Export Processing Zones in Madagascar: a Success Story under Threat?

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World Development Vol. 33, No. 5, pp. 785–803, 2005
                                                                           Ó 2005 Elsevier Ltd. All rights reserved
                                                                                          Printed in Great Britain
www.elsevier.com/locate/worlddev                                                   0305-750X/$ - see front matter
                                    doi:10.1016/j.worlddev.2005.01.007

            Export Processing Zones in Madagascar:
                a Success Story under Threat?
           JEAN-PIERRE CLING, MIREILLE RAZAFINDRAKOTO
                           and FRANÇOIS ROUBAUD *
         DIAL and Institut de Recherche pour le Développement, Paris, France
        Summary. — The success of export processing zones or the Zone Franche in Madagascar since 1990
        is, with the exception of Mauritius, an isolated and unknown case in Africa. This paper, based on
        first-hand data, explains that the Zone Franche has had a highly significant macroeconomic impact
        in terms of exports and jobs. We show that average wages in the Zone Franche are equivalent to the
        other formal activity sectors, other things being equal, and that labor standards there are higher
        than average. The Zone Franche quickly recovered from the 2002 crisis and has benefited a great
        deal from AGOA. The final phase-out of the Multi-Fibre Arrangement in 2005 is expected to have
        a negative impact on the Zone Franche.
        Ó 2005 Elsevier Ltd. All rights reserved.

        Key words — export processing zones, employment, wages, AGOA, Africa, Madagascar

              1. INTRODUCTION                                the introduction of another (a subsidy). This
                                                             implies that the impact of these systems on
  There has been a significant increase in the                well-being in the host country is, in principle,
number of export processing zones (EPZs) set                 undetermined. In his seminal study based on
up in developing countries in recent years.                  a Hecksher–Ohlin model with two factors of
The International Labour Organization (ILO)                  production and two goods, Hamada (1974)
reports that 116 countries had such systems in               demonstrated that the establishment of an
2002 compared with just 25 in 1975. Total                    EPZ leads to specialization that runs contrary
employment in EPZs worldwide rose from less                  to the host country’s real comparative advanta-
than one million to 13 million employees over                ges and tends to reduce national well-being.
the same period, excluding China (ILO, 2003).                Conversely, other neoclassical economists con-
This increase can be explained by the fact that              sider that the creation of EPZs improves a
nearly all the developing countries have now                 country’s well-being (Miyagiwa, 1986; Young
adopted export-led growth policies, which have               & Miyagiwa, 1987). Despite this uncertainty,
encouraged them to actively promote foreign                  most empirical cost–benefit analyses underline
investment. These EPZs are generally special-                the positive returns generated by EPZs, partic-
ized in the production of labor-intensive con-               ularly in terms of foreign exchange earnings
sumer goods, mainly clothing, based on a                     and employment (Jayanthakumaran, 2003; Jen-
specialization strategy applied by most of the               kins, Esquivel, & Larrain, 1998; Warr, 1989). In
countries in the initial stages of their industrial          addition, the new growth theory stresses the ef-
development (Amsden, 2001). In particular,                   fects of the potential externalities of EPZs on
there is a strong correlation between growth                 the host economy, such as learning effects, hu-
in the EPZs and the Multi-Fibre Arrangement                  man capital development, and demonstration
(MFA), given that investment in these zones                  effects (Johansson, 1994; Johansson & Nilsson,
has served to circumvent textile quotas for over
30 years (Jayanthakumaran, 2003).
  In the economic theory, EPZs are a second-                 * The authors wish to thank Peter Glick and four ano-
best optimum, consisting in offsetting the re-                nymous referees for their comments on an earlier draft.
moval of one distortion (a customs duty) with                Final revision accepted: January 5, 2005.
                                                       785
786                                   WORLD DEVELOPMENT

1997). Whatever the case may be, spillover ef-       was hard hit by the split in the government, the
fects and externalities are probably limited due     capital Antananarivo (where most Zone Fran-
to the EPZs’ low level of integration into the       che companies were established) being block-
local economy (duty-free imports act as import       aded and a general strike (Raison-Jourde &
subsidies and prompt minimal local integra-          Raison, 2002; Roubaud, 2002). 4 Although
tion), the low skills of the labor employed, and     the crisis came to a peaceful conclusion in July
the potential volatility of foreign investment.      2002, a large number of companies had by then
   The findings of these studies are less clear-cut   already left for good. Preliminary export and
when it comes to wages paid by the EPZs com-         employment figure estimates for 2004 suggest
pared with the rest of the economy. They all         that business has returned to its precrisis levels.
agree that the situation varies enormously from      The Zone Franche association reports that there
one country and sector to the next. Limiting the     were 180 firms in business with over 100,000
study to the textile and clothing sector, Romero     employees at the end of 2004. Of these, 124
(1995) and Kusago and Tzannatos (1998) con-          were textile companies, 12 were food compa-
sider that there are no significant differences be-    nies, and 12 were specialized in information
tween the wages paid in Asian EPZs and those         technology.
paid by other companies in the same sector.             In this article, we look at the Zone Franche’s
The economic literature on the subject suggests      macroeconomic and microeconomic impact to
that, since most of the labor is female, the low     determine whether the effects generally ob-
average wages can be explained by low skills         served in the rest of the world hold in Madagas-
and the wage discrimination generally suffered        car too. We also look at the zone’s prospects.
by women, without EPZs appearing to practise         Our study draws on international foreign trade
a systematic policy of specific remuneration for      databases to fill the gaps in national customs
given jobs (Madani, 1999). However, it should        statistics and some national statistical sources
be noted that none of the abovementioned             with no other equivalent in sub-Saharan Africa:
studies is based on individual wage data, but        Labor force surveys (LFSs) conducted annually
on average sector wages. 1                           in the Malagasy capital and industrial surveys
   Since the abovementioned studies agree that       conducted at the authors’ initiative from 1995
EPZs do not practise specific wage discrimina-        to 2003. These data together serve to make an
tion, their poor image in terms of labor issues      in-depth analysis and compare the results ob-
stems mainly from the fact that working condi-       tained for Madagascar with those for other
tions are generally deemed harder than in the        countries and regions of the world. To our
other economic sectors. Labor legislation is         knowledge, this is the first study to consider
not applied as strictly as elsewhere, and some-      the Zone Franche from the point of view of
times not at all (ICFTU, 2003; ILO, 2003);           all these aspects since the seminal paper by
working hours are longer and the pace of work        Razafindrakoto and Roubaud (1997).
is faster; and trade unions are often forbidden         In Section 2, we describe the Zone Franche’s
(as was the case until recently in Bangladesh)       booming growth in Madagascar in the 1990s
or at least discouraged (hence the term sweat-       and since the 2002 political crisis, and assess
shops sometimes used in their regard).               its contribution to export performances. Sec-
   Madagascar is the only example, alongside         tion 3 analyzes its effect on employment, in-
Mauritius, of significant EPZ success in sub-         come, and taxes. Section 4 looks at the Zone
Saharan Africa where all other free-zone initia-     Franche’s impact on earned income using esti-
tives have failed despite numerous attempts. 2       mated earnings equations to compare wages
The example of Mauritius is well known, but          paid in Zone Franche companies with other sec-
not so the Malagasy EPZs otherwise known             tors of the economy. Section 5 compares Zone
as the Zone Franche. 3 Yet the Zone Franche          Franche working conditions and other labor
has developed quite remarkably in just one dec-      standards with other companies. Section 6 pre-
ade: It has gained considerable ground in terms      sents the summary and conclusion.
of exports and formal employment, making a
significant contribution to the economic upturn
observed in the second half of the 1990s. The         2. THE ZONE FRANCHE AND EXPORT
open political conflict that followed the dis-                   PERFORMANCE
puted presidential election in December 2001
had a drastic effect on the Zone Franche                The introduction of a special scheme for free-
(IMF, 2003). In the first half of 2002, the island    zone companies in Madagascar in 1990 fol-
EXPORT PROCESSING ZONES IN MADAGASCAR                                    787

