Dabo Guan

ORCID: 0000-0003-3773-3403
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About
Contact & Profiles
Research Areas
  • Environmental Impact and Sustainability
  • Energy, Environment, Economic Growth
  • Climate Change Policy and Economics
  • Air Quality and Health Impacts
  • Energy, Environment, and Transportation Policies
  • Vehicle emissions and performance
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric chemistry and aerosols
  • Energy and Environment Impacts
  • Climate Change and Health Impacts
  • Urban Transport and Accessibility
  • Water resources management and optimization
  • Infrastructure Resilience and Vulnerability Analysis
  • COVID-19 impact on air quality
  • Water-Energy-Food Nexus Studies
  • Environmental Policies and Emissions
  • Water Resources and Sustainability
  • Flood Risk Assessment and Management
  • Disaster Management and Resilience
  • COVID-19 epidemiological studies
  • Marine and coastal ecosystems
  • Coastal and Marine Management
  • Marine Biology and Ecology Research
  • COVID-19 Pandemic Impacts
  • Global Health Care Issues

Tsinghua University
2016-2025

University College London
2020-2024

Royal Ontario Museum
2023

University of East Anglia
2014-2022

ORCID
2021

Shanghai University of Finance and Economics
2015-2020

World Bank
2020

Tyndall Centre
2015-2019

Beijing Institute of Technology
2016-2019

Norwich Research Park
2016-2018

Abstract China is the world’s top energy consumer and CO 2 emitter, accounting for 30% of global emissions. Compiling an accurate China’s emissions first step in implementing reduction policies. However, no annual, officially published data exist China. The current estimated by academic institutes scholars exhibit great discrepancies. gap between different estimates approximately equal to total Russian Federation (the 4th highest emitter globally) 2011. In this study, we constructed...

10.1038/sdata.2017.201 article EN cc-by Scientific Data 2018-01-16

Abstract Despite China’s emissions having plateaued in 2013, it is still the world’s leading energy consumer and CO 2 emitter, accounting for approximately 30% of global emissions. Detailed emission inventories by sector have great significance to carbon policies as well achieving climate change mitigation targets. This study constructs most up-to-date China its 30 provinces, their years 2016 2017. The newly compiled provide key updates supplements our previous dataset 1997–2015. Emissions...

10.1038/s41597-020-0393-y article EN cc-by Scientific Data 2020-02-13

This study seeks to estimate the carbon implications of recent changes in China's economic development patterns and role global trade post-financial-crisis era. We utilised latest socioeconomic datasets compile 2012 multiregional input-output (MRIO) table. Environmentally extended analysis structural decomposition (SDA) were applied investigate driving forces behind CO

10.1038/s41467-017-01820-w article EN cc-by Nature Communications 2017-11-17

The considerable cessation of human activities during the COVID-19 pandemic has affected global energy use and CO2 emissions. Here we show unprecedented decrease in fossil emissions from January to April 2020 was 7.8% (938 Mt with a +6.8% 2-{\sigma} uncertainty) when compared period last year. In addition other emerging estimates COVID impacts based on monthly supply or estimated parameters, this study contributes another step that constructed near-real-time daily emission inventories...

10.1038/s41467-020-18922-7 article EN cc-by Nature Communications 2020-10-14

Recent studies have shown that the high standard of living enjoyed by people in richest countries often comes at expense CO2 emissions produced with technologies low efficiency less affluent, developing countries. Less apparent is this relationship between developed and can exist within a single country's borders, rich regions consuming exporting high-value goods services depend upon production low-cost emission-intensive from poorer same country. As world's largest emitter CO2, China...

10.1073/pnas.1219918110 article EN Proceedings of the National Academy of Sciences 2013-06-10

China's rapidly growing economy and energy consumption are creating serious environmental problems on both local global scales. Understanding the key drivers behind associated CO2 emissions is critical for development of climate policies provides insight into how other emerging economies may develop a low future. Using recently released Chinese economic input-output data structural decomposition analysis we analyze changes in technology, structure, urbanization, lifestyles affect emissions....

10.1021/es070108f article EN Environmental Science & Technology 2007-08-02

This article provides an overview of how generalised multi-regional input–output models can be used for carbon footprint applications. We focus on the relevance and suitability such evidence to inform decision making. Such is currently missing. Drawing UK results, we cover applications in seven areas: national emissions inventories trade, emission drivers, economic sectors, supply chains, organisations, household consumption lifestyles as well sub-national inventories. The highlights...

10.1080/09535310903541298 article EN Economic Systems Research 2009-09-01

Significance Freshwater resources are unevenly distributed in China. This situation drives a significant amount of water flow both physically and virtually across Here, we report on our quantification China’s physical virtual flows associated stress at the provincial level. In 2007, interprovincial amounted to only small part total supply, but over one-third supply. We found that exacerbated for main water-exporting provinces. The results highlight need more emphasis be placed demand...

10.1073/pnas.1404130112 article EN Proceedings of the National Academy of Sciences 2015-01-12

China is the world's largest energy consumer and CO2 emitter. Cities contribute 85% of total emissions in thus are considered as key areas for implementing policies designed climate change adaption emission mitigation. However, inventory construction Chinese cities has not been well researched, mainly owing to lack systematic statistics poor data quality. Focusing on this research gap, we developed a set methods constructing inventories based balance table. The newly constructed compiled...

10.1016/j.jclepro.2017.06.075 article EN cc-by Journal of Cleaner Production 2017-06-14

Significance International trade affects global air pollution and transport by redistributing emissions related to production of goods services potentially altering the total amount emissions. Here we analyze influences combining an economic-emission analysis on China’s bilateral atmospheric chemical modeling. Our focused US quality shows that Chinese for exports contributes, at a maximum daily basis, 12–24% sulfate over western United States. The outsourcing manufacturing China might have...

10.1073/pnas.1312860111 article EN Proceedings of the National Academy of Sciences 2014-01-21

Economic globalization and concomitant growth in international trade since the late 1990s have profoundly reorganized global production activities related CO2 emissions. Here we show among developing nations (i.e., South-South trade) has more than doubled between 2004 2011, which reflects a new phase of globalization. Some are relocating from China India to other countries, particularly raw materials intermediate goods energy-intensive sectors. In turn, emissions embodied Chinese exports...

10.1038/s41467-018-04337-y article EN cc-by Nature Communications 2018-05-08

China's economy has been growing at an accelerated rate from 2002 to 2005 and with it carbon emissions. It is easier understand the growth in emissions by considering which consumption activities ‐ households government, capital investments, international trade drive Chinese production hence This paper adopts structural decomposition analysis, a macro‐economic approach using data national statistical offices, investigate drivers of recent CO 2 surge. The speed efficiency gains sectors cannot...

10.1029/2008gl036540 article EN Geophysical Research Letters 2009-02-01

10.1016/j.ecolecon.2006.02.022 article EN Ecological Economics 2006-03-08
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