Suchergebnisse

Coal-based thermal power generation has long been the main source of power generation in the mainland of China. The efficiency of power generation is an important factor that determines the energy conservation and emission reduction as well as the sustainable development of the power industry in China. By comparing the regional differences of 30 provinces in the mainland from 2013 to 2017, this study uses the Super-DDF model and the TFEE to comprehensively evaluate the energy efficiency of thermal power generation. Empirical results: Overall efficiency: eastern efficiency (1.181) is the highest, followed by western (0.956), central (0.951) and northeastern (0.926). Total factor energy efficiency: eastern efficiency (0.923) is the highest, followed by western (0.754), central (0.742) and northeastern (0.710). The government and power industry managers should fully consider the regional differences in the field of thermal power generation when formulating policies so as to improve the power efficiency and promote the green development of power industry in China. Based on the analysis results, although the coal-fired power industry is more mature than other alternative energy industries, the expansion of thermal power generation cannot be considered if CO2 emissions are to be reduced. Additionally, the market share and competitiveness of the local power industry can be increased based on the different conditions of the resource endowments of each region.

PurposeThe study aims to estimate Green Total Factor Productivity (GTFP) and green efficiency in Jordan.Design/methodology/approachThis study used the Super-SBM model.FindingsThe study found significant progress in green factor productivity from 2014 to 2022, more significant than the total ordinary productivity. Also, environmental efficiency rebounded to reach its peak in the period from 2020 to 2022, where the efficiency value reached one, which can be attributed to the government's adoption of many policies focusing on using green energy methods in production processes, especially in the use of solar energy and waste recycling, and the use of energy-saving machines, particularly encouraging the use of electric cars.Originality/valueThe primary contribution of this study can be summarized in evaluating the results of growth calculation with the results of the Super-SBM model to calculate green efficiency by identifying appropriate and undesirable outputs. This provides a new perspective in studying GTFP and fills the gap in the theoretical understanding of green development strategy.

AbstractBased on an analysis of the relationship between green finance and total factor carbon emission reduction efficiency, this article measures the levels of green finance and total factor carbon emission reduction efficiency in 30 provinces and cities in China. It also establishes a spatial Durbin model to quantitatively explore the impact of green finance on China's total factor carbon emission reduction efficiency. The results indicate that currently, green finance and total factor carbon emission reduction efficiency in China follow a distribution pattern of high in the east, medium in the central region, and low in the west. The impact of green finance on total factor carbon emission reduction efficiency demonstrates a U-shaped relationship, and the spatial spillover effect between the two displays a similar U-shaped trend. The mechanism analysis demonstrates that green finance exerts a U-shaped influence on the efficiency of reducing total factor carbon emissions through the interplay of technological progress and technical efficiency enhancements. Other variables, such as research and development investment, comprehensive energy consumption, human capital, infrastructure construction, and government regulation, also have an impact on total factor carbon emission reduction efficiency. Therefore, it is recommended that regions strengthen their green finance initiatives, support efforts to carbon emission reduction, and contribute towards achieving the "dual-carbon" goal.