Socio-economic impact of the Ebola Virus Disease in Guinea, Liberia and Sierra Leone - Policy Notes Volume 1, Numbers 1-5

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Socio-economic impact of the Ebola Virus Disease in Guinea, Liberia and Sierra Leone - Policy Notes Volume 1, Numbers 1-5
Socio-economic impact ­
of the Ebola Virus Disease in ­
                                     Empowered lives.
                                     Resilient nations.

Guinea, Liberia and Sierra Leone

Policy Notes Volume 1, Numbers 1-5
Socio-economic impact of the Ebola Virus Disease in Guinea, Liberia and Sierra Leone - Policy Notes Volume 1, Numbers 1-5
Cover photo: Congo market, In Freetown, (Photo: Lesley Wright/UNDP)

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Socio-economic impact of the Ebola Virus Disease in Guinea, Liberia and Sierra Leone - Policy Notes Volume 1, Numbers 1-5
Socio-economic impact ­
  of the Ebola Virus Disease in ­
Guinea, Liberia and Sierra Leone

         Policy Notes Volume 1, Numbers 1-5
Socio-economic impact of the Ebola Virus Disease in Guinea, Liberia and Sierra Leone - Policy Notes Volume 1, Numbers 1-5
A farm in Faranah, Guinea. The country is a breadbasket in West Africa but some of its regions’ agricultural exports have been hard hit by the Ebola crisis (Photo: UNDP).
Socio-economic impact of the Ebola Virus Disease in Guinea, Liberia and Sierra Leone - Policy Notes Volume 1, Numbers 1-5
Table of Contents
Vol. 1, No. 1, 3 October 2014
The Economic Impact of Ebola in Guinea, Liberia and Sierra Leone                                    8

Vol. 1, No. 2, 10 October 2014
Ebola Virus Disease (EVD) imposes substantial loss in household incomes in
Guinea, Liberia and Sierra Leone                                                                   12

Vol. 1, No. 3, 24 October 2014
Ebola Virus Disease Outbreak (EVD) is overstressing the fiscal capacity of Governments in Guinea,
Liberia and Sierra Leone                                                                           18

Vol. 1, No. 4, 9 November 2014
Ebola Virus Disease (EVD) Outbreak and Price Dynamics in Guinea, Liberia and Sierra Leone          26

Vol. 1, No. 5, 28 November 2014
Livelihoods are threatened in Guinea, Liberia and Sierra Leone by Ebola Virus Disease (EVD)        32
Socio-economic impact of the Ebola Virus Disease in Guinea, Liberia and Sierra Leone - Policy Notes Volume 1, Numbers 1-5
A motorcycle driver raising awareness of Ebola in Freetown. (Photo: Lesley Wright/UNDP)
Socio-economic impact of the Ebola Virus Disease in Guinea, Liberia and Sierra Leone - Policy Notes Volume 1, Numbers 1-5
Overview
The Ebola health crisis has become a complex de-        With the strong commitment of governments, the
velopment challenge for Guinea, Liberia and Sier-       international community and the private sector,
ra Leone. In eight months, the outbreak has caused      ending the outbreak and resuming growth and
more cases and deaths than all previous epidemics       development are possible. That effort will require
combined. In the affected countries, weak capaci-       building community resilience, reviving formal
ties, human resources and health systems; uncon-        and informal loan and microfinance programmes,
trolled migration flows; poor social cohesion; and      supporting food production in the next planting
the persistence of traditional beliefs and practices    season, promoting value chains in export-oriented
have contributed to the crisis.                         primary commodities, as well as resuming initia-
                                                        tives to strengthen skills. In addition, containing
Ebola is hurting economies and livelihoods, slash-      the disease must go hand in hand with rebuild-
ing gross domestic output, threatening food se-         ing and strengthening the health systems in these
curity, reducing opportunities for jobs and live-       countries.
lihoods, and slowing down foreign investment.
All of these consequences are robbing people of a       UNDP is working on providing concrete evidence
well-deserved peace and promising development           that will help to accelerate recovery efforts. Work-
gains.                                                  ing with the UN Mission for Ebola Emergency
                                                        Response (UNMEER) which is leading the UN’s
Through its impact on prices, the epidemic is re-       overall response, UNDP is leading early recovery
ducing people’s purchasing power and increasing         efforts, and supporting nationally-led efforts to ad-
their vulnerability, even more so in rural areas. The   dress the crisis. UNDP’s response to the crisis is
most active and productive segments of the labour       focusing on three priorities: Stronger coordination
force, including women, are being decimated by          and service delivery; community mobilization and
the virus. Income-generating opportunities are be-      outreach; socioeconomic impact and recovery.
ing reduced, especially for those in vulnerable em-
ployment. All in all, household incomes in affected     The international community can help the affected
countries have suffered, plummeting by around 12        countries limit the socio-economic impact of this
percent in Guinea and 35 percent in Liberia and         crisis. By stepping up recovery efforts even as the
posing a potential threat to peace and stability.       immediate response is on-going, these countries
                                                        will be in a better position to reset their economies
The crisis is also stressing the fiscal capacity of     and embark on sustainable development paths.
governments in Guinea, Liberia and Sierra Leo-
ne. Overall shortfalls in tax and non-tax revenues
resulting from the outbreak are continuing to in-
crease. Fighting the disease is blowing up recurrent
expenditures, often at the expense of infrastruc-
ture spending, and in the midst of low absorptive
capacities. Meanwhile, government financing gaps        Abdoulaye Mar Dieye
are widening and increasing public debts.               UNDP Regional Director for Africa

                                                                                                                7
Socio-economic impact of the Ebola Virus Disease in Guinea, Liberia and Sierra Leone - Policy Notes Volume 1, Numbers 1-5
Vol. 1, No. 1, 3 October 2014

        A little girl after washing her hands in the neighborhood of Mabella, Sierra Leone. (Photo: Lesley Wright/UNDP)

