As the most populous country in world, China has a great shortage pressure of water resources. With acceleration urbanization, China’s usage different sectors will change significantly next few years. In order to investigate main reasons behind China, Logarithmic Mean Divisia Index (LMDI) model was adopted this paper from 2000 2020 with provincial data. Three effects, including that technology,...

A divisia index of total factor productivity (TFP) growth is calculated for each of 16 regulated local telephone companies operating in Tennessee over the years 1989 through 1993. Year over year changes in TFP, in Tornqvist form, yield a growth in total factor productivity estimate for each company. These growth rates, however, contain the effects of both scale and technical change. Using the m...

Since the reform and opening-up, under new economic situation policy, rapid growth of power demand in Beijing is threatening sustainable development China’s economy environment. To recognize driving factors electricity consumption offer policy implications, based on data consumption, Gross Domestic Product (GDP) resident population from 1990 to 2021, this research used Kaya-equation logarithmic...

Elucidating the correlation among tourism, CO2 emissions, and economic growth from a spatiotemporal standpoint is of utmost significance for tourism industry responding to China’s “double-carbon” goal. This study expansively uses bottom-up approach, Theil index, Exploratory Spatial Data Analysis (ESDA), Logarithmic Mean Divisia Index (LMDI) method calculate emissions (TE) at different spatial s...

Emissions of sulfur dioxide (SO(2)) from the U.S. power sector decreased by 24% in 2009 relative to 2008. The Logarithmic Mean Divisia Index (LMDI) approach was applied to isolate the factors responsible for this decrease. It is concluded that 15% of the decrease can be attributed to the drop in demand for electricity triggered by the economic recession, and 28% can be attributed to switching o...

The energy consumption of Korea’s manufacturing sector has sharply increased over the past 20 years. This paper decomposes the factors influencing energy consumption in this sector using the logarithmic mean Divisia index (LMDI) method and analyzes the specific characteristics of energy consumption from 1991 to 2011. The analysis reveals that the activity effect played a major role in increasin...

Tianjin is the largest coastal city in northern China with rapid economic development and urbanization. Energy-related CO2 emissions from Tianjin’s production and household sectors during 1995–2012 were calculated according to the default carbon-emission coefficients provided by the Intergovernmental Panel on Climate Change. We decomposed the changes in CO2 emissions resulting from 12 causal fa...