Subsidize farmers or bioenergy producer? The design of a government subsidy program for a bioenergy supply chain
Subsidize farmers or bioenergy producer? The design of a government subsidy program for a bioenergy supply chain
复制标题
补贴农民或生物能源生产商?
DOI:
10.1002/nav.21909
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发表时间:
2020-05
影响因子:
2.3
通讯作者:
Gang Hou
中科院分区:
文献类型:
--
作者:
Fei Ye;Zigong Cai;Ying-Ju Chen;Yina Li;Gang Hou
The success of the bioenergy industry will depend, in part, on enough biomass feedstocks being grown. To increase the reliability of feedstocks supply, a government can offer two types of subsidy program: a farmer subsidy program (FSP) and a bioenergy producer subsidy program (PSP). We develop models to analyze the optimal subsidy program by capturing the interactions between the government, the bioenergy producer, and the farmers. The models incorporate the subsidy budget constraint, the environmental benefits from the use of bioenergy, the farmer's risk aversion and land capacity constraint, as well as the yield uncertainty of feedstocks. The findings reveal that both FSP and PSP are effective as long as the farmers' land capacity exceeds a threshold. If both the subsidy budget and the land capacity are sufficiently large, PSP outperforms FSP; if only the subsidy budget is limited, FSP is better; if only the land capacity is limited, FSP and PSP are equivalent. Counter‐intuitively, we find that PSP always favors farmers more, while FSP favors the bioenergy producer more under certain conditions. Also, we find that FSP can better mitigate risk than PSP when yield uncertainty is high. Lastly, insights for policy makers to promote bioenergy development are highlighted.
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影响因子:
12.8
作者:
M. Khanna;H. Núñez;D. Zilberman
通讯作者:
M. Khanna;H. Núñez;D. Zilberman
DOI:
10.1016/j.tre.2013.10.007
发表时间:
2014
影响因子:
10.6
作者:
M. Roni;S. Eksioglu;E. Searcy;Krishna C. Jha
通讯作者:
M. Roni;S. Eksioglu;E. Searcy;Krishna C. Jha
DOI:
10.22004/ag.econ.13411
发表时间:
1997
期刊:
--
影响因子:
--
作者:
W. Peterson
通讯作者:
W. Peterson
影响因子:
9
作者:
Ye Fei;Li Yina;Lin Qiang;Zhan Yuanzhu;Li YN;Lin Q
通讯作者:
Lin Q
影响因子:
11.1
作者:
Jakrawatana, Napat;Pingmuangleka, Prus;Gheewala, Shabbir H.
通讯作者:
Gheewala, Shabbir H.