Risk Analysis of Regions with Suspicious Illegal Logging and Their Trade Flows

Author Information

Jiunn-Cheng Lin, Taiwan Forestry Research Institute, Council ofAgriculture
Jun-Yen Lee, Department of Bio-Industry and Agribusiness Administration, National Chiayi University, Chiayi 600, Taiwan
Wan-Yu Liu, Department of Forestry, National Chung HsingUniversity, Taichung 402, Taiwan; Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University,Taichung 402, Taiwan

Date of Publication

2021 12:00 AM

Security Theme

Environmental Security

Keywords

Illegal Logging, srhreports, suspicious illegal logging, risk analysis, Human Development Indicator (HDI), The Worldwide Governance Indicators (WGI), Corruption Perceptions Index (CPI), entropy weight method

Description

To eradicate illegally harvested wood sources in its domestic market, it is critical to conduct risk assessments on wood sourcing in regions with illegal loggings. It is not reliable to use a single indicator to analyze suspicious illegal logging. This study integrates three key global indicators: CPI (Corruption Perceptions Index), HDI (Human Development Indicator), and WGI (The Worldwide Governance Indicators) by applying the entropy weight method to establish a new risk indicator to rank suspicious illegal logging regions. This study aims to establish better risk indicators by considering more factors to assess the risks of illegal logging and its trade flow more reliably. By analyzing roundwood production, Myanmar, Congo, and Nigeria are rated high-risk. Countries such as the U.S., Germany, Canada, and Finland are rated low-risk.

Comments

Originally published in Sustainability.

https://doi.org/10.3390/su13063549