A Comprehensive Evaluation of Economic Vitality and Markov's Prediction: An Empirical Study of a Major City in China

Ziqian Xia, Jinquan Ye, Xie Guan

Abstract

The region's economic vitality is an important part of its competitiveness. Based on previous studies, we use the grounded theory to perform indexing and then uses the Entropy method and Topsis evaluation methods to conduct a comprehensive evaluation of economic vitality for a major city in China. Finally, Markov forecasting is deployed. The forecasting method studied the trend of the vitality. Economic vitality is of great significance to regional economic division and regional policy formulation. Our thesis uses Chinese data to construct a model of economic vitality, filling an empirical gap in economic vitality research.

Download


Paper Citation


in Harvard Style

Xia Z., Ye J. and Guan X. (2020). A Comprehensive Evaluation of Economic Vitality and Markov's Prediction: An Empirical Study of a Major City in China.In Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB, ISBN 978-989-758-422-0, pages 49-54. DOI: 10.5220/0009469500490054


in Bibtex Style

@conference{femib20,
author={Ziqian Xia and Jinquan Ye and Xie Guan},
title={A Comprehensive Evaluation of Economic Vitality and Markov's Prediction: An Empirical Study of a Major City in China},
booktitle={Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB,},
year={2020},
pages={49-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009469500490054},
isbn={978-989-758-422-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB,
TI - A Comprehensive Evaluation of Economic Vitality and Markov's Prediction: An Empirical Study of a Major City in China
SN - 978-989-758-422-0
AU - Xia Z.
AU - Ye J.
AU - Guan X.
PY - 2020
SP - 49
EP - 54
DO - 10.5220/0009469500490054