        The Economic Impact of
 the Ebola Virus Disease (EVD) in
Guinea, Liberia and Sierra Leone
Socio-economic impact of the Ebola Virus Disease in Guinea, Liberia and Sierra Leone - Policy Notes Volume 1, Numbers 1-5
EVD is posing serious development
­challenges in the epicenter countries
West Africa is experiencing the worst-ever out-        Economic impacts cut across loss
break of Ebola Virus Disease (EVD) globally. In        of gross domestic output, threat to
less than five months, what looked like a confined     food security, fall in employment and
outbreak in a remote community in Guinea in            livelihoods, and decline in foreign
March 2014became a complex development chal-           investment
lenge in Guinea, Liberia and Sierra Leone, and a       The nature of the outbreak imposes serious im-
threat to economic activities and public health in     pacts on the economy. The restrictions on the
the Democratic Republic of the Congo, Nigeria          movement of goods and people have threatened
and Senegal. As at 22 September 2014, the total        the food chains from production to market access
number of confirmed cases and deaths stood at          and commerce. Most countries bordering Guinea,
5,800 and 2,800:1 Liberia was the worst hit, with      Liberia and Sierra Leone have closed their borders
1,698 cases and 871 deaths, followed by Sierra         – with thousands losing access to their livelihoods
Leone (1,216 cases and 476 deaths) and Guinea          and sources of income, including farmers who can
(771 cases and 498 deaths). The average EVD fa-        no longer harvest their produce. Even banks in Si-
tality ranged from 39.14 percent in Sierra Leone       erra Leone have been closing business at 1.00p.m.,
to 64.59 percent in Guinea, and in less than eight     thereby restricting access to financial resources for
months, it surpassed the cumulative sum over 32        investment and consumption activities. The limit-
years (1976-2008).                                     ed supply of goods and services has started to take
                                                       its toll on prices: the prices of oil, rice and pota-
The outbreak and the inability to contain it are a     toes doubled in Liberia, and the price of rice was
reflection of weak institutional and infrastructural   marked up by at least 30 percent in Sierra Leone.
capacities, which include, inter alia: weak human      In April alone, inflation rose from 6.39 to 7.8 per-
development outcomes; weak health systems; free        cent in Sierra Leone.2 Since July and August is the
migratory patterns of people; the persistence of       planting season in the region, a food crisis in early
fragility characterized by weak social infrastruc-     2015 is imminent in these countries and beyond.
ture; and socio-cultural practices such as tradi-
tional funerals. Efforts are still ongoing to mobi-    Substantial resources devoted to development
lize experts and resources towards controlling this    work are now diverted to addressing public health
outbreak from, among others, the United Nations,       implications of the outbreak. For instance, most
non-governmental organizations (NGOs) and the          United Nations development resources in these
United States’ Centers for Disease Control and         countries have been reprogrammed to address this
Prevention.                                            emergency; the World Bank is also reprogram-
                                                       ming along this line.
The loss of lives, morbidity, restrictions, panic as
well as the risk aversion behaviour of investors       The risk aversion behaviour of trade, business and
have serious economic impacts.                         tourism partners could exacerbate the risk aver-
                                                       sion behaviour of foreign investors, which could
                                                       result in short- and medium-term economic im-
                                                       pacts. British Airways, Emirates Airlines, Kenya
                                                       Airways and Air Côte d’Ivoire have already halted
                                                       flights to some affected countries. As tourists can-

                                                                                        Vol. 1, No 1, 3 October 2014   9
Socio-economic impact of the Ebola Virus Disease in Guinea, Liberia and Sierra Leone - Policy Notes Volume 1, Numbers 1-5
cel their bookings and movements within coun-                                       tively contained, the effects on GDP growth could
     tries, local hotels and restaurants suffer a slump                                  be devastating by 2015, ranging from 2.3 percent
     in their business, which results in lay-offs and                                    in Guinea, 8.9 percent in Sierra Leone, and 11.7
     slowdowns in economic activities of other sectors                                   percent in Liberia. This could cause a drop in Li-
     that depend on the hospitality sector. The popular                                  beria’s net growth of 6.8 percent to -4.9 percent in
     Lumley Beach in Sierra Leone, known for its expa-                                   2015.
     triate patronage, is now completely deserted.
                                                                                         Enhanced and coordinated
     Some mining companies, the main source of for-                                      ­international community support
     mal employment and government revenues, have                                         is critical for containing the disease
     closed down part of their operations. The China                                      and reversing economic hardships
     Union,3 a firm that ships iron ore in Liberia, Dan-                                  ­imposed by EVD
     gote Cement company in Liberia, Vale, the world’s                                   The economic impacts of the outbreak are strong–
     largest iron ore producer, operating in Guinea4 and                                 from job losses and low revenue to low productiv-
     Marampa iron-ore mine in Sierra Leone have all                                      ity and low growth. These impacts could reverse
     sent their workers home.5 Sime Darby, the world’s                                   the gains achieved on the Millennium Develop-
     largest palm oil producer, also reduced output in                                   ment Goals (MDGs), especially on poverty, food
     Liberia, and Sifca Group, a Côte d’Ivoire agribusi-                                 security, and child and maternal health. Greater
     ness, halted rubber production in Liberia.                                          community engagement in the preparedness and
                                                                                         response is imperative. Enhanced and coordinated
     The close-down or lull in business operations not                                   international community support is critical, with
     only results in losses in jobs and profits to compa-                                aroundUS$1 billion estimated as the resource re-
     nies, but also limited fiscal space of governments.                                 quirement over the next few months. To this end,
     The largest fiscal impact is felt in Liberia US$93.00                               the United Nations has set up the United Nations
     million (4.7% of GDP), followed by US$79.00                                         Mission for Ebola Emergency Response (UN-
     million in for Sierra Leone (1.8% of GDP) and                                       MEER), which is aimed at stopping the outbreak,
     US$120.00 million for Guinea (1.8% of GDP). This                                    treating the infected, ensuring essential services,
     could worsen if the EVD is not quickly contained.6                                  preserving stability and preventing further out-
                                                                                         breaks. Further, the United Nations has also es-
     The potential loss in production and short- and                                     tablished the Ebola Multi-Partner Trust Fund to
     medium-term productivity due to slackened eco-                                      ensure a coherent United Nations system contri-
     nomic activities induced by the EVD has tell-                                       bution to the overall response. The support should
     ing effects on the countries’ GDPs. Bloomberg                                       not be restricted to humanitarian response, but
     has projected the combined losses in the GDP of                                     rather, it should also include fiscal support, in-
     Guinea, Liberia and Sierra Leone at around US13                                     frastructure support including withdrawal of the
     billion. The estimates from the World Bank show                                     economic blockage, and strengthening the sur-
     that the fall in GDP in 2014 could range from 2.1                                   veillance, detection and treatment capacity of the
     percent (Guinea) to 3.3 percent (Sierra Leone) and                                  health system.
     3.4 percent (Liberia). If the outbreak is not effec-

