Evaluation of Financial Subsidy for Agriculture Based on Combined Algorithm

Area of Science:

• Agricultural Economics
• Public Policy
• Financial Management

Background:

• Stable agricultural development is vital for national economic stability.
• Government financial support for agriculture is essential due to its foundational role and inherent fragilities.
• China's agricultural subsidy policies are a key focus for economic and agricultural advancement.

Purpose of the Study:

• To analyze the characteristics and classification of agricultural subsidies in China.
• To establish an evaluation model for agricultural subsidies using a combined algorithm.
• To measure the efficiency of regional financial subsidies and guide their implementation for sustainable agriculture.

Main Methods:

• Analysis of agricultural subsidy characteristics and classification.
• Development of an evaluation model combining Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA).
• Measurement of regional financial subsidy development levels using relative efficiency values.

Main Results:

• Screening of agricultural subsidy attributes using AHP.
• Construction of an agricultural subsidy evaluation process using DEA.
• Measurement of the development level of regional financial subsidies for agriculture.

Conclusions:

• The study provides a framework for evaluating agricultural financial subsidies.
• Enhanced administrative benefits and deepened supply-side reform of subsidies are achievable.
• The findings promote the sustainable development of agricultural insurance and production through effective financial support.