基于PEST-SWOT矩阵的黑龙江省林业碳汇经济发展路径研究

Research on the Economic Development Path of Forestry Carbon Sequestration in Heilongjiang Province Based on PEST-SWOT Matrix

摘要: 黑龙江省是森林资源大省，森林覆盖率47.7%。生态旅游资源丰富，生物物种多样，自然气候优良，具备发展林业碳汇经济的自然资源条件。如何利用好林业碳汇发展的重要机遇促进本省经济发展是目前研究的焦点问题。本文运用PEST-SWOT矩阵分析模型在综合分析黑龙江省林业碳汇经济发展现状的基础上，结合实际情况，设计出适合本省发展林业碳汇经济的有效路径，以期为相关部门政策制定提供参考。

Abstract: Heilongjiang Province is rich in forest resources, with a forest coverage rate of 47.7%. It is rich in ecotourism resources, diverse in biological species, and has excellent natural climate. It has the natural resource conditions for developing forestry carbon sink economy. How to make good use of the important opportunities for the development of forestry carbon sinks to promote the province’s economic development is the focus of current research. This paper uses PEST-SWOT matrix analysis model to comprehensively analyze the status quo of forestry carbon sink economic development in Heilongjiang Province, and combines the actual situation to design an effective path suitable for the province’s development of forestry carbon sink economy, in order to provide reference for policy formulation of relevant departments.