Trend analysis using nonhomogeneous stochastic diffusion processes. Emission of CO2; Kyoto protocol in Spain

被引:0
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作者
R. Gutiérrez
R. Gutiérrez-Sánchez
A. Nafidi
机构
[1] University of Granada,Department of Statistics and Operations Research, Facultad de Ciencias
关键词
Non-homogeneous lognormal and Gompertz diffusion process; Exogenous factors; Trend functions; Likelihood estimation in discrete sampling; GDP and global CO; emission;
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摘要
In this study, we propose a methodology to analyse the gradual secular trends present in the time evolution of certain endogenous variables, which are of particular interest in environmental research. This methodology is based on modelling such variables by nonhomogeneous stochastic diffusion processes, the trend functions of which may be made to depend on other, exogenous, variables, which are controllable and which affect and model, in turn, the possible irregularities of such trends. The methodology is applied to analyse the evolution of the emission of CO2 in Spain, and it is shown that the evolution of the Spanish GDP affects the trend component. These circumstances are considered in the context of Spain’s non-compliance with the Kyoto protocol on controlling the emission of greenhouse gases.
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页码:57 / 66
页数:9
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