| Title | How does digital technology empower urban green development efficiency in the Beijing-Tianjin-Hebei region-mechanism analysis and spatial effects |
|---|---|
| ID_Doc | 32594 |
| Authors | Yang, YY; Gu, RD; Ma, SB; Chen, WK |
| Title | How does digital technology empower urban green development efficiency in the Beijing-Tianjin-Hebei region-mechanism analysis and spatial effects |
| Year | 2023 |
| Published | Environmental Science And Pollution Research, 30, 11 |
| Abstract | Under the strategy of "Digital China" and "Sustainable Development," the synergistic development of digital economy and green economy has become a crucial topic. Based on the panel data of 13 cities in the Beijing-Tianjin-Hebei (BTH) region from 2011 to 2019, this study investigates the direct effect, intrinsic mechanism, and spatial spillover effect of digital technology development (DTD) on urban green development efficiency (GDE). The empirical results show that (1) DTD significantly improves urban GDE in the BTH region, and it passes the endogeneity test, (2) DTD can enhance urban GDE by improving the environmental regulation intensity and technological innovation level in the BTH region; however, the industrial structure optimization weakens the promotion effect of DTD on urban GDE in the BTH region, which shows a "masking effect," (3) the kernel density estimation method and ArcGIS technology reveal the existence of "digital divide" and GDE differences among cities in the BTH region. Moreover, the spatial distribution pattern of DTD gradually forms "H-H" and "L-L" clusters in the BTH region, and (4) DTD also increases the GDE of neighboring cities through spatial spillover effects in the BTH region, and it passes the robustness test of replacing the spatial weight matrix. This study is important for the BTH region to simultaneously solve economic development and environmental problems in the context of digitalization. |
| https://link.springer.com/content/pdf/10.1007/s11356-022-24368-9.pdf |
Similar Articles
| ID | Score | Article |
|---|---|---|
62801
|
Gu, RD; Li, CF; Yang, YY; Zhang, J The impact of industrial digital transformation on green development efficiency considering the threshold effect of regional collaborative innovation: Evidence from the Beijing-Tianjin-Hebei urban agglomeration in China(2023) | |
| 30367
|
Dian, J; Song, T; Li, SL Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation(2024) | |
| 62116
|
Xiao, Y; Wu, S; Liu, ZQ; Lin, HJ Digital economy and green development: Empirical evidence from China's cities(2023) | |
| 62747
|
Bai, DB; Li, M; Wang, YQ; Mallek, S; Shahzad, U Impact mechanisms and spatial and temporal evolution of digital economy and green innovation: A perspective based on regional collaboration within urban agglomerations(2024) | |
| 62792
|
Gu, RD; Li, CF; Yang, YY; Zhang, J; Liu, K Impact of digital economy development on carbon emission intensity in the Beijing-Tianjin-Hebei region: a mechanism analysis based on industrial structure optimization and green innovation(2023)Environmental Science And Pollution Research, 30, 14 | |
| 31592
|
Ma, D; Zhu, Q Innovation in emerging economies: Research on the digital economy driving high-quality green development(2022) | |
| 62809
|
Lu, JC; Zhou, SQ; Xiao, XH; Zhong, M; Zhao, YF The Dynamic Evolution of the Digital Economy and Its Impact on the Urban Green Innovation Development from the Perspective of Driving Force-Taking China's Yangtze River Economic Belt Cities as an Example(2023)Sustainability, 15, 8 | |
| 62309
|
Luo, SY; Yimamu, N; Li, YR; Wu, HT; Irfan, M; Hao, Y Digitalization and sustainable development: How could digital economy development improve green innovation in China?(2023)Business Strategy And The Environment, 32, 4 | |
| 62339
|
Wen, R; Li, HY Impact of digital economy on urban land green use efficiency: evidence from Chinese cities(2024)Environmental Research Communications, 6, 5 | |
| 62484
|
Jiang, TY; Liu, YQ Effect of the Digital Economy on Urban Green Development: Empirical Evidence from 284 Cities of China(2024)Polish Journal Of Environmental Studies, 33, 5 |