10   Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
A business owner from Waterside Market in Monrovia, Liberia (Photo: Carly Learson/UNDP)

                                                         Vol. 1, No 1, 3 October 2014     11
Vol. 1, No. 2, 10 October 2014

Vendors struggle with plummeting sales and rising cost of transporting goods to the market in West Point after the Ebola Outbreak and qurantine took effect in Liberia. (Morgana Wingard/ UNDP)

              The Ebola Virus Disease (EVD) imposes
              ­substantial loss in household incomes
                  in Guinea, Liberia and Sierra Leone

    12                  Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
Context
Ebola has become one of the most complex devel-            capacities, including weak health systems, free
opment challenges in Guinea, Liberia and Sierra            migratory patterns, the persistence of fragility
Leone. As at 22 September 2014, the total number           characterized by weak social infrastructure, and
of confirmed cases and death stood at 5,800 and            socio-cultural practices. Although national and
2,800, respectively,1 and the trend is rising. Liberia     global efforts to tame the disease have increased,
is the worst hit (1,698 cases and 871 deaths) fol-         EVD is yet to be contained. And it has continued
lowed by Sierra Leone (1,216 and 476) and Guinea           to threaten economic activities, productivity, live-
(771 and 498). The average fatality ranged from            lihoods and employment in the three epicentre
39.14 percent in Sierra Leone to 64.59 percent in          countries. The loss of lives, morbidity, restrictions,
Guinea, and health personnel are also affected. The        panic, and aversion behaviour of households, mar-
EVD fatality in less than eight months surpassed           ket agents and investors have serious effects on
the cumulative sum in 32 years (1976-2008). Over-          households’ incomes.
all fatalities were over 54 percent of the confirmed
cases in these three countries; interdependence            Loss in households’ incomes
across countries makes containment challenging.            The outbreak, if not effectively contained and
EVD is not only confined to these three countries,         managed, could reverse much of the economic and
but has also spread to the Democratic Republic of          social gains achieved (including the Millennium
the Congo, Nigeria, Senegal, Europe and America.           development Goals, or MDGs) over the past dec-
                                                           ade. The annual growth in these three countries,
The outbreak and inability to contain it are a re-         between 2000 and 2013, averaged 2.79 percent
flection of weak institutional and infrastructural         (Guinea), 8.21 percent (Sierra Leone) and 10.18

 Figure 1: Correlation between per capita income and Ebola-related deaths

                           Guinea                        Liberia                  Sierra Leone
          0.0

         -0.2

         -0.4

         -0.6

         -0.8

         -1.0

                                                                                           Vol. 1, No. 2, 10 October 2014   13
Figure 2: The impact of EVD on household incomes

                  800
                                     Liberia          Sierra Leone           Guinea
                  700

                  600

                  500

                  400

                  300

                  200

                  100
                           2000
                                    2001
                                            2002
                                                    2003
                                                            2004
                                                                    2005
                                                                            2006
                                                                                    2007
                                                                                            2008
                                                                                                   2009
                                                                                                          2010
                                                                                                                 2011
                                                                                                                        2012
                                                                                                                               2013
                                                                                                                                      2014
     percent (Liberia). They have started to feel the del-                               especially when the ‘bread winner’ or head of
     eterious impact of EVD on economic growth. The                                      household dies or is seriously sick. This not only
     short-term impact on gross domestic output has                                      leads to loss of productivity, but also breeds a high
     been estimated at 2.1 percentage points in Guinea                                   dependency ratio. This increases the level of vul-
     (reducing growth from 4.5 to 2.4 percent); 3.4 per-                                 nerability and could increase the number of peo-
     centage points in Liberia (reducing growth from                                     ple falling below the poverty line. Some indirect
     5.9 to 2.5 percent); and 3.3 percentage points in                                   effects further compound this reality. Stigmatiza-
     Sierra Leone (reducing growth from 11.3 to 8 per-                                   tion in these three countries creates discrimina-
     cent). This forgone output corresponds to US$359                                    tion against households and communities with
     million in 2014 prices. However, if EVD is not                                      Ebola: neighbours, drivers and traders avoid them.
     contained, these estimates could rise to US$809                                     In turn, to a large extent, this reduces their access
     million in the three countries alone. In Liberia,                                   to food and basic services.
     the hardest hit country, the impact of a high Ebola
     scenario could reduce output by 11.7 percentage                                     The strength and direction of the linear relation-
     points in 2015 (reducing growth from 6.8 percent                                    ship between household incomes (using per capita
     to -4.9 percent).2                                                                  income), and mortality and morbidity associated
                                                                                         with EVD is strong across the three countries.3 The
     The potential loss in production and short- and                                     direction of relation in the countries is negative
     medium-term productivity due to slackened eco-                                      and it is strongest in Liberia; followed by Sierra
     nomic activities induced by the EVD has telling ef-                                 Leone (Figure 1). High incidence of EVD is asso-
     fects on households’ livelihoods, jobs and income.                                  ciated with a substantial reduction in household
     This could pose some negative impact on their                                       incomes. For instance, Lofa Country, one of the
     health, children’s and wards’ education attendance                                  heavily affected areas in Liberia, is self-sufficient in
     and performance as well as the overall poverty and                                  rice and produces 20 percent of rice in the coun-
     MDG situation. Morbidity and mortality could                                        try.4 With the high rate of morbidity, mortality and
     also pose serious threats to households’ incomes,                                   restrictions of movement, most farmers could not

