Arunima Malik

Trends in Global Greenhouse Gas Emissions from 1990 to 2010

Anthropogenic carbon dioxide emissions are known to alter hydrological cycles, disrupt marine ecosystems and species lifecycles, and cause global habitat loss. In this study, we use a comprehensive global input-output database to assess the driving forces underlying the change in global CO2 emissions from 1990 to 2010. We decompose the change in emissions for the 20 year period into six mutually exclusive causal determinants. Our assessment of trends in fuel-use reveals that a 10.8 Peta-gram (Pg) rise in emissions from 1990 to 2010 constitutes emissions from the consumption of coal (49%), petroleum (25%), natural gas (17%), and biomass (9%). We demonstrate that affluence (per-capita consumption) and population growth are outpacing any improvements in carbon efficiency in driving up emissions worldwide. Our results suggest that supply chain measures to improve technological efficiency are not sufficient to reduce emissions. To achieve significant emission savings, policy makers need to address the issue of affluence. We argue that policies to address unsustainable lifestyles and consumer behavior are largely unheard of, and governments may need to actively intervene in nonsustainable lifestyles to achieve emission reductions. The results presented in this paper are vital for informing future policy decisions for mitigating climate change.

The role of outsourcing in driving global carbon emissions

ABSTRACT Globalisation has narrowed the gap between producers and consumers of goods and services. The linkages between international trade and carbon dioxide (CO2) emissions have started to be recognised, yet the extent of outsourcing of emissions across nations is unknown. Filling this gap in knowledge is critical for designing effective policy mechanisms for assigning responsibility for reductions in emissions. Here we present a structural decomposition analysis of global trends in outsourcing of emissions from 1990 to 2010 for 186 individual countries. To this end, we disaggregate total CO2 emissions for each country into contributions from the domestic economy and international trade. This allows us to unveil outsourcing trends for all nations confirming a world-wide shifting of emissions-intensive production across borders. We categorise nations into “outsourcers” – countries that outsource carbon-intensive production to so-called contractor nations. Our detailed assessment of the commodity content of global outsourcing flows reveals interesting insights about the trade of carbon-intensive commodities.

Triple bottom line study of a lignocellulosic biofuel industry

Growing concerns about energy security and climate change have prompted interest in Australia and worldwide to look for alternatives of fossil fuels. Among the renewable fuel sources, biofuels are one such alternative that have received unprecedented attention in the past decade. Cellulosic biofuels, derived from agricultural and wood biomass, could potentially increase Australias oil self‐sufficiency. In this study, we carry out a hybrid life‐cycle assessment (LCA) of a future cellulose‐refining industry located in the Green Triangle region of South Australia. We assess both the upstream and downstream refining stages, and consider as well the life‐cycle effects occurring in conventional industries displaced by the proposed biofuel supply chains. We improve on conventional LCA method by utilising multi‐region input–output (IO) analysis that allows a comprehensive appraisal of the industrys supply chains. Using IO‐based hybrid LCA, we evaluate the social, economic and environmental impacts of lignocellulosic biofuel production. In particular, we evaluate the employment, economic stimulus, energy consumption and greenhouse gas impacts of the biofuel supply chain and also quantify the loss in economic activity and employment in the paper, pulp and paperboard industry resulting from the diversion of forestry biomass to biofuel production. Our results reveal that the loss in economic activity and employment will only account for 10% of the new jobs and additional stimulus generated in the economy. Lignocellulosic biofuel production will create significant new jobs and enhance productivity and economic growth by initiating the growth of new industries in the economy. The energy return on investment for cellulosic biofuel production lies between 2.7 and 5.2, depending on the type of forestry feedstock and the travel distance between the feedstock industry and the cellulose refinery. Furthermore, the biofuel industry will be a net carbon sequester.

New multi-regional input–output databases for Australia – enabling timely and flexible regional analysis

ABSTRACT Decision-making at regional scales requires timely information. Within four months of the release of official national statistics, we have produced a time-series (2008–2015) of balanced sub-national, multi-regional supply-and-use tables (MR-SUT), integrated with a set of socio-economic and environmental accounts. This was achieved using the Australian IELab, where data used in this study are available (https://ielab.info/resources/91). Four multi-regional, environmentally extended supply-use tables regionalised in different ways were produced to demonstrate the flexibility of tailoring input–output models to specific research or policy questions. Results for satellite coefficients are sensitive to the chosen regional grouping and method for regionalisation. We demonstrate the relevance of such purpose-built information to government and corporate decision-makers by analysing the indirect economic and employment consequences of a slowdown of the mining boom in Western Australia. The demonstrated innovations in flexibility and timeliness will help move past some of the limitations that have historically hindered the uptake and utility of applied input–output analysis.

