Environment‐Specific Rates and Biases of Technical Change in Agriculture
提出一个模型，在环境质量信息有限的情况下，估算不同环境下的技术变化速率和要素偏向，并用菲律宾数据揭示灌溉与非灌溉地区的显著差异及其对就业和收入分配的影响。
Abstract In developing countries, growth rates of agricultural technology exhibit wide variation across environments because of heterogeneity of land quality. Technical change analyses employing aggregate data typically capture this information very imperfectly, because observation units rarely coincide with areas of environmental uniformity. The author presents a model permitting environment‐specific variation in the rate and factor bias of technical change when information on environmental qualities is limited. An application using Philippine data reveals substantial discrepancies between stylized irrigated and nonirrigated areas in the rate and biases of technical change. Implications of these differences for employment growth and income distribution are analyzed.