| Title | Impact of natural resource dependence on green technology development: Role of digital governance in mitigating resource-curse using big data |
|---|---|
| ID_Doc | 31761 |
| Authors | Gao, PF; Li, ZY; Shi, RB |
| Title | Impact of natural resource dependence on green technology development: Role of digital governance in mitigating resource-curse using big data |
| Year | 2024 |
| Published | |
| Abstract | The pursuit of a green economy as a strategy to counteract the "resource curse' phenomenon represents a burgeoning paradigm shift. A sophisticated digital governance infrastructure is vital, serving as an integral mechanism for ensuring transparency, enhancing data efficacy, and fostering public involvement-all crucial components of sustainable environmental stewardship. In light of this context, our analysis examines the interplay between natural resource dependence and green technological innovation, as well as delineating the potential pathways interlinking the two, through an empirical assessment using provincial data from China spanning the years 2011-2021. Employing advanced techniques in big data text mining, we have devised a government digital transformation index calibrated to elucidate the impacts of digitalization on the twin variables of natural resource reliance and the propagation of green technologies. Our findings indicate a marked deleterious influence of natural resource dependence on the evolution of green technological initiatives at the regional level, a trend most pronounced in China's central and western provinces as well as in locales with comparatively low economic development metrics. Furthermore, our research ascertains that the impeding force of natural resource dependence on green technology ascension is primarily exercised through diminished regional research and development capabilities, stagnation of industrial structure progression, and limited openness to external economic integration. Finally, the study posits that the implementation of digital governance measures holds the capability to substantially mitigate the restrictive impact of natural resource dependence on green technology advancement. This underscores the imperative for a digital governance architecture that actively neutralizes and meticulously monitors the adverse outcomes associated with resource consumption. |
Similar Articles
| ID | Score | Article |
|---|---|---|
62168
|
Ran, QY; Yang, XD; Yan, HC; Xu, Y; Cao, JH Natural resource consumption and industrial green transformation: Does the digital economy matter?(2023) | |
| 62510
|
Zhou, Y Natural resources and green economic growth: A pathway to innovation and digital transformation in the mining industry(2024) | |
| 30879
|
Chen, K; Li, QY; Shoaib, M; Ameer, W; Jiang, T Does improved digital governance in government promote natural resource management? Quasi-natural experiments based on smart city pilots(2024) | |
| 35644
|
Guo, QZ; Yao, NZ; Ouyang, Z; Wang, YL Digital development and innovation for environmental sustainability: The role of government support and government intervention(2024)Sustainable Development, 32, 4 | |
| 30440
|
Xu, Y; Liu, X; Yang, L; Yang, XD; Yan, HC; Ran, QY Exploring the impact of natural resource dependence on green technology innovation: New insights from China(2023) | |
| 32234
|
Hu, J; Li, QY From bits to green: Unraveling the digital economy's influence on natural resource efficiency(2024) | |
| 62429
|
Li, MJ; Meng, MJ; Chen, YH The impact of the digital economy on green innovation: the moderating role of fiscal decentralization(2024)Economic Change And Restructuring, 57, 2 | |
| 35673
|
Hao, XL; Miao, ER; Sun, QY; Li, K; Wen, SF; Xue, Y The impact of digital government on corporate green innovation: Evidence from China(2024) | |
| 62157
|
Razzaq, A; Yang, XD Digital finance and green growth in China: Appraising inclusive digital finance using web crawler technology and big data(2023) | |
| 32899
|
Guo, JJ; Shen, X Does Digitalization Facilitate Environmental Governance Performance? An Empirical Analysis Based on the PLS-SEM Model in China(2024)Sustainability, 16.0, 7 |