Visualization analysis of low-carbon policy in agriculture of coal resource-based cities in Heilongjiang Province based on PMC index Model
Liu Liwei
Zhi Xiao
Hong Liang
Abstract：The leadership of low-carbon agricultural policy is central to the transformation towards modernization of agricultural development in the coal resource-based cities of Heilongjiang Province.Based on the Omnia Mobilis hypothesis,this study applies ROSTCM-6 technology to extract key terms from the social network knowledge graph of low-carbon agricultural policies.It constructs a PMC index model with 9 primary variables and 30 secondary variables,enabling a visual and quantitative analysis of low-carbon agricultural policies in these cities of Heilongjiang.The results show that the PMC surface maps of these policies are generally flat,indicating an overall effective policy outcome.However,there are certain gaps among different policies in terms of their nature,focus,and timeliness.From the perspective of mean comparison,most policies score lower in terms of policy timeliness and tools among the nine primary variables.Considering the comprehensive PMC index results for each policy,it is clear that there is considerable room for optimization in the policies of the various cities.
Keywords：policy evaluationcoal resource-based citiesagricultural low-carbonPMC index model
Publication Date：2023-11-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：11( 30-40 )