Alternative industrial carbon emissions benchmark based on input-output analysis

Abstract

Some problems exist in the current carbon emissions benchmark setting systems. The primary consideration for industrial carbon emissions standards highly relate to direct carbon emissions (power-related emissions) and only a portion of indirect emissions are considered in the current carbon emissions accounting processes. This practice is insufficient and may cause double counting to some extent due to mixed emission sources. To better integrate and quantify direct and indirect carbon emissions, an embodied industrial carbon emissions benchmark setting method is proposed to guide the establishment of carbon emissions benchmarks based on input-output analysis. This method attempts to link direct carbon emissions with inter-industrial economic exchanges and systematically quantifies carbon emissions embodied in total product delivery chains. The purpose of this study is to design a practical new set of embodied intensity-based benchmarks for both direct and indirect carbon emissions. Beijing, at the first level of carbon emissions trading pilot schemes in China, plays a significant role in the establishment of these schemes and is chosen as an example in this study. The newly proposed method tends to relate emissions directly to each responsibility in a practical way through the measurement of complex production and supply chains and reduce carbon emissions from their original sources. This method is expected to be developed under uncertain internal and external contexts and is further expected to be generalized to guide the establishment of industrial benchmarks for carbon emissions trading schemes in China and other countries.

Graphical abstract

Keywords

emissions trading scheme / benchmarking / carbon emissions / input-output analysis

References

[1] Anandarajah G, Gambhir A (2014). India’s CO₂ emission pathways to 2050: what role can renewables play? Appl Energy, 131: 79–86

[2] Beijing Environment Exchange in China (2008). (in Chinese)

[3] BSY (2000). Beijing Statistical Yearbook 1999. Beijing: China Statistics Press (in Chinese)

[4] BSY (2014). Beijing Statistical Yearbook 2013. Beijing: China Statistics Press (in Chinese)

[5] Chen B, Yang Z F (2013). Modelling for multi-scale ecosystems in the context of global climate change. Ecol Modell, 252: 1–2

[6] Chen G Q, Chen Z M (2010). Carbon emissions and resources use by Chinese economy 2007: a 135-sector inventory and input-output embodiment. Commun Nonlinear Sci Numer Simul, 15(11): 3647–3732

[7] Chen G Q, Guo S, Shao L, Li J S, Chen Z M (2013). Three-scale input-output modeling for urban economy: carbon emission by Beijing 2007. Commun Nonlinear Sci Numer Simul, 18(9): 2493–2506

[8] Chen G Q, Han M Y (2015a). Global supply chain of arable land use: production-based and consumption-based trade imbalance. Land Use Policy, 49: 118–130

[9] Chen G Q, Han M Y (2015b). Virtual land use change in China 2002‒2010: internal transition and trade imbalance. Land Use Policy, 47: 55–65

[10] Chen G Q, Yang Q, Zhao Y H, Wang Z F (2011). Nonrenewable energy cost and greenhouse gas emissions of a 1.5 MW solar power tower plant in China. Renew Sustain Energy Rev, 15(4): 1961–1967

[11] Chen S Q, Chen B (2012). Network environ perspective for urban metabolism and carbon emissions: a case study of Vienna, Austria. Environ Sci Technol, 46(8): 4498–4506

[12] Chen S Q, Chen B (2015). Urban energy consumption: different insights from energy flow analysis, input-output analysis and ecological network analysis. Appl Energy, 138: 99–107

[13] Chen S Q, Chen B, Fath B D (2014). Urban ecosystem modeling and global change: potential for rational urban management and emissions mitigation. Environ Pollut, 190: 139–149

[14] China Carbon Emissions Trading Network (2015).

[15] Costanza R (1980). Embodied energy and economic valuation. Science, 210(4475): 1219–1224

[16] CSY (2014). China Statistical Yearbook 2013. Beijing: China Statistics Press (in Chinese)

[17] Cui L B, Fan Y, Zhu L, Bi Q H (2014). How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target? Appl Energy, 136: 1043–1052

[18] Davis S J, Caldeira K (2010). Consumption-based accounting of CO₂ emissions. Proc Natl Acad Sci USA, 107(12): 5687–5692

[19] Feijoo F, Das T K (2014). Design of Pareto optimal CO₂ cap-and-trade policies for deregulated electricity networks. Appl Energy, 119(15): 371–383

[20] Feng Y Y, Chen S Q, Zhang L X (2013). System dynamics modeling for urban energy consumption and CO₂ emissions: a case study of Beijing, China. Ecol Modell, 252: 44–52

[21] Chandran Govindaraju V G R, Tang C F(2013). The dynamic links between CO₂ emissions, economic growth and coal consumption in China and India. Appl Energy, 104: 310–318

[22] Guan D, Hubacek K, Weber C L, Peters G P, Reiner D M (2008). The drivers of Chinese CO₂ emissions from 1980 to 2030. Glob Environ Change, 18(4): 626–634

[23] Guangzhou Municipal Development Reform Commission (2013). Announcement on issuing carbon emission quota allocation and work programme for the first time (for Trial Implementation). Guangzhou Municipal Development Reform Commission (in Chinese)

[24] Han M Y, Chen G Q, Shao L, Li J S, Alsaedi A, Ahmad B, Guo S, Jiang M M, Ji X (2013). Embodied energy consumption of building construction engineering: case study in E-town, Beijing. Energy Build, 64: 62–72

[25] Han M Y, Guo S, Chen H, Ji X, Li J S (2014a). Local-scale systems input-output analysis of embodied water for the Beijing economy in 2007. Front Earth Sci, 8(3): 414–426

