使农业项目适应温室气体排放条例

D. Kovbashin, N. M. Svetlov, N. Dronin
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引用次数: 0

摘要

利用独创的方法论,对俄罗斯南部农场的农业项目适应农业用地温室气体排放监管的情况进行了模型分析。技术过程和生态系统过程的排放量都被考虑在内。运筹学和模拟建模方法被应用于研究调节温室气体排放的两种方案,即通过以欧盟碳单位成本为重点的市场机制和通过设定排放限制的行政控制。对于每种方案,都对项目涉及的每块土地的最佳使用强度进行了估算。所提出的方法为分析国家调控经济活动对地球气候影响下的大型农业项目提供了科学和方法上的支持。该方法适用于地块空间高度分散的项目。研究结果明确了气候政策对农业生产技术配置影响的科学设想。研究表明,随着限制性行政措施的收紧,农民倾向于停止密集使用具有最高生产潜力的地区,同时在其余地区保持最大的生产强度。建议将获得的全部结果实际应用于开发和分析农业投资项目,包括项目风险分析,以及改进国家环境和气候政策,作为分析其后果的工具。
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ADAPTATION OF AN AGRICULTURAL PROJECT TO THE REGULATION OF GREENHOUSE GAS EMISSIONS
Using an original methodological approach, a model analysis of the adaptation of an agricultural project to the regulation of greenhouse gas emissions from agricultural land was carried out for the farms in the south of Russia. Emissions from both technological and ecosystem processes were taken into account. Methods of operations research and simulation modeling are applied to the study of two options for regulating greenhouse gas emissions, i.e. through market mechanisms focusing on the cost of carbon units in the EU and through the administrative control, which sets the emission limits. For each of the options, the optimal intensity of use was estimated for each land plot involved in the project.The proposed methodology supplements the scientific and methodological support for the analysis of the largescale agricultural projects under the state regulation of the impact of economic activities on the Earth’s climate. It is applicable to projects with a significant spatial dispersion of plots. As a result of the study, the scientific visions of the climate policy impact on the technological configuration of agricultural production were specified. A significant margin of sustainability of agriculture in the south of Russia to carbon market methods has been revealed; It is shown that as the restrictive administrative approaches are tightened, farmers prefer to stop the intensive use of areas with the highest productivity potential while maintaining the maximum production intensity within the rest. The totality of the results obtained is recommended for practical application for developing and analyzing investment agricultural projects, including the analysis of project risks, as well as for improving the state environmental and climate policy as a tool for analyzing its consequences.
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