14   Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
Figure 3: Household income loss

         250

                      % loss       US$ loss
         200

         150

         100

          50

                        Guinea                        Liberia                 Sierra Leone
           0

         -50

harvest their produce. This cuts the farmers off         loss in per capita income in the three countries
from their livelihoods and incomes.                      is more revealing. For people already living at the
                                                         margin of absolute poverty line ($1.25 per day),
The gains in household income over the past one          this results in not having income for the basics for
and a half decades are being destroyed by EVD            54 days (Guinea), 138 days (Liberia) and 169 days
(Figure 2). Guinea, Liberia and Sierra Leone have        (Sierra Leone).
consistently experienced an improved level of per
capita income since 2001, averaging an annual            The loss of farm harvest to farmers, reduced pas-
growth rate of 4.33 percent in Guinea, 8.74 per-         sengers for transport operators, temporary and
cent in Liberia and 13.50 percent in Sierra Leone.       occasional closure of markets, partial operations
The outbreak of EVD, in just six months, has led to      of banks, total restrictions of movements to ar-
severe loss in household incomes – 35.13 percent         tisans, closure of government offices and laying
(Liberia), -29.67 percent (Sierra Leone) and -12.73      off of workers in mines and other companies all
percent (Guinea) (Figure 3).                             contributed into substantial loss in households’
                                                         incomes. The rising trend in price movements in
The shocks to income could make people more              these countries also has some telling effects on
vulnerable and could reverse the gains made in           households’ real income arising from weak pur-
poverty reduction in some of these countries. For        chasing power.
instance, the reduction in poverty from 92.61 per-
cent in 1991 to 43.31 percent in 2007 in Guinea          Key Conclusions
could be reversed. A similar trend is also observed      The income effects of EVD is high and could un-
for Sierra Leone. The impact of loss in per capi-        dermine the achievements made on the MDGs
ta income varies from one income group to an-            over the past decade, especially in poverty, food
other; the most severe burden is on people in the        security, education, child and maternal health. A
lowest quintile. Using the absolute poverty line of      sharp drop in income, ranging from around 12.00
US$1.25 as a benchmark, the ‘day equivalent’ of          to 35.00 percent, is a recipe to restiveness, which

                                                                                        Vol. 1, No. 2, 10 October 2014   15
could further reverse the progress made in peace                                    to identify direct and indirect channels through
     building, national building and stability in Guinea,                                which EVD affects household incomes (includ-
     Liberia and Sierra Leone. This calls for urgent ac-                                 ing stigmatization) and should institute proactive
     tions to stop the outbreak and address the serious                                  awareness-raising programmes to educate and
     hardship it is imposing on communities and peo-                                     re-orientate communities and investors on these
     ple, including loss of income, livelihoods and jobs.                                issues. This must be complemented with enhanced
     Livelihood regeneration, income support and safe-                                   capacity to treat affected people, provide essential
     ty net programmes must be institutionalized in se-                                  services, and prevent the spread of EVD to other
     riously affected communities. Government needs                                      areas.

16   Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
A former teacher in Monrovia on losing his job after school closures due to the Ebola Virus. (Morgana Wingard/ UNDP)

                                                                                    Vol. 1, No. 2, 10 October 2014     17
Vol. 1, No. 3, 24 October 2014

                                                         In Freetown, Okada taxi riders are using their business to raise awareness of the disease (Photo: Lesley Wright/UNDP)

     The Ebola Virus Disease Outbreak (EVD)
          is overstressing the fiscal capacity
                  of ­Governments in Guinea,
                      Liberia and ­Sierra Leone
18      Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
Context
The Ebola virus disease (EVD) outbreak in the           to meet national health, social and development
Mano River Union countries of Guinea, Sierra Le-        obligations without jeopardizing macro-econom-
one and Liberia is one of the most complex devel-       ic stability. How has the Ebola crisis affected the
opmental challenges in recent times. In addition        revenue generation, expenditure expansion, infra-
to truncating the appreciable economic growth           structure spending prioritization, and public debt
of the past decade and worsening the unemploy-          positions in Guinea, Liberia and Sierra Leone?
ment situation in these countries, it is particularly   This Policy Brief looks at the impact of EVD on
imposing a serious stress on the fiscal capacity of     the fiscal space in these countries.
governments.
                                                        How has EVD crisis affected revenue
The new waves of EVD are completely different in        generation, spending priority and
scope and in depth, partly because of cultural and      public debts?
institutional interplay, and partly because these       The Ebola crisis weakens the capacity to optimally
countries are socially and economically integrated      generate revenues and puts pressure on public ex-
with their neighbours. There are more cases and         penditures. It reduces revenue through cuts in eco-
associated fatalities in eight months than the com-     nomic activities and employment, and a reduction
bined 20 episodes of EVD outbreak since 1976.           in tax compliance. It also increases expenditure,
What looked like a manageable phenomenon on             especially through awareness raising and sensitiza-
25 March (86 cases and 60 deaths and localized          tion, logistics and supplies, sanitation, and incen-
in Guinea) has become an issue of monumental            tives to health workers as well as social protection
proportion (9,062 cases and 4,542 deaths – now          responses from governments. Arising from the
spreading beyond borders) as of 12 October, with        widening gap created between declining revenue
Guinea, Liberia and Sierra Leone as the epicen-         and rising expenditures, public debt increases and
tres.1                                                  the ability of these countries to grow out of aid is
                                                        further weakened.
The fatality rate ranges from 36.4 per cent in Sierra
Leone to around 58.0 percent in Guinea and Li-          Capacity to generate tax and non-tax
beria. The improved management of the outbreak          ­revenues is weakened
over the past months has substantially reduced the      The decline in production and related economic
fatality rate from an average of about 70.0 percent     activities, the resultant job losses and evacuation
over the past three months. Most of the dead are        of expatriate workers take a substantial toll on the
women and around two-thirds of those infect-            revenue collection of governments through a re-
ed are in the most economically active age group        duction in personal income tax and company in-
(15-50 years). The disease has taken a toll on the      come taxes. The uncertainty created by EVD has
health system, with four doctors and more than          further weakened tax compliance in these coun-
30 nurses among the dead in Sierra Leone, and 92        tries. Government revenues from taxes, tariffs and
health workers in Liberia. As health workers fall ill   customs from leading sectors such as tourism,
and die, and the EVD grows exponentially, these         agriculture, manufacturing and mining are threat-
countries’ capacity to manage the disease becomes       ened by risk aversion behaviour resulting from re-
overwhelmed.                                            strictions on movement of people and goods.

