Climate policy uncertainty and environmental degradation: Does democracy moderate this relationship? DOI Creative Commons
Antonios Persakis, Ioannis Tsakalos, Vasileios Gkonis

и другие.

Cleaner Environmental Systems, Год журнала: 2024, Номер unknown, С. 100230 - 100230

Опубликована: Сен. 1, 2024

Язык: Английский

Comparative responses of renewable energy stock market to economic policy uncertainty and climate policy uncertainty shocks: Evidence from China DOI
Xiuqi Yang, Nie Jing

Review of Development Economics, Год журнала: 2024, Номер 29(1), С. 450 - 475

Опубликована: Июль 17, 2024

Abstract With rising climate policy uncertainty (CPU) and economic (EPU), it is crucial to analyze the factors influencing renewable energy stock market (RE) from a comprehensive perspective. Using data January 2009 May 2022, we use time‐varying parameter vector autoregressive model with stochastic volatility (TVP‐VAR‐SV) examine CPU, EPU, macroeconomic factors, RE in unified framework. We various responses of CPU EPU. Furthermore, test for differences impact four classifications EPU on RE. The findings are as follows. centered short term positive during non‐crisis periods. In contrast, negative term. addition, causal identification at micro level reveals that can increase by 0.932% average after being affected CPU. Further comparing find exchange rate has largest impact. Our study enriches investment theory It avoids biased interpretations uncertainties significant implication policymakers, firms, investors.

Язык: Английский

Процитировано

3
Do green innovation and governance limit CO2 emissions: evidence from twelve polluting countries with panel data decision tree model DOI Creative Commons
Aruna Kumar Dash,

Siba Prasada Panda,

Pritish Kumar Sahu

и другие.

Discover Sustainability, Год журнала: 2024, Номер 5(1)

Опубликована: Авг. 16, 2024

We examine the effectiveness of green innovation on CO2 emissions in top twelve polluting nations—China, US, India, Russia, Japan, South Korea, Canada, Mexico, Turkey, Italy, Poland, and UK—from 1996 to 2020. Using panel data fixed random effect model decision tree analysis, we found that industrialization, urbanization, economic growth increase emissions, whereas energy consumption governance decrease emissions. In tree-based model, is second third positions fixed, model. Green not statistically significant despite expected negative sign. The findings suggest policymakers should encourage investment production combat environmental degradation. Investment be escalated ensure efficiency long term.

Язык: Английский

Процитировано

3
The role of biodiversity and energy transition in shaping the next techno-economic era DOI

Shen Li-hua,

Jianan Zhou

Technological Forecasting and Social Change, Год журнала: 2024, Номер 208, С. 123700 - 123700

Опубликована: Авг. 28, 2024

Язык: Английский

Процитировано

3
Asymmetric spillovers and resilience in physical and financial assets amid climate policy uncertainties: Evidence from China DOI

Guo Wu,

Guoheng Hu

Technological Forecasting and Social Change, Год журнала: 2024, Номер 208, С. 123701 - 123701

Опубликована: Авг. 28, 2024

Язык: Английский

Процитировано

3
Climate policy uncertainty and environmental degradation: Does democracy moderate this relationship? DOI Creative Commons
Antonios Persakis, Ioannis Tsakalos, Vasileios Gkonis

и другие.

Cleaner Environmental Systems, Год журнала: 2024, Номер unknown, С. 100230 - 100230

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

3