Study on Chinese Farmland Ecosystem Service Value Transfer Based on Meta Analysis

Area of Science:

• Agricultural Economics
• Environmental Science
• Ecosystem Services Valuation

Background:

• Farmland ecosystem services are crucial for agricultural production and environmental health.
• Accurate valuation of farmland is essential for policy-making and sustainable land management.
• Existing studies on farmland value present diverse findings, necessitating a synthesized analysis.

Approach:

• A meta-regression analysis (MRA) database was constructed, incorporating ecosystem service type, farmland division, cultivated land type, valuation methods, and farmland characteristics.
• The feasible weighted least square (FWLS) method was employed to analyze seventy empirical observations.
• Future farmland value changes were projected under Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios (IPCC SRES) A1B, A2, B1, and B2 scenarios.

Key Points:

• Factors positively influencing farmland value include paddy fields, good soil conservation, provision of agricultural products, and market value assessment methods.
• Farmland area negatively impacts farmland value.
• Meta-regression analysis revealed an average transfer error of 36.74% and a median transfer error of 14.59%.

Conclusions:

• Farmland value projections indicate significant increases under the A2 scenario (reaching 15,220 billion yuan by 2100) and substantial losses under the B1 scenario (falling to 6,320 billion yuan by 2100).
• The study provides recommendations for further research on farmland ecosystem service values and informs government policy formulation for differentiated land management.
• Understanding the drivers of farmland value and projecting future changes under climate scenarios is critical for sustainable agricultural practices.