نتایج جستجو برای: lmdi
تعداد نتایج: 211 فیلتر نتایج به سال:
China has been placing a substantial focus on biogas for reducing energy consumption and carbon dioxide (CO2) emissions. The operation mode of systems may make the CO2 reduction target over-optimistic. There is limited research to investigate influential factors that be causing gap between actual theoretical costs in China. In this research, by using field survey data 209 users 489 non-biogas f...
Electricity consumption is a crucial source of carbon emissions. Many studies have focused on the emissions relevant to electricity generation, yet it also important evaluate intensity final use for emission assessment various industries. Considering fossil fuel consumption, regional exchange, and transmission loss, this study proposed method assess intensities supply, use. Based statistical da...
The Yellow River Basin assumes an important ecological and economic function in China. study of carbon emissions from land use the nine provinces (regions) pathway is to achieve reduction. Based on dynamic data use, energy, changes for past 30 years 1990 2018, this analyzed spatial temporal evolution characteristics land-use by using emission coefficient method IPCC inventory evaluating low-car...
China's industry accounts for 46.8% of the national Gross Domestic Product (GDP) and plays an important strategic role in its economic growth. On the other hand, industrial wastewater is also the major source of water pollution. In order to examine the relationship between the underlying driving forces and various environmental indicators, values of two critical industrial wastewater pollutant ...
Understanding of the influencing factors of industrial sector carbon dioxide emissions is essential to reduce natural and anthropogenic greenhouse gas emissions. In this paper, we applied the Logarithmic Mean Divisia Index (LMDI) decomposition method based on the extended Kaya identity to analyze the changes in industrial carbon dioxide emissions resulting from 39 industrial sectors in Inner Mo...
Water scarcity has put pressure on city development in China. With a particular focus urban and rural effects, logarithmic mean Divisia index decomposition (LMDI) was used to analyze the water footprint per capita (WFP) of food consumption five East China cities (Beijing, Tianjin, Shanghai, Qingdao, Xiamen) from 2008 2018. Results show that WFP exhibited an upward tendency among all during rese...
Decoupling carbon emissions from economic growth is the key for sustainable development of developing countries. Based on panel data marine aquaculture in China 2010 to 2019, this paper employs Tapio decoupling index model analyze characteristics net and aquaculture. The logarithmic average weight decomposition method (LMDI model) effort are also introduced explore contribution various areas, p...
در این مطالعه تلاش شده است تا روند کارایی انرژی دربخش حمل و نقل با استفاده از رویکرد تحلیل تجزیه شاخصIDAو روشLMDI درسالهای 1383 تا1390بررسی شود. دراین روش ابتدا تغییر مصرف انرژی به اثرات آن تجزیه میشودوبا استفاده از اثر شدت، صرفه جوییهای ناشی از بهبود کارایی مشخص شده، سپس با استفاده از شاخص عملکرد انرژی روند...
Water productivity is broadly used as an indicator to measure the success of policies aiming at efficient water management. Focusing on agricultural sector, this paper provides first critical analysis appropriateness for type assessment. We apply Logarithmic Mean Divisia Index (LMDI) decomposition together with descriptive statistical test our main hypothesis that natural resources do not gener...
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