We just can’t get enough of the funny stuff kids say. We share our own children’s gems with friends and family. If we’re smart, we write down these scraps of accidental poetry. And we turn them into books. Martin Bruckner is an artist and father who not only recorded the sayings of his daughter, Harper, but used each as the inspiration for a work of art. After posting them on social media, Bruckner became the artist that other parents sought out to transform their own children’s funny words into artwork. Collected here are 100 mini-posters of pure delight, a marriage of the children’s surprising wisdom and the artist’s nimble style, plus the occasional backstory that amplifies both. Every parent will recognize the spirited declarations of personality—“I’m training to be a wolf.” The endearing mangling of language—“Mommy, I don’t need your mouth to talk to me right now.” The creative mixing of metaphors—“I need a tissue to wipe my feelings.” Those precious, heartbreaking outbursts without guile or filters—“I only love you at the toy store.” Illustrated with sweetness and whimsy, each is a window into the irresistible innocence of childhood, even if the sentiment is “Dad, please wipe the bum of this beautiful princess.”

Dieses Buch ""Die Komposition des Buches Jes. c. 28-33. "" wurde in der gesamten Menschheitsgeschichte als wichtig angesehen, und damit dieses Werk niemals vergessen wird, haben wir uns bemüht, es zu bewahren, indem wir dieses Buch in einem modernen Format für gegenwärtige und zukünftige Generationen neu herausgeben. Dieses ganze Buch wurde neu formatiert, neu abgetippt und gestaltet. Diese Bücher bestehen nicht aus gescannten Kopien ihrer Originalarbeit und daher ist der Text klar und lesbar.

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.

The employment impacts of the transition to a post-carbon economy are gaining increasing attention. The post-carbon transition implies fundamental changes in the economy followed by significant changes in the structure of labour demand. Industries with the highest carbon footprint are of utmost importance because of the large expected changes in supply chain structures forced by decarbonisation. The power industry is a crucial component of the transition since its decarbonisation can also help other sectors (such as transportation) switch to cleaner energy fuels. Renewable energy sources are promising technologies that could significantly help foster transition in the energy sector and to provide energy with almost zero greenhouse gas emissions. Restructuring away from fossil fuels will bring about associated job losses in non-renewable energy sectors together with job gains in the renewable energy ones. Building energy infrastructure with a significantly higher share of renewables will also require significant capital investments in new facilities, possibly further fostering employment. Understanding the overall net effects on employment (i.e. job gains vs. job losses) would help inform transition policies in order to design policies guided not only by environment and climate but also by social considerations. To estimate the net effects on employment related to the increasing share of renewable energy, we develop a forward-looking multi-regional input-output model that takes into account the labour demand associated with capital investments in renewable energy infrastructure, separately from operation and maintenance. Modelling capital formation separately allows for a more precise assessment of the changes in labour demand needed to deal with the transition and can better inform related adaptation policies. The modelling consists of gradually replacing the production of electricity from non-renewable energy sources with production from renewables by comparing the effects of two scenarios in five-year intervals until 2050. The model focuses on changes in the European Union (EU) plus the United Kingdom (UK) and shows the net effects on the number of jobs by skill level (low-, medium- and high-skilled) and gender, by industry group and by country.

Global multiregional input-output databases (GMRIOs) became the standard tool for tracking 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.

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 blocks. 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 extraction. 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.

A rapidly growing share of global agricultural areas is devoted to the production of biomass for non-food purposes. The derived products include, for example, biofuels, textiles, detergents or cosmetics. Given the far-reaching global implications of an expanding non-food bioeconomy, an assessment of the bioeconomy's resource use from a footprint perspective is urgently needed. We determine the global cropland footprint of non-food products with a hybrid land flow accounting model combining data from the Food and Agriculture Organization and the multi-regional input-output model EXIOBASE. The globally interlinked model covers all cropland areas used for the production of crop- and animal-based non-food commodities for the years from 1995 to 2010. We analyse global patterns of raw material producers, processers and consumers of bio-based non-food products, with a particular focus on the European Union. Results illustrate that the EU is a major processer and the number one consumer region of non-food cropland, despite being only the fifth largest producing region. Two thirds of the cropland required to satisfy EU non-food consumption are located in other world regions, giving rise to a significant dependency on imported products and to potential impacts on distant ecosystems. With almost 29% in 2010, oilseed production, used to produce, for example, biofuels, detergents and polymers, represents the dominant share in the EU's non-food cropland footprint. There is also a significant contribution of more traditional non-food biomass uses such as fibre crops (for textiles) and animal hides and skins (for leather products). Our study emphasises the importance of comprehensively assessing the implications of the non-food bioeconomy expansion as envisaged in various policy strategies, such as the Bioeconomy Strategy of the European Commission.