Projections of future land-use often include notable expansion of cropland areas in response to changes in climate and food demand, although there are large uncertainties in results between models and scenarios. This study examines these uncertainties by comparing three different socio-economic scenarios (SSP1-3) across three models (IMAGE, GLOBIOM and PLUMv2). It assesses the impacts on biodiversity metrics and direct carbon loss from biomass and soil as a direct consequence of cropland expansion. Results show substantial variation between models and scenarios, with little overlap across all nine projections. Although SSP1 projects the least impact, there are still significant impacts projected. IMAGE and GLOBIOM project the greatest impact across carbon storage and biodiversity metrics due to both extent and location of cropland expansion. Furthermore, for all the biodiversity and carbon metrics used, there is a greater proportion of variance explained by model used. This demonstrates the importance of improving the accuracy of land-based models. Incorporating effects of land-use change in biodiversity impact assessments would also help better prioritise future protection of biodiverse and carbon-rich areas

Harmonization of global land-use change and management for the period 850-2100 (LUH2) for CMPIP6

Human land use activities have resulted in large changes to the biogeochemical and biophysical properties of the Earth's surface, with consequences for climate and other ecosystem services. In the future, land use activities are likely to expand and/or intensify further to meet growing demands for food, fiber, and energy. As part of the World Climate Research Program Coupled Model Intercomparison Project (CMIP6), the international community has developed the next generation of advanced Earth system models (ESMs) to estimate the combined effects of human activities (e.g., land use and fossil fuel emissions) on the carbon-climate system. A new set of historical data based on the History of the Global Environment database (HYDE), and multiple alternative scenarios of the future (2015-2100) from Integrated Assessment Model (IAM) teams, is required as input for these models. With most ESM simulations for CMIP6 now completed, it is important to document the land use patterns used by those simulations. Here we present results from the Land-Use Harmonization 2 (LUH2) project, which smoothly connects updated historical reconstructions of land use with eight new future projections in the format required for ESMs. The harmonization strategy estimates the fractional land use patterns, underlying land use transitions, key agricultural management information, and resulting secondary lands annually, while minimizing the differences between the end of the historical reconstruction and IAM initial conditions and preserving changes depicted by the IAMs in the future. The new approach builds on a similar effort from CMIP5 and is now provided at higher resolution (0.25◦ × 0.25◦) over a longer time domain (850-2100, with extensions to 2300) with more detail (including multiple crop and pasture types and associated management practices) using more input datasets (including Landsat remote sensing data) and updated algorithms (wood harvest and shifting cultivation); it is assessed via a new diagnostic package. The new LUH2 products contain > 50 times the information content of the datasets used in CMIP5 and are designed to enable new and improved estimates of the combined effects of land use on the global carbon-climate system. © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License

Hotspots of uncertainty in land-use and land-cover change projections: a global-scale model comparison

Model-based global projections of future land use and land cover (LULC) change are frequently used in environmental assessments to study the impact of LULC change on environmental services and to provide decision support for policy. These projections are characterized by a high uncertainty in terms of quantity and allocation of projected changes, which can severely impact the results of environmental assessments. In this study, we identify hotspots of uncertainty, based on 43 simulations from 11 global-scale LULC change models representing a wide range of assumptions of future biophysical and socio-economic conditions. We attribute components of uncertainty to input data, model structure, scenario storyline and a residual term, based on a regression analysis and analysis of variance. From this diverse set of models and scenarios we find that the uncertainty varies, depending on the region and the LULC type under consideration. Hotspots of uncertainty appear mainly at the edges of globally important biomes (e.g. boreal and tropical forests). Our results indicate that an important source of uncertainty in forest and pasture areas originates from different input data applied in the models. Cropland, in contrast, is more consistent among the starting conditions, while variation in the projections gradually increases over time due to diverse scenario assumptions and different modeling approaches. Comparisons at the grid cell level indicate that disagreement is mainly related to LULC type definitions and the individual model allocation schemes. We conclude that improving the quality and consistency of observational data utilized in the modeling process as well as improving the allocation mechanisms of LULC change models remain important challenges. Current LULC representation in environmental assessments might miss the uncertainty arising from the diversity of LULC change modeling approaches and many studies ignore the uncertainty in LULC projections in assessments of LULC change impacts on climate, water resources or biodiversity

Integrated Solutions for the Water-Energy-Land Nexus: Are Global Models Rising to the Challenge?

Increasing human demands for water, energy, food and materials, are expected to accentuate resource supply challenges over the coming decades. Experience suggests that long-term strategies for a single sector could yield both trade-offs and synergies for other sectors. Thus, long-term transition pathways for linked resource systems should be informed using nexus approaches. Global integrated assessment models can represent the synergies and trade-offs inherent in the exploitation of water, energy and land (WEL) resources, including the impacts of international trade and climate policies. In this study, we review the current state-of-the-science in global integrated assessment modeling with an emphasis on how models have incorporated integrated WEL solutions. A large-scale assessment of the relevant literature was performed using online databases and structured keyword search queries. The results point to the following main opportunities for future research and model development: (1) improving the temporal and spatial resolution of economic models for the energy and water sectors; (2) balancing energy and land requirements across sectors; (3) integrated representation of the role of distribution infrastructure in alleviating resource challenges; (4) modeling of solution impacts on downstream environmental quality; (5) improved representation of the implementation challenges stemming from regional financial and institutional capacity; (6) enabling dynamic multi-sectoral vulnerability and adaptation needs assessment; and (7) the development of fully-coupled assessment frameworks based on consistent, scalable, and regionally-transferable platforms. Improved database management and computational power are needed to address many of these modeling challenges at a global-scale