This paper analyzes the changes in carbon dioxide (CO2) emissions related to energy consumption Polish agricultural sector between 2000 and 2019. Based on Logarithmic Mean Divisia Index (LMDI), CO2 are viewed context of six factors, i.e., emission intensity, substitution fossil fuels, penetration renewable energies, labor productivity number employees. The analysis demonstrated that total decli...

Based on the logarithmic mean Divisia index (LMDI) approach, this paper presents a decomposition analysis of China’s energy-related industrial CO2 emissions from 1985 to 2007, as well as a comparative analysis of differential influences of various factors on six sectors. Via the decomposition, five categories of influencing factors are included: (1) Per capita GDP (PCG) was the largest positive...

The world’s sustainable growth is being severely hampered by the inefficient use of water resources. Despite widely acknowledged importance trade in global and regional food security, societal reliance on local production, as well international trade, remains inadequately assessed. Therefore, using South Korea a case study, this study fills research gap applying virtual concept, logarithmic mea...

Carbon emissions research based on regional perspective is necessary and helpful for China to achieve its reduction targets. This research aims at analyzing the energy-related carbon emissions and finding out the most important driving forces for the carbon emissions increments in Guangdong province. LMDI (Logarithmic Mean Divisia Index) method based on the extended Kaya identity has been used ...