Skip to main content

Table 4 Measures of market concentration using the Herfindahl Index

From: Performance, behaviour and organization of maize trading in Malawi

District Market N Market HI District HI PCM $\epsilon_i$ϵ
Kasungu Kasungu 15 .370 .285 .059 .070
  Chamama 14 .843 .285 .280 .424
Nkhamenya 3 .557 .285 .147 .002
Chatoloma 2 .966 .285 .150 .331
Dowa Dowa 12 .452 .372 .230 .055
Mponela 11 .761 .372 .500 .248
Madisi 12 .259 .372 .235 .265
Lilongwe Kasiya 10 .430 .215 .265 .049
  Lilongwe 21 .505 .215 .190 .262
Mitundu 17 .619 .215 .328 .224
Nkhoma 10 .451 .215 .328 .128
Mchinji Mchinji 10 .419 .327 .205 .525
Kapiri 14 .205 .327 .285 .753
Dedza Chimbiya 10 .258 .192 .310 .059
Bembeke 10 .208 .192 .165 .014
Market   10     
  1. PCM = [(Sales revenue − Variable costs)/Sales revenue] si = market share calculated as cumulative maize quantity supplied by a trader divided by total quantity of maize supplied by all traders. ϵi = PCMi/si is the price elasticity of demand.