Test of Convergence in Agricultural Factor Productivity: A Semiparametric A...

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英文文献：Test of Convergence in Agricultural Factor Productivity: A Semiparametric Approach-农业要素生产率的收敛性检验:半参数方法
英文文献作者：Paudel, Krishna P.,Pandit, Mahesh,Poudel, Biswo N.
英文文献摘要：
We tested for club convergence in U.S. agricultural total factory productivity using a sigma convergence test. We used the same club of states as used by McCunn and Huffman as well as different states within 10 clubs identified by the cluster analysis. Results showed convergence was evident only in a few club groups. Clusters group identified using a statistical method identified only converging clubs. Variables affecting total factor productivity among states were identified using parametric, semiparametric and nonparametric methods. Semiparametric and nonparametric methods gave a better fit than a parametric method as indicated by the specification test. Our results indicated that health care expenditure, public research and extension investment, and private expenditure are important variables impacting total factor productivity differences across states.

我们用西格玛收敛检验检验了美国农业工厂总产率中的俱乐部收敛性。我们使用了与McCunn和Huffman使用的相同的国家俱乐部，以及通过聚类分析确定的10个俱乐部中的不同国家。结果显示，收敛是明显的，只有在少数俱乐部组。群集组确定使用统计方法确定只会聚俱乐部。使用参数、半参数和非参数方法识别了影响状态间全要素生产率的变量。规范检验表明，半参数法和非参数法的拟合效果优于参数法。研究结果显示，医疗保健支出、公共研究和推广投资以及私人支出是影响州间全要素生产率差异的重要变量。

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