Results 141 to 150 of about 7,599,466 (164)

Cost-effective strategies can reduce water and energy requirements in China's wastewater treatment by 2035. [PDF]

open access: yesNat Commun
Han S   +13 more
europepmc   +1 more source

Carbon Emissions in the Yellow River Basin: Analysis of Spatiotemporal Evolution Characteristics and Influencing Factors Based on a Logarithmic Mean Divisia Index (LMDI) Decomposition Method

open access: yesSustainability, 2022
The “14th Five-Year Plan” period is a critical period and a window to obtain emission peak and carbon neutrality in China. The Yellow River Basin, a vital location for population activities and economic growth, is significant to China’s emission peak by 2030.
Qian Zhou, Xinyue Xie
exaly   +3 more sources

Carbon Emissions and Socioeconomic Drivers of Climate Change: Empirical Evidence From the Logarithmic Mean Divisia Index (LMDI) Base Model for China [PDF]

open access: yesSustainability, 2022
The main objective of the present study was to examine the impact of socioeconomic factors on environmental degradation or preservation using the logarithmic mean disivia index (LMDI). The study used the latest data from thirty Chinese provinces from 2012 to 2020.
Ishtiaq Ahmad   +2 more
exaly   +3 more sources

Carbon Reduction Countermeasure From a System Perspective for the Electricity Sector of Yangtze River Delta (China) by an Extended Logarithmic Mean Divisia Index (LMDI)

open access: yesSystems, 2023
The electricity sector is a complex system, especially in the Yangtze River Delta (YRD) of China. Thus, the carbon dioxide (CO2) emission of YRD’s electricity sector during 2000–2020 was first calculated and then evaluated from two systematical dimensions of cross-region and the whole process (production, trade, transmission, and consumption) by an ...
Junsong Jia, Lin Wang, Jianfeng Chen
exaly   +4 more sources

Tracking European Union CO2 Emissions Through LMDI (Logarithmic-Mean Divisia Index) Decomposition. The Activity Revaluation Approach

Energy, 2014
Abstract Aggregate CO2 emitted to the atmosphere from a given region could be determined by monitoring several distinctive components. In this paper we propose five decomposition factors: population, production per capita, fuel mix, carbonization and energy intensity. The latter is commonly used as a proxy for energy efficiency.
Manuel Landajo Álvarez
exaly   +2 more sources

Using a New Generalized LMDI (Logarithmic Mean Divisia Index) Method to Analyze China's Energy Consumption

Energy, 2014
Abstract As one of the largest energy consumer in the world, China has been facing great pressure to guarantee energy supply security. Investigating the driving forces dominating China energy consumption levels and their evolution may help to institute energy saving policy.
Wenwen Wang, Ming Zhang, Xuefeng Song
exaly   +2 more sources

Using Logarithmic Mean Divisia Index Method (LMDI) to Estimate Drivers to Final Energy Consumption and Emissions in ASEAN [PDF]

open access: yesIOP Conference Series: Materials Science and Engineering, 2021
Abstract The ASEAN is currently trying to mitigate the amount of CO2 emissions per country. This is not only to contribute to the worldwide goal of lessening greenhouse gases, but to also ensure the safety of its member states by combatting the effects of climate change.
E B Lisaba, N S Lopez
exaly   +2 more sources

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