TY - JOUR
T1 - Impact of government subsidy strategies on bio-pesticide supply chain considering farmers' environmental safety preferences
AU - Jiang, Yiping
AU - Liu, Xiaoshu
AU - Zhuang, Zesheng
AU - Zheng, Leven J.
AU - Chu, Jie
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2024/1
Y1 - 2024/1
N2 - This study addresses the impact of government subsidy policies and farmers' environmental safety preferences on bio-pesticides from a supply chain network perspective with consideration of economic benefits and research and development (R&D) efficiency. We formulate a supply chain network equilibrium model to characterize the competition and cooperation among the various entities in the supply chain. To solve the model, a self-adaptive projection-based prediction correction algorithm is introduced. An avermectin supply chain case is used to analyze the impacts of different subsidy strategies and farmers' preferences on the equilibrium decisions. The numerical results show that: (1) While increased R&D subsidies can improve the quality of bio-pesticides, the excessive subsidies could lead to a lower actual profitability in the supply chain; (2) farmers' environmental safety preference has a strong impetus to manufacturers' R&D investment decisions; and (3) the combinations with a high R&D subsidy ratio are more conducive to the co-development of economic and ecological benefits. Graphical abstract: [Figure not available: see fulltext.].
AB - This study addresses the impact of government subsidy policies and farmers' environmental safety preferences on bio-pesticides from a supply chain network perspective with consideration of economic benefits and research and development (R&D) efficiency. We formulate a supply chain network equilibrium model to characterize the competition and cooperation among the various entities in the supply chain. To solve the model, a self-adaptive projection-based prediction correction algorithm is introduced. An avermectin supply chain case is used to analyze the impacts of different subsidy strategies and farmers' preferences on the equilibrium decisions. The numerical results show that: (1) While increased R&D subsidies can improve the quality of bio-pesticides, the excessive subsidies could lead to a lower actual profitability in the supply chain; (2) farmers' environmental safety preference has a strong impetus to manufacturers' R&D investment decisions; and (3) the combinations with a high R&D subsidy ratio are more conducive to the co-development of economic and ecological benefits. Graphical abstract: [Figure not available: see fulltext.].
KW - Bio-pesticides supply chain
KW - Farmers’ preferences
KW - Subsidy strategies
KW - Sustainable agriculture
KW - Variational inequalities
UR - http://www.scopus.com/inward/record.url?scp=85181221998&partnerID=8YFLogxK
U2 - 10.1007/s10098-023-02704-y
DO - 10.1007/s10098-023-02704-y
M3 - Article
AN - SCOPUS:85181221998
SN - 1618-954X
VL - 26
SP - 2395
EP - 2413
JO - Clean Technologies and Environmental Policy
JF - Clean Technologies and Environmental Policy
IS - 7
ER -