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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.