EVD weakens the ability of governments to man-          Tourism, an important source of government
age their revenues, expenditures and public debts       revenues, has been seriously hit by EVD. In Si-

                                                                                       Vol. 1, No. 3, 24 October 2014   19
Figure 1: Decline in major agricultural production                                by 1 September. In Liberia, the average hotel occu-
       in Guinea, Jan-June 2013 and Jan-June 2014                                        pancy also dropped from over 70.0 percent before
                                                                                         the crisis to about 30 percent in September 2014,
                                                                                         while the number of weekly commercial flights
                                                                                         dropped from 27 between January and August
                                                                                         to only six from the beginning of September. A
                                                                                         similar trend is observed in Guinea: in Conakry,
                                                   Coffee, 53.4                          the hotel occupancy rate fell by half to less than
                  Palm, 75.0
                                                                                         40 percent compared to an average of 80 percent
                                                                                         before the crisis. Because taxes are paid based on
                                                                                         rate of occupancy and number of visitors, this has
                                                                                         led to substantial losses in revenues.
                                            Cocoa, 34.6
                                                                                         The disruptive impact on revenues accruing from
                                                                                         agriculture exports will be felt most in Sierra Le-
                                                                                         one, where agriculture accounts for 57.0 percent
                                                                                         of GDP, followed by 39.0 percent in Liberia and
                                                                                         20.0 percent in Guinea.2 In Sierra Leone, for in-
                                                                                         stance, cocoa and coffee production, which ac-
                                                                                         count for 90.0 percent of agricultural exports, has
     erra Leone, the hotel occupancy rate dropped by                                     stalled due to people abandoning their farms.3 In
     50.0-60.0 percent and the number of visitors to the                                 Liberia, production and shipment of rubber, the
     country, which rose from around 5,500 in Febru-                                     single most important agricultural export for the
     ary to over 8,200 in April, fell considerably to less                               country, have been seriously affected by EVD be-
     than 2,000 in August 2014. The number of weekly                                     cause of the reduced mobility of the workforce and
     flights dropped from 31 until August to only six                                    the difficulty in getting the products to the ports

       Figure 2: Tax and non-tax revenue prior to and during EVD (US$ million) in 2014

                  1500

                  1200

                   900

                   600

                   300

                       0
                                          Guinea                                   Liberia                            Sierra Leone
                  -300

                       Tax and non-tax revenue (Pre Ebola crisis)         Tax and non-tax revenue (adjusted as a result of Ebola)     Net Change

20   Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
Figure 3: Trend in national revenue in Sierra Leone (SLL million)

        400000
                       Total Revenue and Grants     Domestic Revenue     Grants
        350000

        300000

        250000

        200000

        150000

        100000

         50000

              0
                    FY2010           FY2011         FY2012           FY2013        FY2014     FY2014-Ebola

due to the quarantine zones. The initial projection            tember 2014, revenue shortfall as a share of GDP
for rubber exports for 2014 (US$148 million) has               varies from 0.77 percent in Guinea to 1.26 percent
been estimated to drop to $118.4 million, repre-               in Sierra Leone and 2.04 percent in Liberia. This
senting a reduction of around 20 percent. Figure 1             could have serious implications on fiscal sustain-
shows how key export commodities such as cocoa                 ability of governments.
and palm oil have been badly hit in Guinea.
                                                               Revenue collection in Guinea in September was
The mining sector, an important source of reve-                only 54.0 percent compared to the initial projec-
nue in Sierra Leone and Liberia, also faces a sig-             tion of 67.0 percent. The low performance led to a
nificant disruption due to the repatriation of per-            revision in revenue collection for 2014 from 19.7
sonnel and travel restrictions. In 2013, in Liberia,           to 18.8 percent of GDP. Overall domestic reve-
this sector accounted for 17.0 percent of GDP and              nues (taxes and non-taxes) in Sierra Leone, based
56.0 percent of total exports ($559.0 million). It             on original projections for the 2014, fell by 10.39
contributed 16.0 percent to GDP in Sierra Leone.               percent (Figure 3) – ranging from 10.07 percent
The potential additional revenues from the recent              for personal income tax to 20.68 percent for im-
expansion of industrial and mining sectors are at              port taxes5. Also, in Liberia, as of the first week of
risk due to the scaling down of operations by key              September 2014, revenue collection fell short of
investors such as the China Union, Acerlor Mital,              the pre-Ebola forecast by around $10.00 million,
as well as the Australia and Canada firms in Libe-             which has made the Government to adjust its Sep-
ria and Sierra Leone.4                                         tember targets downwards – from $41.7 million to
                                                               $26.3 million for September 2014.6 Evidence from
The overall tax and non-tax revenues shortfall re-             the Ministry of Finance, as of the first week of
sulting from the EVD outbreak appears relatively               October, indicated that the projected revenue for
small in absolute figures – from $45.7 million in              fiscal year (FY) 2014/2015 is expected to decline
Liberia to $58.0 million in Sierra Leone (Figure 2),           by around 19.0 percent from the original projec-
but it is relatively big as a share of GDP. As of Sep-         tion of $559.3 million to $453.2 million (around

