Socioeconomic Drivers of Greenhouse Gas Emissions in the United States

Liang, Sai; Wang, Hongxia; Qu, Shen; Feng, Tiantian; Guan, Dabo; Fang, Hongyuan; Xu, Min

doi:10.1021/acs.est.6b00872

Cited by 103 publications

(41 citation statements)

References 63 publications

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“…Consumption-based emissions of a region are equal to the sum of its production-based emissions and emissions embodied in its imports but minus emissions embodied in its exports. Final consumers can reduce their consumption-based emissions by demand-side measures such as changing consumption patterns (Liang et al, 2014b(Liang et al, , 2015b(Liang et al, , 2016b(Liang et al, , 2016d.…”

Section: Consumption-based Accounting Frameworkmentioning

confidence: 99%

“…Production-and consumption-based environmental footprint accounting frameworks have been widely used to support environmental policy-making at various scales, such as global (Davis and Caldeira, 2010;Hertwich and Peters, 2009;Hui et al, 2017;Lenzen et al, 2012Lenzen et al, , 2013Liang et al, 2015bLiang et al, , 2016bMalik and Lan, 2016;Peters et al, 2011;Wiedmann et al, 2015), national (Cazcarro et al, 2013;Chang and Lahr, 2016;Liang et al, 2014aLiang et al, , 2014bLiang et al, , 2016aLiang et al, , 2016bLiang et al, , 2016dZhang et al, 2016), and regional (Malik et al, 2015 environmental analyses. These two perspectives serve for different policy-making purposes.…”

Section: Introductionmentioning

confidence: 99%

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Final production-based emissions of regions in China

Liang

Wang

Zhang

et al. 2017

Economic Systems Research

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Existing studies focus on either direct emissions of each province in China using production-based accounting (i.e. direct emitters) or emissions caused by the final consumption of each province using consumption-based accounting (i.e. final consumers), but overlook provinces whose final sales drive large amounts of upstream emissions (i.e. final producers). Improving the production efficiency of the latter can help to reduce national emissions. Here we use a final production-based accounting framework to identify critical final producers. Results show that the major final producers leading to China's emissions are Hebei, Shandong, Jiangsu, Zhejiang, and Guangdong, which are the major manufacturing centers in China. China should encourage the production efficiency improvement of dominant firms in industries of these provinces. The final productionbased accounting framework can also help to define and allocate emission responsibilities of Chinese provinces. It can complement production-based and consumption-based accounting frameworks to guide environmental policy-making in China. ARTICLE HISTORY

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Section: Consumption-based Accounting Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Final production-based emissions of regions in China

Liang

Wang

Zhang

et al. 2017

Economic Systems Research

Self Cite

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“…irrigation systems, food distribution infrastructure, etc) (Deryugina and Konar 2017, Marston et al 2018, Rushforth and Ruddell 2018. Supply chains in the US are also responsible for a large national carbon (Weber and Matthews 2008, Cuéllar and Webber 2010, Liang et al 2016, water (Dang et al 2015, Vora et al 2017, Wang et al 2017, and chemical pollution foot-print (Nesheim et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Food flows between counties in the United States

Lin

Ruess

Marston

et al. 2019

Environ. Res. Lett.

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Food consumption and production are separated in space through flows of food along complex supply chains. These food supply chains are critical to our food security, making it important to evaluate them. However, detailed spatial information on food flows within countries is rare. The goal of this paper is to estimate food flows between all county pairs within the United States. To do this, we develop the Food Flow Model, a data-driven methodology to estimate spatially explicit food flows. The Food Flow Model integrates machine learning, network properties, production and consumption statistics, mass balance constraints, and linear programming. Specifically, we downscale empirical information on food flows between 132 Freight Analysis Framework locations (17 292 potential links) to the 3142 counties and county-equivalents of the United States (9869 022 potential links). Subnational food flow estimates can be used in future work to improve our understanding of vulnerabilities within a national food supply chain, determine critical infrastructures, and enable spatially detailed footprint assessments.

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“…This article summarizes the previous literatures researching on CO 2 emissions modeling in a more meta‐analytic form. In the field of CO 2 emissions modeling, the current literatures can be classified into several groups according to their methodological perspectives, including the index decomposition analysis, the input–output analysis, structural decomposition analysis, and the panel data analysis . Previous studies mainly concentrated on country‐level time sequence data or cross‐sectional data in industrial level, while a tiny number of researches employed PDM .…”

Section: Introductionmentioning

confidence: 99%

“…1 Typically, urban planning and energy consumption management gradually play an increasingly significant role in This article summarizes the previous literatures researching on CO 2 emissions modeling in a more meta-analytic form. In the field of CO 2 emissions modeling, the current literatures can be classified into several groups according to their methodological perspectives, including the index decomposition analysis, 11 the input-output analysis, 12 structural decomposition analysis, 12,13 and the panel data analysis. 14…”

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confidence: 99%

A panel co‐integration analysis for economic development, energy consumption, urbanization, and carbon dioxide emissions in China's six provinces

Zhao

Guo

Zhao

2019

Env Prog and Sustain Energy

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Urban planning and energy consumption management gradually play an increasingly significant role in carbon dioxide (CO2) emissions reduction. However, the current studies related to the nexus among them are insufficient, which need to be explored. This article focuses on quantifying the nexus among CO2 emissions, economic development, energy consumption, and urbanization according to data collected from top six provinces (Shanxi, Shaanxi, Shandong, Hebei, Jiangsu, and Inner Mongolia) of CO2 emissions in China between 1997 and 2015 using multi‐variate panel data model (PDM). According to the coefficients in PDM, the energy consumption of Shanxi, Inner Mongolia, Hebei, and Shaanxi make the greatest contribution to CO2 emissions and the economic development of Jiangsu and Shandong are deemed as the greatest contributor to CO2 emissions. The Granger causality results illustrate a bi‐directional causality exists between economic progress and CO2 emissions and between energy consumption and CO2 emissions for six provinces. Finally, the pathways to handle with the contradictions between economic development and CO2 mitigation of top six provinces are proposed, namely decreasing fossil fuels based energy consumption, giving impetus to renewable energy development, exploring a new evaluation system to judge low carbon economy progress, and increasing investment on equipments to improve energy efficiency.

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Socioeconomic Drivers of Greenhouse Gas Emissions in the United States

Abstract: 20Existing studies examined the US's direct GHG emitters and final consumers driving

Cited by 103 publications

References 63 publications

Final production-based emissions of regions in China

Final production-based emissions of regions in China

Food flows between counties in the United States

A panel co‐integration analysis for economic development, energy consumption, urbanization, and carbon dioxide emissions in China's six provinces

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