Toward low‐carbon emissions and green growth for sustainable development in emerging economies: Do green trade openness, eco‐innovation, and carbon price matter? DOI
Muhammad Tariq, Yingzhi Xu, Kifayat Ullah

и другие.

Sustainable Development, Год журнала: 2023, Номер 32(1), С. 959 - 978

Опубликована: Авг. 8, 2023

Abstract Due to substantial development in emerging economies over the last three decades, climate complexities are increasing which have posed serious threats environmental quality and sustainability. To this end, eco‐innovation, green trade openness (GTO), carbon price been recognized as effective tools for mitigation promotion of growth (GG) core COP 26, Sustainable Development Goals 2030, Carbon Neutrality by 2060. Considering this, aim study is investigate influence GTO, on GG low‐carbon emissions period 1996–2021. The current provides a standard Solow model introducing new index using entropy weight method. This incorporates 30 indicators across five dimensions emphasizes essential roles investigated factor. Additionally, GTO utilizing an extensive trading basket 255 commodities. cross‐sectional dependency, slope heterogeneity models, used dynamic heterogeneous panel data estimation techniques that is, based augmented nonlinear autoregressive distributed lag, mean group probe asymmetric effects. outcomes from empirical analysis reveal positive shocks innovation, price, energy mitigate promote economic while negative these variables cause degradation reduce economies. Finally, policy insight, suggests makers should invigorate stimulate innovation energy, implement mechanisms, establish balance between protection growth.

Язык: Английский

The impact and transmission mechanisms of financial agglomeration on eco-efficiency: Evidence from the organization for economic co-operation and development economies DOI

Shibo Cui,

Zixuan Wang

Journal of Cleaner Production, Год журнала: 2023, Номер 392, С. 136219 - 136219

Опубликована: Фев. 1, 2023

Язык: Английский

Процитировано

34

Do pro-environmental interventions matter in restoring environmental sustainability? Unveiling the role of environmental tax, green innovation and air transport in G-7 nations DOI
Atif Jahanger, İlhan Öztürk, Joshua Chukwuma Onwe

и другие.

Gondwana Research, Год журнала: 2023, Номер 127, С. 165 - 181

Опубликована: Июль 18, 2023

Язык: Английский

Процитировано

34

How does geopolitical risk affect CO2 emissions? The role of natural resource rents DOI
Limei Chen, Giray Gözgör, Mantu Kumar Mahalik

и другие.

Resources Policy, Год журнала: 2023, Номер 87, С. 104321 - 104321

Опубликована: Ноя. 4, 2023

Язык: Английский

Процитировано

32

The nonparametric causal effect of sustainable governance structure on energy efficiency and ecological footprint: A pathway to sustainable development DOI
Yunpeng Sun,

Pengpeng Gao,

Syed Ali Raza

и другие.

Gondwana Research, Год журнала: 2023, Номер 121, С. 383 - 403

Опубликована: Май 18, 2023

Язык: Английский

Процитировано

31

Toward low‐carbon emissions and green growth for sustainable development in emerging economies: Do green trade openness, eco‐innovation, and carbon price matter? DOI
Muhammad Tariq, Yingzhi Xu, Kifayat Ullah

и другие.

Sustainable Development, Год журнала: 2023, Номер 32(1), С. 959 - 978

Опубликована: Авг. 8, 2023

Abstract Due to substantial development in emerging economies over the last three decades, climate complexities are increasing which have posed serious threats environmental quality and sustainability. To this end, eco‐innovation, green trade openness (GTO), carbon price been recognized as effective tools for mitigation promotion of growth (GG) core COP 26, Sustainable Development Goals 2030, Carbon Neutrality by 2060. Considering this, aim study is investigate influence GTO, on GG low‐carbon emissions period 1996–2021. The current provides a standard Solow model introducing new index using entropy weight method. This incorporates 30 indicators across five dimensions emphasizes essential roles investigated factor. Additionally, GTO utilizing an extensive trading basket 255 commodities. cross‐sectional dependency, slope heterogeneity models, used dynamic heterogeneous panel data estimation techniques that is, based augmented nonlinear autoregressive distributed lag, mean group probe asymmetric effects. outcomes from empirical analysis reveal positive shocks innovation, price, energy mitigate promote economic while negative these variables cause degradation reduce economies. Finally, policy insight, suggests makers should invigorate stimulate innovation energy, implement mechanisms, establish balance between protection growth.

Язык: Английский

Процитировано

31