Martin Bruckner

Calculating Energy-Related Co 2 Emissions Embodied In International Trade Using A Global Input--Output Model

The Global Resource Accounting Model (GRAM) is an environmentally-extended multi-regional input–output model, covering 48 sectors in 53 countries and two regions. Next to CO2 emissions, GRAM also includes different resource categories. Using GRAM, we are able to estimate the amount of carbon emissions embodied in international trade for each year between 1995 and 2005. These results include all origins and destinations of emissions, so that emissions can be allocated to countries consuming the products that embody these emissions. Net-CO2 imports of OECD countries increased by 80% between 1995 and 2005. These findings become particularly relevant, as the externalisation of environmental burden through international trade might be an effective strategy for industrialised countries to maintain high environmental quality within their own borders, while externalising the negative environmental consequences of their consumption processes to other parts of the world. This paper focuses on the methodological aspects and data requirements of the model, and shows results for selected countries and aggregated regions.

Carbon and Materials Embodied in the International Trade of Emerging Economies

Production in emerging economies, such as Brazil, Russia, India, China, South Africa, and Argentina (BRICSA), increased substantially over the past two decades. This is, on the one hand, due to growing domestic demand within these countries, and, on the other hand, due to a deepened international division of work. Global trade linkages have become denser and production chains are no longer restricted to only one or two countries. The volume of international trade in intermediate inputs as well as final consumption goods has tripled in the past two decades. With this, carbon dioxide (CO) emissions and materials embodied in traded goods have increased, making it increasingly difficult to identify the actual causes of emissions and material extractions, as producing and extracting countries are not necessarily consuming the resulting goods. Using the multiregional input‐output Global Resource Accounting Model (GRAM), this article shows how global carbon emissions and materials requirements are allocated from producing/extracting countries to consuming countries. It thereby contributes to the rapidly growing body of literature on environmental factors embodied in international trade by bringing two key environmental categories — CO emissions and materials — into one consistent and global framework of analysis for the first time. The results show that part of the increase in carbon emissions and materials extraction in BRICSA is caused by increasing amounts of trade with countries in the Organisation for Economic Co‐operation and Development as well as a growing demand for goods and services produced within BRICSA.

Material Footprint Assessment in a Global Input‐Output Framework

Material flow‐based indicators play an important role in measuring green and resource‐efficient growth. This article examines the global flows of materials and the amounts of materials directly and indirectly necessary to satisfy domestic final demand in different countries world‐wide. We calculate the indicator Raw Material Consumption (RMC), also referred to as material footprint (MF), by applying a global, multiregional input‐output model based on the Global Trade Analysis Project (GTAP) database and extended by material extraction data. We examine world‐wide patterns of material extraction and materials embodied in trade and consumption, investigating changes between 1997 and 2007. We find that flows of materials related to international trade have increased by almost 60% between 1997 and 2007. We show that the differences in MFs per capita are huge, ranging from up to 100 tonnes in the rich, oil‐exporting countries to values as low as 1.5 to 2.0 tonnes in some developing countries. We also quantify the differences between the indicators Domestic Material Consumption (DMC) and RMC, illustrating that net material exporters generally have a DMC larger than RMC, whereas the reverse is observed for net importers. Finally, we confirm the fact that most countries with stable or declining DMCs actually show increasing RMCs, indicating the occurrence of leakage effects, which are not fully captured by DMC. This challenges the world‐wide use of DMC as a headline indicator for national material consumption and calls for the consideration of upstream material requirements of international trade flows.

EXIOBASE 3: Developing a Time Series of Detailed Environmentally Extended Multi‐Regional Input‐Output Tables

Environmentally extended multiregional input-output (EE MRIO) tables have emerged as a key framework to provide a comprehensive description of the global economy and analyze its effects on the environment. Of the available EE MRIO databases, EXIOBASE stands out as a database compatible with the System of Environmental-Economic Accounting (SEEA) with a high sectorial detail matched with multiple social and environmental satellite accounts. In this paper, we present the latest developments realized with EXIOBASE 3-a time series of EE MRIO tables ranging from 1995 to 2011 for 44 countries (28 EU member plus 16 major economies) and five rest of the world regions. EXIOBASE 3 builds upon the previous versions of EXIOBASE by using rectangular supply-use tables (SUTs) in a 163 industry by 200 products classification as the main building locks. In order to capture structural changes, economic developments, as reported by national statistical agencies, were imposed on the available, disaggregated SUTs from EXIOBASE 2. These initial estimates were further refined by incorporating detailed data on energy, agricultural production, resource extraction, and bilateral trade. EXIOBASE 3 inherits the high level of environmental stressor detail from its precursor, with further improvement in the level of detail for resource xtraction. To account for the expansion of the European Union (EU), EXIOBASE 3 was developed with the full EU28 country set (including the new member state Croatia). EXIOBASE 3 provides a unique tool for analyzing the dynamics of environmental pressures of economic activities over time.

