We propose a dynamic clustering model for uncovering latent time-varying group structures in multivariate panel data. The is three ways. First, the cluster location and scale matrices are to track gradual changes characteristics over time. Second, all units can transition between clusters based on Hidden Markov (HMM). Finally, HMM’s matrix depend lagged distances as well economic covariates. Mo...

We define a combined DEA score to evaluate efficiency in agricultural research. The production model we propose considers efficiency measurements under variable returns to scale for each year in the period 2012–2017. We postulate a first-order autoregressive process in the presence of covariates, to explain efficiency. Powers of the autocorrelation coefficient estimated assuming a dynamic panel...

Currently, technological development is driven by the search for solutions to prevent climate change and environmental degradation, increase energy efficiency, meet societal needs in relation avoiding conflict while navigating implementation of current future needs. Many come from rapid bioeconomy. The aim this article determine impact bioeconomy variables on economic growth 27 EU countries. re...

A low power, high speed, but with a large input dynamic range and output swing class-B output buffer circuit which is suitable for the flat-panel display application is proposed. The buffer draws little current during static but has a large driving capability during transients. It has been demonstrated with the TSMC 0.6μm CMOS technology.