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

Liangzhen Nie, Bifan Cai, Yixin Luo, Yue Li, Neng Xie, Tong Zhang, Zhenlin Yang, Peixin Lin and Junshan Ma ()
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Liangzhen Nie: College of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China
Bifan Cai: College of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China
Yixin Luo: College of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China
Yue Li: College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
Neng Xie: College of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China
Tong Zhang: College of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China
Zhenlin Yang: College of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China
Peixin Lin: College of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China
Junshan Ma: College of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China

IJERPH, 2022, vol. 20, issue 1, 1-17

Abstract: An analytic database was built based on meta-regression analysis (MRA) method, mainly including ecosystem service type, farmland division, cultivated land type, value assessment method, and farmland characteristics. The feasible weighted least square (FWLS) method was adopted to comprehensively investigate the seventy observations from empirical studies. The results indicate that: (1) except the negative impact of farmland area on farmland value, such factors as paddy field, good soil conservation function, mainly providing agricultural products, and using market value method for assessment all produce positive effect on the promotion of farmland value. (2) In meta-regression analysis, the average transfer error is 36.74%, and the median transfer error is 14.59%. (3) Under the A1B, A2, B1, and B2 scenarios of IPCC SRES, it is discovered from calculation that the value changes under different scenarios have some differences, in which, the total value rises significantly under A2 scenario and will reach to 15,220 billion yuan until the year of 2100; while the total value loss is the greatest under B1 scenario and will fall to 6320 billion yuan until the year of 2100. Finally, this paper gives some suggestions for scholars to deeply study the service value of farmland ecosystem as well as for the government to formulate differentiation policies.

Keywords: ecosystem services; value transfer; farmland; meta-regression analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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