forest accountancy data networks—a european approach of empirical research, its achievements, and potentials in regard to sustainable multiple use forestry

Clicks: 230
ID: 196876
2018
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #87 of 149 articles by views in tecnologia del agua

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 149 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
A Forest Accountancy Data Network represents an intermediate approach of empirical economic research between surveys based on questionnaires on the one hand and case studies on the other, with time as a third dimension. Over the past decades, the few institutions operating such networks have accumulated a bulk of experience with this methodology and the possibilities for its adaptation to upcoming requirements. By summarizing and evaluating the potential of this methodology, we provide an up-to-date reference for designing empirical studies in forest economics at the enterprise level. Aspects of sustainability as well as the economics of multiple use forestry are specifically addressed. Forestry-specific extensions to existing agricultural networks could be a cost saving approach for investigating such crucial questions like the role of forestry for regional development and for the livelihood of farms. The study is based on an extended literature research which has been complemented by expert interviews.
Reference Key
toscani2018forestsforest Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Philipp Toscani;Walter Sekot
Journal tecnologia del agua
Year 2018
DOI
10.3390/f9040220
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.