Assessing Hybrid Solar-Wind Potential for Industrial Decarbonization Strategies: Global Shift to Green Development

In this study, we examine the contribution of nuclear, fossil (coal, oil, and gas), and renewable (hydro, solar, wind, biofuel) electricity sources to pollution in the globalization era, as measured by total greenhouse gases (GHG) produced by electricity per capita. We conduct an empirical investigation in a global panel of 163 countries which assesses both the concurrent and individual effects of alternative energy sources. Additionally, we implement a second model to assess the roles of various electricity sources on the carbon intensity of electricity generation. Robust GMM estimators show that fossil electricity is a major polluter and a driver of carbon intensity. Furthermore, nuclear and renewable energy reduce pollution on a global scale, with wind emerging as the most efficient energy source in the global fight against pollution and climate change. Moreover, globalization as measured by trade openness tends to reduce the carbon intensity of electricity production (CI), whereas biofuels have an increasing impact on CI. The findings have important policy implications, indicating that shifting to nuclear and renewable energy sources could help countries achieve their sustainable development goals more efficiently.

Section: Discussionsupporting

confidence: 87%

The role of distinct electricity sources on pollution abatement: Evidence from a wide global panel

Horobet

Tudor

Belascu

et al. 2022

“…However, there is still a need to further explore the internal or external factors which will affect TC and EC in the future in order to obtain a clearer understanding of the generation and elimination of interregional differences in DCEEIE. Finally, although increasing DCEEIE is an important way to reduce carbon emissions, the most fundamental and effective way to achieve green development is to increase the use of hybrid and renewable energy sources and reduce the use of fossil fuels (Abbasi et al, 2021a;Khan et al, 2021). Therefore, future research should focus on how to trigger and accelerate the transformation of energy infrastructure from fossil fuel use to hybrid and clean energy use at the source.…”

Section: Discussionmentioning

confidence: 99%

Regional differential decomposition and the formation mechanism of the dynamic carbon emissions efficiency of industrial energy in China

Tang

Liu³

et al. 2022

Industrial carbon emissions efficiency requires a balance between economic development and carbon reduction to be achieved through structural adjustment and technological change, which is the key to low-carbon economic development and the essence of China’s carbon reduction commitment. Existing research has focused more on static carbon emission efficiency and provides insufficient analysis of the internal causes of inter-regional differences in carbon emission efficiency. This paper aims to fill this gap in the existing research. The data of 30 provinces in China, obtained from the Chinese Official Statistical Yearbook, were taken as the sample. We accurately measured the dynamic carbon emission efficiency of industrial energy (DCEEIE) in China by combining the three-stage slacks-based measure data envelopment analysis (SBM-DEA) model and the Malmquist-Luenberger model. This study further uses Dagum’s Gini coefficient decomposition and the panel vector auto regression (PVAR) model to empirically estimate regional differences in DCEEIE and the effects of its internal structure. The results show, first, that DCEEIE in China is increasing, and that overall energy efficiency is at a high level. Although both efficiency change and technological change are fundamental to efficiency, an attenuation of efficiency and a diffusion of technology are evident. Second, the total Gini coefficients of dynamic efficiency, efficiency change (EC), and technological change (TC) are all decreasing; regional differences and transvariation intensity are the main reasons for long-term gaps. Third, TC improves dynamic efficiency in the initial stages, but the main driving force in the long run is EC. The limitation of this paper is that we do not fully discuss the external factors which might impact TC and EC, nor do we continue the discussion on how to transform the energy mix by improving carbon efficiency, which is the future direction for green development. These issues represent avenues for future research.

“…The sustainable practices of CSR implementation require enterprises to consider stakeholders' interests, including consumers, society, and the environment, while performing their production operations (Golinska-Dawson and Spychała 2018; Awan et al, 2019;Yang et al, 2019;Ikram et al, 2021). In recent times, business firms have faced increasing internal and external coercion to enhance non-financial performance and different dimensions, such as environmental protection challenges, social welfare, employee interest, and acceptable employment practices (Awan et al, 2020;Bhutto et al, 2021;Cheng et al, 2021;Rashid Khan et al, 2021). Scholars have debated sustainability issues converged by various stakeholders, policymakers, and investors (Begum et al, 2021a;Begum et al, 2021b;Ikram et al, 2021;Awan and Sroufe 2022).…”

Section: Sustainable Practices Of Corporate Social Responsibility And...mentioning

confidence: 99%

Tax Avoidance Culture and Employees' Behavior Affect Sustainable Business Performance: The Moderating Role of Corporate Social Responsibility

Al-Sulaiti

Dongling

et al. 2022

Employees' behavior and corporate social responsibility (CSR) can affect firms’ profitability and increase the corporate economic burden. This current research endeavors to explore how business firms navigate employees' technology-driven behavior and CSR sustainable practices for tax avoidance to affect firms’ performance. This study examines how CSR sustainable practices moderate the relationship between employees' behavior and tax avoidance to achieve sustainable business performance. The study incorporated the Maximum Likelihood Estimator (MLE) for the purpose of data analysis using the structural equation modeling (SEM) technique that is suitable for this sample size. The study’s target population is employees of small and medium enterprises located in Pakistan. The study has drawn a sample of employees and applied a convenience sampling technique. The findings show that tax avoidance, employee behavior, and corporate social responsibility positively affect business firms’ performance. The results further indicate that sustainable CSR practices significantly moderate tax avoidance’s effect on business firms’ performance. However, there is no condition to identify the relationship between employee behavior and firm performance. In theory, this research contributes to the corporate strategy literature by answering how corporate social responsibility sustainable practices mediate the relationship between tax avoidance, employees' behavior, and sustainable business performance. It shows that socially responsible organizations will engage less in tax avoidance behaviors. The results exhibit that the study provides a systematic, holistic framework to attain sustainable firms’ performance. The findings' generalizability offers future direction with helpful insights for business managers and policymakers.