lowed the decision to opt for an export-led         India. Although labor productivity is appar-
growth strategy under the structural adjust-        ently much lower in Madagascar than in Mau-
ment policies adopted in the late 1980s in          ritius or China (and equal to that in India), unit
compliance with Bretton Woods Institution           production costs are among the lowest in the
recommendations. The law passed in 1991 de-         world and lower than in the other three coun-
fined the scheme’s scope and the tax incentives      tries.
granted Zone Franche companies (GEFP,                  As many Asian countries had already satu-
2002), which are under no obligation to set up      rated their quotas, the choice of Madagascar
in specific zones. Companies wishing to be part      also helped circumvent the textile quotas im-
of the free-zone scheme must intend to export       posed by the developed countries under the
at least 95% of their production. Companies         MFA. Hence, the Central Bank of Madagascar
providing services to the Zone Franche can also     (2002) reported that clothing accounted for
benefit from the free-zone scheme.                   90% of the Zone Franche’s production in 2001.
   Zone Franche companies are exempt from all       Madagascar enjoys duty-free and quota-free
duties and taxes on exports and imports alike.      access to the European and American markets:
As regards domestic tax, they are exempt from           — Madagascar has been AGOA (African
excise taxes, but have been liable for Value            Growth and Opportunity Act) eligible since
Added Tax (VAT) on imported inputs since                2001. Starting in 1997–98, investments were
1997, although this can be refunded at a later          made in the Zone Franche in anticipation
date against proof of export. This measure              of AGOA (Gibbon, 2003). Yet although
was introduced to curb tax evasion and prevent          AGOA authorizes duty-free access to the
companies supplying the local market from set-          American market for the products it covers,
ting up as Zone Franche companies. The Zone             it imposes restrictive conditions in terms of
Franche scheme grants total exemption from              inputs (‘‘third-party fabric provision’’),
profit tax for a grace period of two years for           which must come either from the United
labor-intensive farming and fishing companies            States or other countries benefiting from
and four years for industrial and service com-          the agreement. However, Madagascar was
panies. These companies are liable for a fixed           granted a dispensation for its clothing sector
rate of 10% thereafter, which is far lower than         to use inputs from other countries. In 2004,
the general rate of 35%. They are also eligible         this was extended through to the end of
for profit tax breaks equal to 75% of the cost           2007.
of new investments. Last but not the least, Zone        — Madagascar also benefits from tax-free
Franche companies are granted special access to         access to the European market under the
foreign currency and total freedom for capital          terms of the Cotonou Agreement signed
transfers.                                              between the EU and the ACP (Africa–
   The success of the Zone Franche was initially        Caribbean–Pacific) States and, since 2001,
due to French investors, attracted by a French-         under the ‘‘Everything But Arms’’ (EBA)
speaking environment where a large number of            initiative covering all LDCs (least developed
their compatriots had already set up business           countries). The rules of origin are particu-
(Madagascar has the largest French community            larly strict under these agreements too, espe-
in Africa). Yet investors gradually became              cially as regards the EBA.
more diverse. By 1997, the last year for which         Clothing exports are concentrated on the
official data are available, French investors         American and European markets, which are
(companies in which France has a majority           the top two markets worldwide for these prod-
holding) accounted for 46% of jobs in the Zone      ucts. Sales to the European market grew
Franche, Mauritians (Madagascar’s next door         through to 1998 before stagnating thereafter.
neighbors) for 28%, Madagascans for 11%,            Sales to the American market, which were mar-
and Asian investors for 7% (with the remaining      ginal until 2000, then took over due to AGOA
8% from various other countries) (MADIO,            and drove growth in the Zone Franche. Mala-
1999). 5 Investors sought primarily to take         gasy clothing exports to the United States
advantage of low labor costs in Madagascar.         nearly tripled from 1999 to 2001, reaching al-
Cadot and Nasir (2001) report that the monthly      most the same level as those to the European
wage for an unskilled textile industry machine      Union. Yet although trade preferences played
operator is less than one-third of the equivalent   an important role in this trend, they would
wage in Mauritius, around half that in China,       not have been taken up had it not been for
and only about 60% of the average wage in           the tax breaks granted under the EPZ scheme.
788                                        WORLD DEVELOPMENT

EPZ managers interviewed by several surveys                growth in total goods exports and Zone Fran-
clearly state that they would not have invested            che exports. Both sources confirm that exports
in Madagascar had it not been for these advan-             from Madagascar nearly tripled in current dol-
tages (Cadot & Nasir, 2001; Razafindrakoto &                lars from 1991 to 2001. They show that these
Roubaud, 2002). 6                                          exports reached a historic peak in 2001, plum-
  Two types of data are available to measure               meted due to the crisis in 2002 and then re-
growth in the value of Malagasy goods exports:             sumed growth thereafter. Starting from
   — First, a direct estimate based on national            negligible amounts at the beginning of the per-
   customs statistics for the 1991–2003 period.            iod, growth in Zone Franche exports was even
   The customs statistics also provide a direct            more remarkable, albeit temporarily thrown
   estimate of total Zone Franche exports, for             off stride by the crisis before posting a swift
   which special declarations are required, for            recovery. The share of the Zone Franche in to-
   the same period.                                        tal exports hence rose steadily to reach 42–43%
   — Second, an indirect estimate based on                 by the end of the period, a proportion un-
   total world imports from Madagascar, using              equalled in any other LDC.
   the ‘‘mirror-data’’ method. The historical                 The mirror-data evaluations are systemati-
   series of mirror-data for the 1991–2002 per-            cally higher than the national customs data
   iod is drawn from the International Trade               evaluations for the entire period (excepting
   Centre (ITC) database. 7 We use US and                  Zone Franche exports in 1996 and 2002). The
   EU import data as mirror-data for 2003–                 national customs data evaluations for total ex-
   04 since ITC data are not available for this            ports come to some 70–90% of the mirror-data
   period. The mirror-data do not explicitly               evaluations depending on the year (with consid-
   identify exports from the Zone Franche.                 erable customs data under-recording for 2002,
   Given that nearly all apparel exports come              presumably due to the crisis). This ratio is more
   from the Zone Franche and that most of its              erratic for Zone Franche exports. The deviation
   firms are specialized in clothing, it can be             is due partly to different methods since customs
   assumed that total garment exports are                  statistics use FOB (free on board) measure-
   roughly equivalent to total Zone Franche                ments, whereas the mirror-data, based on im-
   exports.                                                ports, use CIF (costs, insurance and freight)
  Table 1 shows that both types of data present            measurements, which include additional trans-
the same trends over the past decade, which                port and insurance costs. Exceptionally large
leads to the robust conclusion of remarkable               differences are found in certain years, doubtless

