Abstract
As extremely complex interactions exist in the process of economic research and development, a novel grey multivariable coupling model called CFGM(1,N) is proposed to evaluate the coordination degree between China’s technology and economy with limited information. This proposed model improves the aggregation in GM(1,N) model through the Choquet integral among λ-fuzzy measure, which can reflect interactions among factor indexes. Meanwhile, it can estimate the coordinate parameters via the whale optimization algorithm and obtains the coupling coordination degree combining with grey comentropy. To verify the proposed model, a case study using a dataset from China’s technology and the economic system is conducted. The CFGM(1,N) model has a better performance in the convergence and interpretability, as compared to the three heuristic algorithm and two classical approaches. Our finding suggests that China’s technology and the economic system is still relatively coordinated. Results also reveal that there exists strong negative cooperation between the comprehensive human input and the comprehensive capital investment in this system.
Highlights
Technology and economy are the two driving forces of contemporary social progress (Krammer, 2017; Block et al, 2013)
The coordination between technology and economy refers to the state and process of mutual support, promotion, and matching between economic development and technological progress (Yuan et al, 2020)
Coordination degree is the description of the above state, that is, the degree of matching between economic development and technological progress (Sun, 1996)
Summary
Technology and economy are the two driving forces of contemporary social progress (Krammer, 2017; Block et al, 2013). The coordination between technology and economy refers to the state and process of mutual support, promotion, and matching between economic development and technological progress (Yuan et al, 2020). Jiang (2011) predicted the future coordinated development of regional technology and economic systems from a dynamic perspective. Wang and Xu (2009) used the analytic hierarchy process to comprehensively evaluate the coordinated development of regional technology and economy and showed the degree of coordination between technology and economic development in various regions. He established a nonlinear autoregressive model for the coordinated development of regional technology and economic systems and analyzed the dynamic evolution process of the model
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