Exploring the impact of the digital economy on green total factor productivity in China: A spatial econometric perspective
The digital economy is considered a driving force of green economic development. However, only a few studies have examined the relationship between the digital economy and green total factor productivity (GTFP). According to the principal component method and super-efficient Slacks-based measure mod...
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| Format: | Article |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.1097944/full |
| _version_ | 1797947065614991360 |
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| author | Xin Sun Ke Jiang Zhikun Cui Jilan Xu Xin Zhao |
| author_facet | Xin Sun Ke Jiang Zhikun Cui Jilan Xu Xin Zhao |
| author_sort | Xin Sun |
| collection | DOAJ |
| description | The digital economy is considered a driving force of green economic development. However, only a few studies have examined the relationship between the digital economy and green total factor productivity (GTFP). According to the principal component method and super-efficient Slacks-based measure model, the digital economy level and green total factor productivity GTFP were measured for China’s provinces based on panel data from 2013 to 2019. The spatial econometric model was then used to analyze the effects of the digital economy level on green total factor productivity GTFP. Results showed that the overall level of green total factor productivity GTFP maintained a steady growth trend, with an average yearly growth of 4.19%. Significant regional differences reflecting the development characteristics of eastern, central, and western regions were also observed. Most provinces showed either high or low values of both green total factor productivity GTFP and digital economic development thereby revealing spatial heterogeneity for the different provinces and cities. The spatial Durbin model showed that the digital economy had a significant direct effect (0.1498) and spatial spillover effect (0.3438) on green total factor productivity GTFP, the latter being greater than the former, with this conclusion supported by the robustness test. Technological innovation positively regulates the contribution of the region’s digital economy to green total factor productivity GTFP and negatively regulates the spatial spillover of the digital economy to green total factor productivity GTFP in neighboring regions. |
| first_indexed | 2024-04-10T21:20:53Z |
| format | Article |
| id | doaj.art-954797151fa1453892a3744dbdb858f0 |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-04-10T21:20:53Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj.art-954797151fa1453892a3744dbdb858f02023-01-20T04:51:02ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2023-01-011010.3389/fenvs.2022.10979441097944Exploring the impact of the digital economy on green total factor productivity in China: A spatial econometric perspectiveXin Sun0Ke Jiang1Zhikun Cui2Jilan Xu3Xin Zhao4School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, ChinaSchool of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, ChinaSchool of Public Economics, Shanghai Customs College, Shanghai, ChinaSchool of Urban and Regional Science, Shanghai University of Finance and Economics, Shanghai, ChinaSchool of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, ChinaThe digital economy is considered a driving force of green economic development. However, only a few studies have examined the relationship between the digital economy and green total factor productivity (GTFP). According to the principal component method and super-efficient Slacks-based measure model, the digital economy level and green total factor productivity GTFP were measured for China’s provinces based on panel data from 2013 to 2019. The spatial econometric model was then used to analyze the effects of the digital economy level on green total factor productivity GTFP. Results showed that the overall level of green total factor productivity GTFP maintained a steady growth trend, with an average yearly growth of 4.19%. Significant regional differences reflecting the development characteristics of eastern, central, and western regions were also observed. Most provinces showed either high or low values of both green total factor productivity GTFP and digital economic development thereby revealing spatial heterogeneity for the different provinces and cities. The spatial Durbin model showed that the digital economy had a significant direct effect (0.1498) and spatial spillover effect (0.3438) on green total factor productivity GTFP, the latter being greater than the former, with this conclusion supported by the robustness test. Technological innovation positively regulates the contribution of the region’s digital economy to green total factor productivity GTFP and negatively regulates the spatial spillover of the digital economy to green total factor productivity GTFP in neighboring regions.https://www.frontiersin.org/articles/10.3389/fenvs.2022.1097944/fullspatial heterogeneitygreen total factor productivityspatial measurementmoderating effectSBM |
| spellingShingle | Xin Sun Ke Jiang Zhikun Cui Jilan Xu Xin Zhao Exploring the impact of the digital economy on green total factor productivity in China: A spatial econometric perspective Frontiers in Environmental Science spatial heterogeneity green total factor productivity spatial measurement moderating effect SBM |
| title | Exploring the impact of the digital economy on green total factor productivity in China: A spatial econometric perspective |
| title_full | Exploring the impact of the digital economy on green total factor productivity in China: A spatial econometric perspective |
| title_fullStr | Exploring the impact of the digital economy on green total factor productivity in China: A spatial econometric perspective |
| title_full_unstemmed | Exploring the impact of the digital economy on green total factor productivity in China: A spatial econometric perspective |
| title_short | Exploring the impact of the digital economy on green total factor productivity in China: A spatial econometric perspective |
| title_sort | exploring the impact of the digital economy on green total factor productivity in china a spatial econometric perspective |
| topic | spatial heterogeneity green total factor productivity spatial measurement moderating effect SBM |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2022.1097944/full |
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