Analysis of livestock manure utilization in planting and breeding supply chain with organic preference

Yiping Jiang (), Yalan Cheng (), Kunru Li (), Xiaoling Fu (), Shuyi Feng () and Baoai Xu ()
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Yiping Jiang: Nanjing Agricultural University
Yalan Cheng: Nanjing Agricultural University
Kunru Li: Nanjing Agricultural University
Xiaoling Fu: Southeast University
Shuyi Feng: Nanjing Agricultural University
Baoai Xu: Sunkiss Post-Modern Agriculture Co., Ltd

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 6, No 26, 14295-14326

Abstract: Abstract With the enhancement of people’s awareness of green development, the supply chain management of circular agriculture with integrated planting and breeding that can effectively utilize resources becomes particularly important. In order to promote the sustainable development of agriculture, the supply chain network equilibrium methodology is adopted to construct a planting and breeding integration supply chain model with considering economic and environmental objectives under the influence of market consumers’ organic preferences. The result shows that the profit and carbon sequestration of the planting and breeding integration supply chain are increasing with the increase of market size and organic preference, and the performance is better than single-production mode. Strikingly, farmers marginal profit does not always increase monotonically and retailer profits could be compromised by the fact that the growth of market price sales is less than that of production costs. This study provides effective organic manure decisions in planting and breeding integration supply chain for farmers under different market conditions, which could promote green production and sustainable agricultural development.

Keywords: Sustainable agriculture; Planting and breeding integration; Livestock manure utilization; Organic manure substitution; Variational inequalities (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-03194-0

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