辽宁省金融生态环境评价及优化研究—基于2008~2014年因子分析和门限模型的实证研究

顾文文, 王晓煜, 盛怡菲
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Abstract

基于2008~2014年辽宁省14个城市经济基础、金融发展及制度环境子指标构建的金融生态环境指标体系,补充考虑金融质量层面的测度并运用因子分析法与门限模型对辽宁省金融生态环境动态演化特征及优化路径的实证进行研究发现:1) 辽宁省金融生态环境总体呈现先上升后下降的倒U特征且不同时期影响机理存在差异;2) 沿海城市金融生态环境质量总体排名中上游,内陆城市金融生态环境质量相对较差;3) 辽宁省城市金融生态环境对经济增长影响呈现非线性的单门槛特征,金融生态环境及其子指标的门限值分别为0.48、0.52、0.46、0.41,并据此实证找出辽宁省金融生态环境的优化区间。 Based on the sub-indicators of economic foundation, financial development and institutional en-vironment in 14 cities of Liaoning Province, we construct the financial ecological environment system, and also we complementally measure the influence of financial efficiency, and use factor analysis and panel threshold together to explore the dynamic evolutionary character and optimization route: 1) the whole trend performs an inversed U character with different influential mechanisms in different periods; 2) the ranking of financial ecological environment in coastal cities is at the level upper reaches, while the inland cities comparatively fall behind; 3) single threshold exists in the nonlinear effect of financial ecological environment to economic growth, and the value is 0.48, 0.52, 0.46, 0.41 respectively, then finding the optimization interval of financial ecological environment accordingly in Liaoning Province.
辽宁省金融生态环境评价及优化研究—基于2008~2014年因子分析和门限模型的实证研究
基于2008~2014年辽宁省14个城市经济基础、金融发展及制度环境子指标构建的金融生态环境指标体系,补充考虑金融质量层面的测度并运用因子分析法与门限模型对辽宁省金融生态环境动态演化特征及优化路径的实证进行研究发现:1) 辽宁省金融生态环境总体呈现先上升后下降的倒U特征且不同时期影响机理存在差异;2) 沿海城市金融生态环境质量总体排名中上游,内陆城市金融生态环境质量相对较差;3) 辽宁省城市金融生态环境对经济增长影响呈现非线性的单门槛特征,金融生态环境及其子指标的门限值分别为0.48、0.52、0.46、0.41,并据此实证找出辽宁省金融生态环境的优化区间。 Based on the sub-indicators of economic foundation, financial development and institutional en-vironment in 14 cities of Liaoning Province, we construct the financial ecological environment system, and also we complementally measure the influence of financial efficiency, and use factor analysis and panel threshold together to explore the dynamic evolutionary character and optimization route: 1) the whole trend performs an inversed U character with different influential mechanisms in different periods; 2) the ranking of financial ecological environment in coastal cities is at the level upper reaches, while the inland cities comparatively fall behind; 3) single threshold exists in the nonlinear effect of financial ecological environment to economic growth, and the value is 0.48, 0.52, 0.46, 0.41 respectively, then finding the optimization interval of financial ecological environment accordingly in Liaoning Province.
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