Interaction Between Forest Products Trade and Carbon Sink Market in Digital Economy Era: Regression Model Analysis
摘要: 数字经济时代,林产品贸易与碳汇市场的相互作用日趋显著。本文深入探讨了林产品贸易与碳汇市场的相互作用,利用多元线性回归模型分析其对碳排放量的影响。研究发现,林业固定资产投资、人口总数、国内生产总值、林产品总产量和进口量对碳排放有显著影响。同时,本文探索了数字化技术如物联网、人工智能和区块链在提高林产品贸易效率和促进环境友好型发展方面的作用,这些技术的应用不仅优化了贸易流程,还提高了资源利用效率和环保标准。研究结果为林产品贸易的可持续发展和政策制定提供了重要依据,表现为数字经济时代下,运用先进技术和创新管理策略对减少环境影响的必要性。
Abstract: The interaction between forest products trade and the carbon sink market is becoming increasingly significant in the digital economy. This study explores this interaction and analyzes its impact on carbon emissions using a multiple linear regression model. The findings reveal that investments in forestry fixed assets, total population, gross domestic product, and the total production and import of forest products significantly affect carbon emissions. Additionally, the study examines the role of digital technologies such as IoT, AI, and blockchain in enhancing the efficiency of forest products trade and promoting environmentally friendly development. The application of these technologies not only optimizes trade processes but also improves resource utilization and environmental standards. The results provide a crucial foundation for the sustainable development of forest products trade and policy formulation, underscoring the necessity of employing advanced technologies and innovative management strategies to mitigate environmental impacts in the digital economy.
[V1] | 2024-09-23 13:39:28 | PSSXiv:202409.02091V1 | 下载全文 |
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