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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

    https://literatur.thuenen.de/digbib_extern/dn063950.pdf

  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



    © Tarcisio Schnaider - stock.adobe.com

    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

    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
    Telephone
    +49 40 739 62 327
    matthias.boesch@thuenen.de

    Duration

    1.2019 - 12.2020

    More Information

    Project status: finished

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