Final production-based emissions of regions in China

Liang, Sai; Wang, Yafei; Zhang, Chao; Xu, Min; Yang, Zhifeng; Liu, Weidong; Liu, Hongguang; Chiu, Anthony S.F.

doi:10.1080/09535314.2017.1312291

Cited by 28 publications

(18 citation statements)

References 59 publications

(75 reference statements)

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“…Previously, final demand was identified as the ultimate driver of the supply chain using consumption-based accounting (Meng et al 2015, Zhao et al 2015, Huo et al 2014. However, this accounting approach cannot fully illustrate the driving forces of the MN&C downstream industries (Liang et al 2017b, Liang et al 2017a. The production of MN&C is also driven by the total outputs of downstream industries (Clements and Rossi 1991).…”

Section: Introductionmentioning

confidence: 99%

The roles of the metallurgy, nonmetal products and chemical industry sectors in air pollutant emissions in China

Yang

Liu

Wang

et al. 2018

Environ. Res. Lett.

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The metallurgy, nonmetal products and chemical industry sectors (MN&C) are the three major industrial sources of air pollutants in China. Previous studies have focused on calculating emissions from MN&C via production-based accounting and identifying the drivers of MN&C using consumption-based accounting. However, these previous studies did not discuss how the total outputs from MN&C upstream and downstream industries influence air pollutant emissions. In this study, we use a pure backward linkage (PBL) method to quantify emissions from industries upstream of MN&C and to evaluate how the downstream industries drive the outputs of MN&C in China. We find that the emissions from industries upstream of MN&C are generally higher than the production-based emissions of MN&C. In particular, the chemical industry largely increased its contribution to air pollution according to the PBL method. Furthermore, much of upstream emissions of MN&C are embodied in the interregional trade, transferring substantial emissions from the eastern region to inland provinces. Regarding the drivers of MN&C, our results reveal that consumption-based accounting underestimates the importance of many sectors. The outputs of these previously underestimated sectors could maximally cover 80% of metallurgy, 85% of nonmetal products and 25% of chemical industry outputs. We suggest that improving the structure of MN&C would considerably help decrease the environmental burden on the entire supply chain. Additionally, improving the productivities of MN&C downstream industries could also address the air pollution caused by MN&C.

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Section: Introductionmentioning

confidence: 99%

The roles of the metallurgy, nonmetal products and chemical industry sectors in air pollutant emissions in China

Yang

Liu

Wang

et al. 2018

Environ. Res. Lett.

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“…Equations (10)- (12) are used to calculate the proportions of a sector's intermediate production and consumption attributions at PL 1 , PL 2 , and PL 3 and final (PL 0 ) production and consumption attributions in its total consumption attribution. The normalized results are presented in Figure 3.…”

Section: Normalized Evolution Of Consumption and Production Attributionsmentioning

confidence: 99%

“…Environmentally extended input-output (EEIO) analysis has been applied to describe and investigate the economic and environmental linkages among industrial sectors [7][8][9][10][11][12], since Leontief's pioneering research work [13]. As final demand instigates emissions in the production process [9], consumption-based accounting of pollutants and carbon dioxide (CO 2 ) emissions was therefore performed to uncover the final attributions of the embodied emissions (including direct and indirect emissions) using the EEIO models [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…A sector's proportions of intermediate production and consumption attributions at PL 3 , PL 2 , and PL 1 in sector total consumption attribution are indicated by the star markers. denote the percentage of a sector's final and intermediate production attributions and final and intermediate consumption attributions in its total consumption attribution, respectively Equation(12). Solid lines connecting the data points are shown to aid the visual inspection of discrete measurements and do not represent a continuous series.…”

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confidence: 99%

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Depicting Flows of Embodied Water Pollutant Discharge within Production System: Case of an Undeveloped Region

