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机构地区:[1]武夷学院商学院,福建武夷山354300 [2]华侨大学城市建设与经济发展研究院,福建泉州362021
出 处:《牡丹江师范学院学报(社会科学版)》2017年第2期47-56,共10页Journal of Mudanjiang Normal University(Social Sciences Edition)
基 金:福建省社会科学规划项目"(FJ2015C241);福建省社会科学规划项目(FJ2015C243);福建省教育厅中青年教师教育科研项目(JAS150608)
摘 要:基于2001-2014年福建省58个县级市的数据,利用半参数地理加权回归(SGWR)模型,对福建省县域产业结构升级的影响因素进行实证研究。空间自相关分析结果显示:福建省县域产业结构存在显著的空间自相关性和异质性,具有明显集聚特征;采用包含全局和局域解释变量的SGWR模型的统计性质明显优于传统全局线性回归模型与全变参数的地理加权回归模型;实证结果进一步发现:金融集聚、金融发展效率、财政支出对产业结构升级的影响具有明显的空间异质性,即在东南地区和西北地区的影响存在较大差异,城镇化和投资回报率则具有全域常参数特征。最后,根据实证结论提出促进县域产业结构升级的差异化政策建议。Based on datum of 58county-level cities from 2001 to 2014in Fujian province,this article uses of semi-parametric Geographically Weighted Regression(SGWR)model to empirically analyze factors affecting industrial structure upgrading of county-level cities in Fujian province.Spatial autocorrelation analysis shows regional industrial structure in Fujian has significant spatial autocorrelation and heterogeneity and significant agglomeration characteristics.The statistical test proves that semi-parametric GWR model including global and local independent variables is obviously superior to traditional linear regression model and all-varying parameters geographically weighted regression model.Empirical study results further finds that impact of financial concentration,the efficiency of financial development,fiscal expenditure on industrial structure upgrading has obvious spatial heterogeneity,the difference of which in the southeast and northwest area of Fujian Province is very large,and the variables such as czh and tzhbl have global features.Finally,we summarize the empirical conclusions and propose some difference policy recommendations to promote the county industrial structure upgrading.
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