| Title | The Spatial Correlation Between Green High-Quality Development and Technology Finance |
|---|---|
| ID_Doc | 31388 |
| Authors | Jiang, LL; Wang, H; Wang, SW; Hu, ZF; Tong, AH; Wang, YF |
| Title | The Spatial Correlation Between Green High-Quality Development and Technology Finance |
| Year | 2022 |
| Published | |
| Abstract | Based on an analysis of the function of technology finance for green high-quality development, this paper selects 35 basic indicators from the five dimensions of innovation, coordination, greenness, openness, and sharing to construct an Green High-quality Development Index. Moreover, 14 basic indicators are selected from the three dimensions of technology finance resources level, technology finance input level, and technology finance output level to construct a technology finance development evaluation system. Then, using the entropy method, panel data from the period 2000-2020 from China's 30 provinces was employed to assess the Economic Quality Development Index and the Technology Finance Development Index. The results show that provinces and cities with a good economic development level have a relatively high level of strong economic and technology finance development, including Beijing, Shanghai, and Jiangsu. Moreover, the results reveal a certain gap between different provinces. Multiple regression, static panel regression, dynamic panel regression, the static space Dubin model, the dynamic space Dubin model, and the semi-parametric space lag model were used to test the effect of technology finance on China's green high-quality development. This study found that technology finance has significantly enhanced green high-quality development of China's as a whole through a non-linear promotion effect. To better promote green high-quality development, the following measures are recommended: 1) improving the level of technological and financial development, 2) increasing the scale of government expenditures, 3) strengthening infrastructure construction, 4) accelerating the construction of new urbanization, and 5) improving the level of human capital. |
| https://www.frontiersin.org/articles/10.3389/fenvs.2022.888547/pdf |
Similar Articles
| ID | Score | Article |
|---|---|---|
32887
|
Ge, L; Zhao, HX; Yang, JY; Yu, JY; He, TY Green finance, technological progress, and ecological performance-evidence from 30 Provinces in China(2022)Environmental Science And Pollution Research, 29.0, 44 | |
| 32483
|
Yan, BX; Lyu, J How does an innovative decision-making scheme affect the high-quality economic development driven by green finance and higher education?(2023)Environmental Science And Pollution Research, 30, 54 | |
| 31368
|
Chen, X; Chen, ZG Can Green Finance Development Reduce Carbon Emissions? Empirical Evidence from 30 Chinese Provinces(2021)Sustainability, 13, 21 | |
| 31699
|
Xu, K; Zhao, PY Does Green Finance Promote Green Total Factor Productivity? Empirical Evidence from China(2023)Sustainability, 15, 14 | |
| 33674
|
Lu, Y; Ahmad, M; Zhang, HT; Guo, JX Effects of Science and Technology Finance on Green Total Factor Productivity in China: Insights from an Empirical Spatial Durbin Model(2024)Journal Of The Knowledge Economy, 15.0, 2 | |
| 62536
|
Chen, JY; Zhu, DD; Ren, XH; Luo, WJ Does digital finance promote the "quantity" and "quality" of green innovation? A dynamic spatial Durbin econometric analysis(2023)Environmental Science And Pollution Research, 30, 28 | |
| 30511
|
Chen, Y; Xu, SR; Farhan, A Investigating Spatial-Temporal Pattern And Inducing Factors To Green Technology Innovation And High- Quality Economic Development(2022)Prague Economic Papers, 31, 3-4 | |
| 31163
|
Yue, H; Zhou, ZZ; Liu, HW How does green finance influence industrial green total factor productivity? Empirical research from China(2024) | |
| 30544
|
Wang, WJ; Dong, YZ Spatial-temporal coupling and interactive effects of digital finance and green technology innovation: Empirical evidence from China(2024) | |
| 31147
|
Yang, QQ; Ye, ZH Green Finance Development and Carbon Emissions: Evidence from a Spatial Panel Data Analysis in China(2024)Polish Journal Of Environmental Studies, 33, 6 |