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

Agricultural and Food Economics

Table 2 Descriptive statistics

Variable	Mean	Standard deviation	Max
Agricultural yields	2230	9400.716	225,000
Machinery	309	1416.609	104,000
Labor	732.21	2699.75	136,000
Land	12.47	27.35	454
Water	196.30	1339	400

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