Academic Journal of Business & Management, 2025, 7(4); doi: 10.25236/AJBM.2025.070432.
Anka Dai1, Yanfen Qiu2, Yimeng Zhang3, Jiamei Pan4
1School of Economics and Management,Guiyang College, Guiyang, China
2School of Economics and Management,Guiyang College, Guiyang, China
3School of Economics and Management,Guiyang College, Guiyang, China
4School of Economics and Management,Guiyang College, Guiyang, China
Realizing carbon peak carbon neutrality is an inherent requirement for implementing the new development concept, constructing a new development pattern and promoting high-quality development. In this paper, based on the relevant data of 31 provinces in China from 2012 to 2022, the super-efficiency data envelopment model (Super-SBM) with non-expected outputs is used to measure the efficiency of agricultural carbon emissions, and the comprehensive indicators of agricultural high-quality development and digital economy are constructed through the entropy weight method. Based on the mediating effect, it can be seen that high-quality development of agriculture can improve the efficiency of agricultural carbon emissions by promoting the use of digital economy.
Agricultural carbon emission efficiency, Super-SBM, entropy weight method, mediating effect
Anka Dai, Yanfen Qiu, Yimeng Zhang, Jiamei Pan. Impact of high-quality agricultural development on agricultural carbon efficiency. Academic Journal of Business & Management (2025), Vol. 7, Issue 4: 253-261. https://doi.org/10.25236/AJBM.2025.070432.
[1] Li Bo, Zhang Junbiao, Li Haipeng. Spatial and temporal characteristics of agricultural carbon emissions in China and decomposition of influencing factors[J]. China Population-Resources and Environment,2011,21(08):80-86.
[2] Lin K .The Impact of Carbon Emissions Trading Pilot Policies on High-Quality Agricultural Development: An Empirical Assessment Using Double Machine Learning[J].Sustainability, 2025, 17. DOI:10.3390/su17051912.
[3] Yang Y , Cao Z , Huang M ,et al.The Impact of Agricultural Industry Agglomeration in Sichuan Province on Agricultural Carbon Emissions[J].E3S Web of Conferences, 2023, 441(000):4.DOI:10.1051/e3sconf/202344102023.
[4] Wan Lingxiao, Yang Guo. Pathways and effects of agricultural machinery on fertilizer application[J]. Chinese Journal of Ecological Agriculture (in English),2023,31(04):643-653.
[5] Wang, Shan-Gao. Digital economy and high-quality development of agriculture: impact effects and paths[J]. Statistics and Decision Making,2024,40(06):21-26.
[6] Tian Yun,Zhang Huijie. Spatial and temporal pattern and spatial differentiation mechanism of agricultural carbon emission efficiency in China[J]. Social Science Journal,2024,(02):172-182.
[7] Zhao Shuang,Zhao Dandan. Influence and mechanism of science and technology innovation efficiency on agricultural carbon emission efficiency[J]. Ecological Economy,2023,39(09):114-121.
[8] Ran Jincheng,Ma Huilan,Su Yang. Measurement of Agricultural Carbon Emission and Carbon Emission Reduction Potential in Five Northwestern Provinces[J]. Journal of Jiangxi Agricultural University,2017,39(03):623-632.
[9] Zhang Y , Hu H , Ran Y ,et al. Enhanced priming effect in agricultural soils driven by high-quality exogenous organic carbon additions: A meta-analysis[J].Science of the Total Environment, 2025, 962.DOI:10.1016/j.scitotenv.2025.178387.