      Table 1. Comparative customs and ITC figures on total exports of goods and exports from the Zone Franche
                                        (1991–2003) (in millions of dollars)
                        Total exports                Exports from the Zone Franche         Zone Franche/total
                                                                                                 ratio
              Customs         ITC        Ratio      Customs       ITCa        Ratio       Customs        ITC
  1991          333.4        373.3       89.3%         7.8        17.8       43.8%         2.3%         4.8%
  1992          324.0        395.3       81.9%        18.2        24.9       72.9%         5.6%         6.3%
  1993          334.9        418.0       80.1%        49.3        54.8       90.0%         14.7%        13.1%
  1994          447.4        545.6       82.0%        48.2        98.8       48.8%         10.7%        18.1%
  1995          522.9        620.5       84.3%        105.8       115.4      91.7%         20.2%        18.5%
  1996          512.3        682.8       75.0%        175.5       169.4      103.6%        34.3%        24.8%
  1997          506.8        695.1       72.9%        186.8       206.6      90.4%         32.9%        29.7%
  1998          522.4        761.2       68.6%        194.6       248.4      78.3%         37.2%        32.6%
  1999          583.5        795.0       73.4%        223.8       294.4      76.0%         38.4%        37.0%
  2000          830.3        945.1       87.9%        327.8       369.7      88.7%         39.4%        39.1%
  2001          962.5        1111.7      83.0%        372.1       467.3      79.6%         43.3%        42.0%
  2002          481.6        838.1       57.5%        245.2       237.3      103.3%        36.4%        28.3%
  2003          788.9         n/a         n/a         361.1        n/a         n/a         42.7%         n/a
Source: Central Bank and Ministry of the Economy and Finance; International Trade Centre PC-TAS database.
Customs data: FOB; ITC data: CIF.
a
  Clothing exports (SITC product code 84) are used as a proxy for all the Zone Franche’s exports.
EXPORT PROCESSING ZONES IN MADAGASCAR                                                789

due to data-recording problems encountered by                exclusively agricultural products (mainly coffee,
the Malagasy customs authorities. This lack of               vanilla, cloves, and shrimps). Yet the share of
customs data reliability is not specific to Mad-              these products subsequently fell by more than
agascar. It explains why most studies on Afri-               30 points to less than half of total exports.
can foreign trade use mirror-data of this sort,              The share of manufactured products, on the
since they provide the only way of making                    other hand, was negligible in 1991, but grew
international comparisons using a consistent                 steadily to nearly half of total exports in 2001.
nomenclature. We therefore refer solely to mir-              This growth mainly concerned exports of cloth-
ror-data in the rest of this article, given, as we           ing products, that is, exports from the Zone
have seen, that the customs data produce the                 Franche.
same results in terms of general trends.                        The Malagasy economy was hard hit by the
   Madagascar’s export growth rate was excep-                2002 political crisis, which took a heavy toll
tional by African standards in the last decade,              on Zone Franche companies. Missed contract
given that exports virtually stagnated in most               deadlines due to the crisis prompted interna-
countries on the continent and sub-Saharan                   tional buyers to cancel their orders and, given
Africa’s market share continued to slide (UNC-               the political instability, turn to more reliable
TAD, 2002). This performance even shapes up                  suppliers. The foreign trade figures show the
as excellent compared with world trade, since                Zone Franche’s extreme vulnerability to the cri-
the share of Malagasy exports in world trade                 sis and its remarkable responsiveness once the
more than doubled in the last decade. The Zone               crisis was over. Total clothing exports were
Franche accounted for nearly three-quarters of               practically halved in 2002. Yet exports to the
the boom in Madagascar’s goods exports from                  United States (Figure 1) shot back up in 2003
1991 to 2001. In 2001, Madagascar became the                 to just over their precrisis level, making the
number two clothing exporter in sub-Saharan                  United States the Zone Franche’s main cus-
Africa, behind Mauritius.                                    tomer, ahead of the European Union. Exports
   The Zone Franche made Madagascar the                      to the European Union, however, have not
only successful African new exporter of manu-                recovered. Among other things, the Mauritian
factured goods, excepting Lesotho, in the last               companies that had shifted their textile produc-
decade. The breakdown of exports conse-                      tion facilities to Madagascar for export to the
quently changed considerably. At the beginning               European Union did not all return after the
of the 1990s, Madagascar exported almost                     crisis. 8 For example, the leading Mauritian

               550
                                                                          Political crisis
               500
               450
               400
               350
               300
               250
               200
               150
               100
                50
                 0
                        1998        1999       2000        2001        2002          2003      2004

                                                   USA          EU         Total

                                                                     In millions of dollars

Figure 1. Malagasy exports of clothing products to the United States of America and the European Union (1998–
2004). Source: Otexa and Eurostat. USA and EU data are available for the first nine months of 2004 only. They are
both extrapolated for the entire year by applying the variation between the first nine months of 2004 and the same period
                                          of 2003 to the total amount for 2003.
790                                          WORLD DEVELOPMENT

investor, the Ciel group, halved its staff in              as defined by the official nomenclature, were
the Malagasy factories and invested in India.             asked about their labor market participa-
Yet the fact that total clothing exports                  tion. The definitions used (employment, unem-
(USA + EU) for 2004 have already topped                   ployment, etc.) respected the international
their precrisis level is very promising. Despite          standards recommended by the ILO. Further-
some companies having left, the immediate rise            more, in addition to the general LFS purpose
in the number of approvals for free-zone com-             of analyzing the labor market dynamic, one
panies as soon as the crisis was over confirms             of the strong points of the Malagasy survey is
this continuing dynamic. A total of 30 authori-           that the questionnaire included a specific ques-
zations were issued in 2003 (especially for Asian         tion to single out employment in the Zone
companies), compared with 20 in 2002 and 43               Franche (Razafindrakoto & Roubaud, 1997).
in 2001.                                                     The LFSs confirm the Zone Franche’s excep-
                                                          tional buoyancy in recent years. From 1995 to
                                                          2001, the rate of job creation in the Zone Fran-
      3. MACROECONOMIC IMPACT ON                          che was six times higher than in Antananarivo’s
       EMPLOYMENT AND SPILLOVER                           labor market as a whole. The average annual
                EFFECTS                                   employment growth rate stood at 27% com-
                                                          pared with 4.5% for the market as a whole. This
   Against an economic backdrop of massive                is by far the best performance, all sectors con-
underemployment 9 and widespread poverty,                 sidered (Table 2). Even though the informal
the analysis of the Zone Franche’s contribution           sector is the main job provider, it is way behind
to the local economy takes on vital importance,           in this respect. Over the period, the Zone Fran-
particularly as regards jobs created and the in-          che’s contribution to job creation was as strong
come redistributed. 10                                    as that of the informal sector. Of a total
   The LFSs used in this study correspond to              125,000 new jobs, 38% could be attributed to
the first phase of the 1–2–3 survey of the labor           the informal sector, whereas the Zone Franche
market, the informal sector and consumption               generated 34%, tripling its share of total
conducted in a number of developing countries             employment from an initial 3% to 10% in
in Africa and Latin America (Razafindrakoto                2001. In the formal private sector, nearly one-
& Roubaud, 2003). This system of household                third of all employees worked in the Zone Fran-
surveys was introduced in Madagascar for the              che in 2001 compared with barely one in 10 in
first time in 1995 (Rakotomanana, Ramilison,               1995. In the same year, there were more women
& Roubaud, 2003). The National Statistical Of-            employed in the Zone Franche than in the rest
fice has repeated the operation every year since           of the formal private sector.
then. The sample, drawn from a stratified two-                A job in the Zone Franche increases the earn-
stage area-based survey plan, is representative           ings of the household to which the worker be-
of all ordinary households in the Malagasy cap-           longs. Nicita and Razzaz (2003) estimate that
ital. In each household, all individuals aged 10          a 20% annual growth rate in Madagascar’s tex-
and over, that is, all individuals of working age         tile sector for five years (close to actual growth