The Corruption Footprints of Nations

Summary In this study, we innovatively apply multiregional input-output analysis to calculate corruption footprints of nations and show the details of commodities that use the most employment affected by corruption (EAC), as they flow between countries. Every countrys corruption footprint includes its domestic corruption and the corruption imported by global supply chains to meet final demand. Our results show that, generally, the net corruption exporters are developing countries, with the exception of Italy where corruption is likely to be more affected by political and cultural factors than economic factors. China is the largest gross corruption exporter, and India follows close behind, with clothing as one of the industries in which the most people are affected by corruption. This is because: (1) China and India are major clothing exporters, thus many workers are employed in the clothing industry within the country as well as in countries providing intermediate commodities by supply chains, and (2) corruption is high in China and India. Our results can be useful to identify where regulations to combat corruption can have the greatest impact. More important, the method we use can be applied to link corruption to other economic and social aspects of trade, such as working conditions, thus making it possible to find avenues for tackling the problem that are not usually considered in anticorruption strategies.

The carbon footprint of Australian health care

BACKGROUND Carbon footprints stemming from health care have been found to be variable, from 3% of the total national CO2 equivalent (CO2e) emissions in England to 10% of the national CO2e emissions in the USA. We aimed to measure the carbon footprint of Australias health-care system. METHODS We did an observational economic input-output lifecycle assessment of Australias health-care system. All expenditure data were obtained from the 15 sectors of the Australian Institute of Health and Welfare for the financial year 2014-15. The Australian Industrial Ecology Virtual Laboratory (IELab) data were used to obtain CO2e emissions per AUS

The carbon footprint of global tourism

spent on health care. FINDINGS In 2014-15 Australia spent

A hybrid method for quantifying China's nitrogen footprint during urbanisation from 1990 to 2009.

161·6 billion on health care that led to CO2e emissions of about 35 772 (68% CI 25 398-46 146) kilotonnes. Australias total CO2e emissions in 2014-15 were 494 930 kilotonnes, thus health care represented 35 772 (7%) of 494 930 kilotonnes total CO2e emissions in Australia. The five most important sectors within health care in decreasing order of total CO2e emissions were: public hospitals (12 295 [34%] of 35 772 kilotonnes CO2e), private hospitals (3635 kilotonnes [10%]), other medications (3347 kilotonnes [9%]), benefit-paid drugs (3257 kilotonnes [9%]), and capital expenditure for buildings (2776 kilotonnes [8%]). INTERPRETATION The carbon footprint attributed to health care was 7% of Australias total; with hospitals and pharmaceuticals the major contributors. We quantified Australian carbon footprint attributed to health care and identified health-care sectors that could be ameliorated. Our results suggest the need for carbon-efficient procedures, including greater public health measures, to lower the impact of health-care services on the environment. FUNDING None.

Advancements in Input-Output Models and Indicators for Consumption-Based Accounting: MRIO Models for Consumption-Based Accounting

Tourism contributes significantly to global gross domestic product, and is forecast to grow at an annual 4%, thus outpacing many other economic sectors. However, global carbon emissions related to tourism are currently not well quantified. Here, we quantify tourism-related global carbon flows between 160 countries, and their carbon footprints under origin and destination accounting perspectives. We find that, between 2009 and 2013, tourism’s global carbon footprint has increased from 3.9 to 4.5 GtCO2e, four times more than previously estimated, accounting for about 8% of global greenhouse gas emissions. Transport, shopping and food are significant contributors. The majority of this footprint is exerted by and in high-income countries. The rapid increase in tourism demand is effectively outstripping the decarbonization of tourism-related technology. We project that, due to its high carbon intensity and continuing growth, tourism will constitute a growing part of the world’s greenhouse gas emissions.Tourism is a significant contributor to the global economy, with potentially large environmental impacts. Origin and destination accounting perspectives are used to provide a comprehensive assessment of global tourism’s carbon footprint.

Author Correction: The carbon footprint of global tourism

In this study, we devise a national nitrogen footprint method to evaluate the life cycle nitrogen flows through the national economy of China from 1990 to 2009. To this end, we build a hybrid method based on two well-established techniques, namely material flow analysis (MFA) and input-output analysis (IOA). This integration allows for the evaluation of the effects of international trade and interdependencies among economic sectors. Our results suggest that Chinas nitrogen footprint (NF) has increased from 30.3Teragrams (Tg) in 1990 to 54.0Tg in 2009, whereas the NF per capita has increased from 25.9 to 39.5kgN/yr. Relationship between the world NF per capita and human development index (HDI) appears to show an inverted U curve, whilst China shows an increase both in NF per capita and HDI. We find that an increase in Chinas NF is largely associated with high levels of urbanisation. Although the energy NF (E_NF) has increased more drastically than the food NF (F_NF), the latter still dominates Chinas total NNF, with proportions of 91% in 1990 and 82% in 2009. Taking international trade into account, our results demonstrate that China was a net exporter of F_NF, whilst a net importer of E_NF over this time period. There are many measures considered to reduce Chinas nitrogen footprint, including improvements in N use efficiency of food systems, transformation of meat-based diets and optimisation of Chinas economic structure.