On dynamic linkages of the state natural gas markets in the USA: Evidence from an empirical spatio-temporal network quantile analysis

Science of The Total Environment

Wang

et al. 2019

Self Cite

329

The study explores the impacts of renewable energy, environmental patents, economic growth 14 and other variables on the CO2 emission per capita from 2000 to 2013 for the BRIICS countries. Using 15 both the panel OLS methods and panel quantile regression method, we find that the effects of the 16 determinant variables are heterogeneous across quantiles. Specifically, renewable energy supply reduces 17 CO2 emissions per capita, with the strongest effect at the 95th quantile. Development of environmental 18 patents accelerates carbon emissions per capita, but only significantly affects the CO2 emissions per capita 19 at the upper tail of the conditional distribution. GDP per capita enhances CO2 emissions per capita, with 20 the most substantial effect in the 5th quantile. Exports increase carbon emissions per capita with an 21 asymmetric inverted U-sharped impact. Foreign direct investment reduces carbon emissions per capita, 22 but only significantly influences the carbon emissions per capita at the medium and upper of the 23 conditional distribution. Domestic credit to private sectors raises carbon emissions per capita with 24 gradually decreasing impacts along all quantiles. We propose several policy recommendations based on 25 the results. 26 27

Section: The Carbon Emission and Its Decisive Factors 86mentioning

confidence: 99%

Heterogeneous impacts of renewable energy and environmental patents on CO2 emission - Evidence from the BRIICS

Cheng

Science of The Total Environment

Wang

et al. 2019

Self Cite

329

“…The negative impacts of renewable energy on CO 2 emissions have been proved by many studies, such as Bilgili, Koçak, and Bulut (2016) and Paramati, Mo, and Gupta (2017). Meanwhile, natural gas is the cleanest fossil fuel (Dong et al, 2017; Ren, Lu, Cheng, Shi, & Shen, 2019). Although there is no consensus about the impacts of natural gas, that is, some scholars, like Saboori and Sulaiman (2013) and Ahmad et al (2016), claimed that natural gas has positive influences on the CO 2 emissions; other scholars, like Dong et al (2017), Li and Su (2017), and Dong, Sun, and Dong (2018) found that natural gas negatively affects the CO 2 emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

Spillover and dynamic effects of energy transition and economic growth on carbon dioxide emissions for the European Union: A dynamic spatial panel model

Sustainable Development

Cheng

Wang

et al. 2020

Self Cite

152

This paper introduces “spatial effects” and “dynamic effects” to investigate the influences of economic growth and energy transition on cross‐country CO2 emissions movements within the European Union (EU). We apply the fixed‐effects dynamic spatial Durbin error model to empirically gauge the magnitude of the spatial impacts and dynamic impacts for a sample of 26 EU countries throughout 1990–2015. By analyzing the empirical results, we conclude that: (1) Compared with dynamic spatial Durbin error model, the traditional dynamic panel model over‐estimates the parameters because traditional regression methods only capture the direct impacts, and neglect the indirect impacts. (2) A significant positive spatial spillover of CO2 emissions from neighboring countries to the local country is recognized, justifying the use of our spatial model. (3) Economic growth has positive impacts on CO2 emissions, while the spatial effects of economic growth exert negative impacts. Moreover, the total effects of economic growth are positive in both short‐term and long‐term. (4) Although the spatial effects of renewable energy are not significant, renewable energy has negative influences on CO2 emissions. (5) The impacts and spatial effects of natural gas are positive; therefore, its total effects are positive in both short‐run and long‐run. Based on our finding, we provide several policy recommendations, such as the emphasize of cooperation with CO2 reduction policies, the promotion of green economy and renewable energy, and the substitution of natural gas in the future.

“…The uniform low-carbon target has promoted stakeholders to pay increasingly large attention to the companies’ environmental performance. Accordingly, this results in the widespread concentration of individual companies on their social responsibility performance and environment-friendly behaviours (Park et al 2017 ; Ren et al 2019 ; Farah et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Crude oil price uncertainty and corporate carbon emissions

Wei

et al. 2021

Environ Sci Pollut Res

Self Cite

Low-carbon transformation has become a key priority in China, as demonstrated in the implementation of the Carbon Peak, Carbon Neutralization policy, leading to increasing concern of environmental performance at the corporate level. This paper measures the carbon emission of 1,089 Chinese companies through the EIO-LCA-based approach. Then we examine the impacts of international crude oil price fluctuations and the corporate development level on carbon emissions of individual companies. Our results indicate that an increase in international crude oil price uncertainty could inhibit the company’s carbon emission. In parallel, we find that there might exist an environmental Kuznets curve (EKC) inverted U-shaped correlation between the company’s development level and its environmental performance. However, some exceptions to corporate carbon performance may emerge, resulting from specific corporate characteristics such as the state-owned nature and whether the firm is listed on the stock exchange. Our results could help companies optimize their internal carbon emission structure during the low-carbon transition process and contribute to effective policy regulations towards the target of carbon reduction.