                                                                                               Vol. 1, No. 3, 24 October 2014   21
$106.1 million) due to an anticipated decline in                                    ment of a response plan in August 2014 included
     various taxes and other administrative fees. Sever-                                 the allocation of $100 million to contain and pro-
     al factors contributed to the decline in revenues in                                vide support to families affected by the epidemic,
     these countries: closure of businesses, loss of jobs,                               of which $34.0 million was set aside for food aid
     evacuation of expatriate staff, reduction in sales of                               and social protection.
     goods and services, restriction of movement and
     risk aversion behaviour, and a decline in major                                     The Sierra Leonean Government also established
     primary exports.                                                                    169 community holding centres for Ebola pa-
                                                                                         tients;8 and treatment centres with a total of 1,500
     The epicentre countries depend on official devel-                                   beds. The 1,500 additional treatment centre beds
     opment assistance (ODA) as an important source                                      will require a 5,250 healthcare staff;9 equipment
     of revenue. Liberia has the highest dependence on                                   and logistics,10 and more laboratories. At least five
     ODA, at 50.0 percent of GDP in 2011 ($185 per                                       additional ones are urgently needed since the cur-
     capita), compared to 14.0 per cent ($71 per capita)                                 rent four customized Ebola laboratories can only
     in Sierra Leone and 4.0 per cent in Guinea ($20                                     handle about 150 samples per day.
     per capita). The accelerated economic growth ex-
     perience of the recent past that could have weaned                                  The Government of Liberia also set up an Ebola
     these countries out of ODA orphanage is being re-                                   task force, established an Incidence Management
     versed. If not effectively controlled, and given the                                Centre focusing on epidemiology, and opened a
     impact of EVD on long term development, these                                       national Ebola Command Centre to oversee coor-
     countries are likely to be further enmeshed in                                      dination and strategic planning, monitoring and
     aid-dependency syndrome.                                                            evaluation, including tracking of contacted per-
                                                                                         sons. It also put in place an agricultural stimulus
     EVD imposes exponential increase in                                                 ($30 million) and an unconditional cash transfer
     ­recurrent expenditure, often at the ­expense of                                    ($30 million) to people affected by EVD. The Min-
      infrastructure spending, and in the ­context of                                    istry of Health and Sanitation also developed a Na-
      low absorptive capacity                                                            tional Response Plan in May 2014 and dedicated
     Due to the rising trend of EVD in the epicentre                                     $1.78 million, which was revised to $25.9 million
     countries, an exponential increase in spending                                      in July.
     is inevitable. To stop the outbreak, treat infected
     people, provide essential drugs, increase security                                  Given the expenditure requirements enumerated
     and prevent outbreaks in non-affected areas, sub-                                   above, recurrent spending (such as salaries and
     stantial resources are needed for communication                                     other running costs) of the three countries have
     campaigns and awareness raising, facilities and                                     increased – by 6.4 percent in Guinea (around
     equipment, training of health caregivers, and so-                                   $70.0 million), by 6.5 per cent in Sierra Leone
     cial protection mechanisms, among others. The                                       (around $37.0 million) and by 15.2 percent in Li-
     main challenge is that these countries are experi-                                  beria ($67.2 million). Evidence from the Ministry
     encing low absorptive capacity. For instance, cost                                  of Finance of Liberia further reveals that addition-
     overrun in Liberia is estimated to be about 20.0                                    al spending pressure resulting from the EVD is
     percent7. Addressing the absorptive capacity issues                                 estimated at $79.7 million. Generally, government
     remains imperative.                                                                 expenditure rose to between 27.4 and 30.7 percent
                                                                                         of GDP following treatment-related expenditures
     In Guinea, the following were undertaken: three                                     for the outbreak.
     mobile laboratories were set up; two treatment
     centres were established and are operating; 41                                      In these countries, the increase in spending arose
     control checkpoints were opened at the borders;                                     from payment for salaries, operations, mainte-
     and a number of measures were institutionalized                                     nance, logistics and public education. Spending
     at the airport to check the outbreak. The establish-                                on development projects including infrastructure

22   Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
has been sacrificed. The initial estimate of capital           The overall fiscal deficit (spending gap, includ-
spending sacrificed was estimated to $20.0 mil-                ing development expenditure and grants) is quite
lion (Liberia) and $16.0 million (Sierra Leone) to             high. Overall deficit for Sierra Leone, as a result
accommodate the health and social responses. In                of EVD, rose by 31.79 percent between April and
Sierra Leone, this has been revised to $44.7 million           September 2014. By early October, this was re-
as opposed to the earlier $31.3 million proposed in            vised from 4.2 percent of non-iron ore GDP to
the International Monetary Fund’s (IMF) revised                5.7 percent, while the estimated total grants and
augmentation programme.                                        loans were also revised from 7.0 percent of non-
                                                               iron ore GDP to 7.9 percent as a result of the crisis.
Governments financing gap is widening and                      The Ministry of Finance estimated the financing
it is having a toll on public debts                            gap for 2014 at $100.3 million. There was a fund-
The gap between revenue collected and basic needs              ing gap of $202.6 million in Liberia arising from
of government (excluding development spending)                 fall in revenue collection of $106.1 million and net
as a result of Ebola is around $113 million for Li-            expenditure pressure of $96.5 million.
beria (5.1 percent of GDP), $95 million for Sierra
Leone (2.1 percent of GDP) and $120 million for                The crisis is having a toll on public debts. In Sep-
Guinea (1.8 percent of GDP) in 2013 prices.                    tember 2014, the IMF granted additional emergen-

                                          Vendor selling laundry hampers at Waterside Market in Monrovia, Liberia. (Photo: Carly Learson/UNDP)

