摘要
利用新疆84个县域2009-2018年农业投入与产出数据,基于HicksMoorsteen指数测算农业全要素生产率的增长水平,通过Dagum基尼系数分解法与扩展的分布动态学模型,揭示新疆农业全要素生产率增长的区域差异及分布动态演进规律.研究发现:新疆农业全要素生产率指数整体偏低,空间分异程度呈现先扩大后缩小的趋势,超变密度是农业全要素生产率增长分异的主要来源,农业全要素生产率增长具有β收敛特征.
Improving agricultural total factor productivity is an inevitable choice to promote the high-quality development of agriculture and realize the strategy of rural revitalization.Based on the agricultural input and output data of 2018,the Hicks-Moorsteen index was used to calculate the growth level of agricultural total factor productivity,and the Dagum Gini coeficient decomposition method and extended distribution dynamic model were used to reveal the regional difference and distribution dynamic evolution rule of agricultural total factor productivity growth in Xinjiang.Research findings:The total factor productivity index of Xinjiang was lower on the whole;The spatial variation of agricultural total factor productivity growth in Xinjiang tends to expand first and then shrink;Super variable density is the main source of growth differentiation of agricultural total factor productivity;The agricultural total factor productivity growth in Xinjiang isβconvergence.
作者
侯震梅
周天宇
周勇
HOU Zhen-mei;ZHOU Tian-yu;ZHOU Yong(School of Statistics and Data Science,Xinjiang University of Finance and Economics,Urumqi 830012,China)
出处
《数学的实践与认识》
北大核心
2024年第4期1-17,共17页
Mathematics in Practice and Theory
基金
国家自然科学基金项目“新疆城乡收入差距与经济包容增长机制研究”(72064034)。
关键词
农业全要素生产率
区域差异
分布动态
基尼系数
arricultural total factor productivity
regional differences
distribution dynamic
Gini coefficiental