Understanding farmers’ willingness in arable land protection cooperation by using fsQCA: Roles of perceived benefits and policy incentives

• Published in: Journal for nature conservation Vol. 68; p. 126234
• Main Authors: Zhang, Yanwei, Lu, Xinhai, Zhang, Maomao, Ren, Bing, Zou, Yucheng, Lv, Tiangui
• Format: Journal Article
• Language: English
• Published: Elsevier GmbH 01.08.2022
• Subjects: Arable land protection cooperation; arable soils; asymmetry; China; collective action; Configuration analysis; Fuzzy set qualitative comparative analysis (fsQCA); issues and policy; motivation; natural resources conservation; Perceived benefits; Policy incentives; questionnaires; surveys; China; Perceived benefits; Arable land protection cooperation; Fuzzy set qualitative comparative analysis (fsQCA); Policy incentives; Configuration analysis
• DOI: 10.1016/j.jnc.2022.126234
• ISSN: 1617-1381

Under small-scale farming operations, farmers’ willingness in arable land protection cooperation (FWALPC) is a feasible way to realize the trinity protection of arable land in China. However, farmers often fall into the dilemma of collective action due to lack of motivation and free-riding behavior. On the basis of the configuration perspective, this paper conducted a questionnaire survey on 197 farmers in Xingning City by using the fuzzy set qualitative comparative analysis (fsQCA) method to explore the causal complex mechanism of the seven antecedent conditions of perceived benefits and policy incentives on the FWALPC. Results show the following: (1) Among individual factors, perceived economic benefits, policy subsidies, and government propaganda constitute the necessary conditions for the FWALPC. (2) The drive path of high-level FWALPC can be divided into four types: perceived ecological benefits leading type, perceived social benefits leading type, perceived emotional benefit–government regulation leading type, and government propaganda leading type. (3) The driving path of low-level FWALPC has one type and has a causal asymmetry relationship with high-level FWALPC. This research enriches and develops the relevant theories of collective action behavior of small farmers, and provides a new perspective for how land managers can improve FWALPC.