空间异质性如何影响工业产出?文献综述与研究展望

Q3 Environmental Science Journal of Resources and Ecology Pub Date : 2023-11-02 DOI:10.5814/j.issn.1674-764x.2023.06.010
Xie Ailiang, Fauziah Che Leh, Norimah Rambeli
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引用次数: 0

摘要

空间异质性对工业产出的影响是经济地理学中一个新的重要课题。虽然已经积累了大量的研究文献,但学术界对这一课题缺乏系统、全面的综述和共识。本研究通过挖掘相关古典文献进行研究。本研究首先梳理了空间异质性的内涵,空间异质性既对应于空间依赖性,又与空间依赖性相关。理论学家普遍认为,在工业产出过程中存在空间异质性。然后总结了空间异质性对工业产出影响的逻辑基础、关系协调、测度等方面。在分析空间异质性对产业产出的影响时,既不能忽视空间维度,也必须关注个体企业的异质性。工业产出分析需要基于空间异质性和空间依赖性之间的关系。空间异质性对工业产出的影响以及观测对象之间的差异程度可以通过计量经济学方法来衡量。测度和定量描述空间异质性对工业产出影响的常用指标主要有半变异函数、空间扩展模型和地理加权回归模型。最后指出了今后的研究方向,以期为今后的理论研究和工业实践提供有益的思路。
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How Does Spatial Heterogeneity Affect Industrial Outputs? Literature Review and Research Prospects
The impact of spatial heterogeneity on industrial outputs is a new important topic in economic geography. A considerable amount of research literature has accumulated, but the academic community lacks a systematic and comprehensive review and consensus on this topic. This study carried out research by mining the relevant classical literature. This investigation first combed the connotation of spatial heterogeneity, which is both corresponding to and related to spatial dependence. Theorists generally acknowledge that there is spatial heterogeneity in the process of industrial outputs. Then this study summarizes the logical basis, relationship coordination, measurement and other aspects of the effect of spatial heterogeneity on industrial outputs. In analyzing the impact of spatial heterogeneity on industrial outputs, we should not ignore the spatial dimension, but must also pay attention to the heterogeneity of individual enterprises. Industrial output analysis needs to be based on the relationship between spatial heterogeneity and spatial dependence. The influence of spatial heterogeneity on industrial outputs and the degree of differences among observation objects can be measured by econometric methods. The common indicators for measuring and quantitatively describing the impact of spatial heterogeneity on industrial outputs mainly include semivariogram, the spatial expansion model and the geographical weighted regression model. Finally, some directions of future research are pointed out in order to provide useful ideas for future theoretical research and industrial practice.
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来源期刊
Journal of Resources and Ecology
Journal of Resources and Ecology Environmental Science-Ecology
CiteScore
2.40
自引率
0.00%
发文量
107
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