Carbon emissions of cities from a consumption-based perspective

By Zhifu Mi, Jiali Zheng, Jing Meng, Heran Zheng, Xian Li, D. Coffman, J. Woltjer, Shouyang Wang, D. Guan. Applied Energy, 2019

268 citations recorded by the source corpus.

Carbon emission inventories are the foundations of climate change mitigation and adaptation in cities. In this study, we estimated production-based CO2 emissions from fossil fuel combustion and industrial processes in eleven cities in Hebei Province of China in 2012 and used input-output theory to measure their consumption-based CO2 emissions. By comprehensively comparing production- and consumption-based emissions, we found that six developed cities were consumers with import-depended trade patterns, while the five other cities were producers, mostly medium in size, with the potential to transform into consumer cities with socioeconomic development. Emissions embodied in imports accounted for more than half of the consumption-based emissions in most cities, which shows the significance of interregional cooperation in tackling climate change. International cooperation is also important at the city level, as international imports also impact consumption-based emissions. From the perspective of final use, emissions caused by fixed capital formation predominated in most cities and were determined by their economic development models.

Subfields: Economics and Econometrics, Environmental Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/9ef5d0409273b56deaab89de8ca1fd68174cedab

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

In Economics and Econometrics

  1. Jing Meng
  2. D. Guan
  3. E. Dietzenbacher
  4. Daniel Moran
  5. Heran Zheng
  6. Johannes Többen
  7. M. Tufail
  8. Zeeshan Khan

In Environmental Engineering

  1. Jing Meng
  2. D. Guan
  3. E. Dietzenbacher
  4. Daniel Moran
  5. Heran Zheng
  6. Johannes Többen
  7. M. Tufail
  8. Zeeshan Khan

In Transportation

  1. Jing Meng
  2. D. Guan

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