A Hybrid Multiple Criteria Decision-Making Technique to Evaluate Regional Intellectual Capital: Evidence from China

With the dawn of economic globalization and knowledge economy, intellectual capital has become most important factor to determine growth. However, due resource endowment, location conditions, policy differences, other factors, provinces in China show sizeable differences regional (RIC), which affects coordinated development economy. Evaluating RIC is a typical multiple-criteria decision-making (MCDM) problem. Therefore, this study employs set MCDM techniques solve First, Delphi method used formal decision structure based on systematic literature review. A novel hybrid method, namely, Grey-based Decision-Making Trial Evaluation Laboratory (DEMATEL) Analytic Network Process (ANP), i.e., GDANP, employed obtain relative weight each criterion. Finally, data 31 China, Technique for Order Preference by Similarity an Ideal Solution (TOPSIS) evaluate RIC. According questionnaires filled out expert panel, we establish evaluation index with 21 criteria. Based results empirical study, level different regions quite different. Furthermore, ranking largely consistent provincial gross domestic product (GDP) ranking, line current status regions. Indeed, paper shows that proposed can effectively measure