Yang

Song

2019

Sustainability

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Water pollution is still an obstacle on the way towards sustainable development, especially for some undeveloped regions in China. To formulate policies for water pollution control from multiple perspectives, it is significant to holistically investigate how final demand purchases trigger water pollutant discharge in the production process. With Jilin Province as an empirical study area, the final production and consumption attributions of chemical oxygen demand (COD) discharge within the input–output framework are measured. By employing structural pass analysis and mapping approaches, the supply chain linkages between the two attributions of COD discharge are illustrated. The embodied flows of COD discharge across sectors through the supply chains are exhaustively revealed. The results show that the exports drive 70.23% of the total COD discharge. Animal production (S2) is the dominant contributor to COD discharge from both production and consumption perspectives. Final demand on the products of Foods & tobacco products (S8), Sawmills & furniture, and Construction largely induces COD discharge at higher production layers. In contrast, final demand on S2’s products mainly drives direct COD discharge (96.04%). S2 and S8 are the two key sectors in the supply chains, which provide other sectors with pollution-intensive products as intermediate inputs. The findings indicate that the export of S2’s products should be largely cut down, along with adjustment of the export structure. Innovations of production technologies and improvement of end-of-pipe abatement abilities for S2 and S8 should be facilitated. Besides, cutting capacity or reducing investment on these two sectors should be propelled.

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“…Multi-regional input-output (MRIO) modeling is the most popular tool to identify inter-dependencies among different regions (Wiedmann, 2009). Existing studies have employed the MRIO models to analyze embodied energy, virtual water, virtual land and embodied emissions (e.g., mercury, PM 2.5 , COD, CO 2 , SO 2 and CH 4 ) in China, particularly focusing on the impacts and effects of interprovincial trade (e.g., Liang et al, 2007;Zhou and Imrua, 2011;Feng et al, 2012Feng et al, , 2013Meng et al, 2013;Liang et al, 2014;Su and Ang, 2014;Zhang and Anadon, 2014;Zhang and Lahr, 2014;Zhang et al, 2014a,b;Zhang et al, 2013Zhang et al, , 2015aLiang et al, 2017;Shao et al, 2018;Wang et al, , 2018Yang et al, 2018;Zhang et al, 2018c). Given the diversity of natural resources, an overall account of all types of resource embodied in goods exchange between regions is required.…”

Section: Introductionmentioning

confidence: 99%

Outsourcing natural resource requirements within China

Zhang

Shao

Sun

et al. 2018

Journal of Environmental Management

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Consumption demands are final drivers for the extraction and allocation of natural resources. This paper investigates demand-driven natural resource requirements and spatial outsourcing within China in 2012 by using the latest multi-regional input-output model. Exergy is adopted as a common metric for natural resources input. The total domestic resource exergy requirements amounted to 125.5 EJ, of which the eastern area contributed the largest share of 44.5%, followed by the western area (23.9%), the central area (23.0%) and the northeastern area (8.6%). Investment was the leading final demand category, accounting for 52.9% (66.4 EJ) of national total embodied resource use (ERU). The total trade volumes of embodied resource were equivalent to 69.6% of the total direct resource input (DRI), mostly transferred from the central and western regions such as Inner Mongolia, Shanxi, Shaanxi and Xinjiang to the eastern regions such as Jiangsu, Zhejiang, Guangdong and Shanghai. The northeastern and eastern areas had physical net imports of 1213.5 PJ and 38452.6 PJ, while the central and western inland areas had physical net exports of 6364.5 PJ and 33301.5 PJ, respectively. Shanghai, Beijing, Zhejiang, Jiangsu and Guangdong had prominent ERUs which respectively were 101.6, 12.6, 11.7, 8.4 and 4.3 times of their DRIs. The ERUs of Inner Mongolia, Shaanxi, Shanxi, Ningxia and Guizhou were equal to only 17.6%, 25.3%, 27.9%, 46.0% and 50.2% of their DRIs, respectively. Regional uneven development resulted in imbalanced resource requirements across China. The findings can provide a deep understanding of China's resource-driven economic development mode, and contribute to reducing regional resource footprints and their environment outcomes under the "new normal economy".

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Final production-based emissions of regions in China

Cited by 28 publications

References 59 publications

The roles of the metallurgy, nonmetal products and chemical industry sectors in air pollutant emissions in China

The roles of the metallurgy, nonmetal products and chemical industry sectors in air pollutant emissions in China

Depicting Flows of Embodied Water Pollutant Discharge within Production System: Case of an Undeveloped Region

Outsourcing natural resource requirements within China

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