LÄHIPUU ympäristöseloste

Lehdistötiedote201

How can the wood industry communicate its sustainability?

Tarmo Räty and Maria Riala study the certification choices of Nordic producers and draw some lesson

Digitaalinen kaupankäynti puutuotealan yrityksissä

201

Efficiency and University Size: Discipline-wise Evidence from European Universities

Strategic management of universities must build the best possible relation between inputs and outputs. One relevant question, in this perspective, is whether the unit is making the best use of existing resources, or whether technical efficiency is in place. Here we address the question of technical efficiency with respect to university’s size. The crucial concept in this analysis is conditional efficiency and the ratio of size-conditional to unconditional efficiency measures. In particular we take use of robust order-m efficiency scores presented in Cazals, Florens and Simar (2002) and generalized in Daraio and Simar (2005a,b) to analyze data from four European countries and four different research fields. Our results are still explorative and mainly show how heterogeneous international datasets could be used to analyze productivity differences.Universities;efficiency;International comparisons

New business models and digitalization in Finnish wood products industry

Poster201

Suomalaisen sahatavaran ja höylätyn puutavaran ympäristöseloste

Tämä ympäristöseloste on tehty Sahateollisuus ry:n jäsenyritysten havupuusta tuottamalle sahatavaralle ja höylätylle puutavaralle. Seloste on laadittu standardin EN 15804:2019 + A2 sekä RTS PCR (versio 1.6.2020) menetelmäohjeen mukaan. RTS EPD -ympäristöselosteessa mainittuja rakennustuotteiden ympäristötietoja ei voi vertailla keskenään, mikäli ne eivät täytä standardin SFS-EN15804:2019 kohdan 5.3 vaatimuksia tuotteiden vertailtavuudesta

EPD of Finnish sawn and planed timber

This environmental product declaration (EPD) is for sawn and planed softwood timber produced by member companies of the Finnish Sawmills Association. The declaration has been prepared in accordance with standard EN 15804:2019 + A2 and RTS PCR (version 1.6.2020) product category rules. The environmental data for building products mentioned in this RTS EPD cannot be compared to other EPDs if they do not meet the requirements set out in SFS-EN 15804:2019, 5.

WoodCircus, Underpinning the vital role of the forest-based sector in the Circular Bioeconomy. D2.2 Resource Efficiency, Side Streams and Value Chain Analysis – WP2 Final Report

202

Efficiency and University Size: Discipline-wise Evidence from European Universities

Strategic management of universities must build the best possible relation between inputs and outputs. One relevant question, in this perspective, is whether the unit is making the best use of existing resources, or whether technical efficiency is in place. Here we address the question of technical efficiency with respect to university’s size. The crucial concept in this analysis is conditional efficiency and the ratio of size-conditional to unconditional efficiency measures. In particular we take use of robust order-m efficiency scores presented in Cazals, Florens and Simar (2002) and generalized in Daraio and Simar (2005a,b) to analyze data from four European countries and four different research fields. Our results are still explorative and mainly show how heterogeneous international datasets could be used to analyze productivity differences

Efficiency and University Size: Discipline-wise Evidence from European Universities

Strategic management of universities must build the best possible relation between inputs and outputs. One relevant question, in this perspective, is whether the unit is making the best use of existing resources, or whether technical efficiency is in place. Here we address the question of technical efficiency with respect to university’s size. The crucial concept in this analysis is conditional efficiency and the ratio of size-conditional to unconditional efficiency measures. In particular we take use of robust order-m efficiency scores presented in Cazals, Florens and Simar (2002) and generalized in Daraio and Simar (2005a,b) to analyze data from four European countries and four different research fields. Our results are still explorative and mainly show how heterogeneous international datasets could be used to analyze productivity differences