Combined soft measurement on key indicator parameters of new competitive advantages for China's export
Open Access
- 28 June 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Financial Innovation
- Vol. 7 (1), 1-24
- https://doi.org/10.1186/s40854-021-00266-w
Abstract
The estimation of the difference between the new competitive advantages of China's export and the world’s trading powers have been the key measurement problems in China-related studies. In this work, a comprehensive evaluation index system for new export competitive advantages is developed, a soft-sensing model for China’s new export competitive advantages based on the fuzzy entropy weight analytic hierarchy process is established, and the soft-sensing values of key indexes are derived. The obtained evaluation values of the main measurement index are used as the input variable of the fuzzy least squares support vector machine, and a soft-sensing model of the key index parameters of the new export competitive advantages of China based on the combined soft-sensing model of the fuzzy least squares support vector machine is established. The soft-sensing results of the new export competitive advantage index of China show that the soft measurement model developed herein is of high precision compared with other models, and the technical and brand competitiveness indicators of export products have more significant contributions to the new competitive advantages of China's export, while the service competitiveness indicator of export products has the least contribution to new competitive advantages of China's export.Keywords
Funding Information
- Innovative Research Group Project of the National Natural Science Foundation of China (71573082)
- Natural Science Foundation of Hunan Province (2017JJ2134)
- Research Grants Council (UGC/FDS14/E06/20)
This publication has 46 references indexed in Scilit:
- At the roots of China's striking performance in textile exports: A comparison with its main Asian competitorsChina Economic Review, 2019
- A Hybrid Seasonal Mechanism with a Chaotic Cuckoo Search Algorithm with a Support Vector Regression Model for Electric Load ForecastingEnergies, 2018
- Human Age and Gender Prediction Based on Neural Networks and Three Sigma Control LimitsApplied Artificial Intelligence, 2018
- Employer branding and its influence on employee retention: A literature reviewThe Marketing Review, 2017
- Entropy-based fuzzy support vector machine for imbalanced datasetsKnowledge-Based Systems, 2016
- It’s the Equity Stupid! Protecting the Value of the Partisan BrandJournal of Nonprofit & Public Sector Marketing, 2016
- Fuzzy support vector machines for multilabel classificationPattern Recognition, 2015
- Strengthening the Competitiveness and Sustainability of a Semiconductor Manufacturer with Cloud ManufacturingSustainability, 2014
- Estimating Cross-Country Differences in Product Quality*The Quarterly Journal of Economics, 2011
- What you export mattersJournal of Economic Growth, 2006