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Table 2 Descriptive statistics

From: How to assess future agricultural performance under climate change? A case-study on the Veneto region

VariableMeanStandard deviationMinMax
Agricultural yields22309400.7160225,000
Machinery3091416.6090104,000
Labor732.212699.750136,000
Land12.4727.350454
Water196.3013390400
  1. Note: As defined in the FADN dataset, agricultural yields and seeds are measured in quintals, machinery in hours of use; labor in hours of work; land in hectares; and water in cubic meters