Results 21 to 30 of about 566,947 (157)
LMDI decomposition analysis of total electricity consumption growth in Hunan province [PDF]
E3S Web of Conferences, 2021 In the past decade, as an important driving force of economic growth, the China’s electricity consumption growth rate has been decoupled from GDP growth rate. The economic reasons behind this abnormal phenomenon are worthy of further study.
Hu Bizheng +3 more
doaj +1 more source
The Residential Energy Cost Reduction Programme in Hungary [PDF]
Современная Европа, 2021 The article outlines the positive and negative effects as well as the policy context of Hungary’s residential energy cost reduction programme initiated in 2013.
Weiner C.
doaj +1 more source
Optimization Analysis of Energy Structure in Jinhua City, Zhejiang Province Based on Carbon Peak Constraints [PDF]
E3S Web of Conferences, 2023 As China's economic development has entered a new normal, it is in China’s self-interest to achieve carbon peaking before 2030. and the decomposition and analysis of the influencing factors of carbon emissions are not only conducive to predicting the ...
Hou Jiansheng +3 more
doaj +1 more source
Decomposition analysis on factors affecting electricity substitution in Guangdong province, China
IET Cyber-Physical Systems: Theory &Applications, Volume 8, Issue 4, Page 307-326, December 2023., 2023 This paper proposes a decomposition model of the factors affecting electricity substitution based on LMDI method to expand the depth and breadth of electricity substitution. Taking Guangdong province as an empirical object, we obtain quantitative decomposition results of the impact of each factor on electricity substitution.
Haobo Chen +5 more
wiley +1 more source
Rural - urban income gap and labour market in Romania [PDF]
SHS Web of Conferences, 2021 Rural – urban income gap is an important social-economic development indicator for a society. A large rural - urban income gap within a society reveals a split of it into two distinct societies, one extremely poor compared to the other.
Băncescu Irina
doaj +1 more source
Datasets for LMDI Decomposition Analysis of Air Pollutants in the Czech Republic from 1990 to 2016
, 2020 Datasets for LMDI Decomposition Analysis of Air Pollutants in the Czech Republic from 1990 to 2016. Dataset A - a dataset aggregated to 44 sectors covering all large combustion sources in R1comb, consistent from 1995 to 2016.
Rečka, Lukáš
core +2 more sources
Food Nitrogen Footprint Increased by 35% on the Third Pole During 1998–2018
GeoHealth, Volume 7, Issue 3, March 2023., 2023 Abstract The N footprint is considered as an indicator of potential environmental damage from N. Quantitative analysis of N footprint distribution, sources and drivers can help mitigate its negative impacts and promote sustainable N management. In this study, we constructed a city‐scale food N footprint (FNF) framework for the Qinghai‐Tibet Plateau ...
Fangfang Wang +7 more
wiley +1 more source
Advances in Civil Engineering, Volume 2023, Issue 1, 2023., 2023 In this paper, the factors causing the change in carbon emissions from direct energy consumption in the construction industry in Beijing–Tianjin–Hebei are decomposed using the logarithmic mean divisia index (LMDI) method to analyze the effect values and contribution rates of each macrofactor.
Wensheng Liu +4 more
wiley +1 more source
Using a Novel Fractal‐Time‐Series Prediction Model to Predict Coal Consumption
Discrete Dynamics in Nature and Society, Volume 2023, Issue 1, 2023., 2023 Currently, coal is still the main energy source for China’s economic development, and the environmental issues caused by coal consumption have aroused widespread concern. Predicting and analyzing coal consumption will help to formulate a higher level of energy consumption planning and economic development strategy.
Guodang Zhao +4 more
wiley +1 more source
Earth's Future, Volume 10, Issue 10, October 2022., 2022 Abstract The past three decades have witnessed the dramatic expansion of global biomass‐ and fossil fuel‐fired power plants, but the tremendously diverse power infrastructure shapes different spatial and temporal CO2 emission characteristics. Here, by combining Global Power plant Emissions Database (GPED v1.1) constructed in this study and the ...
Xinying Qin +10 more
wiley +1 more source