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Table 2 Descriptive statistics of key variables in the matching procedure

From: Can producer groups improve technical efficiency among artisanal shrimpers in Nigeria? A study accounting for observed and unobserved selectivity

Variables Unmatched Matched
MEM CONN Diff MEM CONN Diff
Mean Mean Mean Mean
TOTALCAP 56,262.54 44,962.97 11,299.56*** 55,891 44,735 11,156**
Inputs
ENGINEOPER 1.63 1.43 0.20** 1.64 1.42 0.22*
FUELCOST 200,483.40 174,351.80 26,131.60** 203,116 180,000 23,116
USEFULSEINE 2.28 2.14 0.14 2.25 2.08 0.17
LEADERSEMP 0.95 0.60 0.35*** 0.93 0.61 0.32**
HELPERSEMP 1.34 0.91 0.43*** 1.32 1.01 0.32**
Variables in the matching procedure
AGE 43.87 38.83 5.04*** 43.67 43.26 0.41
EXPERIENCE 21.11 16.03 5.07*** 20.84 20.39 0.45
EDUCYEAR 8.67 8.10 0.56 8.66 8.56 0.10
REPEAT 0.04 0.12  − 0.07 0.04 0.02 0.02
FEMLABSHR 1.27 1.35  − 0.08 1.25 1.14 0.11
FEMAS 0.41 0.15 0.26*** 0.39 0.43  − 0.04
AKWA-IBOM 0.18 0.19  − 0.01 0.19 0.18 0.01
ONDO 0.11 0.41 0.30*** 0.11 0.12  − 0.01
MOBILE 0.94 0.88 0.06* 0.94 0.93 0.01
EXTENSION 0.14 0.02 0.12*** 0.13 0.06 0.09
CREDIT 0.33 0.21 0.12** 0.30 0.33  − 0.03
CUSTOMERS 2.38 2.58 0.20 2.40 2.13 0.27
SHOCK 0.64 0.69  − 0.05 0.64 0.67  − 0.03
TAROAD 0.36 0.22 0.14*** 0.36 0.31 0.05
LEADER 0.08 0.14  − 0.06 0.09 0.10  − 0.01
COOPa 0.24 0.07 0.18*** 0.23 0.26  − 0.03
Observations 95 258   92 258  
  1. aThis is a traditional form of cooperation whereby fishers and non-fishers contribute to informal savings and credit associations for their mutual benefit. It represents a more generic form of cooperative association at the local level and captures the social participation of fishers in other groups
  2. *p < 0.1; **p < 0.05; ***p < 0.01
  3. Source: Authors’ calculation based on survey data