Towards Robust, Authoritative Assessments of Environmental Impacts Embodied in Trade: Current State and Recommendations

Global multiregional input-output databases (GMRIOs) became the standard tool for track ing environmental impacts through global supply chains. To date, several GMRIOs are available, but the numerical results differ. This paper considers how GMRIOs can be made more robust and authoritative. We show that GMRIOs need detail in environmentally relevant sectors. On the basis of a review of earlier work, we conclude that the highest uncertainty in footprint analyses is caused by the environmental data used in a GMRIO, followed by the size of country measured in gross domestic product (GDP) as fraction of the global total, the structure of the national table, and only at the end the structure of trade. We suggest the following to enhance robustness of results. In the short term, we recommend using the Single country National Accounts Consistent footprint approach, that uses official data for extensions and the national table for the country in question, combined with embodiments in imports calculated using a GMRIO. In a time period of 2 to 3 years, we propose work on harmonized environmental data for water, carbon, materials, and land, and use the aggregated Organization for Economic Cooperation and Development (OECD) Inter-Country Input-Output GMRIO as default in combination with detailing procedures developed in, for example, the EXIOBASE and Eora projects. In the long term, solutions should be coordinated by the international organizations such as the United Nations (UN) Statistical Division, OECD, and Eurostat. This could ensure that when input-output tables and trade data of individual countries are combined, that the global totals are consistent and that bilateral trade asymmetries are resolved.

Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments

ABSTRACT Recent empirical assessments revealed that footprint indicators calculated with various multi-regional input–output (MRIO) databases deliver deviating results. In this paper, we propose a new method, called structural production layer decomposition (SPLD), which complements existing structural decomposition approaches. SPLD enables differentiating between effects stemming from specific parts in the technology matrix, e.g. trade blocks vs. domestic blocks, while still allowing to link the various effects to the total region footprint. Using the carbon footprint of the EU-28 in 2011 as an example, we analyse the differences between EXIOBASE, Eora, GTAP and WIOD. Identical environmental data are used across all MRIO databases. In all model comparisons, variations in domestic blocks have a more significant impact on the carbon footprint than variations in trade blocks. The results provide a wealth of information for MRIO developers and are relevant for policy makers designing climate policy measures targeted to specific stages along product supply chains.

Lokale Energiesysteme der Zukunft

Gemeinden, die ihren Beitrag fur ein nachhaltiges Energiesystem leisten wollen, mussen ihre Optionen anhand einer Reihe von Nachhaltigkeitskriterien abwagen. Eine partizipative Bewertung von Energieszenarien kann als innovatives Instrument dazu beitragen.

Sustainability performance of national bio-economies

An increasing number of countries develop bio-economy strategies to promote a stronger reliance on the efficient use of renewable biological resources in order to meet multiple sustainability challenges. At the global scale, however, bio-economies are diverse, with sectors such as agriculture, forestry, energy, chemicals, pharmaceuticals, as well as science and education. In this study, we developed a typology of bio-economies based on country-specific characteristics, and describe five different bio-economy types with varying degrees of importance in the primary and the high-tech sector. We also matched the bio-economy types against the foci of their bio-economy strategies and evaluated their sustainability performance. Overall, high-tech bio-economies seem to be more diversified in terms of their policy strategies while the policies of those relying on the primary sector are focused on bioenergy and high-tech industries. In terms of sustainability performance, indicators suggest that diversified high-tech economies have experienced a slight sustainability improvement, especially in terms of resource consumption. Footprints remain, however, at the highest levels compared to all other bio-economy types with large amounts of resources and raw materials being imported from other countries. These results highlight the necessity of developed high-tech bio-economies to further decrease their environmental footprint domestically and internationally, and the importance of biotechnology innovation transfer after critical and comprehensive sustainability assessments.

Data, Indicators and Targets for Comprehensive Resource Policies

Today’s most pressing environmental problems, such as climate change, biodiversity loss, land cover conversion, etc. are caused by the overall growth of production and consumption. For a methodologically sound and comprehensive measurement of societal resource use and its environmental, economic and social impacts as well as for monitoring progress towards defined targets, appropriate indicators are needed. In addition to the territorial indicators currently in use, such indicators take into account resources “embodied” in traded goods and services. These “footprint-type indicators” help understand to what extent a country’s economy, the environment, and the resource efficiency performance of goods and services are influenced by global value chains. In this book chapter we discuss the state of the art of data and indicator development focussing on three different types of natural resources – raw materials, land, and water. First an overview of methodological options regarding environmental accounting frameworks as well as the calculation of footprint-type indicators is provided. We show empirical trends of resource use and analyse to what extent drivers of global resource use such as the European Union have managed to decouple their economic development from resource use. Methodological requirements and necessary next developments are identified and the ongoing processes as well as empirical analyses linked to the question of how targets for sustainable resource use can be identified in both regards, to the methodological as well as institutional level.

Measuring Natural Resource Use from the Micro to the Macro Level

Many of today’s most urgent environmental problems are related to the increasing volumes of worldwide production and consumption and the associated use of natural resources. Solid indicators to measure different dimensions of anthropogenic resource use are essential for designing appropriate policy measures for a sustainable management of these resources. Based on a brief review of the current state of the art of resource use indicators, this chapter describes a set of complementary environmental indicators, combining existing measures for the use of materials, water and land as well as emissions of greenhouse gases. This set can be applied consistently from the micro level of products and companies up to the macro level of countries and world regions, where all suggested indicators take a life cycle perspective on production and consumption activities. The set of indicators deals with the issue of the overall scale of the human production and consumption system and can be regarded as a framework of pressure indicators, based on which indicators on different environmental impacts can be derived. Moreover, these pressure indicators are considered as appropriate proxies for the human impact on the environment. The described set of indicators thus covers natural resource use in a comprehensive and complementary manner and can serve as a basis for setting resource-specific targets and evaluating specific resource policies.