Is the Ratoon Rice System More Sustainable? An Environmental Efficiency Evaluation Considering Carbon Emissions and Non-Point Source Pollution
文献类型： 外文期刊
作者： Qiao, Hui 1 ; Pu, Mingzhe 2 ; Wang, Ruonan 3 ; Zheng, Fengtian 4 ;
作者机构： 1.Chinese Acad Social Sci, Rural Dev Inst, Beijing 100732, Peoples R China
2.Chinese Acad Agr Sci, Inst Agr Econ & Dev, Beijing 100081, Peoples R China
3.Sichuan Acad Social Sci, Res Inst Eco Civilizat, Chengdu 610072, Peoples R China
4.Renmin Univ China, Sch Agr Econ & Rural Dev, Beijing 100872, Peoples R China
关键词： ratoon rice; agricultural sustainability; SBM-DEA; environmental efficiency; carbon emissions; non-point source pollution
期刊名称：SUSTAINABILITY （ 影响因子：3.3； 五年影响因子：3.6 ）
ISSN：
年卷期： 2024 年 16 卷 22 期
页码：
收录情况： SCI
摘要： The sustainability of rice-cropping systems hinges on balancing resources, output, and environmental impacts. China is revitalizing the ancient ratoon rice (RR) system for input savings and environmental benefits. Prior research has explored the RR system's performance using various individual indicators, but few studies have focused on its overall balance of these factors. Environmental efficiency (EE) analysis addresses this gap. Using field survey data from Hunan Province in China and the slacks-based data envelopment analysis method, we quantified the EE of the RR, double-season rice (DR), and single-season rice (SR) systems. Key findings include: (1) the RR system outperforms in carbon emissions and non-point source pollution; (2) the RR system's EE is 0.67, significantly higher than the DR (0.58) and SR (0.57) systems, indicating superior performance; and (3) despite its relatively high EE, the RR system can still improve, mainly due to input redundancy and production value shortfall. These findings provide strategies for optimizing RR systems to enhance agricultural sustainability.
- 相关文献
作者其他论文 更多>>
-
Study of Volatility Spillover from Crude Oil Futures to Grain Futures Across Multiple Cycles Based on the EEMD-BEKK-GARCH Model
作者：Wang, Xizhao;Pu, Mingzhe;Zhong, Yu;Sun, Shengxuan
关键词：crude oil futures; grain futures; EEMD method; BEKK-GARCH model
-
How the impact and mechanisms of digital financial inclusion on agricultural carbon emission intensity: new evidence from a double machine learning model
作者：Zheng, Fengtian;Chen, Siyu;Wang, Xizhao
关键词：digital financial inclusion; double machine learning (DML); carbon emission intensity (CEI); impact mechanisms; green transformation
-
Genetic diversity and relationships of broomcorn millet based on trnT-trnL and GBSSI sequences
作者：Yu, Xiaohan;Tan, Funa;Liu, Shaoxiong;Wang, Yue;Xin, Xuxia;Wang, Ruonan;Zhang, Yingxing;Chen, Zhaoyan;Liu, Minxuan;Wang, Xiaoxing;Ren, Jiandong;Xiang, Jishan;Xiang, Jishan
关键词：
-
The Genetic Diversity Assessment of Broomcorn Millet (Panicum miliaceum) and the Construction of a Mini-Core Collection
作者：Ren, Jiandong;Wang, Xiaoxing;Xiang, Jishan;Yu, Xiaohan;Wang, Yue;Xin, Xuxia;Wang, Ruonan;Zhang, Yingxing;Liu, Minxuan;Xiang, Jishan
关键词：genetic diversity; broomcorn millet; core collection; mini-core collection
-
Evaluating China Food's Fertilizer Reduction and Efficiency Initiative Using a Double Stochastic Meta-Frontier Method
作者：Chen, Xi;Pu, Mingzhe;Zhong, Yu
关键词：agricultural sustainability; grain fertilizer use efficiency; fertilizer reduction; agricultural environmental pollution
-
Overstocked Agricultural Produce and Emergency Supply System in the COVID-19 Pandemic: Responses from China
作者：Pu, Mingzhe;Chen, Xi;Zhong, Yu
关键词：COVID-19; overstocked agricultural products; food loss; food system; online data; e-commerce; China
-
Impact assessment of agriculture, energy and water on CO(2)emissions in China: untangling the differences between major and non-major grain-producing areas
作者：Wang, Jingyi;Dong, Xiucheng;Dong, Kangyin;Dong, Xiucheng;Dong, Kangyin;Qiao, Hui
关键词：CO(2)emissions; agricultural output; energy and water uses; major and non-major grain-producing areas; China
