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

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.

Authors

Institutions

Publication Details

Journal
Land
Published
2025-08-18
DOI
https://doi.org/10.3390/land14081665
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Chao Wang, Zhen Zhang, Meng Lijun, Yutong Zhang et al.
Land
Environmental Impact and Sustainability
article

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

Chao Wang, Zhen Zhang, Meng Lijun, Yutong Zhang, Wei Fu, Li Ma
article en

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.

LandVol. 14(8)
Yunnan Agricultural University (CN), China University of Geosciences (Beijing) (CN), Land Consolidation and Rehabilitation Center (CN), Bureau of Geology and Mineral Exploration and Development of Guizhou Province (CN), Capital University of Economics and Business (CN)
Openalex Percentile: Top 81%
Environmental Impact and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.