[Synergistic Effect of Agricultural Pollution and Carbon Reduction and Their Driving Factors in Henan Province].

Q2 Environmental Science
Hang-Hang Fan, Xiao-Lei Jie, Ling Li, Xing-Ming Li, Yong Wu, Dong-Hao Li, Jian-Wei Liu
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引用次数: 0

Abstract

In the context of the "dual-carbon" goal and shaping of new advantages in green agricultural development, empirical references and policy recommendations are provided for agricultural agglomeration regions, mainly in grain-producing areas such as Henan Province, to explore the green, low-carbon transformation and high-quality sustainable development of agriculture. Based on the coupled coordination model, the GTWR model was used to explore the influence mechanism and spatiotemporal heterogeneity of the two synergies and their drivers, with a view to promoting the green, low-carbon and sustainable development of agriculture in Henan Province by taking pollution reduction and carbon reduction as a common goal. The results showed that: Between 2010 and 2022, agricultural carbon emissions and agricultural surface pollution emissions in Henan Province showed a slow increase, followed by a slow decline and a gradual stabilization trend, with obvious spatial and temporal heterogeneity. Between 2010 and 2022, the synergistic degree of agricultural carbon emissions and agricultural surface pollution in Henan Province had a trend of slow decrease and weakening of the polarization phenomenon, and the synergistic degree of differentiation in various regions decreased. The level of agricultural concentration and the degree of scale of cultivated land showed a negative regulatory effect, the urbanization rate showed a positive regulatory effect, and the positive and negative effects were distributed. The level of agricultural agglomeration and the degree of scale of arable land showed a negative regulatory effect; the urbanization rate showed a positive regulatory effect; the agricultural industry structure, crop planting structure, and effective irrigation rate of the regulatory effect of the spatial difference was obvious; and the positive and negative impacts were distributed. For the grain growing regions in Henan Province, a more positive driving effect was observed. In addition, the negative value of the regression coefficient of financial support for agriculture was concentrated in the central part of Henan Province, which had a significant negative driving effect on agricultural pollution reduction and carbon reduction in the central part of Henan Province. Agricultural carbon emissions and agricultural surface pollution in Henan Province had a high degree of synergy and strong spatial heterogeneity, and the regional differences in the impact of the driving factors on the synergistic effect were obvious. Thus, we should carry out the reuse of waste resources, strengthen agricultural technological innovation, and formulate differentiated pollution reduction and carbon reduction policies according to the local conditions, so as to promote the green and high-quality development of agriculture and to help achieve the "dual-carbon" goal.

河南省农业污染与碳减排的协同效应及其驱动因素研究
在绿色农业发展“双碳”目标和新优势塑造的背景下,为以河南等粮食主产区为主的农业集聚区探索农业绿色低碳转型和高质量可持续发展提供经验参考和政策建议。基于耦合协调模型,采用GTWR模型,探讨两种协同效应及其驱动因素的影响机制和时空异质性,以期以减少污染和减少碳排放为共同目标,促进河南省农业绿色、低碳和可持续发展。结果表明:2010—2022年,河南省农业碳排放和农业地表污染排放均呈现先缓慢增加后缓慢下降再逐渐稳定的趋势,且具有明显的时空异质性;2010 - 2022年,河南省农业碳排放与农业地表污染的协同程度呈现缓慢下降和极化现象减弱的趋势,各区域的协同分化程度有所下降。农业集中度和耕地规模程度呈现负向调节效应,城镇化率呈现正向调节效应,且正、负向调节效应呈分布。农业集聚水平和耕地规模程度呈现负向调节效应,城镇化率呈现正向调节效应,农业产业结构、作物种植结构和有效灌溉率的调节效应存在明显的空间差异,且正负向影响呈分布性。对于河南省的粮食产区,其驱动效应更为显著。财政支农回归系数的负值集中在豫中地区,对豫中地区农业污染减排和碳减排具有显著的负向驱动作用。河南省农业碳排放与农业地表污染具有高度的协同效应和较强的空间异质性,驱动因素对协同效应的影响区域差异明显。因此,我们应该开展废弃物资源化利用,加强农业技术创新,因地制宜地制定差别化的减污减碳政策,推动农业绿色高质量发展,助力“双碳”目标的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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