Do coal efficiency, climate policy uncertainty and green energy consumption promote environmental sustainability in the United States? An application of novel wavelet tools

Li, Xuan; Adebayo, Tomiwa Sunday; Ramzan, Muhammad; Ullah, Sami; Abbas, Shujaat; Olanrewaju, Victoria Olushola

doi:10.1016/j.jclepro.2023.137851

Cited by 79 publications

(9 citation statements)

References 68 publications

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“…Also, similar findings were reported in the study of Xu, Hussain, et al (2022) in E7 nations. But conflicts with the study by Liu, Kim Loan, et al (2023) and Liu, Ramzan, et al (2023), which found that NR mitigates EF in G7 nations.…”

Section: Empirical Results and Discussioncontrasting

confidence: 60%

“…Likewise, by adopting the time series dataset of China that covers the period between 1961 and 2016, Hussain et al (2022) detected that NR upsurges CO 2 and EF. Liu, Kim Loan, et al (2023) and Liu, Ramzan, et al (2023) established a conflicting outcome in an investigation done in G7 nations. The authors found that NR mitigates EF.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Studies exploring this link have not yet reached consistent conclusions. Some studies, such as Hossain et al (2023), Liu, Kim Loan, et al (2023), Liu, Ramzan, et al (2023), and Saud et al (2023), suggest that natural resources positively impact ecological quality. Conversely, other studies (such as: Adebayo, Ullah, et al, 2023, Adebayo, Ağa, & Kartal, 2023; Ahmad et al, 2020; Caglar et al, 2022) indicate that natural resources can contribute to a decline in ecological quality.…”

Section: Introductionmentioning

confidence: 99%

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Determinants of Load capacity factor in BRICS countries: A panel data analysis

Yang,

Magazzino,

Awosusi

et al. 2023

Natural Resources Forum

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Several developing markets, such as Brazil, Russia, India, China, and South Africa (BRICS), are facing challenges in attaining the targets set with regard to the Sustainable Development Goals (SDGs). While previous studies have extensively examined the Environmental Kuznets Curve in BRICS nations, focusing on other proxy of environmental degradation like CO2 emissions and ecological footprint, little attention has been given to the Load Capacity Curve (LCC) hypothesis specifically in relation to emerging economies. Consequently, there exists a gap in the literature regarding the validation of the LCC hypothesis for these economies. To bridge this gap, our research intends to assess the validity of the LCC hypothesis in the context of the BRICS countries. Specifically, we investigate the impact of biomass energy and social globalization on the load capacity factor (a proxy for ecological quality) in the BRICS countries from 1990 to 2018, while considering the roles of economic growth and natural resources. Additionally, we explore the development of an SDG framework tailored for the BRICS nations, which can serve as a blueprint for other emerging economies. To analyze the data, we employ the Method of Moments‐Quantile‐Regression (MMQR) approach along with long‐run estimators. The findings of the MMQR analysis reveal that natural resources, social globalization, and gross domestic product have adverse effects on ecological quality, while biomass energy exhibits a positive influence on ecological quality. Furthermore, our research validates the LCC hypothesis for the BRICS economies. We also observe evidence of causality between the load capacity factor and its determinants. Based on our investigation, we recommend a transition in energy policies from hydrocarbon energy to sustainable energy options by implementing innovative approaches to biomass technology that can enhance conversion efficiency. Implementing these policy changes will not only enhance ecological quality but also align the SDG targets.

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Section: Empirical Results and Discussioncontrasting

confidence: 60%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determinants of Load capacity factor in BRICS countries: A panel data analysis

Yang,

Magazzino,

Awosusi

et al. 2023

Natural Resources Forum

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“…Abundance of work has been done on CPU. Therefore, we can find CPU in the literature as determinant of non-renewable and renewable energy demand, environmental sustainability, total factors productivity of firms, and corporate investment (Gao & Zhang, 2023;Liu et al, 2023;Ren et al, 2022;Shang et al, 2022). However, according to our best approach, we have not found any study in the literature that highlights the liaison between CPU and RIP specifically in the context of America.…”

Section: Empirical Review and Hypothesis Developmentmentioning

confidence: 86%

“…This negative impact can be explained as high EPU leads to deter private sector investments aimed to enhance the innovation within the country. In the high CPU era, businesses and private investors may feel hesitation to allocate resources for R&D when they are unsure about the regulatory environment, making the expansion of innovative technologies more difficult (Huo et al, 2023;Liu et al, 2023). Moreover, an increase in climate uncertainty can lead to risk aversion among investors and innovators.…”

Section: Discussionmentioning

confidence: 99%

Climate policy uncertainty and regional innovation performance: New empirical evidence from the United States

Farooq,

Shafiq,

Subhani

et al. 2024

Manage Decis Econ

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This study aims to explore the empirical relationship between climate policy uncertainty (CPU) and regional innovation performance. The empirical analysis was conducted on 36 years of available data over the period 1987 to 2022 in the United States (US). By using an autoregressive distributed lag (ARDL) model for regression analysis, we examine the impact of CPU on two crucial indicators of innovation, namely, research and development (R&D) expenditures and patent applications (PTA). The empirical analysis reveals a significant negative effect of CPU on both R&D expenditures and PTA, suggesting that higher levels of climate uncertainty may hinder innovation activities in the regional context. A high CPU introduces hesitancy and risk aversion, impacting the allocation of resources, confidence in markets, and the willingness of businesses to pursue innovative endeavors. The negative effect remains consistent even after the inclusion of several control variables and robustness checks. The findings underscore the significance of a stable and supportive policy environment and economic conditions in promoting innovation. Overall, this research provides valuable empirical evidence on the interplay between CPU and innovation outcomes, offering insights for policymakers, businesses, and researchers seeking to navigate the complexities of climate‐related challenges and their impact on innovation. We did not find any study exploring the comparable impact of CPU on innovation.

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Estimating the impact of carbon inefficiency and overuse of energy on the economics of water companies: A case study for England and Wales

Maziotis,

Sala‐Garrido,

Mocholi‐Arce

et al. 2023

Sustainable Development

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In the face of climate change, it becomes crucial to motivate action and policies within water companies towards achieving carbon neutrality. Estimating the economic consequences of inaction can be a compelling catalyst for change. In this study, the carbon inefficiency and overuse of energy among a selection of English and Welsh water companies were assessed, along with their impact on the operational costs of producing and delivering drinking water over the period from 2010 to 2019. In doing so, a stochastic frontier analysis primal system was employed. The findings revealed that, on average, water companies exhibited a carbon inefficiency of 0.699. The overuse of energy relative to other inputs was estimated to be 71.4%. Consequently, water companies incurred a production cost increase of 0.089 £/m3. This research demonstrates that transitioning towards a low‐carbon urban water cycle is not merely an environmental beneficial endeavor; it also involves significant economic advantages.

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Do coal efficiency, climate policy uncertainty and green energy consumption promote environmental sustainability in the United States? An application of novel wavelet tools

Cited by 79 publications

References 68 publications

Determinants of Load capacity factor in BRICS countries: A panel data analysis

Determinants of Load capacity factor in BRICS countries: A panel data analysis

Climate policy uncertainty and regional innovation performance: New empirical evidence from the United States

Estimating the impact of carbon inefficiency and overuse of energy on the economics of water companies: A case study for England and Wales

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