An analysis of energy-related greenhouse gas emissions in the Chinese iron and steel industry

Energy-related GHG emission in agriculture of the European countries: An application of the Generalized Divisia Index

Modeling of energy consumption and related GHG (greenhouse gas) intensity and emissions in Europe using general regression neural networks

A review of CO2 emissions reduction technologies and low-carbon development in the iron and steel industry focusing on China

Major US electric utility climate pledges have the potential to collectively reduce power sector emissions by one-third

Economic potential for substitution of fossil fuels with liquefied biomethane in Swedish iron and steel industry – Synergy and competition with other sectors

Trajectory, driving forces, and mitigation potential of energy-related greenhouse gas (GHG) emissions in China's primary aluminum industry

This study examined renewable energy, energy efficiency which is very essential to boost up environmental quality. This research also takes other factors which has impact on greenhouse gas emissions in the BRICS nations between 2000 and 2019. On the other hand, this research differs from previous research in that it considers the impact of Energy Efficiency and Renewable Energy Electricity on greenhouse gas emissions in BRICS economies, despite the fact that Energy Efficiency and Renewable Energy Electricity have the greatest impact on greenhouse gas emissions in BRICS economies. The influence of GDP and political risk index on energy-related greenhouse gas emissions also comes under the scope of this study. Further, the order of unit root was determined using cross-sectional dependency and slope heterogeneity. The results were achieved utilising moment quantile regression (MMQ). The analysis shows that GDP causes an increase in Energy-Related Greenhouse Gases (ERGHG) at the 25th, 50th, 75th and 90th quantiles. At the 25th, 50th, 75th and 90th quantiles, however, Energy Efficiency and Renewable Energy Electricity reduce Energy-Related Greenhouse Gases. Furthermore, political risk index reduces Energy-Related Greenhouse Gas emissions. Moreover, policymakers should investigate the asymmetric behaviour of Energy Efficiency, Electricity from Renewable Energy and GDP when adopting BRICS economies energy, environment and growth policies based on empirical data.

Greenhouse gas emissions investigation for towns in China: a case study of Xiaolan

In the current time, the most distressing issue is emissions control and environmental recovery. All developed and developing economies are rapidly expanding their industrial sector and increasing energy use while struggling for environmental sustainability. This study aims to analyse whether renewable energy helps BRICS economies reduce energy related emissions. Also, the role of economic growth, research and development, and public–private partnership investment in energy is investigated during the period from 1990 to 2020. Using various panel data instruments, the results illustrate the slopes heterogeneity, panel cross-section dependence, and the long-run co-integration association between the variables. Using the novel method of moment quantile regression, this study found that economic growth adversely affects environmental quality by triggering energy related emissions. However, renewable energy consumption, research and development, and public–private partnership investment in energy significantly reduce energy related emissions in the region at all quantile (25th, 50th, 75th and 90th). Besides, this study found bidirectional causal nexus between economic growth, renewable energy, research and development, and the energy related greenhouse gas emissions, while unidirectional causality from public–private partnership investment to energy related emissions. Some relevant policies are suggested that could help tackle the issue of energy related emissions.

The impact of urban compactness on energy-related greenhouse gas emissions across EU member states: Population density vs physical compactness

Features, trajectories and driving forces for energy-related GHG emissions from Chinese mega cites: The case of Beijing, Tianjin, Shanghai and Chongqing

Uncovering driving forces on greenhouse gas emissions in China’ aluminum industry from the perspective of life cycle analysis

Comparison of greenhouse gas emission accounting methods for steel production in China

Every country in the world is striving to deal with climate change such as global warming and environmental pollution caused by greenhouse gas emission as well as the depletion of fossil fuel including oil, coal, gas, etc. Countries have set long-term greenhouse gas emission reduction targets in this effort. Korea announced its goal to reduce the national greenhouse gas in medium- and long-term by 25.7% of the observed value of 2030 greenhouse gas emission (BAU) in 2011, and set to reduce the greenhouse gas by 18.2% in the building sector. In addition, according to IPCC (Intergovernmental Panel on Climate Change), greenhouse gas emission in the building sector takes up about 19% of entire emission, a very high percentage along with 31% from the industry sector. This paper calculates the national and building sector greenhouse gas emission based on energy consumption statistics, in order for Korea to achieve Post-2020 greenhouse gas reduction target, predict building sector’s greenhouse gas emission, and implement and reduction policy. The greenhouse gas emission from buildings is about 124.9 million ton CO2equivalent as of 2015, taking up about 20% of greenhouse gas emission in Korea’s entire sectors, and decreased in 1998 from 105.0 million ton CO2eq in 1997. However, the greenhouse gas emission consistently increased from 119.3 million ton CO2eq in 2007 to 127.1 million ton CO2eq in 2010 and 127.3 million ton CO2eq in 2013.

Mitigation paths for Chinese iron and steel industry to tackle global climate change