Research on Quantitative Evaluation and Optimization of China's Digital Agriculture Policy Based on Policy Consistency Index Model
In order to realize the modernization of agriculture and rural areas and promote the construction of digital agriculture,the scientific and rational nature of the policy should be evaluated by taking the digital agriculture policy as the starting point.Through the content analysis method,25 digital agriculture policies are sorted out,the core keywords are extracted with the help of ROST CM6.0,the semantic network diagram is drawn,and the policy consistency index model is constructed to quantitatively evaluate the 10 sample policies.The results show that the average PMC index of the 10 sample policies is 6.48,of which 1 is excellent,6 are good,and 3 are passing,indicating that the overall level design of the policy is relatively scientific and reasonable,but there are also problems such as imperfect policy content,too long timeliness and a single perspective.Accordingly,this paper exploratory constructs a five-dimensional evaluation framework of"subject-field-content-evaluation-effectiveness",establishes the digital agricultural policy evaluation index,and puts forward optimization suggestions for 10 sample policies from the perspectives of policy nature,policy timeliness,and policy perspective,so as to provide a reference for improving the objectivity and accuracy of the policy evaluation.
digital agriculturepolicy consistency index modelpolicy evaluation
万方数据
维普
