RETRACTED: Empirical Analysis of the Input-Output Efficiency of Forestry S&T Innovation in China (Retracted Article)

Forestry-listed companies are important subjects of scientific and technological innovation, which play important roles in the sustainable development of forestry economy. This study used quantile regression model and least square model to analyze the input-output efficiency for scientific and technological innovation of forestry-listed companies from 2012 to 2015 in China. Regression results showed that there was no significant correlation among the variables at 0.05 level, according to the results of least square regression. And, the results of quantile regression analysis showed that under different quantiles, independent variables had a significant impact on dependent variables. This is an irrational but objective reality. Ordinary least square regression (OLSR) has some drawbacks so that quantile regression is applied, which shows a more scientific conclusion. Results indicated that: some forestry-listed companies have weak consciousness of scientific and technological innovation and lack of investment, and utility models and designs patents account for most patent applications and licensing. Also, input-output efficiency of scientific and technological innovation has not reached optimized value. To improve input-output efficiency of scientific and technological innovation, in combination with the relevant conclusions of this study, some practical and feasible measures were proposed.