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Reducing the maize yield gap in Ethiopia: Decomposition and policy simulation
Agricultural Systems ( IF 6.6 ) Pub Date : 2020-08-01 , DOI: 10.1016/j.agsy.2020.102828
Michiel van Dijk , Tomas Morley , Marloes van Loon , Pytrik Reidsma , Kindie Tesfaye , Martin K. van Ittersum

Maize is an important staple crop in Ethiopia. Reducing the yield gap - the difference between actual and (water-limited) potential yield - has wide implications for food security and policy. In this paper we combine stochastic frontier analysis of household survey data with agronomic information on (water-limited) potential yield to decompose the maize yield gap in Ethiopia and highlight policy solutions to reduce the yield gap. Our analysis suggests that lack of access to advanced technologies makes up the largest component of the maize yield gap but market imperfections, economic constraints and management constraints are also important determinants. Potentially, maize production can be increased almost fivefold if all these constraints would be addressed simultaneously and the yield gap could be fully closed. Another finding of the paper is measurement issues in the national household survey (LSMS-ISA), a key source of information for scientists to assess agricultural policies in Ethiopia and other African countries. A comparison with results from a crop model suggests a large number of unrealistic values related to key maize input and output variables. Combining economic and agronomic approaches is therefore not only useful to identify policies to reduce maize yield gaps, but also to assess and improve the quality of data-bases on which recommendations are made.

中文翻译:

减少埃塞俄比亚玉米产量差距:分解和政策模拟

玉米是埃塞俄比亚重要的主粮作物。减少产量差距 - 实际产量和(限水)潜在产量之间的差异 - 对粮食安全和政策具有广泛影响。在本文中,我们将住户调查数据的随机前沿分析与(限水)潜在产量的农艺信息相结合,以分解埃塞俄比亚的玉米产量差距,并强调缩小产量差距的政策解决方案。我们的分析表明,无法获得先进技术是玉米产量差距的最大组成部分,但市场不完善、经济限制和管理限制也是重要的决定因素。如果同时解决所有这些限制并完全缩小产量差距,则玉米产量可能会增加近五倍。该论文的另一个发现是全国住户调查 (LSMS-ISA) 中的测量问题,这是科学家评估埃塞俄比亚和其他非洲国家农业政策的重要信息来源。与作物模型结果的比较表明,与关键玉米输入和输出变量相关的大量不切实际的值。因此,结合经济和农艺方法不仅有助于确定减少玉米产量差距的政策,而且有助于评估和提高提出建议的数据库的质量。与作物模型结果的比较表明,与关键玉米输入和输出变量相关的大量不切实际的值。因此,结合经济和农艺方法不仅有助于确定减少玉米产量差距的政策,而且有助于评估和提高提出建议的数据库的质量。与作物模型结果的比较表明,与关键玉米输入和输出变量相关的大量不切实际的值。因此,结合经济和农艺方法不仅有助于确定减少玉米产量差距的政策,而且有助于评估和提高提出建议的数据库的质量。
更新日期:2020-08-01
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