China’s inter-regional spillover of carbon emissions and domestic supply chains

By Bo Meng, Jinjun Xue, Kuishuang Feng, D. Guan, Xue Fu. 2013

175 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/a7aee0d0182f0b93578ae43cc81e2cfffefde65d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Manfred Lenzen
2. G. P. Peters
3. Richard Wood
4. Edgar G. Hertwich
5. E. Dietzenbacher
6. T. Wiedmann
7. Robbie M. Andrew
8. D. Guan

In Environmental Engineering

1. Manfred Lenzen
2. G. P. Peters
3. Richard Wood
4. T. Wiedmann
5. Edgar G. Hertwich
6. D. Guan
7. Robbie M. Andrew
8. E. Dietzenbacher

In Renewable Energy, Sustainability and the Environment

1. Edgar G. Hertwich
2. G. P. Peters
3. Manfred Lenzen
4. Richard Wood
5. D. Guan
6. Robbie M. Andrew
7. T. Wiedmann
8. E. Dietzenbacher

Citations in the corpus

• Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010 (2017, methodology): “…required to achieve a balanced environmental governance system for dealingwith “carbon leakage” through domestic inter-regional trade (Su and Ang, 2014a) and for obtaining relevant consensus about sharing the mitigation burden between developed and developing regions of China (Meng et al., 2013a).”
• INPUT–OUTPUT ANALYSIS: THE NEXT 25 YEARS (2013, methodology): “…the gravity model or using location quotients to construct subnational MRIO models for countries like the USA (see Rickman and Schwer, 1995), UK (e.g. Barker and Peterson, 1987; Barker et al., 2007; Yu et al., 2010), and China (e.g. Liang et al., 2007; Feng et al., 2012, 2013; Meng et al., 2013).”
• A study on embodied carbon transfer at the provincial level of China from a social network perspective (2019, background): “28 In addition, our results are different from previous studies that adopt a regional classification method (Meng et al., 2013; Su and Ang, 2014; Zhou et al., 2018).”
• Mapping the carbon footprint of EU regions (2017, background): “The research community has pointed out to the importance of regional and local policy for environmental impactmitigation (Meng et al 2013, Harris et al 2012,Wood andGarnett 2010, 2009).”