基于学习曲线的生物质成型燃料补贴政策研究

doi:10.3969/j.issn.0253-2417.2016.02.020

Abstract

Abstract: Through the comprehensive investigation and analysis of the biomass molding fuels (BMF) industry in China, with combination of the development track and the related targets of the government for this industry, the learning curve for BMF was developed and validated in this study. On the basis of this learning curve, the BMF costs in the future were forecasted, and the formulation of subsidy policy was investigated to achieve the commercialization and utilize the production of 50 million tons BMF in the year of 2020. The results showed that in order to realize the targets, the BMF cost should be lowered to 462 CNY (Chinese Yuan)/ton, at which scenario the learning coefficient is 0.509 and the learning rate is 70.2%. For promoting the technological progress, the government should subsidize BMF industry before 2020, the maximal annual subsidy is about 600 million CNY in 2016, and the total subsidy from 2012 to 2020 is about 41.24 billion CNY.

Key words: biomass molding fuels, learning curve, subsidy policies

CLC Number:

TQ35
TK01

XU Jie, YUAN Zhen-hong, JIANG Yang, LI Wei-zhen, MA Long-long. Study on Subsidy Policy Based on Learning Curve for Biomass Molding Fuels in China[J]. Chemistry and Industry of Forest Products, 2016, 36(2): 134-138.

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Study on Subsidy Policy Based on Learning Curve for Biomass Molding Fuels in China

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