Abstract
Economic vitality is the manifestation of regional economic development capacity and potential. Analysis and modeling regional economic vitality and its influencing factors can provide effective policy recommendations for regional development. Based on data from various regions' statistics office, we have established a model of the evaluation indicator system for regional economic vitality, and provided feasible policy recommendations accordingly. We first summarize the factors that may affect regional economic vitality by using the available data. Based on the summarized factors, a qualitative and quantitative relational model of regional economic vitality factors was constructed based on the pyramid and the minimum spanning tree of correlation networks. Combining the correlation of indicators and DBSCAN algorithm redundant and secondary indicators are filterd out and reduced. Then, considering the weight relationship of the indicators, the SWARA algorithm is used to gradually determine the indicator weights after inviting experts to sort and score the indicators. In this process, in order to minimize the subjective influence of the experts, we also use a hesitant fuzzy method to evaluate the expert scores. Finally, three indicators in the regional economic vitality mathematical model and their weights were determined according to the ranked economic vitality indicator.
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