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The Evaluation of Financial Ecological Environment and Optimization Research in Liaoning Province: Based on the Empirical Research With Factor Analysis and Panel Threshold 2008-2014

The Evaluation of Financial Ecological Environment and Optimization Research in Liaoning Province: Based on the Empirical Research With Factor Analysis and Panel Threshold 2008-2014

Yu Wang, Haoyang Gao, Haomin Du, Kaifeng Wu, Yuqing Chen
Copyright: © 2020 |Pages: 27
ISBN13: 9781799834953|ISBN10: 1799834956|ISBN13 Softcover: 9781799834960|EISBN13: 9781799834977
DOI: 10.4018/978-1-7998-3495-3.ch005
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MLA

Wang, Yu, et al. "The Evaluation of Financial Ecological Environment and Optimization Research in Liaoning Province: Based on the Empirical Research With Factor Analysis and Panel Threshold 2008-2014." Sustainability in the Entrepreneurial Ecosystem: Operating Mechanisms and Enterprise Growth, edited by Yang Gao, et al., IGI Global, 2020, pp. 105-131. https://doi.org/10.4018/978-1-7998-3495-3.ch005

APA

Wang, Y., Gao, H., Du, H., Wu, K., & Chen, Y. (2020). The Evaluation of Financial Ecological Environment and Optimization Research in Liaoning Province: Based on the Empirical Research With Factor Analysis and Panel Threshold 2008-2014. In Y. Gao, S. Tsai, X. Du, & C. Xin (Eds.), Sustainability in the Entrepreneurial Ecosystem: Operating Mechanisms and Enterprise Growth (pp. 105-131). IGI Global. https://doi.org/10.4018/978-1-7998-3495-3.ch005

Chicago

Wang, Yu, et al. "The Evaluation of Financial Ecological Environment and Optimization Research in Liaoning Province: Based on the Empirical Research With Factor Analysis and Panel Threshold 2008-2014." In Sustainability in the Entrepreneurial Ecosystem: Operating Mechanisms and Enterprise Growth, edited by Yang Gao, et al., 105-131. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-3495-3.ch005

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Abstract

This chapter constructs a system of financial ecological environment that is based on the multiple indicators: economic foundation, financial development, and institutional environment of 14 cities in Liaoning Province from 2008 to 2014. In addition, it supplements a measurement of influence of financial quality and uses the factor analysis method and panel threshold model to explore the dynamic evolution characteristics and optimization route of financial ecological environment. The empirical study shows that (1) the whole trend performs as an inversed U shape with the characteristics of rising at first and then declining and its influential mechanisms are disparate in different periods; (2) the financial ecological environment qualities of coastal cities rank in the upper and middle reaches of the overall rankings, while the qualities of inland cities comparatively fall behind; (3) the impact of urban financial ecological environment on economic growth in Liaoning Province presents as a non-linear single threshold, and the threshold values are 0.48, 0.52, 0.46, and 0.41, respectively.

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