首页|数字产业集聚对减污降碳协同的影响——以长江经济带为例

数字产业集聚对减污降碳协同的影响——以长江经济带为例

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
[目的]"数字化"与"绿色化"能否协同是高质量发展与高水平保护研究领域的重要科学问题之一。长江经济带作为数字产业重要集群带和减污降碳协同的重点区域，数字产业集聚能否实现其减污降碳协同增效，事关美丽中国建设与双碳目标的实现。[方法]基于2010-2020年长江经济带108个城市的数字产业股权投资数据和环境污染与碳排放数据，刻画其数字产业时空格局及减污降碳时空演化特征，采用固定效应模型探究数字产业集聚对减污降碳协同的影响及作用机制，并构建空间杜宾模型分析其空间溢出效应和衰减边界。[结果]研究发现:①长江经济带数字产业投资网络呈现出"多线程、多极化"的空间演化趋势，净投资流表现出明显的"郊区化"倾向，形成"中心流出、外围承接"的分布格局。②数字产业集聚显著地促进了减污降碳，且兼具减污降碳协同效应，这一结论在一系列内生性及稳健性检验后仍然稳健。机制检验发现，数字产业集聚能够通过规模经济效应、产业升级效应和技术创新效应促进区域减污降碳协同增效。③数字产业集聚对减污降碳协同具有显著的正向空间溢出效应，这种效应随着空间距离的增大呈现"右拖尾U型"特征。同时，在250km以内为空间溢出效应的"增强"区域，250～450 km之间为"衰减"区域，450 km以外空间溢出效应趋近于0且不再显著。[结论]研究证实了发挥数字产业的集聚效应能够有效地促进区域减污降碳协同增效，据此建议推进数字产业集聚与网络化发展、鼓励数字产业跨区域投资，并提出了差异化的减污降碳协同策略。
The impact of digital industry agglomeration on synergistic pollution reduction and carbon emission reduction:Taking the Yangtze River Economic Belt as an example
[Objective]Whether"digitization"and"green"can cooperate is one of the important scientific issues in the field of high-quality development and high-level protection research.The Yangtze River Economic Belt,as a significant cluster of the digital industry and a key area for pollution reduction and carbon emission reduction coordination,plays a pivotal role in the construction of a beautiful China and the realization of the dual carbon goals.[Methods]Based on the equity investment data of the digital industry and the environmental pollution and carbon emission data from 108 cities in the Yangtze River Economic Belt between 2010 and 2020,this study delineated the spatial pattern of the digital industry and the spatial and temporal change characteristics of pollution reduction and carbon emission reduction.A fixed-effect model was employed to explore the impact of the digital industry agglomeration on pollution reduction and carbon emission reduction coordination and mechanism.Additionally,a spatial Durbin model was constructed to analyze its spatial spillover effects and attenuation boundaries.[Results]The findings reveal that:(1)The investment network of the digital industry in the Yangtze River Economic Belt exhibits a"multi-pathway,multi-polar"trend of spatial change,with net investment flows showing a clear tendency towards suburbanization,forming a"outflow from the center,receiving by the periphery"distribution pattern.(2)The agglomeration of the digital industry positively drives pollution reduction and carbon emission reduction,also demonstrating synergistic effects for both.This result remains robust after a series of endogeneity and robustness tests.Mechanism tests found that digital industry agglomeration can promote regional pollution reduction and carbon emission reduction coordination through scale economy effects,industrial upgrading effects,and technological innovation effects.(3)Digital industry agglomeration has a significant positive spatial spillover effect on pollution reduction and carbon emission reduction coordination.This effect presents a"right-tailed U-shaped"characteristic with increasing spatial distance.Meanwhile,the area within 250 km of the agglomeration is the"enhancement area"for spatial spillover effects,the area between 250 km and 450 km is the"attenuation area",and beyond 450 km,the effect approaches zero and becomes insignificant.[Conclusion]Research has confirmed that leveraging the agglomeration effects of the digital industry can effectively promote synergistic improvements in regional pollution reduction and carbon emission mitigation.It is recommended to foster the agglomeration and networking development of the digital industry,encourage cross-regional investment in the digital industry,and implement differentiated strategies and cross-regional cooperation platforms.

digital industry agglomerationpollution and carbon emission reductionsynergistic effectspillover effectsspatial attenuation boundariesspatial Durbin modelYangtze River Economic Belt

刘耀彬、邓伟凤、李硕硕、魏国恩、李汝资

展开 >

南昌大学经济管理学院,南昌 330031

南昌大学资源与环境学院,南昌 330031

数字产业集聚 减污降碳 协同增效 溢出效应 空间衰减边界 空间杜宾模型 长江经济带

国家科技重点研发专项国家自然科学基金青年基金

2022yfd160060342101168

2024

10.18402/resci.2024.04.07

资源科学
中国科学院地理科学与资源研究所 中国自然资源学会

资源科学

CSTPCDCSSCICHSSCD北大核心
影响因子：2.408
ISSN：1007-7588
年,卷(期)：2024.46(4)
  • 61