International Review of Financial Analysis, Год журнала: 2025, Номер unknown, С. 104175 - 104175
Опубликована: Апрель 1, 2025
Язык: Английский
International Review of Financial Analysis, Год журнала: 2025, Номер unknown, С. 104175 - 104175
Опубликована: Апрель 1, 2025
Язык: Английский
International Review of Financial Analysis, Год журнала: 2025, Номер 102, С. 104046 - 104046
Опубликована: Фев. 28, 2025
Язык: Английский
Процитировано
2Economic Analysis and Policy, Год журнала: 2023, Номер 80, С. 1666 - 1676
Опубликована: Ноя. 7, 2023
Язык: Английский
Процитировано
19Risk Analysis, Год журнала: 2023, Номер 44(3), С. 566 - 581
Опубликована: Июль 12, 2023
Abstract To explore whether climate risk (CR) affects renewable energy technological innovation (RETI) and its boundary conditions, this study examines the relationship between CR RETI as moderated by institutional environment. Based on panel data of 60 countries for period 2000–2019, we show that is not conducive to RETI, negative marginal impact shows an inverted U‐shaped trend with improvement RETI. Heterogeneity analysis floods storms have greatest impacts innovations in solar wind technologies are more vulnerable adverse shocks CR. Furthermore, has a greater effect developing than developed countries. However, environment, especially economic can work mitigate Our findings only enrich research consequences but also provide effective ways from perspective
Язык: Английский
Процитировано
18Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122494 - 122494
Опубликована: Сен. 14, 2024
Язык: Английский
Процитировано
9Energy and Climate Change, Год журнала: 2024, Номер 5, С. 100134 - 100134
Опубликована: Апрель 22, 2024
Язык: Английский
Процитировано
8Energy, Год журнала: 2024, Номер unknown, С. 132968 - 132968
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
8Energy & Environment, Год журнала: 2025, Номер unknown
Опубликована: Фев. 18, 2025
This paper discusses the uncertainty spillover among climate policy, economic energy market and geopolitics, using time-varying parameter vector autoregression (TVP-VAR) connectedness approach. The major results show that total index (TCI) is dominated by long-term in static analysis. main transmitters are policy China (CPUC) (EPU) while receivers USA (CPUS) energy-related (ERU) when considering time frequency. Next, dynamic analysis, TCI exhibits a downward trend, net directional indicates CPUC still pure transmitter, CPUS plays completely opposite role. Finally, pairwise analysis shows exerts spillovers on EPU, ERU geopolitical risk. Conversely, more likely to accept shock of other uncertainties. contribution different uncertainties incorporated into unified research framework, explain detailed influencing channels. More importantly, this recognizes roles entire with frequency, argue reshaping global economy, situation. Some policies, including prudent firm international cooperation, depoliticization climate-related decisions, provided for promoting development, stabilizing tensions.
Язык: Английский
Процитировано
1Renewable Energy, Год журнала: 2025, Номер unknown, С. 122751 - 122751
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1International Review of Financial Analysis, Год журнала: 2025, Номер unknown, С. 104055 - 104055
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1Technological Forecasting and Social Change, Год журнала: 2024, Номер 206, С. 123541 - 123541
Опубликована: Июнь 25, 2024
Язык: Английский
Процитировано
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