Energy internet, digital economy, and green economic growth: Evidence from China
Taking the data of 30 provinces in China from 2006 to 2018, the spatial dynamic Durbin model is applied to exploit the influence of energy internet (EI) and digital economy (DE) on green economic growth (GEG). This paper confirms that: Not only does the GEG in the previous phase significantly contri...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
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| Series: | Innovation and Green Development |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S294975312200011X |
| _version_ | 1797753898043179008 |
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| author | Weilong Wang Xiaodong Yang Jianhong Cao Wenchao Bu Abd Alwahed Dagestani Tomiwa Sunday Adebayo Azer Dilanchiev Siyu Ren |
| author_facet | Weilong Wang Xiaodong Yang Jianhong Cao Wenchao Bu Abd Alwahed Dagestani Tomiwa Sunday Adebayo Azer Dilanchiev Siyu Ren |
| author_sort | Weilong Wang |
| collection | DOAJ |
| description | Taking the data of 30 provinces in China from 2006 to 2018, the spatial dynamic Durbin model is applied to exploit the influence of energy internet (EI) and digital economy (DE) on green economic growth (GEG). This paper confirms that: Not only does the GEG in the previous phase significantly contributes to the GEG in the subsequent phase, but the GEG in the local region also significantly contributes to the GEG in the adjacent area. EI and DE can significantly promote GEG, and their interaction term has a positive effect on GEG. A significant non-linear nexus is observed for the influence of the EI and the DE on GEG. Specifically, the impact of the EI on GEG is characterized by a non-linear single threshold with increasing positive marginal effects, while the impact of the DE on GEG is characterized by a non-linear double threshold that first inhibits and then promotes GEG. |
| first_indexed | 2024-03-12T17:24:33Z |
| format | Article |
| id | doaj.art-8432b10140a1431aabbca62f32958026 |
| institution | Directory Open Access Journal |
| issn | 2949-7531 |
| language | English |
| last_indexed | 2024-03-12T17:24:33Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Innovation and Green Development |
| spelling | doaj.art-8432b10140a1431aabbca62f329580262023-08-05T05:18:41ZengElsevierInnovation and Green Development2949-75312022-12-0112100011Energy internet, digital economy, and green economic growth: Evidence from ChinaWeilong Wang0Xiaodong Yang1Jianhong Cao2Wenchao Bu3Abd Alwahed Dagestani4Tomiwa Sunday Adebayo5Azer Dilanchiev6Siyu Ren7School of Economics, Sichuan University, Chengdu 610065, China; College of Economics and Management, Xinjiang University, Urumqi 830047, ChinaCollege of Economics and Management, Xinjiang University, Urumqi 830047, ChinaSchool of Business and Economics, Universiti Putra Malaysia, Selangor 43400, MalaysiaSchool of Economics, Nankai University, Tianjin 300071, ChinaFaculty of Economics, University of Tishreen, Lattakia, P.O. Box 2230, SyriaDepartment of Economics, Faculty of Economics and Administrative Sciences, Cyprus International University, Northern Cyprus, Mersin 10, TurkeyFaculty of Business and Technologies, International Black Sea University, Tbilisi, GeorgiaSchool of Economics, Nankai University, Tianjin 300071, China; Corresponding author. Present address: School of Economics, Nankai University, No. 94 Weijin Street, Tianjin 300071, China.Taking the data of 30 provinces in China from 2006 to 2018, the spatial dynamic Durbin model is applied to exploit the influence of energy internet (EI) and digital economy (DE) on green economic growth (GEG). This paper confirms that: Not only does the GEG in the previous phase significantly contributes to the GEG in the subsequent phase, but the GEG in the local region also significantly contributes to the GEG in the adjacent area. EI and DE can significantly promote GEG, and their interaction term has a positive effect on GEG. A significant non-linear nexus is observed for the influence of the EI and the DE on GEG. Specifically, the impact of the EI on GEG is characterized by a non-linear single threshold with increasing positive marginal effects, while the impact of the DE on GEG is characterized by a non-linear double threshold that first inhibits and then promotes GEG.http://www.sciencedirect.com/science/article/pii/S294975312200011XEnergy internetDigital economyThreshold effectSpatial spillover effectGreen economic growth |
| spellingShingle | Weilong Wang Xiaodong Yang Jianhong Cao Wenchao Bu Abd Alwahed Dagestani Tomiwa Sunday Adebayo Azer Dilanchiev Siyu Ren Energy internet, digital economy, and green economic growth: Evidence from China Innovation and Green Development Energy internet Digital economy Threshold effect Spatial spillover effect Green economic growth |
| title | Energy internet, digital economy, and green economic growth: Evidence from China |
| title_full | Energy internet, digital economy, and green economic growth: Evidence from China |
| title_fullStr | Energy internet, digital economy, and green economic growth: Evidence from China |
| title_full_unstemmed | Energy internet, digital economy, and green economic growth: Evidence from China |
| title_short | Energy internet, digital economy, and green economic growth: Evidence from China |
| title_sort | energy internet digital economy and green economic growth evidence from china |
| topic | Energy internet Digital economy Threshold effect Spatial spillover effect Green economic growth |
| url | http://www.sciencedirect.com/science/article/pii/S294975312200011X |
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