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本文提出了一个分解框架,旨在量化相关决定因素对贫困空间差异或跨时变化的贡献。同时,本文引入了Shorrocks and Wan(2008)提出的数据生成法,以便将分组数据转化成微观个体数据。把这些方法论运用于中国,我们解析了中国内地与沿海城市间的贫困差异。研究结果表明,内地的高贫困主要归因于资源利用效率的低下而不是资源禀赋的欠缺;收入分配的不平等也是造成内地高贫困的又一重要原因。贸易、FDI等衡量经济开放度的指标与贫困之间的关系因时因地而不同。
This paper presents a decomposition framework designed to quantify the contribution of relevant determinants to spatial differences or trans-temporal changes in poverty. At the same time, this paper introduces the data generation method proposed by Shorrocks and Wan (2008) in order to transform the grouping data into micro individual data. Using these methodologies in China, we have analyzed the differences in poverty between mainland China and coastal cities. The findings show that the high poverty in the hinterland is mainly due to the low efficiency of resource utilization rather than the lack of natural resource endowments. The inequality in income distribution is another important reason for the high poverty in the hinterland. The relationship between indicators of trade and FDI, etc., and measures of economic openness, and poverty are different from place to place.