       Table 2. Change in the employment breakdown by institutional sector in Antananarivo (1995–2002) (%)
  Institutional sector                 Growth period: 1995–2001                   Crisis period: 2001–02
                                 Average annual    Contribution     Structure    Growth rate    Structure
                                  growth rate
                                   1995–2001        1995–2001     1995    2001     2001–02         2002
  Public administrations              1.4              3         11.6   8.2        2.3            8.3
  Public companies                    4.1               2          2.7    2.6        7.1            2.8
  Formal private companies            8.9               63         28.1   36.1      20.0          33.0
    of which Zone Franche             27.2              34         3.1    10.2      60.0           4.1
  Informal private companies          3.1               38         57.6   53.1      12.2           59.9
  Total                                4.5             100         100    100        0.4          100
Source: 1–2–3 surveys, Phase 1 (employment) 1995–2002, INSTAT/MADIO, authors’ calculations. The contribution
of the institutional sectors has not been calculated for 2001–02 as total employment fell due to the crisis.
EXPORT PROCESSING ZONES IN MADAGASCAR                                     791

in the second half of the 1990s) would take           7% and creates an additional 5% in tax reve-
approximately 158,000 people above the pov-           nues.
erty line. This is somewhat low given the high          As with the foreign trade statistics, the
rate of poverty in the country. Yet in addition       employment data highlight that the Zone Fran-
to these direct jobs with Zone Franche compa-         che was extremely vulnerable to the crisis. The
nies, jobs are generated by demand from these         LFS specially conducted in Antananarivo in
firms and satisfied by local companies through          December 2002 and January 2003 to assess the
backward linkages. Granted, their integration         impact of the crisis provides the wherewithal
into the country’s economy is modest since            to make a diagnosis of the state of the labor
three-quarters of their raw materials and sup-        market six months after the end of this crisis.
plies are of foreign origin, whereas the average      Although the capital’s economy started to re-
rate in the industrial sector is 50% (MADIO,          cover after the height of the crisis, the negative
1999). However, the services they use should          impacts were still very apparent. Zone Franche
also be added to local inputs as should the           employment fell 60% between mid-2001 (date
share of their investment in the domestic mar-        of the previous survey) and the end of 2002,
ket. If we assume constant average productivity       wiping out in one fell swoop the huge progress
for local companies used by Zone Franche com-         made in previous years. The Zone Franche
panies, the number of jobs generated by the lat-      clearly adjusted to the downturn in demand in
ters’ demand can be calculated using an input–        terms of quantity (jobs and working hours)
output matrix for the Malagasy economy.               rather than price. Nominal wages, hard to re-
Razafindrakoto and Roubaud (2002) use this             duce, more or less followed inflation, which
method and find that the ratio between indirect        meant that those who kept their jobs virtually
and direct jobs created by the Zone Franche is        maintained their purchasing power. The other
approximately 0.7.                                    institutional sectors reacted differently. There
   The Zone Franche’s impact on tax revenues is       were no layoffs in the public sector, where wages
obviously vital in a country where most of the        were partially deindexed. The informal sector
State’s revenue comes from external tax. An           acted as a safety net for employees who had
accurate assessment of the impact of the Zone         been made redundant and for new arrivals.
Franche on taxes entails knowing whether              The number of jobs in this sector grew 12%.
investment decisions are linked to the tax incen-       We fine-tune the diagnosis using the May
tives offered (if not, the Zone Franche makes a        2003 Impact of the Crisis survey conducted in
net loss for the State, excluding indirect effects).   the Malagasy capital almost one year after the
As already mentioned, this appears to be the          end of the crisis (Ramilison, 2003). 11 Although
case for most investors. Zone Franche imports         practically all the households stated that the
are duty- and tax-free, meaning a loss of reve-       crisis had had a negative effect on them and
nue for the State. However, Zone Franche firms         had resulted in a loss of income, the form and
are not fully exempt from tax. They pay all           intensity of the shock varied significantly
taxes on employees hired and other special            depending on the type of household. In general,
employment-based levies such as employees’            households with some members working in the
and employers’ social contributions, which are        Zone Franche were hard hit by temporary
far from negligible. In 1997, for instance, 20%       unemployment, especially when the individuals
of employers’ social contributions came from          kept their jobs. Zone Franche employees, both
Zone Franche companies (MADIO, 1999). In              those who kept and those who lost their jobs,
addition, the Zone Franche injects income into        appear to have suffered a larger drop in income.
the economy that, given the Keynesian multi-          Whereas the last quarter of 2001 was the high-
plier, contributes to increased demand and            est point in the economic cycle before the crisis,
thereby to State revenues (customs duties,            there was a drastic drop in the first quarter of
property tax, VAT, etc.). A macroeconomic             2002. The drop in income can be estimated at
model serves to assess the multiplier effect of        nearly 30% for households in the Zone Franche,
demand generated by the revenue distributed           compared with less than 20% for the others.
locally by the Zone Franche in the form of work       The Zone Franche companies laid off large
remuneration and spending on intermediate             numbers of employees during the second quar-
consumption and investment. Razafindrakoto             ter, and those made redundant clearly had
and Roubaud (2002) posit that, if the spillover       more trouble finding alternative sources of in-
effects are taken into account, the Zone Fran-         come equivalent to the earnings they had previ-
che’s contribution to GDP rises from 2% to            ously enjoyed.
792                                   WORLD DEVELOPMENT

