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Explaining the Poverty Difference between Inland and Coastal China: A Regression-based Decomposition Approach

机译:内陆和中国沿海地区的贫困差异解释:基于回归的分解方法

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This study proposes a decomposition framework for quantifying contributions of the determinants of poverty to spatial differences or temporal changes in poverty. This framework is then applied to address the issue why poverty incidence is higher in inland than in coastal China. The empirical application requires household or individual income observations which, generally speaking, are not available. Thus, a data-generation method developed by Shorrocks and Wan is introduced to construct such observations from grouped income data. It is found that inland China is poorer than coastal China, mainly due to lower efficiency in resource utilization rather than less endowment of resources. Also, trade became poverty-reducing in coastal China in the late 1990s but remained poverty-inducing in inland China. Policy implications are briefly discussed.
机译:这项研究提出了一个分解框架,用于量化贫困决定因素对贫困的空间差异或时间变化的贡献。然后将该框架用于解决为什么内陆贫困发生率高于沿海地区的问题。该经验性应用需要家庭或个人的收入观察,这通常是不可用的。因此,引入了由Shorrocks和Wan开发的数据生成方法,以便从分组收入数据构建此类观察值。发现中国内陆比沿海中国贫穷,这主要是由于资源利用效率较低而不是资源end赋较低。此外,在1990年代后期,贸易在中国沿海减少了贫困,但在中国内陆仍然引起了贫困。简要讨论了政策含义。

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