Browsing by Author "GEMS Informatics Center"

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    Data Note: Spatializing South African Agricultural Censuses, 1918–2017 (Dataset)
    (2023-06-15) Senay, Senait D; Greyling, Jan C; Pardey, Philip G; Verhoef, Helene; ssenay@umn.edu; Senay, Senait D; GEMS Informatics Center
    Agriculture is an intrinsically spatial production process. Where on the landscape agriculture occurs affects the environmental (e.g., soil, water, climate) factors that have large output and production risk consequences. The location of agriculture also has substantial logistic, policy and market performance implications. To facilitate analysis of the spatial dynamics of agriculture, we developed a collection of new ADM 2 boundary files whose geographical dimensions and naming standards map directly to the 18 agricultural censuses that report farm inputs, outputs and related statistics for South African agriculture over the period 1918-2017. The statistical aggregates—representing Magisterial and Municipal Districts—, changed in number, area size and boundaries over time. Cross-referencing these changing statistical aggregates to our newly digitized census boundaries, is an essential step for any geospatial assessment of the causes and (productivity and environmental) consequences associated with the changing physical footprint of South African agriculture over the past century.
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    R&D Lags in Economic Models
    (2023-06-15) Wang, Shanchao; Alston, Julian M.; Pardey, Philip G.; ppardey@umn.edu; Pardey, Philip; GEMS Informatics Center
    The data files include primary and processed data that underpin the analysis reported in the paper "R&D Lags in Economic Models". The R files include all the code required to conduct the analysis reported in the paper.