   Yet crisis aside, the study in this section       long working hours, which tended to raise
shows the positive impact of the Zone Franche        monthly earnings compared with other sectors:
on Madagascar’s economy. It has not only been        In 2001, Zone Franche employees worked nine
a buoyant sector since it was set up in the early    hours longer on average per week than their
1990s, but it has also remained the main driving     counterparts in the non-Zone Franche private
force behind growth for a decade. However, we        industrial companies (53 hours and 44 hours
need to delve deeper than this general diagnosis     per week, respectively). Hence, the diagnosis
to see whether the Zone Franche’s positive mac-      is reversed when comparing hourly earnings.
roeconomic impact has the disadvantage of            Although growth in real median hourly earn-
overexploiting the labor force and lowering          ings per Zone Franche worker is appreciable
labor standards, as claimed by the race to the       (5.3% per year), it is among the lowest when
bottom theory, due to the fact that the main         compared with the labor market as a whole,
motivation for investing in the Zone Franche         where it comes to 7.5% per year.
is to minimize the costs of producing labor-            However, these differences in average and
intensive consumer goods by unskilled workers.       median earnings are misleading for two rea-
We will endeavor to answer this question in the      sons: Firstly, the remuneration taken into
next two sections of the paper, addressing           account does not include benefits, in money
firstly wage levels in the Zone Franche and then      or in kind (bonuses, paid holidays, and miscel-
the quality of jobs, working conditions, and la-     laneous benefits). These benefits are added to
bor standards. The analysis is based on the          basic earnings to form total earnings. Secondly,
1995–2001 series of LFSs. We have excluded           as shown in Table 3, job characteristics and
the 2002 survey, which is the last available sur-    wages are not identical across sectors. Some
vey, to avoid introducing potential biases asso-     characteristics weigh negatively on Zone Fran-
ciated with the disruptive effects of the political   che earnings, such as the low percentages of
crisis.                                              managerial staff, the lack of seniority and pro-
                                                     fessional experience, and the preponderance of
                                                     female staff. All of these characteristics are
       4. REMUNERATION IN THE                        common to most EPZs worldwide (Madani,
            ZONE FRANCHE                             1999). In 2001, women represented nearly
                                                     70% of the labor employed by the Zone Franche
  The LFS data clearly show the structural           as opposed to 40% in formal industrial jobs
weakness of wages in the Zone Franche. Not           outside the Zone Franche. 13 Yet other charac-
only was the average monthly wage 37% lower          teristics work in favor of earnings in the Zone
than that paid by other types of industrial com-     Franche. For example, there is the rate of
panies in 2001, but it was also one of the lowest    trade union presence, which is almost as high
on the market. Despite a slight improvement          as in the public sector and double the rate
over the period, it remained lower than the          observed for the rest of the industrial sector
average earnings for gainfully employed work-        (this characteristic can be linked, in particular,
ers in all sectors of the economy (the gap nar-      to the large average size of Zone Franche com-
rowed from 23% in 1995 to 16% in 2001).              panies compared with other industrial com-
Only the informal sector paid its workers less.      panies).
These findings are somewhat tempered if we               Fine-tuning our calculations entails checking
compare median monthly wages (which have             all these ‘‘structural effects’’ to measure earn-
the advantage of being less sensitive to extreme     ings levels, all other things being equal, that
values): The median monthly wage in the Zone         is, for comparable jobs and human capital as-
Franche was equivalent to that for all gain-         sets. These estimates are made first for basic
fully employed workers together, but was still       earnings and then for total job earnings. In
lower than that found in other industrial            both cases, we compare the positive or negative
firms. 12                                             premium earned by Zone Franche employees
  Zone Franche companies appear to have              with the labor force as a whole and with
granted more generous wage raises than others        employees in the non-Zone Franche formal pri-
from 1995 to 2001. Whereas the purchasing            vate industrial sector. Maskus (1997) and Ro-
power of monthly earnings grew an average            mero (1995) consider a number of reasons
7.3% per year for all gainfully employed work-       why EPZ firms could tend to pay higher wages:
ers, the rate was 9.1% in the Zone Franche. Yet      EPZ firms pay productivity incentives and
this positive finding is partly due to increasingly   overtime bonuses (the latter obviously have
EXPORT PROCESSING ZONES IN MADAGASCAR                                              793

  Table 3. Labor force characteristics in the Zone Franche compared with the other sectors (Antananarivo), 2001
                                Public     Formal private    Of which: industrial    Of which:     Informal   Total
                                sector        sector         (excl. Zone Franche)   Zone Franche    sector
  Monthly earnings (USD)           87            51                  57                  38           33       45
  Hours worked per week           40.9          47.4                43.8                52.8         40.9     43.3
  % Female                        36.4          44.3                39.7                69.4         52.0     47.3
  % Managerial staff               35.8          12.0                12.7                9.7           0.3     8.3
  % Trade union presence          47.6          20.3                22.9                41.7          0.6     12.7
  Years of schooling              11.8          8.9                 8.6                 7.8           6.3     7.8
  Potential experience            26.2          17.8                19.9                13.6         22.4     21.2
  Seniority                       13.2          5.2                 7.0                 2.4           7.0     7.0
  Size of company                 85.9          36.2                31.0                93.0           0      23.2
    (% P100 employees)
Source: 1–2–3 survey, Phase 1, 2001, MADIO, authors’ calculations. Number of observations: 5,499. Exchange rate
(June 2001): 1 USD = 6,859 FMG.

no effect on hourly wages); they are generally                  Lastly, we introduce a dummy Zone Franche
larger than firms outside the EPZs, and wages                   variable (DUMMY EPZ) to estimate the earn-
tend to rise with firm size due to economies of                 ings premium associated with this sector. Each
scale; foreign firms, especially those from devel-              of these estimations is made first for all gain-
oped countries, generally have higher labor                    fully employed workers and then for wage
standards; EPZ firms may pay a wage premium                     earners (excluding nonwage earners such as
to entice workers to move into the area or to                  the self-employed) in the formal industrial sec-
dissuade them from moving to other firms;                       tor with apparently comparable working condi-
and the fact that EPZ firms produce for export                  tions. We carry out both OLS estimates and
means that they face pressure to maintain high                 Heckman estimates selection-corrected for par-
quality standards, which prompts them to pay                   ticipation and sector choice (Zone Franche vs.
better wages (according to efficiency wage the-                  non-Zone Franche). Yet as the results are very
ory, better wages induce more effort from                       similar and the database does not provide any
workers). It could also be argued that the eco-                credible instruments for correcting potential
nomic performance of export-oriented Zone                      selection biases, we only present the OLS esti-
Franche companies places them in a better posi-                mates here.
tion to make wage policy concessions than                         At the same time, we estimate a global model
other sectors that depend entirely on the                      using stacked data for the seven years from
domestic market.                                               1995 to 2001. The dependent variable is real
   We estimate extended Mincerian earnings                     hourly earnings at 1995 prices 16 and dummies
functions for each year from 1995 to 2001 to                   are introduced for each year (DATE):
explain the level of hourly earnings (both basic
earnings and total earnings). 14                               Log Writ ¼ a þ bGEN þ cSCOit þ dEXP it þ eS it
                                                                                       X             X
Log W it ¼ at þ bt GEN þ ct SCOit þ d t EXP it                            þ fS 2it þ g   SEC it þ ht   DATEt

            þ et S it þ ft S 2it þ gt SEC it                                þ DUMMY EPZ þ eit :                   ð2Þ
            þ DUMMY EPZ þ eit :                        ð1Þ        Table 4 presents the results of estimates of
                                                               the real hourly wage in the formal industrial
Dependent variables are the usual explanatory                  sector using stacked data, excluding bonuses
factors: gender (GEN), number of years of                      (models 1 and 2) and including bonuses (mod-
schooling (SCO) and potential professional                     els 3 and 4), and excluding socioeconomic
experience (EXP). We also include seniority                    group (models 1 and 3) and including socioeco-
(S) and seniority squared (S2) in the explana-                 nomic group (models 2 and 4). The quality of
tory variables. 15 Socioeconomic group (SEC)                   the regressions is good and in keeping with
broken down into nine groups (including six                    the international literature on the subject (R2
categories of wage earners) is alternatively in-               from 0.36 to 0.44), and the coefficients for the
cluded and excluded from the regressions to                    four chosen models are close to and comply
take account of its potential endogeneity.                     with the theory. Remuneration, regardless of
794                                      WORLD DEVELOPMENT

