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Table 4 Results of probit regression

From: Does the future of a farm depend on its neighbourhood? Evidence on intra-family succession among fruit and vegetable farms in Italy

  Farm and farmer variables; no labour market and surrounding condition (LMSC) variables (model 3) Farm and farmer variables; LMSC variables in linear form (model 4) Farm and farmer variables; LMSC variables in non-linear form (model 7)
Farmer age 0.0121 0.0118 − 0.1481*
Farmer age_sq 0.0013*
Farmer degree − 0.9126*** − 0.9698*** − 0.8957***
Farmer children 0.0372 0.092 0.1379**
Turnover_250 − 0.3030* − 0.3309* − 0.3785**
Farm duration 0.0116*** 0.0108*** 0.01***
RPFV farm 0.8196** 0.4348 0.8985***
Fruit farm − 1.3773*** − 1.2117** − 1.1348**
Emplwork − 0.0108*** − 0.0113** − 0.0104*
Workdays 0.0007** 0.0006** 0.0007**
Workdays_sq 0.0000** 0.0000* 0.0000**
Distance 0.0080** −0.0004 − 0.0008***
Distance_sq 0.0000**
Popdens 0.0000 − 0.0036***
Popdens_sq 0.0000***
Empl 0.0164 2.7195***
Empl_sq − 0.025***
Agrshare − 11.2887*** − 4.8662
Incgap 0.1382*** − 1.3349***
Incgap_sq   0.0335***
Hills 0.7892 1.9286*** 2.3695***
Mountain 1.4278*** − 1.1795 − 10.8799***
Campania 0.6311* 1.0965 7.0349***
Piemonte −1.291*** − 2.2433*** − 7.041***
Veneto 0.1133 2.6116*** 1.6324**
Emilia-Romagna − 0.0911 0.5548 − 0.9747
Constant − 1.8808*** − 5.0828 − 57.2248**
N obs 259 259 259
Pseudo R2 23% 26% 30%
  1. *, ** and ***, denote significance at 10%, 5% and 1%, respectively
  2. The table reports three of seven different model specifications. The complete version with all the models is presented in Additional file 1: Annex 1
  3. The parameter estimates whose sign and significance are stable across different specifications are presented in italics (those not presented in Table 3 are available as supplemental material)