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Institute of

WF Forestry

List of Publications

    1. 0

      Bösch M (2021) Faktoren, die illegalen Holzeinschlag begünstigen. Holz Zentralbl 147(37):652

    2. 1

      Bösch M (2021) Institutional quality, economic development and illegal logging: a quantitative cross-national analysis. Eur J Forest Res 140:1049-1064, DOI:10.1007/s10342-021-01382-z

      https://literatur.thuenen.de/digbib_extern/dn063623.pdf

    3. 2

      Bösch M (2021) Welche Faktoren begünstigen illegalen Holzeinschlag? Hamburg: Thünen-Institut für Internationale Waldwirtschaft und Forstökonomie, 1 p, Project Brief Thünen Inst 2021/19, DOI:10.3220/PB1625483994000

      https://literatur.thuenen.de/digbib_extern/dn063740.pdf

    4. 3

      Bösch M (2021) Which factors are associated with illegal logging? Hamburg: Thünen Institute of International Forestry and Forest Economics, 1 p, Project Brief Thünen Inst 2021/19a, DOI:10.3220/PB1625484480000

      https://literatur.thuenen.de/digbib_extern/dn063741.pdf

      Project

      Analysis of illegal logging


      Lead Institute WF Institute of Forestry

      © Tarcisio Schnaider - stock.adobe.com

      Despite international efforts to combat illegal logging, the problem remains widespread. There has been little systematic research to analyze the causes of illegal logging.

      Background and Objective

      The goal of the project is to examine those factors that are assumed in the scientific literature to have an influence on illegal logging.

      Target Group

      Policy, Science

      Approach

      We constructed a regression model to empirically clarify the research question. This model can make statements about the relationship between the occurrence of illegal logging and appropriate economic and institutional explanatory variables

      Data and Methods

      Data are taken from the literature or publicly available databases (e.g. FAO, World Bank). Logistic regression analysis is used as the methodology.

      Our Research Questions

      -Is there evidence on why some countries are affected by illegal logging and others are not?

      -Are there country-specific factors associated with illegal logging?

      -Which countries are more susceptible to illegal logging in terms of underlying conditions?

      Results

      The results show that, in addition to physical-geographical characteristics, a number of factors related to the degree and speed of a country's economic-institutional development are significantly associated with illegal logging. These include, for example, economic growth, the degree of government accountability, the rule of law, and the presence of corruption.

      Thünen-Contact

      Dr. Matthias Bösch

      Telephone
      +49 40 739 62 327

      Duration

      1.2019 - 12.2020

      More Information

      Projekt type:
      Project status: finished

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