STIRPAT-Based Driving Factor Decomposition Analysis of Agricultural Carbon Emissions in Hebei, China
نویسندگان
چکیده
منابع مشابه
Spatial-Temporal Characteristics and LMDI-Based Impact Factor Decomposition of Agricultural Carbon Emissions in Hotan Prefecture, China
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...
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Climate change cannot control unless by reduction of GHG emissions to secure level, therefore it is important to identify driving forces and possible scenarios based on targets. In this research, the Logarithmic Mean Divisia Index decomposition approach in combination with Extended Kaya Identity (EKI) are applied to investigate five factors could affect emissions during 1971-2012 in Iran. Thes...
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Global warming has brought increased attention to the relationship between carbon emissions and economic development. Research on the driving factors of carbon emissions from energy consumption can provide a scientific basis for regional energy savings, as well as emissions reduction and sustainable development. Henan Province is a major agricultural province in China, and it is one of most pop...
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Xinjiang's agricultural carbon emissions showed three stages of change, i.e., continued to rise, declined and continued to rise, during 1991-2014. The agriculture belonged to the "low emissions and high efficiency" agriculture category, with a lower agricultural carbon emission intensity. By using the logarithmic mean divisia index decomposition method, agricultural carbon emissions were decomp...
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ژورنال
عنوان ژورنال: Polish Journal of Environmental Studies
سال: 2018
ISSN: 1230-1485,2083-5906
DOI: 10.15244/pjoes/77610