                                                                                                              Vol. 1, No. 3, 24 October 2014     23
cy financial aid to Guinea, Liberia and Sierra Leo-                                 sustainable debts in these countries, we call on the
     ne amounting to $130.0 million to help respond                                      international community to ensure all supports
     to the Ebola outbreak – $41.0 million for Guinea,                                   are in the form of grants, rather than loans. This
     $49.0 million for Liberia and $40.0 million for Si-                                 is important to boost their future economic and
     erra Leone. The revised fiscal framework, under                                     social development outlook.
     the existing Extended Credit Facility with the IMF
     also provided for additional borrowing of $17.0                                     Risk aversion behaviour, hysteria or panic, is an
     million from the domestic financial market in ad-                                   important channel through which EVD affects the
     dition to $9.2 million previously borrowed. More-                                   fiscal positions of government. The best antidote
     over, there was an agreement to either further                                      for fear or panic is urgent and effective response.
     borrow $8 million in the domestic market or un-                                     The international community must change the
     dertake a cut in expenditures of the same amount.                                   narrative that has started to stigmatized people in
     The World Bank has also approved $40.0 million                                      the Manu River Union.
     for grants and loans for each of the three countries.
     As of 10 October 2014, the African Development                                      Sacrificing development spending, especially for
     Bank (AfDB), committed $220.0 million – $60.0                                       roads, energy, building schools and hospitals,
     million through the World Health Organization,                                      could truncate peace dividends in these countries.
     $150.0 million directly to the three countries, and                                 The international community should translate
     $10.0 million to mobilize African doctors and                                       their pledges into commitment to halt the crow-
     health practitioners.                                                               ing out of infrastructure spending. Development
                                                                                         partners’ efforts to refocus their programmatic
     Conclusions                                                                         interventions in containing is commendable and
     EVD weakens the ability of the governments of                                       should be continued. Efforts to beef up the absorp-
     Guinea, Liberia and Sierra Leone to effectively                                     tive capacity of government is also vital.
     generate tax and non-tax revenues (mostly as a re-
     sult of risk aversion behaviours). Efforts to contain                               Essential services are needed in quarantine areas
     EVD, treat affected people and provide essential                                    and treatment holding centres. It is crucial to in-
     services have increased government expenditure                                      vest in building institutional capacity of the health
     phenomenally.                                                                       system in order to address the underlying causes
                                                                                         and factors that have made it difficult to contain
     The diverging trend in revenue and expenditures is                                  the outbreak. This includes renovating health in-
     exposing governments to unanticipated domestic                                      frastructure, increasing the quantity and quality of
     and external debts, which should be guarded effec-                                  healthcare staff, and investing in the decentraliza-
     tively to avoid fiscal unsustainability. To avoid un-                               tion of health system management.

24   Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
A woman sells oranges in a Monrovia neighborhood (Photo: Carly Learson/UNDP)

                                             Vol. 1, No. 3, 24 October 2014    25
Vol. 1, No. 4, 9 November 2014

                                                                                                 A market street in Monrovia (Photo: Carly Learson/UNDP)

     The Ebola Virus Disease (EVD) Outbreak
             and Price Dynamics in Guinea,
                    Liberia and Sierra Leone

26      Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
Ebola, through its impact on prices, is
­reducing people’s purchasing power and
 is increasing their vulnerability
Containing the EVD in Guinea, Liberia and Sier-                     ea and Liberia, but continues to rise exponentially
ra Leone still remains a serious concern. The total                 in Sierra Leone.2
number of confirmed cases was 11,428, with Li-
beria accounting for more than half of the cases,                   EVD could affect prices in several ways. The most
Sierra Leone, one third, and Guinea, just above                     affected communities and regions are the food
one tenth – as of 27 October 2014. Figure 1 pro-                    baskets of the epicentre countries; which result
vides the breakdown of cases, deaths and fatalities.                in an impending agricultural production short-
The average fatality rate is around 41.6 percent                    fall, which could cause a dramatic drop in food
(compared to 70 percent of infected people three                    prices. Also, the closure of ports with an associ-
months ago); it is highest in Guinea, at around                     ated decrease in the number of containers and
57.4 percent. The fatality rate among health work-                  vessels, and the increase in marine insurance pre-
ers is highest in Sierra Leone (79.5 percent) and                   miums affected the landed costs of imported food
lowest in Guinea (53.1 percent),1 which calls for an                and non-food items. Moreover, foreign aid from
urgent need to ensure that they are adequately pro-                 the international community could lead to a de-
tected against the disease. There is evidence that                  preciation of local currencies, thereby raising the
the rate of infection has started to decline in Guin-               local prices of imported goods and services. And

 Figure 1: Confirmed cases, deaths and fatality rates as of 27 October 2014

         8000
                      No. of confirmed cases     Confirmed deaths
         7000

         6000

                                                                                           Fatality rate
         5000
                                                                                            = 29.1%
                                                             Fatality rate
         4000
                                                              = 38.1%
                           Fatality rate
         3000
                            = 57.4%

         2000

         1000

            0
                           Guinea                             Liberia                     Sierra Leone

                                                                                                     Vol. 1, No. 4, 9 November 2014   27
finally, the risk of fiscal deficit financing arising                               As a result of the EVD in Liberia, the annual over-
     from pressure on spending and a decline in rev-                                     all price movement (headline inflation rate) rode
     enue collection could also put pressure on prices.                                  from 8.0 percent at the end of the fourth quarter
     The combined effects of the above together with                                     of 2013 to 8.2 percent at the end of March 2014.
     epidemiology and risk aversion behaviours could                                     This further jumped to 10.3 percent at the end
     weaken the purchasing power of the populations                                      of the second quarter. A similar trend was also
     and reduce their income. This could have a serious                                  observed in Sierra Leone. As shown in Figure 2,
     impact on their living conditions and livelihoods,                                  in contrast to the downward trend since the last
     thereby increasing poverty and vulnerability.                                       quarter of 2011, the overall price level increased
                                                                                         consistently from 6.39 percent in April to 7.51
     This Policy Brief examines the depth and dimen-                                     percent in September 2014. With income remain-
     sion of the impact of EVD on price movements in                                     ing constant, the quantity of goods and services
     Guinea, Liberia and Sierra Leone.                                                   that could be purchased fell by about one fifth in
                                                                                         Sierra Leone and by more than one quarter in Li-
     The reduction in purchasing ­powers                                                 beria. The rising trend of prices in these countries
     is stronger in Liberia and Sierra                                                   can be explained by: the disruption in agricul-
     ­Leone than in Guinea                                                               tural activities (Kailahun and Kenema in Sierra
     The response to the outbreak of the Consumer                                        Leone and Nimba, Bong, Grand Bassa and Lofa
     Price Index, a measure of overall price changes,                                    in Liberia); the closure of Guinea’s borders where
     varies across the three countries. Due to different                                 substantial food imports originate; less commer-
     policy initiatives and responses of governments                                     cial trade flows from the main trading partners;3
     and the reaction of international communities to                                    pressure on the national currency resulting in a
     the affected countries, the Index was relatively                                    depreciation of the exchange rate; and partly due
     volatile in Liberia and Sierra Leone, yet relatively                                to the fiscal deficit.
     stable in Guinea.

