Global land-water nexus: Agricultural land and freshwater use embodied in worldwide supply chains

Chen, B.; Han, Mengyao; Peng, Kewu; Zhou, Sili; Shao, Lei; Wu, Xiaofang; Wei, Wendong; Liu, S.Y.; Li, Z.; Li, J.S.; Chen, G.Q.

doi:10.1016/j.scitotenv.2017.09.138

Cited by 143 publications

(110 citation statements)

References 92 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among these databases, the EORA MRIO table covers the most regions and the longest time spans (Lenzen, Kanemoto, et al, , Lenzen, Moran, Kanemoto, et al, ). A large number of studies have been conducted on embodied resources and emissions in international trade based on the global MRIO table from the EORA database (e.g., B. Chen, Han, et al, ; B. Chen, Li, et al, ; Li et al, ; Malik et al, ; Oita et al, ; Xia et al, ; X. F. Wu & Chen, ). In this study, the EORA database is also adopted to build the global MRIO tables for 2000–2012, which cover 189 countries/regions.…”

Section: Methodology and Datamentioning

confidence: 99%

“…While a multiregional input‐output (MRIO) model that interconnects multiple regions reflects the interregional and intraregional economic connection (B. Zhang, Li, et al, , ), the global MRIO modeling can provide a robust assessment on the demand‐driven resource use and environmental emissions in the production and trade network of the world economy. Extensive studies have been conducted on the global MRIO analyses of resource and emission requirements associated with production, consumption, and international trade, such as water (Ali, ; Z. M. Chen & Chen, ; Feng et al, ; Han et al, ; Lenzen, Moran, Bhaduri, et al, ), energy (G. Q. Chen & Wu, ; B. Chen, Li, et al, ), materials (X. Tian et al, ; Wiedmann et al, ), land (G. Q. Chen & Han, ; B. Chen, Han, et al, ; X. D. Wu et al, ), biodiversity (Lenzen, Moran, et al, ), CO 2 (Andreoni & Galmarini, ; Davis & Caldeira, ; Fan et al, ; Jiang & Green, ; Liddle, ; Malik et al, ; Pablo‐Romero & Sánchez‐Braza, ; J. Tian et al, ), air pollutants (Kanemoto et al, ; Lin et al, , ; Meng et al, ; Q. Zhang et al, ), and so forth. At present, MRIO account and analysis has become a popular approach to measure and assess consumption‐based global GHG emissions (e.g., Arto & Dietzenbacher, ; Caro et al, ; Peters, ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Consumption‐Based Accounting of Global Anthropogenic CH₄ Emissions

Zhang

Zhao

et al. 2018

Earth's Future

View full text Add to dashboard Cite

Global anthropogenic CH4 emissions have witnessed a rapid increase in the last decade. However, how this increase is connected with its socioeconomic drivers has not yet been explored. In this paper, we highlight the impacts of final demand and international trade on global anthropogenic CH4 emissions based on the consumption‐based accounting principle. We find that household consumption was the largest final demand category, followed by fixed capital formation and government consumption. The position and function of nations and major economies to act on the structure and spatial patterns of global CH4 emissions were systematically clarified. Substantial geographic shifts of CH4 emissions during 2000–2012 revealed the prominent impact of international trade. In 2012, about half of global CH4 emissions were embodied in international trade, of which 77.8% were from intermediate trade and 22.2% from final trade. Mainland China was the largest exporter of embodied CH4 emissions, while the United States was the largest importer. Developed economies such as Western Europe, the United States, and Japan were major net receivers of embodied emission transfer, mainly from developing countries. CH4 emission footprints of nations were closely related to their human development indexes and per capita gross domestic products. Our findings could help to improve current understanding of global anthropogenic CH4 emission increases and to pinpoint regional and sectoral hotspots for possible emission mitigation in the entire supply chains from production to consumption.

show abstract

Section: Methodology and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Consumption‐Based Accounting of Global Anthropogenic CH₄ Emissions

Zhang

Zhao

et al. 2018

Earth's Future

View full text Add to dashboard Cite

show abstract

“…Despite the growing relevance and value of a changing irrigation landscape on both small-and large-scale economies [14][15][16][17][18], comprehensive irrigated yield and area data are critically lacking within major aquifer regions, and are nonexistent across much of the CONUS. Researchers have estimated irrigation and subsequent crop production using a wide variety of methods, including image analysis [19], crop models [20], and statistical models [21], but these efforts are limited in spatial and temporal scope when compared to commonly-used agricultural datasets available at the national level.…”

Section: Introductionmentioning

confidence: 99%

Increased Dependence on Irrigated Crop Production Across the CONUS (1945–2015)

