The impact of industrial internet platform on green innovation: Evidence from a quasi-natural experiment

被引：24
作者：
Yu, Feifei [1 ]
Chen, Jiaqi [1 ]
机构：
[1] Hohai Univ, Business Sch, Nanjing, Peoples R China
来源：
JOURNAL OF CLEANER PRODUCTION | 2023年 / 414卷
关键词：
Industrial internet platform; Green innovation performance; Propensity score matching; Difference in difference; RESOURCE-BASED THEORY; ECONOMIC-PERFORMANCE; EMPOWERMENT; MANAGEMENT; EFFICIENCY; ADVANTAGE; ANALYTICS; FRAMEWORK; SEARCH; CHINA;
D O I：
10.1016/j.jclepro.2023.137645
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Industrial internet is an effective means to realize the green development of manufacturing industry. Whether the industrial Internet platform can improve the green innovation performance of enterprises is a very significant issue. Based on the Internet platform empowerment theory, this paper takes the industrial internet pilot demonstration project released annually by the Ministry of Industry and Information Technology in 2018-2021 as a quasi-natural experiment. By selecting the data of listed companies from 2011 to 2021 as research samples, this paper explores the impact of industrial Internet platforms on enterprises' green innovation performance. The findings indicate that the industrial internet platform dramatically improves enterprises' green innovation performance. And we also find that the impact of industrial internet platforms has greatly boosted the green innovation performance the enterprises with medium-and large-scale and situated in the first tier and new first tier cities.
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页数：13
相关论文
共 88 条
[31]   The role of digitalization on green economic growth: Does industrial structure optimization and green innovation matter? [J].
Hao, Xiaoli ;
Li, Yuhong ;
Ren, Siyu ;
Wu, Haitao ;
Hao, Yu .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 325
[32]  
Haucap J., 2014, Int. Econ. Econ. Policy, V11, P49, DOI DOI 10.1007/S10368-013-0247-6
[33]   Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme [J].
Heckman, JJ ;
Ichimura, H ;
Todd, PE .
REVIEW OF ECONOMIC STUDIES, 1997, 64 (04) :605-654
[34]   Network Synergy [J].
Hernandez, Exequiel ;
Shaver, J. Myles .
ADMINISTRATIVE SCIENCE QUARTERLY, 2019, 64 (01) :171-202
[35]   Deep-Green: A Dispersed Energy-Efficiency Computing Paradigm for Green Industrial IoT [J].
Hu, Ning ;
Tian, Zhihong ;
Du, Xiaojiang ;
Guizani, Nadra ;
Zhu, Zhihan .
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2021, 5 (02) :750-764
[36]  
JACOBSON LS, 1993, AM ECON REV, V83, P685
[37]   Smart retrofitting in manufacturing: A systematic review [J].
Jaspert, David ;
Ebel, Martin ;
Eckhardt, Alexej ;
Poeppelbuss, Jens .
JOURNAL OF CLEANER PRODUCTION, 2021, 312
[38]   THE LEGACIES OF FORCED FREEDOM: CHINA'S TREATY PORTS [J].
Jia, Ruixue .
REVIEW OF ECONOMICS AND STATISTICS, 2014, 96 (04) :596-608
[39]   Academic collaborations and firm innovation performance in China: The role of region-specific institutions [J].
Kafouros, Mario ;
Wang, Chengqi ;
Piperopoulos, Panagiotis ;
Zhang, Mingshen .
RESEARCH POLICY, 2015, 44 (03) :803-817
[40]   The rise of blockchain technology in agriculture and food supply chains [J].
Kamilaris, Andreas ;
Fonts, Agusti ;
Prenafeta-Boldu, Francesc X. .
TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2019, 91 :640-652
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