Empowering China's energy renaissance: Electrochemical storage strategies driving economic growth and policy evolution
Year: 2024
Type: article
Abstract: This study presents an innovative framework to examine the interplay between foreign direct investment and economic development from 1996 to 2021. Using the Panel NARDL approach, our study provides an empirical framework for exploring these complex relationships. We enhance the reliability of our results by integrating additional methodologies, such as augmented mean group and common correlated effects mean group. A decline in carbon emissions is commonly hypothesized to be correlated with economic expansion, foreign direct investment inflows, advancements in renewable energy, and implementation of environmental technologies. On the contrary, detrimental disturbances have the potential to result in protracted ecological deterioration, especially in situations where there are setbacks in economic expansion and foreign direct investment. It is worth noting that although short-run and long-run coefficients exhibit comparable directional trends, there are discrepancies in their magnitudes and levels of statistical significance. This sophisticated comprehension empowers countries such as China, among others, to allocate resources strategically towards sustainable energy initiatives, promoting a systematic approach that prioritizes the adoption of renewable energy, advancements in technology, attraction of foreign investment, and transformation of structures. • This study examines the interplay between foreign direct investment (FDI) and economic development from 1996 to 2021. • Using the Panel NARDL approach, our study provides an empirical framework for examining these complex relationships. • This sophisticated comprehension empowers countries to allocate resources strategically towards sustainable energy initiatives. • Detrimental disturbances have the potential to result in protracted ecological deterioration.
Source: Energy Strategy Reviews
Authors: Dan Yu, Zeyun Li, Abdul Sattar
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,260
OpenAlex ID: W4402666183
