Digital economy and green development: Empirical evidence from China’s cities
With prominent environmental pollution and depleted resources, how to coordinate economic growth and eco-environmental protection to guide green development represented by green total factor productivity (GTFP) is an urgent issue. This study aims to empirically evaluate the direct effect, indirect e...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2023-02-01
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Series: | Frontiers in Environmental Science |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2023.1124680/full |
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author | Yue Xiao Si Wu Zai Qi Liu Hai Ji Lin |
author_facet | Yue Xiao Si Wu Zai Qi Liu Hai Ji Lin |
author_sort | Yue Xiao |
collection | DOAJ |
description | With prominent environmental pollution and depleted resources, how to coordinate economic growth and eco-environmental protection to guide green development represented by green total factor productivity (GTFP) is an urgent issue. This study aims to empirically evaluate the direct effect, indirect effect, spatial spillover effect and non-linear effect of the digital economy on green development using the data of 284 prefecture-level cities in China. The empirical results indicate that: (1) the digital economy significantly improves GTFP, which is still valid after testing for robustness, including introducing instrumental variables, taking the “broadband China” pilot policy as a quasi-natural experiment, changing core explanatory variables and dependent variables, and changing the sample size; (2) the influence of the digital economy on GTFP is characterized by significant heterogeneity among resource dependence, geographical location, financial development level and openness level; (3) the mechanism analysis shows that the digital economy promotes GTFP by green technological innovation, industrial structure upgrading and energy conservation; (4) the spatial econometric models indicate that the digital economy significantly enhances GTFP of neighboring cities; (5) there is a non-linear relationship between the digital economy and GTFP using the threshold model. The findings could provide references for policymakers to promote urban green development. |
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format | Article |
id | doaj.art-4a8096adb0114c62af9cf728b6cb2ea6 |
institution | Directory Open Access Journal |
issn | 2296-665X |
language | English |
last_indexed | 2024-04-10T16:25:40Z |
publishDate | 2023-02-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Environmental Science |
spelling | doaj.art-4a8096adb0114c62af9cf728b6cb2ea62023-02-09T04:38:46ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2023-02-011110.3389/fenvs.2023.11246801124680Digital economy and green development: Empirical evidence from China’s citiesYue XiaoSi WuZai Qi LiuHai Ji LinWith prominent environmental pollution and depleted resources, how to coordinate economic growth and eco-environmental protection to guide green development represented by green total factor productivity (GTFP) is an urgent issue. This study aims to empirically evaluate the direct effect, indirect effect, spatial spillover effect and non-linear effect of the digital economy on green development using the data of 284 prefecture-level cities in China. The empirical results indicate that: (1) the digital economy significantly improves GTFP, which is still valid after testing for robustness, including introducing instrumental variables, taking the “broadband China” pilot policy as a quasi-natural experiment, changing core explanatory variables and dependent variables, and changing the sample size; (2) the influence of the digital economy on GTFP is characterized by significant heterogeneity among resource dependence, geographical location, financial development level and openness level; (3) the mechanism analysis shows that the digital economy promotes GTFP by green technological innovation, industrial structure upgrading and energy conservation; (4) the spatial econometric models indicate that the digital economy significantly enhances GTFP of neighboring cities; (5) there is a non-linear relationship between the digital economy and GTFP using the threshold model. The findings could provide references for policymakers to promote urban green development.https://www.frontiersin.org/articles/10.3389/fenvs.2023.1124680/fulldigital economygreen total factor productivityinnovationindustrial structureenergy conservation |
spellingShingle | Yue Xiao Si Wu Zai Qi Liu Hai Ji Lin Digital economy and green development: Empirical evidence from China’s cities Frontiers in Environmental Science digital economy green total factor productivity innovation industrial structure energy conservation |
title | Digital economy and green development: Empirical evidence from China’s cities |
title_full | Digital economy and green development: Empirical evidence from China’s cities |
title_fullStr | Digital economy and green development: Empirical evidence from China’s cities |
title_full_unstemmed | Digital economy and green development: Empirical evidence from China’s cities |
title_short | Digital economy and green development: Empirical evidence from China’s cities |
title_sort | digital economy and green development empirical evidence from china s cities |
topic | digital economy green total factor productivity innovation industrial structure energy conservation |
url | https://www.frontiersin.org/articles/10.3389/fenvs.2023.1124680/full |
work_keys_str_mv | AT yuexiao digitaleconomyandgreendevelopmentempiricalevidencefromchinascities AT siwu digitaleconomyandgreendevelopmentempiricalevidencefromchinascities AT zaiqiliu digitaleconomyandgreendevelopmentempiricalevidencefromchinascities AT haijilin digitaleconomyandgreendevelopmentempiricalevidencefromchinascities |