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Table 5 Determinants of inefficiencies in district hospitals of Bangladesh

From: Technical efficiency of public district hospitals in Bangladesh: a data envelopment analysis

Variables Coefficient (dependent variable = CRS technical inefficiency) Coefficient (dependent variable = VRS technical inefficiency)
Population
 1 to 2.5 million (Ref ≤ 1 million) − 0.117 (− 0.345, 0.111) 0.091 (− 0.122, 0.304)
 Over 2.5 million (Ref ≤ 1 million) − 0.238* (− 0.497, 0.021) 0.059 (− 0.183, 0.301)
Poverty headcount
 15% to 30% (Ref ≤ 15%) − 0.422** (− 0.784, − 0.059) − 0.376** (− 0.720, − 0.032)
 30% > (Ref ≤ 15%) − 0.256 (− 0.601, 0.090) − 0.340** (− 0.669, − 0.011)
Bed occupancy ratio − 0.637*** (− 0.813, − 0.462) − 0.248*** (− 0.407, − 0.090)
Average length of stay 0.031 (− 0.016, 0.078) 0.026 (− 0.018, 0.070)
Ratio of beds to physicians − 0.046*** (− 0.074, − 0.018) − 0.006 (− 0.031, 0.020)
Ratio of beds to nurses − 0.055** (− 0.109, − 0.000) 0.009 (− 0.043, 0.060)
Administrative division
 Chittagong (Ref = Barisal) − 0.372** (− 0.718, − 0.027) 0.007 (− 0.288, 0.303)
 Dhaka (Ref = Barisal) − 0.442*** (− 0.761, − 0.124) − 0.060 (− 0.335, 0.214)
 Khulna (Ref = Barisal) − 0.291* (− 0.619, 0.038) 0.059 (− 0.226, 0.345)
 Mymensingh (Ref = Barisal) − 0.242 (− 0.664, 0.180) 0.136 (− 0.243, 0.515)
 Rajshahi (Ref = Barisal) − 0.461** (− 0.818, − 0.105) 0.133 (− 0.182, 0.448)
 Rangpur (Ref = Barisal) − 0.248 (− 0.550, 0.054) 0.086 (− 0.186, 0.358)
 Sylhet (Ref = Barisal) 0.022 (− 0.355, 0.399) 0.337* (− 0.010, 0.684)
Constant 2.363*** (1.602, 3.124) 0.616* (− 0.063, 1.294)
Sigma 0.256*** (0.205, 0.307) 0.244*** (0.198, 0.289)
N 62 62
Log-likelihood − 10.74 − 3.845
Chi square (10) 56.71 23.32
p-value 0.000 0.08
R-square 0.730 0.752
  1. * p < 0.10, ** p < 0.05, *** p < 0.01