Discussion on the ecological compensation standard of green manure planting based on the willingness of fruit farmers to accept
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Graphical Abstract
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Abstract
To explore the reasonable ecological compensation standard of green manure planting for fruit farmers, the theories of utility as guides, relying on 423 green manure planting samples of fruit farmers in Shaanxi Province, and using ecological compensation theory, this paper constructed the utility function of fruit farmers' willingness to accept, and determined the compensation standard for fruit farmers. In addition, using the Binary Logistic regression model, this paper tests the factors affecting the willingness of farmers to accept. The calculation results of the ecological compensation standard for green manure planting showed that the parameter estimation result was 2 611.80 ¥·hm-2, and the non-parametric estimation result was 3 660.75 ¥·hm-2, both of which are dynamic adjustment intervals of the ecological compensation standards for green manure planting in orchards in Shaanxi Province. According to the survey results, approximately 77% of fruit growers tended to use green manure in orchards. Fruit growers with different personal characteristics, family characteristics, and cognitive levels would show different levels of willingness to use green manure. The regression analysis showed that for the fruit farmers in Shaanxi, the personal endowment of the fruit farmers and the family production and management characteristics had no significant impacts on the willingness to accept. The villagers suggested that the awareness of green manure and the national green manure industry policy had become the main influencing factors. The planting subsidy in the policy was the fundamental motivation for farmers to plant green manure. Based on the above conclusions, it is suggested that the vigorous implementation of green manure should first respect the willingness of farmers, and secondly, determined appropriate ecological compensation standards, and established a market-based and diversified ecological compensation system that combined control and incentives.
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