文献类型： 外文期刊

第一作者： Zhang, XB

作者： Zhang, XB;Fan, SG

作者机构：

关键词： agricultural productivity;causality;GMM;India;infrastructure

期刊名称：AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS （ 影响因子：4.082； 五年影响因子：4.461 ）

ISSN： 0002-9092

年卷期： 2004 年 86 卷 2 期

页码：

收录情况： SCI

摘要： There have been competing arguments about the effect of public infrastructure on productivity. Level-based and debate-based regressions often lead to different estimates. To help reconcile this difference, this article applies the GMM method to first test for causality to check for length of lagged relationships and the existence of reverse causality before specifying a final model and deciding the estimation procedure. This approach is illustrated using a panel data set for India. The results show that infrastructure development in India is productive, providing supporting evidence to reverse the trend of declining investment in rural infrastructure.

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