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A Regional Decomposition Analysis of CO2 Emissions and Their Evolutions in China AgEcon
Dong, Fengxia; Lu, Jing; Du, Xiaodong.
CHINA is currently the world largest emitter of energy-related carbon dioxide (CO2). Understanding the driving forces governing CO2 emission levels and their evolutions in China can provide useful information for policy makers who aim to reduce green house gas emissions. Because of policy and historical reasons, considerable regional growth and income disparities exist in China. The regional disparities may influence energy use and CO2 emissions. Therefore, this study is to investigate the driving forces governing CO2 emission levels and their evolutions at regional level in China.
Tipo: Conference Paper or Presentation Palavras-chave: Carbon dioxide emission; Decomposition analysis; Region; China; Environmental Economics and Policy; Resource /Energy Economics and Policy.
Ano: 2010 URL: http://purl.umn.edu/61390
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Use of data mining techniques to classify soil CO2 emission induced by crop management in sugarcane field. Repositório Alice
FARHATE, C. V. V.; SOUZA, Z. M. de; OLIVEIRA, S. R. de M.; TAVARES, R. L. M.; CARVALHO, J. L. N..
Soil CO2 emissions are regarded as one of the largest flows of the global carbon cycle and small changes in their magnitude can have a large effect on the CO2 concentration in the atmosphere. Thus, a better understanding of this attribute would enable the identification of promoters and the development of strategies to mitigate the risks of climate change. Therefore, our study aimed at using data mining techniques to predict the soil CO2 emission induced by crop management in sugarcane areas in Brazil. To do so, we used different variable selection methods (correlation, chi-square, wrapper) and classification (Decision tree, Bayesian models, neural networks, support vector machine, bagging with logistic regression), and finally we tested the efficiency of...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Mineração de dados; Emissão de dióxido de carbono; Manejo de cultivos; Carbon dioxide emission; Data mining; Cana de açúcar; Dióxido de carbono; Carbon dioxide; Sugarcane; Crop management.
Ano: 2018 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1089160
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