碳排放对制造业集聚的非线性影响研究——基于半参数空间自回归模型的应用

Zhenrui Wu, Hyun-chung Kim
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摘要

目的:利用半参数空间自回归模型研究制造业集群对碳排放的非线性影响。研究设计、数据与方法:本研究对2013 - 2019年韩国17个地区、25个制造业领域的制造业专业化和多元化集聚指数进行了分地区计算。考虑制造业集聚对碳排放的影响,采用制造业集聚对碳排放影响的半参数模型检验制造业集聚对碳排放的非线性效应。此外,考虑到碳排放的空间流动性和邻近区域的政策模仿,构建了考虑个体间空间相互作用的半参数空间自回归模型。结果:根据制造业集群类型对碳减排效果的分析表明,专业化集群对碳排放的影响呈n型结构。在专业化整合的早期阶段,促进碳排放的作用随着整合水平的提高而减弱,并逐渐抑制碳排放。制造业多元化对碳排放的影响呈明显的倒u型结构。在多元化和一体化的早期阶段,碳排放增长强劲,随着一体化水平的提高,碳排放逐渐受到抑制,制造业的多元化集聚对碳排放的抑制作用大于专业化集聚。结论:在规模较大且相对成熟的制造业专业化集群中,应重视生产规模扩张与碳排放的关系。生产规模的扩大会削弱技术进步的生态友好效应。在制造业多元化集聚的初期,应注意提高资源利用效率,减少碳排放。在实现集聚区域多元化的同时,要通过完善产业园区内的公共基础设施,促进现有资源的合理利用。综合来看,应该制定政策,维护相关产业的功能,提高能源效率,通过流程改进降低碳强度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the Nonlinear Effect of Manufacturing Agglomeration by Carbon Emissions : Application of Semi-parametric Spatial Autoregressive Model
Purpose : This study examined the non-linear effect of manufacturing clusters on carbon emissions using the semi-parametric spatial autoregressive model. Research design, data and methodology : This study calculated the manufacturing specialization and diversification agglomeration index according to the region in Korea for 17 regions and 25 manufacturing fields in Korea from 2013 to 2019. Considering the impact of manufacturing agglomeration on carbon emissions, the non-linear effect of manufacturing agglomeration on carbon emissions was examined using a semi-parametric model for the effect of manufacturing agglomeration on carbon emissions. In addition, considering the spatial fluidity of carbon emissions and policy imitation of neighboring regions, this study constructed a semi-parametric spatial autoregressive model considering the spatial interactions between individuals. Results : An analysis of the carbon emission reduction effect according to the manufacturing cluster type showed that, the effect of a specialized cluster on carbon emission was an N-shaped structure. In the early stages of specialization integration, the action of promoting carbon emission is weakened as the level of integration increases and gradually suppresses carbon emission. The effect of the diversification of the manufacturing industry on carbon emissions was found to be a distinct inverted U-shaped structure. In the early stages of diversification and integration, carbon emissions increased strongly, and carbon emissions were gradually suppressed as the level of integration increased, Diversification agglomeration in the manufacturing industry had a greater effect on suppressing carbon emissions than specialization agglomeration. Conclusions : Attention should be paid to the relationship between the expansion of production scale and carbon emission in large and relatively mature manufacturing specialization clusters. The expansion of the production scale mat weaken the eco friendly effect of technological progress. In the early stages of diversification and agglomeration in the manufacturing industry, attention should be paid to improving resource use efficiency and reducing carbon emissions. While diversifying the agglomeration areas, it is necessary to promote the rational use of existing resources by improving public infrastructure within the industrial complex. Comprehensively, policies should be set to maintain the functions of various related industries, enhance the energy efficiency, and lower carbon intensity through process improvement.
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