[26] Han M Y, Shao L, Li J S, Guo S, Meng J, Ahmad B, Hayat T, Alsaadi F, Ji X, Alsaedi A, Chen G Q (2014b). Emergy-based hybrid evaluation for commercial construction engineering: a case study in BDA. Ecol Indic, 47: 179–188

[27] Han M Y, Sui X, Huang Z L, Wu X D, Xia X H, Hayat T, Alsaedi A (2014c). Bibliometric indicators for sustainable hydropower development. Ecol Indic, 47: 231–238

[28] Hannon B, Blazeck T, Kennedy D, Illyes R (1983). A comparison of energy intensities: 1963, 1967 and 1972. Resour Energy, 5(1): 83–102

[29] Huang A Y, Lenzen M, Weber C, Murray J, Matthews H S (2009). The role of input-output analysis for the screening of corporate carbon footprints. Econ Syst Res, 21(3): 217–242

[30] ICAP (2007). International Carbon Action Partnership.

[31] IPCC (2006). IPCC guidelines for national greenhouse gas inventories.

[32] Ji X, Chen B (2016). Assessing the energy-saving effect of urbanization in China based on stochastic impacts by regression on population, affluence and technology (STIRPAT) model. J Clean Prod, doi: 10.1016/j.jclepro.2015.12.002

[33] Ji X, Chen Z M, Li J K (2014). Embodied energy consumption and carbon emissions evaluation for urban industrial structure optimization. Front Earth Sci, 8(1): 32–43

[34] Ji X, Long X L(2016). A review of the ecological and socioeconomic effects of biofuel and energy policy recommendations. Renew Sustain Energy Rev, 61: 41–52

[35] Lenzen M (2000). Errors in conventional and input-output-based life-cycle inventories. J Ind Ecol, 4(4): 127–148

[36] Lenzen M (2008). Double-counting in life-cycle calculations. J Ind Ecol, 12(4): 583–599

[37] Lenzen M, Lundie S, Bransgrove G, Charet L, Sack F (2003a). Assessing the ecological footprint of a large metropolitan water supplier: lessons for water management and planning towards sustainability. J Environ Plann Manage, 46(1): 113–141

[38] Lenzen M, Murray S A, Korte B, Dey C J (2003b). Environmental impact assessment including indirect effects—A case study using input-output analysis. Environ Impact Assess Rev, 23(3): 263–282

[39] Leontief W (1986). Input-Output Economics. Oxford University Press

[40] Lin B, Sun C (2010). Evaluating carbon dioxide emissions in international trade of China. Energy Policy, 38(1): 613–621

[41] Massetti E, Tavoni M (2010). A developing Asia emission trading scheme (Asia ETS). Energy Econ, 34(3): S436–S443

[42] National Development and Reform Commission of People’s Republic of China (2011). Twelfth Five-Year Plan (in Chinese)

[43] Odum H T (1983). Systems Ecology: An Introduction. New York: John Wiley and Sons, Inc.

[44] Perdan S, Azapagic A (2011). Carbon trading: current schemes and future developments. Energy Policy, 39(10): 6040–6054

[45] Peters G P, Hertwich E G (2008). CO₂ embodied in international trade with implications for global climate policy. Environ Sci Technol, 42(5): 1401–1407

[46] Shao L, Chen G Q, Chen Z M, Guo S, Han M Y, Zhang B, Hayat T, Alsaedi A, Ahmad B (2014). Systems accounting for energy consumption and carbon emission by building. Commun Nonlinear Sci Numer Simul, 19(6): 1859–1873

[47] Shenzhen Municipal People’s Congress Standing Committee (2012). Some regulations on of carbon emissions management in Shenzhen Special Economic Zone (in Chinese)

[48] UNFCC (2015). UNITED draft decision- /CP. 15. 2 English

[49] Weber C L, Peters G P, Guan D, Hubacek K (2008). The contribution of Chinese exports to climate change. Energy Policy, 36(9): 3572– 3577

[50] Wiedmann T, Lenzen M, Barrett J (2009). Companies on the scale: comparing and benchmarking the sustainability performance of businesses. J Ind Ecol, 13(3): 361–383

[51] Zhang B, Chen G Q (2010). Methane emissions by Chinese economy: inventory and embodiment analysis. Energy Policy, 38(8): 4304–4316

[52] Zhang B, Chen G Q, Li J S, Tao L (2014a). Methane emissions of energy activities in China 1980‒2007. Renew Sustain Energy Rev, 29: 11–21

[53] Zhang B, Chen Z M, Xia X H, Xu X Y, Chen Y B (2013a). The impact of domestic trade on China’s regional energy uses: a multi-regional input-output modeling. Energy Policy, 63: 1169–1181

[54] Zhang B, Chen Z M, Zeng L, Qiao H, Chen B (2016). Demand-driven water withdrawals by Chinese industry: a multi-regional input-output analysis. Front Earth Sci, 10(1): 13–28

[55] Zhang D, Karplus V, Cassisa C, Zhang X L (2014b). Emission trading in China: progress and prospects. Energy Policy, 75: 9–16

[56] Zhang D, Rausch S, Karplus V, Zhang X L (2013b). Quantifying regional economic impacts of CO₂ intensity targets in China. Energy Econ, 40: 687–701

[57] Zhou P, Zhang L, Zhou D Q, Xia W J (2013). Modeling economic performance of interprovincial CO₂ emission reduction quota trading in China. Appl Energy, 112: 1518–1528

Acknowledgement

This work is supported by the National Basic Research Program of China (Grant No. 2013BAJ13B03).

RIGHTS & PERMISSIONS

2016 Higher Education Press and Springer-Verlag Berlin Heidelberg