        Table 4. Equation of Zone Franche hourly wages/rest of the formal industrial sector (1995–2001)
                                     Wages (excluding bonuses)              Wages (including bonuses)
                                    Model 1            Model 2             Model 3             Model 4
  Intercept                     1.604 (42.48) 1.522 (39.29) 1.557 (39.01) 1.483 (36.22)
  Sex (male = 1)                 0.139   (8.35)  0.122  (70.89)  0.147   (8.40)  0.130   (7.92)
  Years of schooling             0.097  (40.19)  0.065  (25.67)  0.100  (39.27)  0.066  (24.71)
  Seniority                      0.020   (6.17)  0.019   (6.08)  0.029   (8.34)  0.027   (8.32)
  Seniority squared             0.0003 (3.06) 0.0003 (3.18) 0.0005 (4.58) 0.0005 (4.78)
  Experience                     0.013  (12.91)  0.008  (19.30)  0.013  (12.46) 0.010   (9.82)
  Year
     1995                       0.480 (16.40) 0.404 (14.59) 0.499 (16.11) 0.412 (14.06)
     1996                       0.294 (10.32) 0.201 (7.40) 0.295 (9.79) 0.190 (6.62)
     1997                       0.194 (6.90) 0.135 (5.13) 0.159 (5.36) 0.094 (3.39)
     1998                       0.135 (4.88) 0.063 (2.38) 0.129 (4.42) 0.045 (1.63)
     1999                       0.075 (2.76) 0.018 (0.73) 0.055 (1.93)    0.008   (0.29)
     2000                       0.018 (0.72)  0.001   (0.05)  0.021 (0.76)  0.001   (0.04)
     2001                         –               –               –               –
  Socioeconomic group
     Senior managers                                1.444    (24.09)                       1.500     (23.67)
     Middle manager                                 0.611    (16.77)                       0.669     (17.37)
     Empl., skilled workers                         0.222     (9.83)                       0.259     (10.89)
     Empl., unskilled workers                       0.111     (4.85)                       0.123      (5.10)
     Laborers                                         –                                      –
  Dummy EPZ (=1)                 0.002    (0.11)    0.008    (0.47)     0.019    (1.01)    0.022     (1.24)
  Number of observations             4,651               4,651               4,651              4,651
  R2                                  0.36                0.44                0.36               0.44
Source: 1–2–3 surveys, Phase 1, 1995–2001, MADIO, authors’ calculations.
In brackets, the absolute value of the t-statistics.
Reading: in model 1, a man’s average hourly wage exceeds that of a woman by 14.9% (coefficient 0.139) all other
things being equal.

whether the different types of bonuses are taken          is beneficial to employees: Firstly, by giving
into account, is a growing function of the level         them access to more highly skilled jobs and sec-
of education, seniority, and professional experi-        ondly, by giving them additional income in a
ence. For example, each additional year of               given job. Hence, the return on education is
schooling is equivalent to a net wage increase           reduced by approximately one-third (from
of nearly 7% in 2001, whereas benefits from               10.2% to 6.7%) when the socioeconomic group
seniority and professional experience are less           is included in the equation. Finally, women ap-
marked (under 2% and approximately 0.5%,                 pear to be subject to a form of wage discrimina-
respectively).                                           tion, earning approximately 15% less in the
   Growth in average hourly wages is not due             industry. Nicita and Razzaz (2003) observed
solely to improved skills over the period, as is         an even higher level of discrimination in the
shown by the significant positive trend of the            Malagasy textile industry (whose coverage is
year dummies. 17 Madagascar also experienced             similar to, but not exactly the same as the Zone
unprecedented dynamic endogenous urban                   Franche) using the same kind of wage equa-
growth (Razafindrakoto & Roubaud, 2000).                  tions.
The hourly wage is also closely correlated with             As regards our variable of interest, the Zone
position in the company, in keeping with a               Franche dummy is not significant in any of the
strict wage scale ranging from senior manage-            models estimated. Although Zone Franche
ment to unskilled workers. When the socioeco-            employees were paid 25% lower hourly wages
nomic group is taken into account, it partially          on average than their counterparts in the non-
absorbs the return to human capital, highlight-          Zone Franche private formal industrial sector
ing the two-stage mechanism whereby the latter           over the 1995–2001 period, this gap can be
EXPORT PROCESSING ZONES IN MADAGASCAR                                                795

             Table 5. Equation of hourly earnings in Zone Franche/rest of labor market (1995–2001)
                                   Earnings (excluding bonuses)            Earnings (including bonuses)
                                    Model 1            Model 2             Model 3            Model 4
  Intercept                     2.145 (116.4) 2.088 (48.89) 2.075 (112.6) 2.039 (47.54)
  Sex (man = 1)                  0.276   (31.14)  0.247   (28.87)  0.276   (31.05)  0.238   (27.66)
  Years of schooling             0.140 (129.55) 0.106     (84.39)  0.141 (130.79) 0.105     (82.77)
  Seniority                      0.028   (22.95)  0.021   (17.41)  0.030   (24.69)  0.022   (18.91)
  Seniority squared             0.0005 (16.71) 0.0004 (13.61) 0.0006 (17.50) 0.0004 (14.23)
  Experience                     0.015   (35.74)  0.011   (26.50)  0.014   (32.93) 0.010 (24.60)
  Year
     1995                       0.386   (23.22)   0.332 (20.79) 0.351 (21.10) 0.303 (18.89)
     1996                       0.371   (22.66)   0.332 (21.12) 0.369 (22.50) 0.330 (20.90)
     1997                       0.273   (16.87)   0.256 (16.51) 0.251 (15.51) 0.235 (15.13)
     1998                       0.182   (11.26)   0.150 (9.70) 0.173 (10.66) 0.144 (9.23)
     1999                       0.114    (6.97)   0.078 (4.95) 0.055 (1.93) 0.077 (4.89)
     2000                       0.052    (3.19)   0.043 (2.75) 0.021 (0.76) 0.032 (2.06)
     2001                         –                   –               –               –
  Socioeconomic group
     Senior managers                                  –                                     –
     Middle managers                                0.256    (8.44)                     0.258      (8.57)
     Empl., skilled workers                         0.521   (18.94)                     0.573     (20.75)
     Empl., unskilled workers                       0.721   (24.55)                     0.803     (27.24)
     Laborers                                       1.120   (37.13)                     1.155     (38.14)
     Employers                                      0.096    (3.07)                     0.262      (8.27)
     Self-employed                                  0.641   (22.77)                     0.817     (28.91)
     Fam. help & apprent.                           0.974   (22.95)                     1.113     (26.11)
  Dummy EPZ (=1)                 0.121    (6.70)    0.065      (3.59)   0.161    (8.91)   0.063        (3.51)
  Number of observations             35,718             35,718              35,718             35,718
  R2                                  0.40               0.45                0.40               0.45
Source: 1–2–3 survey, Phase 1, 1995–2001, MADIO, authors’ calculations. Note: idem Table 4.

attributed entirely to labor force composition           wage groups being inserted into the scale. 18
differences between the two sectors.                      Hence, employers’ earnings appear to be lower
   Table 5 presents the results of the same esti-        than senior managers’ earnings, but higher than
mates for all gainfully employed (wage and               middle managers’ earnings, whereas self-em-
nonwage) workers. In this case, we refer to              ployed workers earn the same as unskilled
earnings rather than wages since some workers            employees, with apprentices and family work-
are nonwage workers. The quality of the                  ers coming last.
adjustments is slightly better than for the esti-          However, contrary to the estimates for the
mates commented on above, for relatively sim-            formal industrial sector alone, employees in
ilar results. Gender discrimination is the most          the Zone Franche always have a significant pre-
notable exception: It is approximately twice as          mium varying from 6% to 17% depending on
high in the economy as a whole as those esti-            the model. Introducing the socioeconomic
mated for formal industry. This result can be            group into the regression sharply reduces the
attributed mainly to the presence of the infor-          earnings premium secured by Zone Franche
mal sector, where highly significant differences           employees, by nearly half in the model exclud-
between men and women are found. The return              ing bonuses and by nearly two-thirds in the
on human capital is higher than that observed            model including all remuneration elements.
in the model limited to the industrial sector,           For an equivalent level of human capital, Zone
whereas the time trend is flatter. In the models          Franche employees have lower level jobs. This
including socioeconomic group, we find the                phenomenon can be partly explained by the
same wage scale as observed earlier, with non-           specific labor organization (low percentage of
796                                         WORLD DEVELOPMENT

