Effects of Policy Intervention on Food System Resilience to Emergency Risk Shock: Experience from China during COVID-19 Pandemic.

Achieving the goal of zero hunger within the goal of sustainable development requires improving the resilience of food systems to various types of risk shocks; food systems have shown significant vulnerability to COVID-19 outbreaks and transmission. By analyzing the impact of China's lockdown policy and food security emergency policy in 2020 on food prices during the COVID-19 pandemic, we can clarify the role of policy intervention in enhancing the resilience of the food system, which can provide guidance, using China's experience, for dealing with global food safety emergencies in the future. Firstly, we selected Beijing, Shanghai and Guangdong as food-consuming areas, and Shandong, Henan, and Hubei as food-producing areas.

Discussion of an environmental depletion assessment method-A case study in Xinjiang, China.

Environmental process assessment based on the environmental depletion index (EDI) is an important part of the long-term monitoring and early warning mechanism of China's resources and environmental carrying capacity. The EDI aims to realize the unified environmental impact assessment of economic and environmental systems through the ratio relationship between economic growth and pollutant emission growth. However, in terms of pollutant emissions, the EDI ignores the environmental capacity (EC), which means that the effectiveness and objectivity of environmental impact assessment must be verified.

Identification of key industries of industrial sector with energy-related CO emissions and analysis of their potential for energy conservation and emission reduction in Xinjiang, China.

As the world's largest greenhouse gas emitter, China bears an arduous task of energy conservation (EC) and emission reduction (ER). CO arising from energy consumption during industrial processes makes up the vast majority of greenhouse gas emissions in China. It is the key for the Chinese government to achieve its goal of emission reduction in 2030 by identifying key industries with CO emissions and probing into their potential for EC&ER.

Decomposition of factors affecting changes in non-CO greenhouse gas emission intensity of China's livestock sector based on the concept of "environment-food-economy".

The livestock sector is the main source of non-CO greenhouse gas (GHG) emissions in China. Decomposing the factors that influence non-CO GHG intensity in the livestock sector (LGI) serves as an important reference for the development of specific emission reduction policies. However, the difficulty lies in how to consider the relationship between emission reductions and the human food supply and economic development.

Changes in agricultural carbon emissions and factors that influence agricultural carbon emissions based on different stages in Xinjiang, China.

Xinjiang's agricultural carbon emissions showed three stages of change, i.e., continued to rise, declined and continued to rise, during 1991-2014.