GHG Emissions from Food Consumption in China:Regional Differences and Scenario Analysis
Food systems are already responsible for more than a third of the world's man-made greenhouse gas(GHG)emissions.In this study,the mixed LCA-IO method is adopted to measure GHG emissions in the four stages of production,processing,transportation and sales from farm to table in China.Geographically weighted regression(GWR)model is used to analyze the driving force of food GHG emissions.The results show:(1)GHG emissions from food production and processing account for more than 90%of the total GHG emissions.(2)Per capita consumption,consumption structure,population size and economic development become the main driving factors affecting GHG emissions.(3)Through scenario analysis,the results show that replacing meat with soybeans and eggs can effectively reduce GHG emissions and help achieve the goal of 1.5℃.In addition,the replacement of aquatic products and single stomach meat can also play a role in GHG emission reduction to a certain extent.Finally,we put forward corresponding emission reduction proposals from the perspectives of producers and consumers.
NETL
NSTL
万方数据