managerial staff and little job differentiation). It          an even greater loss of ground for hourly earn-
could also be due to a deliberate policy by                 ings, as the increase in hours worked essentially
employers to hire overqualified workers. Esti-               concerned the Zone Franche. Although the pre-
mates broken down by the different institu-                  mium was still positive in 1999 and 2000 for the
tional sectors 19 show that the premium for                 model excluding socioeconomic group, this was
Zone Franche workers is always significantly                 no longer the case in 2001. As regards the
lower than for workers in the public sector                 model including socioeconomic group, the pre-
(administration and public enterprises) and                 mium was no longer significant after 1998 and
higher than in the informal sector, and is not              even became negative in 2001.
significantly different from that secured by                     This trend can doubtless be explained to a
other employees in the formal private sector.               large extent by the fact that the exceptional
   By studying the time curve for the premium               activity seen on the domestic market did not
for Zone Franche workers, we can go beyond                  benefit Zone Franche companies, which export
the average effects for the period as a whole                to highly competitive international markets.
(Figures 2 and 3). The comparison of wages                  Moreover, the rise in the exchange rate from
in the formal industrial sector shows that the              the second half of 2000 reduced the Zone Fran-
average income gap widens, particularly as re-              che companies’ room for maneuver. The pre-
gards hourly wages, to the detriment of Zone                mium’s downward trend highlights a gradual
Franche employees. Hourly wages (excluding                  aligning of wages in the Zone Franche with con-
bonuses) were similar in both sectors in 1996,              ditions on the labor market. Despite the up-
but posted a 45% difference in 2001. The pre-                surge in Zone Franche employment, there was
mium curve also fell from significant and posi-              no shortage of salaried labor, which could have
tive in the first two years (1995 and 1996) to               put downward pressure on wages. The esti-
negative (albeit not significant) as of 1998.                mates for 2002 show that, in spite of the crisis
Compared with all gainfully employed workers                and the sharp drop in Zone Franche employ-
on the labor market, we also note a drop in rel-            ment, the wage premium remained in line with
ative earnings for Zone Franche workers, with               its previous trend.

        40%
                                                                                                    Political
                                                                                                     crisis
        20%

         0%

       -20%

       -40%

       -60%
                 1995        1996        1997        1998       1999         2000        2001        2002
                              Monthly wage                             Hourly wage
                              Premium (ex. socio-eco group)            Premium (inc.socio-eco group)

Figure 2. Change in relative wages and wage premium in the Zone Franche from 1995 to 2002: Zone Franche vs. non-
Zone Franche formal industrial private sector. Sources: 1–2–3 survey, Phase 1, 1995–2002, MADIO, authors’
calculations. Note: remuneration excludes bonuses. The monthly and hourly wage curves correspond to the ratio of wages
in the Zone Franche compared with the other sectors. The premium corresponds to the coefficients of models 1 and 2,
             estimated for each year. For each curve, the significant coefficients (5%) are shown in black.
EXPORT PROCESSING ZONES IN MADAGASCAR                                                797

        40%
                                                                                                   Political
                                                                                                    crisis
        20%

         0%

       -20%

       -40%
                 1995        1996       1997          1998      1999         2000       2001        2002
                          Monthly earnings                               Hourly earnings
                          Premium (ex. socio-eco group)                  Premium (inc. socio-eco group)

Figure 3. Change in relative earnings and earnings premium in the Zone Franche from 1995 to 2002: Zone Franche vs.
Rest of the economy. Sources: 1–2–3 survey, Phase 1, 1995–2002, MADIO, authors’ calculations. Note: idem Figure 2.

      5. OTHER LABOR STANDARDS                               ments contribute to secure, formal working
                                                             relations. Although there is less in-house pro-
   Job quality is gauged by more than just                   motion of Zone Franche employees, this can
money. It is also measured by the nonmonetary                be explained by the fact that they have less
elements attached to the job such as the social              seniority. Once the differences in jobs and skills
security cover it provides, job security, and pro-           have been taken into account, the disparities
motion possibilities. Table 6 shows that, across             are no longer significant. Lastly, Zone Franche
all these benefits, Zone Franche companies per-               companies have adopted a highly active policy
form better than all the other formal industrial             to promote labor skills: In 2001, nearly one in
companies in the private sector. This is particu-            three employees took a vocational training
larly true of the three main types of benefits                course paid for by the company, compared with
that are systematically more common in the                   one in five in the formal private sector outside
Zone Franche: registration with an official so-                the Zone Franche. The logit models we have
cial security body, paid holidays, and the possi-            tested—where the dependent variable corre-
bility of consulting a company medical service.              sponds to a form of cover or protection and
Yet Zone Franche employees are at the greatest               the independent variables are the same as for
advantage when it comes to job security. A                   the earnings equations—show that Zone Fran-
higher percentage of them have permanent jobs                che employees enjoy significantly better cover-
and receive pay slips. They are also more often              age across all these benefits. 20 In many
covered by a written employment contract and                 respects, Zone Franche employees are in as
are paid on a monthly basis. All of these ele-               favorable a situation as public sector employees,

Table 6. Share of employees with job benefits in the Zone Franche compared with the other sectors (Antananarivo),
                                                      2001
                                 Public Formal private Of which: industrial Of which:  Informal Total
                                 sector    sector      (non-Zone Franche) Zone Franche  sector
  Social security registration   85.1          61.8               65.0               88.2***        1.9        52.9
  Company medical service        68.1          57.5               60.1               83.7***        11.7       49.3
  Paid holidays                  85.7          60.2               64.0               79.0***        7.7        53.4
  Pay slip                       95.8          76.0               79.0               96.1***        6.2        64.2
  Written contract               96.3          65.1               73.6               93.3***        9.8        64.6
  Company-paid training          37.2          20.6               17.9               32.6***        2.6        19.8
  Do not want to change job      85.3          72.5               69.3                73.1          59.4       72.2
Source: 1–2–3 survey, Phase 1, 2001, MADIO, authors’ calculations.
***
    Significant positive coefficient at 1% threshold (logit models in private formal industrial sector).
798                                   WORLD DEVELOPMENT

