Research on LMDI Decomposition of Carbon Emissions from OBOR Countries
نویسندگان
چکیده
منابع مشابه
Factors Affecting Regional Per-Capita Carbon Emissions in China Based on an LMDI Factor Decomposition Model
China is considered to be the main carbon producer in the world. The per-capita carbon emissions indicator is an important measure of the regional carbon emissions situation. This study used the LMDI factor decomposition model-panel co-integration test two-step method to analyze the factors that affect per-capita carbon emissions. The main results are as follows. (1) During 1997, Eastern China,...
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Abstract: As earth climate warms rapidly, the problem of carbon emissions has become a universal concern, the study of the factors involving carbon emissions will be the basis in finding the way to the reduction. LMDI established a framework to study the change in emission intensity and its mechanism. Using the extend Kaya Identity to decompose the driving factors into energy structure, energy ...
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Greenhouse gas emissions from the agricultural ecosystem account for 7%–20% of the world’s total greenhouse gas emissions, while approximately 17% of China’s carbon emissions are from agriculture. In this study, based on the scientific calculation system of carbon emissions in agriculture, we calculated the carbon emissions of agriculture in the Hotan prefecture between 1999 and 2013 and analyz...
متن کاملFactors Affecting Transportation Sector CO2 Emissions Growth in China: An LMDI Decomposition Analysis
China has now become the largest country in carbon emissions all over the world. Furthermore, with transportation accounting for an increasing proportion of CO2 emissions year by year, the transportation sector has turned out to be one of the main sectors which possesses a high growth speed in CO2 emissions. To accurately analyze potentially influencing factors which accelerate the process of C...
متن کاملCarbon Emissions and Environment: Evidences from Three Selected SAARC Countries
Data on carbon emissions, industrial output growth, population growth and FDI inflows are used for Bangladesh, Nepal and Maldives over 1972 – 2008. Time series data on all variables are nonstationary in terms of both ADF and KPSS tests with different orders of integration. As a result, ARDL model and VECM are estimated. There are evidences of cointegrating relationship among the variables, long...
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ژورنال
عنوان ژورنال: Climate Change Research Letters
سال: 2018
ISSN: 2168-5711,2168-5703
DOI: 10.12677/ccrl.2018.71005