Current Research

In the thesis, the aim of chapter six was to provide the necessary micro-level data upon which a theory of Chinese governance could then be built. It contained data relating to a single case study of a Hebei winter heating SOE; the data was taken from some 500+ internal company documents, and an interview with a company insider. The chapter then summarised this into 3 major 'Projects' related to air pollution mitigation, and created a small Agent Based Model based upon all of this data. The idea was that this core emprical chapter would be the basis upon which further chapters would build, creating the conditions by which a China-wide Agent Based Model could be created and the output analysed and compared with real world pollution data.

The first major challenge here is the sheer amount of background context and information needed for this text to work as a standalone document. So it needs to get rid of everything except that needed to make the central point of the article.

So what should be the point of the article? It must be small enough and focused enough that it can be wholly standalone in max 8,000 words. So I think that it should not contain any computational modelling; that's a focus for a different article, one which is more specialised towards a computational social science journal.

So the core should be fully analysable from the case study alone. So it should be largely quantitative in spirit, although can include some quant for background context. So within that context, it will be useful to present the "core governance mechanism" as a qualitative analysis output of the given data.

Ok, so article should contain:-