摘要
制造业数字化转型与绿色化转型都是推动制造业高质量发展的重要途径。基于2007—2020年中国省级面板数据,通过构建评价指标体系分别对制造业数字化转型与绿色化转型水平进行测度,并运用PVAR模型实证分析两者间的长期动态互动关系。结果表明:(1)制造业数字化转型与绿色化转型水平在样本期内逐步提升,但地区差异明显,存在东高西低现象。(2)东部、中部、西部三大区域制造业数字化转型与绿色化转型都明显依赖于自身发展水平;东部、中部地区已基本形成相互促进的互动关系,但两者间相互影响程度较低;西部地区制造业绿色化转型对数字化转型的支撑作用不足,尚未形成相互促进的良性互动。
The digital transformation and green transformation of manufacturing industry are both important ways to promote the high-quality development of manufacturing industry.Based on the provincial panel data of China from 2007 to 2020,this paper constructs an evaluation index system to measure the level of digital transformation and green transformation of the manufacturing industry respectively,and empirically analyzes the long-term dynamic interaction between the two by using PVAR model.The results are as follows:(1) The level of digital transformation and green transformation of manufacturing industry has gradually increased during the sample period,but the regional differences are obvious,and there is a growth pattern of high transformation level in the eastern and low in the western.(2) The digital transformation and green transformation of manufacturing industry in the eastern,central and western are obviously depend on their own previous development;The digitization and green transition of manufacturing industry have basically formed an interactive relationship of mutual promotion in the eastern and central,but the degree of mutual influence between the two is relatively low;The green transformation of manufacturing industry in the western region is not enough to support the digital transformation,and has not yet formed a positive interaction to promote each other.
作者
蒋海勇
韩颖慧
秦艳
JIAGN Haiyong;HAN Yinghui;QIN Yan(Business School,Guilin University of Technology,Guilin Guangxi 541004,China)
出处
《生态经济》
北大核心
2024年第11期47-52,共6页
Ecological Economy
基金
广西哲学社会科学规划项目“广西制造业数字化与绿色化协同发展机理及实现路径研究”(23FLJ006)
桂林理工大学科研启动基金“广西民族贫困地区生态产业化长效机制研究”(GUTQDJJ2018120)。
关键词
制造业
数字化转型
绿色化转型
PVAR模型
manufacturing industry
digital transformation
green transformation
PVAR model