Explaining agricultural productivity growth: an international perspective
用随机前沿分析和数据包络分析测算了88个国家1970-2001年的农业全要素生产率增长率，发现政策与制度变量（如公共农业支出和亲农价格改革）是生产率增长的重要决定因素。
Abstract This article presents multi‐output, multi‐input total factor productivity (TFP) growth rates in agriculture for 88 countries over the 1970–2001 period, estimated with both stochastic frontier analysis (SFA) and the more commonly employed data envelopment analysis (DEA). We find results with SFA to be more plausible than with DEA, and use them to analyze trends across countries and the determinants of TFP growth in developing countries. The central finding is that policy and institutional variables, including public agricultural expenditure and proagricultural price policy reforms, are significant correlates of TFP growth. The most significant geographic correlate of TFP growth is distance to the nearest OECD country.