Smidt

Kendall

Hyndman

2019

Water

View full text Add to dashboard Cite

Efficient irrigation technologies, which seem to promise reduced production costs and water consumption in heavily irrigated areas, may instead be driving increased irrigation use in areas that were not traditionally irrigated. As a result, the total dependence on supplemental irrigation for crop production and revenue is steadily increasing across the contiguous United States. Quantifying this dependence has been hampered by a lack of comprehensive irrigated and dryland yield and harvested area data outside of major irrigated regions, despite the importance and long history of irrigation applications in agriculture. This study used a linear regression model to disaggregate lumped agricultural statistics and estimate average irrigated and dryland yields at the state level for five major row crops: corn, cotton, hay, soybeans, and wheat. For 1945-2015, we quantified crop production, irrigation enhancement revenue, and irrigated and dryland areas in both intensively irrigated and marginally-dependent states, where both irrigated and dryland farming practices are implemented. In 2015, we found that irrigating just the five commodity crops enhanced revenue by~$7 billion across all states with irrigation. In states with both irrigated and dryland practices, 23% of total produced area relied on irrigation, resulting in 7% more production than from dryland practices. There was a clear response to increasing biofuel demand, with the addition of more than 3.6 million ha of irrigated corn and soybeans in the last decade in marginally-dependent states. Since 1945, we estimate that yield enhancement due to irrigation has resulted in over $465 billion in increased revenue across the contiguous United States (CONUS). Example applications of this dataset include estimating historical water use, evaluating the effects of environmental policies, developing new resource management strategies, economic risk analyses, and developing tools for farmer decision making.

show abstract

“…However, the current insufficient disaggregation method also leads to a certain degree of uncertainties (see details in Text S2). Moreover, the inherited uncertainties from IO table compilation will also lead to uncertainties, which has been comprehensively illustrated by previous studies (Chen, Han, et al, ; Lenzen et al, ; Rodrigues et al, ). In addition, as there is no unique solution for the SDA, polar decomposition is adopted as an approximation of the average of all 7!…”

Section: Methodsmentioning

confidence: 74%

How Green Transition of Energy System Impacts China's Mercury Emissions

Wei

Zhen

et al. 2019

Earth's Future

View full text Add to dashboard Cite

China has long been committing to green transition of energy system to alleviate the heavy pollution; however, a quantitative analysis for its impact on air pollution has been lacking. To fill the knowledge gap, this study makes an initial attempt to reveal how green transition of energy system influences China's energy-related mercury emissions from both individual sector and supply chain perspectives, by using input-output (IO)-structural decomposition analysis and structural path analysis. Moreover, the aggregated power sector in the original IO tables are further disaggregated into seven types of power sectors to avoid the inherent huge uncertainty related to the aggregation. The results show that green transition in terms of emission factor control and energy mix adjustment has substantially benefited mercury reduction, while energy efficiency improvement has a much weaker effect. The largest consumption-based mercury reduction brought about by energy green transition happens in sector Construction, with an amount of 49.6 t. This study also finds that the green transition generally makes the production layers less mercury intensive, and the energy-related mercury emissions are more concentrated in the production layers. Policy suggestions for further enhancing energy green transition's mitigation effects for mercury emissions are comprehensively discussed. Plain Language SummaryChina is undergoing an unprecedented green transition towards a more renewable, more efficient, and less polluted energy system. An important question arises on how to quantify the impact of green transition on mercury emissions, a toxic global pollutant to both human health and ecosystem. To this end, an environment-economy integrated model is developed to link the mercury emissions with the production chain network in China. We find that green transition in terms of "less polluted" and "more renewable" has substantially benefited mercury reduction, while the effect of "more efficient" is much weaker. The green transition brings the largest mercury emission reduction along the upstream supply chains in sector Construction. This study also finds that the green transition generally makes the production layers less mercury intensive. By understanding the green transition's mitigation effects for mercury emissions, more targeted policies could be adopted for China to fulfill the commitment under Minamata Convention. Key Points:• We investigate how green transition of energy system impacts China's mercury emissions by using structural decomposition/path analysis • Green transition as emission factors and energy mix change have substantial benefits, while energy efficiency change has a weaker effect • Green transition makes production layers less mercury intensive, and mercury emissions are more concentrated in the production layers Supporting Information:• Supporting Information S1

show abstract

Global land-water nexus: Agricultural land and freshwater use embodied in worldwide supply chains

Cited by 143 publications

References 92 publications

Consumption‐Based Accounting of Global Anthropogenic CH₄ Emissions

Consumption‐Based Accounting of Global Anthropogenic CH₄ Emissions

Increased Dependence on Irrigated Crop Production Across the CONUS (1945–2015)

How Green Transition of Energy System Impacts China's Mercury Emissions

Contact Info

Product

Resources

About

Global land-water nexus: Agricultural land and freshwater use embodied in worldwide supply chains

Cited by 143 publications

References 92 publications

Consumption‐Based Accounting of Global Anthropogenic CH4 Emissions

Consumption‐Based Accounting of Global Anthropogenic CH4 Emissions

Increased Dependence on Irrigated Crop Production Across the CONUS (1945–2015)

How Green Transition of Energy System Impacts China's Mercury Emissions

Contact Info

Product

Resources

About

Consumption‐Based Accounting of Global Anthropogenic CH₄ Emissions

Consumption‐Based Accounting of Global Anthropogenic CH₄ Emissions