This paper provides a survey of the literature on multiple criteria decision-making (MCDM)
applications to forestry problems undertaken in the last 30 years or so. More than 250 …

In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

Greenhouse gases (GHG) remain in the atmosphere for a very long-time causing alarmingly
fast warming worldwide (global warming); especially Carbon dioxide (CO 2) emissions have …

Abstract Purpose of Review The forest engineering sector has in the last few decades
derived its operational decisions from advanced data-driven processes as opposed to the …

Most of previous research about Total Factor Productivity (TFP) at the macro level only
emphasizes technical effect and technological progress at the country level, but it ignores …

The paper presents the efficiency evaluation of forest districts in Southern Poland carried out
using the standard Data Envelopment Analysis (DEA) which is a nonparametric …

In this paper the relative efficiency of the forest sector of 28 EU/EFTA countries during the
period 2010–2015 is assessed using Data Envelopment Analysis (DEA). Three non …

Abstract Data Envelopment Analysis (DEA) is a mathematical technique to assess relative
efficiencies of decision making units (DMUs). The efficiency of 14 Iranian forest companies …

Despite its importance, performance assessment of the Canadian primary wood products
sector has received little attention in the academic literature and business practices. In this …

The current requirements put on the Member States of the European Union (“EU”) in the
area of sustainability and climate-neutral economy through strategic visions such as …