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

Jiunn-Cheng Lin, Jun-Yen Lee and Wan-Yu Liu
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Jiunn-Cheng Lin: Taiwan Forestry Research Institute, Council of Agriculture, Taipei 100, Taiwan
Jun-Yen Lee: Department of Bio-Industry and Agribusiness Administration, National Chiayi University, Chiayi 600, Taiwan

Sustainability, 2021, vol. 13, issue 6, 1-12

Abstract: 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.

Keywords: suspicious illegal logging; risk analysis; Human Development Indicator (HDI); The Worldwide Governance Indicators (WGI); Corruption Perceptions Index (CPI); entropy weight method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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