An Optimization Scheme of Balancing GHG Emission and Income in Circular Agriculture System

Abstract

With the rapid development of circular agriculture in China, balancing agricultural income and environmental impact by adjusting the structure and scale of circular agriculture is becoming increasingly important. Agriculture is a major source of greenhouse gas and income earned from agriculture drives sustainable agricultural development. This paper built a multi-objective linear programming model based on greenhouse gas emission and agricultural product income and then optimized the structure and scale of circular agriculture using Beiqiu Farm as a case study. Results showed that greenhouse gas emission was mainly from manure management in livestock industry. While the agriculture income increased by 64% after optimization, GHG emission increased by only 12.3%. The optimization made full use of straw, manure and fodder, but also minimized soil nitrogen loss. The results laid a generalized guide for adjusting the structure and scale of the planting and raising industry. Measures for optimizing the management of manure were critical in achieving low agricultural carbon emissions in future agricultural development efforts.

Toward a Socio-Political Approach to Promote the Development of Circular Agriculture: A Critical Review

“…The Chinese practice confirms that the circular model is achievable in agriculture, and the government plays a key role in promoting CA [ 65 , 66 , 67 ]. These findings can inform public policy in emerging economies on similar development trajectories [ 68 ]. First, governments may cover some of the initial costs of CA projects.…”

Multi-Objective Optimization of Integrated Crop–Livestock Systems: Exploring Resource Allocation Based on Emergy Evaluation

“…In reality, decoupling crop production and livestock production in China is a key issue [1]. Many scholars have analyzed the resource allocation relationship between crops and livestock based on agricultural evaluation [3,7,8]. To couple crops and livestock, it is important to research the quantitative allocation of agricultural resources.…”