Year: 2025
Type: conference-paper
Abstract: Optimizing crop planting strategies is crucial for enhancing rural agricultural resilience and economic sustainability. This study focuses on 54 plots in a rural area of the mountainous regions in North China. Considering uncertain factors in crop planting, as well as the substitutability and complementarity among various crops and the impact of selling price on expected sales volume, uncertain optimization models based on cross-price elasticity and price elasticity of demand are established under two scenarios: overstock due to production exceeding pre-sales volume and sales with price reduction. Using Monte Carlo simulation, the optimal planting strategies for the next seven years are provided, aiming to maximize economic benefits while ensuring agricultural sustainability.
Author: Rui Zhao
Institution: Tianjin University of Technology
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
SDG: Zero hunger
Open Access status: gold
OpenAlex ID: W4411888326