Work

Rethinking the Evaluation of Agricultural Eco-Efficiency in the North China Plain, Incorporating Multiple Greenhouse Gases

Year: 2025

Type: article

Abstract: The reduction of substantial agricultural greenhouse gases (GHGs) emissions can make a significant contribution to climate change mitigation and regional sustainable development. Given that most of the current studies about eco-efficiency only considers CO2, while ignoring other GHGs, such as CH4 and N2O, this study analyzes the spatiotemporal characteristics of CO2, CH4, and N2O, and considers them as undesirable outputs to assess the agricultural eco-efficiency (AEE) in the North China Plain from 2004 to 2022, respectively, including AEECO2, AEECH4, AEEN2O, and AEEGHG. The results show that (1) Agricultural GHGs emissions increased significantly before 2018 and slightly decreased after 2018, due to the enforcement of energy-saving and emission-reducing policies. Spatially, GHG emissions are higher in the north but lower in the south. (2) The study demonstrated that incorporating CH4 and N2O significantly affects efficiency (p < 0.01). AEECH4 and AEEN2O are higher than AEEGHG, while AEECO2 is lower than AEEGHG, indicating that only considering a single emission will result in an inefficient outcome. (3) With significant regional heterogeneity, AEEGHG is higher in Henan, Beijing, and Tianjin, while it is the lowest in Hebei. Specific suggestions are proposed to promote sustainable agricultural development. This study presents a novel perspective for comprehensively assessing AEE and offers scientific evidences for agricultural policy formulation to promote climate mitigation.

Source: Land

DOI: 10.3390/land14081665

Authors: Yutong Zhang, Wei Fu, Zhen Zhang, Lixuan Ma, Lijun Meng, Chao Wang

Institutions: China University of Geosciences (Beijing), Ministry of Natural Resources, Yunnan Agricultural University, Capital University of Economics and Business

Language: English

Topic: Efficiency Analysis Using DEA

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Climate action, Zero hunger

Open Access status: gold

Estimated APC paid: $3,137