Human Development and Regional Disparities in Iran:A Policy Model



The target for all provinces can be computed using the above procedure. For example the
targets for province 19 (Mazandaran) is computed as follows.

From Table B2 we can see that all provinces are homogenous to this province with the
exceptions of provinces 15, 16, 20, 22, 23 and 24 as these have a distance higher than the
minimum critical distance with province 19. From the remaining provinces only provinces 5,
6, 10, 11, 12, 18, 21 and 25 have a higher level of RHDI than this province (see Table 1). These
provinces, and province 19, provide a basis for computing the targets for this province from
Table B1. The average targets for province 19 computed from these remaining provinces (and
province 19) are presented in Table 3 next to actual values for the selected indicators.

Table 3. Actual values and computed targets
for province 19 (Mazandaran) for all indicators

Indicator

Actual value

Target value

LE

67.4

67.7

AL

72

74.1

RCPC

1557

1732

SFWA

93

94.7

SANA

64.6

71.6

RCP20

371

419.4

FPENR

97.3

97.9

FSENR

67

64.8

INFS

961.1

961.8

MATS

972

972.2

PENR

116.6

118.4

SENR

84.2

80.8

R&DST

35.1

58.0

LF

26.8

27.4

LFIND

22.3

29.8

LFSER

41.4

44.6

Note that the computed targets for two indicators are lower than their actual values. This issue
will be addressed later in this paper.

Computed targets for all provinces and all indicators are presented in Table B3 in Appendix
B.13

A few points about the proposed procedure are notable at this stage. The method relies on the
computation of the targets from the actual values belonging to a homogenous group. Hence, it

11



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