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Allowing for Weather in Crop Production Model Building
Author(s) -
Oury Bernard
Publication year - 1965
Publication title -
american journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.949
H-Index - 111
eISSN - 1467-8276
pISSN - 0002-9092
DOI - 10.2307/1236574
Subject(s) - production (economics) , measure (data warehouse) , precipitation , work (physics) , arid , agricultural productivity , crop production , agricultural engineering , simple (philosophy) , agriculture , crop , environmental science , meteorology , computer science , geography , forestry , engineering , data mining , economics , ecology , biology , macroeconomics , mechanical engineering , philosophy , archaeology , epistemology
Several alternative methods have been presented to measure weather effects upon crop production. This paper presents two more methods. These are the work of de Martonne and Ångström in the 1920's and 1930's applied to an econometric production model. The use of composite “aridity indexes” might provide a relatively simple approach to a difficult problem encountered in agricultural supply analysis. The concept is simple and is not confined to a single agricultural area or to a single crop. The indexes, both de Martonne's and Ångström's, can be calculated wherever basic weather data—precipitation and temperature—are available.