欢迎访问林业科学,今天是

林业科学 ›› 2020, Vol. 56 ›› Issue (6): 142-151.doi: 10.11707/j.1001-7488.20200614

• 问题讨论 • 上一篇    下一篇

要素投入驱动、产业结构升级与林业经济增长的空间效应解析——以黑龙江省重点国有林区为例

张滨,吕洁华*   

  1. 东北林业大学经济管理学院 哈尔滨 150040
  • 收稿日期:2019-05-17 出版日期:2020-06-25 发布日期:2020-07-17
  • 通讯作者: 吕洁华
  • 基金资助:
    黑龙江省哲学社会科学规划项目(17GLB012);黑龙江省哲学社会科学规划项目(14B123);中央高校基本科研业务费专项资金(2572017AC02)

Spatial Effects Analysis for Factor Inputs Driving, Industrial Structure Upgrading and Forestry Economic Growth: A Case Study of Heilongjiang Key State-Owned Forest Region

Bin Zhang,Jiehua Lü*   

  1. College of Economics and Management, Northeast Forestry University Harbin 150040
  • Received:2019-05-17 Online:2020-06-25 Published:2020-07-17
  • Contact: Jiehua Lü

摘要:

目的: 验证林业经济增长过程中是否存在显著的空间关联效应、空间集聚效应和空间溢出效应,探讨林业经济增长与要素投入、产业结构升级存在的内在关系。方法: 以黑龙江省重点国有林区40个林业局为例,运用全局Moran指数验证林业经济增长是否存在空间自关联效应,是否与劳动力、资本、森林管护、产业结构之间存在空间交叉关联效应;运用局部Moran指数检验林业经济增长是否存在空间集聚效应;运用空间回归模型检验林业经济增长是否存在空间溢出效应,并探讨空间溢出效应的表现形式。结果: 劳动力投入增长与林业总产值增长的全局Moran指数均值为负值,其他全局Moran指数均值为正值,并且整体上在0.10显著性水平上通过检验;局部Moran指数在0.10显著性水平上只有绥棱等8个林业局存在高增长集聚特征;空间回归模型显示劳动力投入存在显著的负向空间溢出效应,林业总产值、资本投入、森林管护、产业结构升级存在显著的正向空间溢出效应,并且空间杜宾固定效应模型的溢出效应均大于本地效应。结论: 要素投入驱动、产业结构升级与林业经济增长之间存在显著的空间关联效应,开始形成空间集聚效应;要素投入驱动与产业结构升级的边际效应主要通过空间溢出效应表现出来。黑龙江省重点国有林区林业经济增长的空间溢出效应本质上是知识溢出效应,具体表现在3个方面:生产内容与经营模式的同化、要素配置结构的趋同、产业结构升级的同步。

关键词: 林业经济增长, 要素投入, 产业结构升级, 空间效应

Abstract:

Objective: The aims of this study are to verify whether there are significant spatial correlation effects, spatial agglomeration effects and spatial spillover effects in the process of forestry economic growth, and to analyze the inner relationship between factor inputs, industrial structure upgrading and forestry economic growth. Methods: By taking 40 key state-owned forestry bureaus in Heilongjiang Province as an example, global Moran index was used to verify whether there is spatial auto-correlation effect for forestry economic growth, and whether there are spatial cross-correlation effects with labor, capital, forest management and industrial structure; Local Moran indices were used to test the existence of spatial agglomeration effects for forestry economic growth; Spatial regression models were used to test whether there are spatial spillover effects for forestry economic growth, and the manifestations were discussed. Results: The results showed that global Moran index mean value for labor input growth and forestry gross output growth is negative while the others are positive at 0.10 significance level in general; only 8 forestry bureaus such as Suiling have high growth agglomeration characteristics for local Moran indices at 0.10 significant level; Labor input has significant negative spatial spillover effect, while forestry gross output, capital investment, forest management and industrial structure upgrading have significant positive effects, and the spillover effects are greater than local effects for fixed effect of SDM(spatial Durbin model). Conclusion: Our results demonstrated that there are significant spatial correlation effects between factor inputs, industrial structure upgrading and forestry economic growth, while the spatial agglomeration effects are gradually forming; The marginal effects of factor inputs driving and industrial structure upgrading are mainly manifested through spatial spillover effects. The spatial spillover effects of forestry economic growth in Heilongjiang key state-owned forest areas are essentially knowledge spillover effects, which are embodied in three aspects:assimilation of production contents and management models, convergence of element allocation structure, and synchronization of industrial structure upgrading.

Key words: forestry economic growth, factor inputs, industrial structure upgrading, spatial effects

中图分类号: