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A timber truck fully loaded with logs drives over a very simple wooden bridge in a forest.
© Thünen-Institut
A timber truck fully loaded with logs drives over a very simple wooden bridge in a forest.
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

  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

  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


Analysis of illegal logging

© Tarcisio Schnaider -

Analysis of cross-national variables that influence illegal logging

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


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?


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.


Dr. Matthias Bösch

+49 40 739 62 327
+49 40 739 62 327


1.2019 - 12.2020

More Information

Project status: finished

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