November 8, 2023 By Marcus Lu Article/Editing: Bruno Venditti Twitter Facebook LinkedIn Reddit Pinterest Email Visualizing All The World’s Carbon Emissions By Country The greenhouse effect, essential for sustaining Earth’s life-friendly temperatures, has been intensified by burning fossil fuels. ...
This paper aimed to discuss the impact of structural changes on per capita carbon emissions from the four aspects of energy, trade, society and economy, while considering the effects of economic growth and energy intensity. The ordinary least squares, fully modified ordinary least squares regression...
In the full model that includes various control variables and a lagged dependent variable, CO2 emissions per capita decrease by 0.16 metric tons more for each year a country has a dedicated climate ministry. In sum, these findings indicate that introducing a climate ministry does neither lead to...
by the Cahora Bassa dam and hence carbon-free. The percentage of thermal energy in all electricity sold by the national utility EDM is merely 0.23%. As a result, per capita CO2emissions of 0.1 metric tons are much lower than the average for Sub-Saharan African developing countries (SSA) ...
Rapid economic growth in China has seen the country’s CO₂ emissions more than triple since 2000 to more than 11 GtCO₂ per year.
(3) Based on the decomposition, the factors that affected per-capita carbon emissions in the panel co-integration test showed that Central China had the best energy structure elasticity in its regional per-capita carbon emissions. Thus, Central China was ranked first for energy efficiency ...
The emissions of China's carbon dioxide can be traced to five main sectors: energy, manufacturing, transportation, agriculture and construction. Its energy and manufacturing sectors are leading sources of its carbon emissions. The country will have to dramatically increase its use of renewable energy...
This study thus can serve as a reference for implementing the priority-peak policy in the country. Third, the study emphasized the importance of interprovincial closely cooperation in terms of CO2 emissions in complex networks for achieving the national carbon peak target. By innovatively introducing ...
GDP per capita and time variables. The model applies the same relationship of wood consumption to each country’s estimated future population and per capita income growth, but starts with each country’s initial consumption of each category of wood product in recognition that countries have developed...
This study explored the nonlinear causality between variables by the method of panel threshold regression analysis, using per capita ecological footprint and per capita carbon emissions as the explained variables, renewable energy consumption as the explanatory and threshold variable, and GDP per capita,...