@article {1286999,
	title = {Linking agricultural GHG emissions to the global trade network},
	journal = {Earth{\textquoteright}s Future},
	volume = {8},
	year = {2020},
	pages = {e2019EF001361},
	abstract = {As part of the climate policy to meet the 2-degrees Celsius (2 {\textdegree}C) target, actions in all economic sectors, including agriculture, are required to mitigate global greenhouse gas (GHG) emissions. While there has been an ever-increasing focus on agricultural greenhouse gas (AGHG) emissions, limited attention has been paid to their economic drivers in the globalized world economy and related mitigation potentials. This paper makes a first attempt to trace AGHG emissions via global trade networks using a multi-regional input-output model and a complex network model. Over one third of global AGHG emissions in 2012 can be linked with products traded internationally, of which intermediate trade and final trade contribute 64.2\% and 35.8\%, respectively. Japan, the USA, Germany, the UK, and Hong Kong are the world{\textquoteright}s five largest net importers of embodied emissions, while Ethiopia, Australia, Pakistan, India and Argentina are the five largest net exporters. Some hunger-afflicted developing countries in Asia and Africa are important embodied emission exporters, due to their large-scale exports of agricultural products. Trade-related virtual AGHG emission transfers shape a highly heterogenous network, due to the coexistence of numerous peripheral economies and a few highly-connected hub economies. The network clustering structure is revealed by the regional integration of several trading communities, while hub economies are collectors and distributors in the global trade network, with important implications for emission mitigation. Achieving AGHG emission reduction calls for a combination of supply- and demand-side policies covering the global trade network.},
	url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019EF001361},
	author = {Xueli Zhao and Xiaofang Wu and Chenghe Guan and Rong Ma and Nielsen, Chris P. and Bo Zhang}
}
