精准扶贫财政激励政策对经济高质量增长贡献率研究  

Accurate Poverty Alleviation, Fiscal Policy Incentives and High-Quality Economic Growth

作　　者：郑亚男 庄科俊[1] ZHENG Ya-nan;ZHUANG Ke-jun(School of Statistics and Applied Mathematics,Anhui University of Finance and Economics,Bengbu 233030,Anhui,China)

机构地区：[1]安徽财经大学统计与应用数学学院,安徽蚌埠233030

出　　处：《喀什大学学报》2018年第6期20-26,共7页Journal of Kashi University

基　　金：国家自然科学基金项目"基于惩罚似然的变量选择方法及其在高维数据模型中的应用"(71803001);安徽省哲学社会科学规划项目"社会资本视图下多元协同精准扶贫机制构建与实现路径研究"(AHSKQ2017D01);安徽财经大学研究生科研创新基金项目"旅游扶贫机制及效应研究--以六安市大别山区为例"(ACYC2017227)

摘　　要：使用主成分分析法测算了2013～2016年中部六省80个市的经济增长质量,通过动态面板模型考察了各地区扶贫政策对经济高质量增长的作用.结果显示,中部地区实行的扶贫政策总体上提升了经济增长质量,且各省的地区生产总值均在上升,但安徽、江西、湖北、河南地区扶贫政策对经济增长质量的拉动作用不明显.结合这些地区具体实行的扶贫政策,最后提出了一些政策建议.This paper uses principal component analysis method to measure the quality of economic growth of 80 cities in six provinces in central China during 2013-2016,and examines the role of poverty alleviation policies in the quality of economic growth in each region.The results show that the poverty alleviation policies implemented in the central region have generally improved the quality of economic growth.However,the results of sub-regional studies show that although the GDP of each province is rising,the poverty alleviation policies of Anhui,Jiangxi,Hubei and Henan have reduced the quality of economic growth.Combined with the specific poverty alleviation policies implemented in these areas,some policy recommendations are put forward at the end.

关 键 词：经济高质量增长 财政政策 精准扶贫 主成分分析 动态面板模型 

分 类 号：O29[理学—应用数学] F224.0[理学—数学]