From: An agent-based simulation of cooperation in the use of irrigation systems
Parameter | Brief description | Value | Source |
---|---|---|---|
Num-user | Number of users of the irrigation resource in a village | [20, 40, 60, 80] | Survey results: mean = 46.7, SD = 26.4 |
Seed-ratio | Portion of seed participants of the cooperation | [5, 7.5, 10, 12.5, 15%] | Survey results: mean = 7.87%, SD = 4.40% |
Seed participant | Types of seed participants in terms of their characteristics | [High degree, high dependence, high entrepreneurship] | Peres (2014) (for high degree), Ostrom (1992) (high dependence) and Rogers (2010) (for high entrepreneurship) |
Scale | Scale of production, represented by acreage of land of a household | Following normal distribution across a village, with mean 6.5 and standard deviation 5 | Survey results: mean = 6.74, SD = 5.32 |
Entrep | User’s entrepreneurship, represented by the schooling years of the household heads | Following normal distribution across a village, with mean 9.34 and standard deviation 3.6 | Survey results: mean = 9.5, SD = 3.50 |
Network | Network structure of a village | [Random network, Scale-free network] | The finding that network structure of villages in central China is close to that of scale-free networks (Xiong and Payne 2017). Random network is commonly used as a benchmark for comparing dynamics on different networks (e.g., Montanari and Saberi 2010; Rand et al. 2011) |
Prob-ER | Connection probability for generating random networks | [5, 10%] | The need of producing networks with characteristics similar to those described in Xiong and Payne (2017) |
SF-initial | Initial number of nodes for generating scale-free network | [3, 4] | |
SF-rewire | Rewiring probability for generating scale-free networks | [1, 2] | |
Dist | Distance to the irrigation resource | Approximately [0.05, 17.05] | Generated by the model |
Subsidy-ratio | Percentage of government subsidies on cooperation fee | [40, 50, 60, 70, 80%] | Survey results: mean = 60%, SD = 15% |
α | Coefficient of cooperation propensity | [0. 4, 0. 6] | The need that the most diffusions can converge for the parameter combinations favoring diffusion and meanwhile diverse results can be produced by different parameter combinations |
β | Coefficient of cooperation expenditure | [5, 7] | |
γ | Coefficient of coordination cost, i.e.the exponent in coordination cost function | [1, 1.1] |