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Does carbon farming provide a cost-effective option to mitigate GHG emissions? Evidence from China

  • Kai Tang
  • , Chuantian He
  • , Chunbo Ma*
  • , Dong Wang
  • *Corresponding author for this work
  • Guangdong University of Foreign Studies
  • University of Western Australia
  • Jinan University
  • Inner Mongolia Honghe Energy and Environment Consultancy

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, we apply a whole farm bioeconomic analysis to explore the changes in land use, farm practices and on-farm greenhouse gas (GHG) emission under varying levels of agricultural greenhouse gas abatement incentives in the form of a carbon tax for a semi-arid crop-livestock farming system in China's Loess Plateau. Our results show that the optimised agricultural enterprises move towards being cropping-dominated reducing on-farm emission since livestock perform is the major source of emission. Farmers employ less oats-based and rapeseed-based rotations but more dry pea-based rotations in the optimal enterprise mix. A substantial reduction in on-farm greenhouse gas emission can be achieved at low cost with a small increase in carbon incentives. Our estimates indicate that crop-livestock farmers in China's Loess Plateau may reduce their on-farm GHG emission between 16.6 and 33 per cent with marginal abatement costs <¥100/t CO2e and ¥150/t CO2e in 2015 Chinese Yuan. The analysis implies that reducing greenhouse gas emission in China's semi-arid crop-livestock agriculture is potentially a low-cost option.

Original languageEnglish
Pages (from-to)575-592
Number of pages18
JournalAustralian Journal of Agricultural and Resource Economics
Volume63
Issue number3
DOIs
StatePublished - Jul 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Loess Plateau
  • agricultural carbon taxation
  • carbon farming
  • semi-arid crop-livestock farming system
  • whole farm bioeconomic modelling

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