摘要：

Abstract:

【Purpose/significance】 Digital government construction needs adequate and effective policy system to support, and quanti⁃

tative evaluation of policy texts can provide decision support for policy formulation and adjustment, and promote digital government

construction policies to be precise and effective.【Method/process】 Using social network and rooting theory, we conducted text mining

of eighty-three digital government construction policies nationwide, and constructed a digital government construction policy evalua⁃

tion index system based on the PMC index model. The benchmarking index system evaluates the digital government construction poli⁃

cies of five provinces in northwest China, and also compares and analyzes the digital government policies with developed provinces

and cities with perfect policy evaluation grades.【Result/conclusion】 Of the nine sample policies from the five northwestern provinces,

one was perfect, six were excellent, and two were acceptable. The five northwestern provinces have more focused digital government

construction policies, more complete policy safeguards, and more comprehensive policy tools application, etc. However, there are still

problems such as low policy timeliness and unclear objectives, and compared with developed provinces and cities, there are certain

gaps in their policy operability and adequacy of basis.【Innovation/limitation】 This paper pioneered the construction of a quantitative

evaluation index system of digital government construction policies based on the PMC index model, based on which the digital govern⁃

ment construction policies of the five northwestern provinces are evaluated, reducing the subjectivity of policy evaluation.