who are the most highly protected on the labor       ers by acting as an incentive to other companies
market.                                              to align their labor policies with the usually
   In addition to this relative advantage for        more advantageous conditions found in the
Zone Franche employees, the zone’s companies         Zone Franche.
stepped up their formalization of work rela-            However, employment in the Zone Franche is
tions over the past decade. For example,             not the be all and end all for wage earners, as
whereas only 21% of Zone Franche employees           shown by the employee satisfaction rates,
were covered by the social security system in        which, albeit high, are no higher than the aver-
1995, this percentage gradually rose to reach        age (Table 6). 21 Further proof of this is the high
88% by 2001. The same phenomenon can be              staff turnover, calculated by the ratio of the
observed for all work-related benefits (paid hol-     number of employees who left their companies
idays, bonuses, medical cover, etc.) to the ex-      in the year preceding the survey to this same to-
tent that the contractualization of wage             tal plus those still employed in the Zone Franche
relations is now widespread in the Zone Fran-        at the time of the survey. Every year, about one
che, which was far from the case just a few          in five Zone Franche employees leave their job,
years ago. This fundamental change, which            compared with a little over one in 10 in the for-
has occurred in record time, is all the more         mal private sector. This rate is far higher than in
exceptional in that it took several decades for      Mauritius, where it is around only one in 20
the industrialized countries to achieve the same     (Cadot & Nasir, 2001).
result. The 1980s and 1990s even saw an inverse         The abovementioned advantages of working
trend toward increased insecurity in wage rela-      in the Zone Franche are actually offset by a ser-
tions in most of the emerging countries (see         ies of negative factors. These include the work-
Saavedra, 2003, for a study of Latin America).       load and work pace, both far higher than
This positive trend for the Malagasy workforce       elsewhere. Integration into the world market
is gradually spreading to the formal sector as a     and its demands in terms of competitiveness
whole. The model introduced by the Zone Fran-        (costs, delivery times, and quality) force the
che was probably a driving force behind this.        companies to tighten their labor management,
   Overall, Zone Franche companies treat their       with stricter controls as regards rates, output,
employees somewhat better than their counter-        and productivity. The problems caused by stea-
parts in the private formal sector and much bet-     dily increasing working hours, standing at 53
ter than workers in the informal sector,             hours in 2001, are all the more acute since the
although, as we have seen, the wage premium          Zone Franche employs a large number of wo-
is tending to disappear. Doubtless, this favor-      men who suffer, as elsewhere, from the ‘‘double
able treatment of Zone Franche employees,            day’’ phenomenon since they also have to cope
albeit relative, should not be attributed to         with domestic tasks and bringing up their chil-
the company heads’ philanthropic tendencies,         dren (Rambeloma, Rabeson, & Andrianarison,
given that their main reason for setting up in       2002).
Madagascar was the low cost of labor. Some
of the abovementioned factors that could push
wages up in EPZs (larger size, foreign-owned            6. SUMMARY AND CONCLUSIONS
firms’ ‘‘best practices’’, etc.) could also explain
the more favorable conditions. Some factors             Three main factors have been behind the suc-
might be more specific. For example, as these         cess of the Malagasy EPZs or the Zone Franche
companies are sometimes working in a hostile         since the early 1990s: Low labor costs accompa-
local environment, they are more mindful of          nied by relatively high productivity, an attrac-
the legislation, especially labor standards, and     tive policy for foreign investment with the
this observance is further stimulated by active      introduction of a highly advantageous tax and
trade unions. It is important to belie the com-      customs scheme, and the granting of trade pref-
mon assumption that EPZs undermine working           erences by the European Union and the United
conditions on the national labor market. In          States of America, which has increased Mada-
Madagascar’s case, it is not the Zone Franche        gascar’s competitiveness over its competitors.
companies that reduce the quality of wage            A number of particularities provide additional
employment, but the poor conditions provided         reasons for the Malagasy success. These are,
employees on the local labor market that at-         in particular, historical (presence of a large
tract them to the country in the first place. In      French community, which has contributed to
fact, their presence is likely to benefit the work-   the magnitude of French investments), cultural
EXPORT PROCESSING ZONES IN MADAGASCAR                                     799

(national textile tradition), and geographic          other things being equal, to that paid by the
(close to Mauritius, one of the leading inves-        other industrial firms in the formal private sec-
tors). Given these circumstances, the Zone            tor. This fact had been hitherto accepted for
Franche has been the main driving force behind        EPZs in general, but had remained unproved
employment and export growth over the last 10         until now. Moreover, the Zone Franche compa-
years and has made a major contribution to the        nies pay their employees more on average than
economic upturn observed since 1995 after a           the informal sector, which is the main alterna-
long recession period.                                tive for the low-skilled female workforce. Being
   Although the Malagasy Zone Franche is a            hired in the Zone Franche therefore improves a
highly specific case in that it is the only success-   worker’s situation compared with previous
ful EPZ in an African LDC, our analysis shows         employment, as concluded also by Nicita and
that its characteristics are similar to those usu-    Razzaz (2003). We also show that the Malagasy
ally observed on other continents. Specializa-        Zone Franche boasts a major particularity com-
tion in virtually one single product (apparel)        pared with EPZs in other countries as regards
goes hand in hand with the Zone Franche’s             the other labor standards. Employees’ working
growing and currently decisive weight in the          conditions (with the exception of working
country’s exports. The Zone Franche has hence         hours) are generally more generous in the zone
set the economy on the road to industrializa-         than elsewhere in the private sector and are in
tion. This success may eventually meet its limits     line with those enjoyed by public sector work-
in the absence of clear prospects for the diversi-    ers. This inversion of the relative situation of
fication of exports outside of the Zone Franche,       Zone Franche employees compared with the
consistent with a scenario often observed in the      generally agreed view that nonwage benefits
small countries (Schrank, 2001). The Zone             are inferior in EPZs could be explained by the
Franche, whose effect is geographically highly         fact that Madagascar is an LDC, unlike middle
targeted (concentrated essentially in the capi-       income countries (MICs), where most of the
tal), is also a factor for rising inequalities. Yet   EPZs are established. Low average labor costs
despite not-inconsiderable spillover effects, it       give the Zone Franche firms leeway to improve
represents too small a weight to have a signifi-       their employees’ working conditions, an advan-
cant impact on poverty reduction. The work-           tage that their counterparts in the MICs do not
force is made up mainly of young low-skilled          have. Consequently, the EPZs can play a posi-
women who, on average, do not stay in the             tive role in job quality and constitute a factor
company very long. However, there is no sug-          for social progress in the LDCs, whereas com-
gestion that the strong demographic dynamic           petitive pressure drives EPZs in the MICs more
and the youth of the firms are the result of a         in the other direction. This hypothesis appears
deliberate high staff turnover policy. Moreover,       to be confirmed in the case of Madagascar:
despite particularly long working hours a priori      not only has Zone Franche employee cover sub-
rather incompatible with family life, married         stantially improved over the period studied, but
women with or without children do not appear          the zone has also been a driving force behind
to be excluded from the Malagasy EPZ compa-           the observed improvement in working condi-
nies (Glick & Roubaud, 2004), contrary to             tions in the other sectors of the economy.
observations in other countries. The 2002 crisis         The success of the Zone Franche has enabled
highlighted the vulnerability of the Zone Fran-       Madagascar to join the select club of countries
che system. Given that investment in this sector      receiving direct investment in the clothing sec-
is relatively light and hence conducive to quick      tor. Generally speaking, the Zone Franche’s
profits, companies can easily pull out whenever        continued growth in Madagascar will depend
there is the slightest political, economic, or so-    in the long run on whether its costs remain
cial problem. For this reason, Winters, McCul-        competitive and whether it continues to benefit
loch, and McKay (2004) consider that the EPZs         from the current preferential conditions of ac-
constitute an example of liberalization that in-      cess to the leading markets. There is probably
creases household vulnerability. Yet although         no call for concern as regards the first point, gi-
the EPZ firms were the hardest hit by the crisis,      ven the tax advantages granted Zone Franche
the latest information available shows that they      companies and the current low labor costs,
have also been the most buoyant since.                which guarantee a substantial competitive mar-
   Our econometric estimates on individual data       gin even though the business environment re-
show that the remuneration paid by the Zone           mains difficult (Cadot & Nasir, 2001). The
Franche companies is not significantly different,       main threat facing the Zone Franche comes in
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