This study assessed the effect of import tariff of wood products upon forest conservation. We especially noted that per capita gross domestic product, crude oil price, currency exchange rate, import tariff, imported and exported value of wood products as well as their volume, domestic wood production price and conservation unit were the most important determinants of illegal wood logging as a forest conservation indicator. To achieve more delicate assessment some factors including imported wood products such as price, volume and tariff was categorized to three classes; raw wood (RW), intermediate and final wood products (IWP, FWP). Followed by, multivariable regression analysis (MRA) was applied to model the determinants of illegal wood logging in the period 1995-2005. Finally, the effects of above-mentioned factors on illegal wood logging were determined using least square methods. According to the estimated model, increasing in volume of IWP and decreasing in tariff of RW caused the illegal wood logging to decrease. Volume of IWP was appeared to have the most important impact on illegal wood logging. Average Smuggling elasticity showed that one percent change in tariff of RW and volume of IWP can cause 0.2% and 0.25% change in illegal wood logging, respectively. These low elasticity’s show that other variables like entrance barriers as in the case of skinned log import affected raw wood import and therefore had more influence upon illegal wood logging. We observed that reduction of raw wood tariff can not be merely effective on illegal wood logging.