Liu Yunqiang, Ye Deping, Liu Sha, Lan Hongxing
College of Management, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China.
Sichuan Center for Rural Development Research, Chengdu, 611130, China.
Environ Sci Pollut Res Int. 2023 Jan;30(3):5634-5661. doi: 10.1007/s11356-022-22465-3. Epub 2022 Aug 18.
China is one of the largest agricultural countries in the world. In the context of China's efforts to achieve dual carbon goals (carbon peak and carbon neutral), the need for carbon emissions reductions in the agricultural sector cannot be ignored. This study collected 2007 to 2018 data from 30 Chinese provinces and used a difference in differences (DID) model to investigate the relationships between China's leading officials' accountability audit of natural resources policy (LOAANR), agricultural technological progress, and agricultural carbon emissions intensities (CEI). A common trend test, placebo test, PSM-DID, and other test methods were used to verify the reliability of the results. The results show that (1) compared with the non-pilot areas, the policy implementation could significantly reduce CEI; (2) the LOAANR was able to stimulate patented technological progress (ATI) and mechanical technological progress (AMT), but different types of technological progress had different mediation effect sizes; and (3) the policy effects shows obvious regional heterogeneity, manifesting as west > east > central; and the policy effects were more obvious in the non-major grain-producing areas, but had no inhibition effects on the CEI in the major grain-producing areas; compared with low intensity market-based environmental regulation (MER) regions, high-intensity MER regions have stronger LOAANR emission reduction effects. Based on the study findings, policy suggestions are given to reduce agricultural carbon emissions and promote higher quality agricultural development.
中国是世界上最大的农业国家之一。在中国努力实现双碳目标(碳达峰和碳中和)的背景下,农业部门的碳排放减少需求不容忽视。本研究收集了中国30个省份2007年至2018年的数据,并使用双重差分(DID)模型来研究中国自然资源政策主要官员问责审计(LOAANR)、农业技术进步和农业碳排放强度(CEI)之间的关系。采用共同趋势检验、安慰剂检验、倾向得分匹配法-双重差分法(PSM-DID)等检验方法来验证结果的可靠性。结果表明:(1)与非试点地区相比,政策实施能够显著降低碳排放强度;(2)自然资源政策主要官员问责审计能够促进专利技术进步(ATI)和机械技术进步(AMT),但不同类型的技术进步具有不同的中介效应大小;(3)政策效应呈现明显的区域异质性,表现为西部>东部>中部;政策效应在非主要粮食产区更为明显,但对主要粮食产区的碳排放强度没有抑制作用;与低强度市场化环境规制(MER)地区相比,高强度MER地区的自然资源政策主要官员问责审计减排效果更强。基于研究结果,给出了减少农业碳排放和促进农业高质量发展的政策建议。