       Figure 2: Overall inflation and seasonally adjusted inflation in Sierra Leone

                    20
                                                                                                                        H eadline inflation
                                                                                                                         seasonally adjusted
                    18
                                                                                                                        H eadline inflation not
                                                                                                                         seasonally adjusted
                    16

                    14

                    12

                    10

                     8

                     6
                           01      04 07           10       01      04 07           10      01    04 07      10    01      04 07
                                    2011                              2012                         2013                   2014

28   Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
Figure 3: Monthly price change in Guinea

          1.4
                                                                                        2013            2014
          1.2

          1.0

          0.8

          0.6

          0.4

          0.2

            0
                   Jan/      Feb/      March/      April/      May/      June/       July/        Aug/
                   Feb       March      April       May        June       July       Aug          Sept

The aggregate money supply also rose, including             Rural communities felt the burden
credit to governments to finance the deficit. For           of price movements more than their
instance, money supply rose by 121.6 percent in             urban counterparts
Sierra Leone between May and September 2014.                Rural communities feel the effects of price move-
Furthermore, depreciation of the national cur-              ments due to the impact of EVD on prices more
rency became pronounced from March in Liberia               than urban communities. For instance, the overall
and from June in Sierra Leone.4 To a large extent,          price change was less than 10.0 percent in Free-
this reduces the purchasing power of the local cur-         town compared to almost 18.0 percent nationally
rencies in these countries. The cost of transport,          – an indication that the situation in rural areas is
which more than doubled in affected regions, also           worse than the national average. In Sierra Leone,
contributed to the hike in prices.                          there is also regional variation: the trend of price
                                                            movement was upward in the northern, eastern
In Guinea, the general Consumer Price Index rose            and southern regions, whereas it declined in the
by 4.1 percent between March and September                  western region. Figure 4 shows that the increase
2014: the decline in purchasing power was mar-              in prices is highest in the southern region – the
ginal. This trend is consistent with the seasonal           province with the least number of infected cases.
rise at this time of year (Figure 3) and is within the      Quarantine actions and restrictions of movements
projected annual inflation rate set at 8.5 percent,         have weakened access to food. Depressed demand
which is also consistent with the macro-economic            partly accounts for deflation (i.e. fall in prices) in
targets for 2014. Between January and September,            the western region in the context of a supply of ag-
the corresponding monthly inflation rates in 2013           ricultural products that surpasses what could be
were generally higher than in 2014. This is an in-          locally consumed due to a restriction of movement
dication that EVD has no discernible impact on              of goods and people – lack of market access creates
prices in Guinea.                                           a glut. A similar trend was also observed between
                                                            Monrovia and other parts of Liberia. For instance,

                                                                                             Vol. 1, No. 4, 9 November 2014   29
Figure 4: Changes in prices (%) between February and September 2014 across regions in Sierra Leone

                    30

                    25

                    20

                    15

                    10

                      5

                      0
                                 Western                Northern                Southern              Eastern         National
                     -5

                   -10

     the price of a 25 kg bag of Bellaluna rice in Mon-                                  ed between January and September 2014 against
     rovia, which was US$17.5 in October, was sold for                                   396,000 tonnes for the corresponding period for
     US$21.28 in the southeastern region. This implies                                   2013. This stemmed the possible impact of a short-
     that the price that southeasterners paid for 25 kg                                  fall in local production on prices. In Sierra Leone,
     of Bellaluna rice was enough to secure Monrovi-                                     there was mere 1.21 percent rise in the amount
     ans around 30 kg of the same rice. Most remote                                      spent on food items between May and September.
     communities were quarantined, and the restricted                                    The closure of Liberia’s and Sierra Leone’s borders
     movement of goods and people did not allow im-                                      also substantially reduced export of local rice from
     ported items to reach marginalized communities,                                     Guinea to these two contiguous countries. How-
     which resulted in a high impact of EVD on prices                                    ever, the heavy imports of food items are taking
     in rural areas. The increase in prices has worsened                                 a toll on Guinea’s foreign reserves, which requires
     livelihoods, increased vulnerabilities and deep-                                    some policy attention. Is the impact of EVD on
     ened inequalities among individuals, groups and                                     prices similar across commodities in these three
     communities.                                                                        countries?

     Proactive management matters in                                                     The price effect is more severe on
     reducing the impact on the people                                                   food items than on non-food items
     The domestic production of rice, the most con-                                      Price changes are more pronounced on food items
     sumed staple, dropped by 10.0 percent, largely                                      than non-food items in the three epicentre coun-
     due to a 35.0 percent decline in harvest from the                                   tries. Sierra Leone serves as an interesting example
     Guinea Forest region, where around three quarters                                   of diametrically opposed trends in price move-
     of EVD infection cases occurred. Domestic rice                                      ment for food and non-food items; in contrast
     production covers 80.0 percent of national rice                                     to the rise in prices of around one fifth for food
     production. How did the Government of Guinea                                        items, non-food items (excluding fuel) such as
     respond to such a heavy drop in local produc-                                       tobacco and narcotics, clothing and footwear de-
     tion? Importing large quantities of rice was the                                    clined by more than one quarter. During the EVD
     winning strategy: 512,000 tonnes of rice import-                                    outbreak, people focus more on basic items, thus

30   Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
depressing demand for non-essential items such as         active labour force narrows people’s consumption
electronics. For instance, in Sierra Leone, the price     choices and reduces the quality of their standard
of an imported brand of rice (50 kg) rose from            of living.
Le130,000.00 before the outbreak to Le170,000.00
during the outbreak, i.e. approximately a 30.8 per-       Stemming the tide of EVD on future
cent increase.                                            prices is doable
                                                          Some of the strategic interventions to achieve this
A similar trend was observed in Liberia. Prices           include:
of food items between March and June increased
by 67.3 percent compared to just 13.1 percent for         • In Guinea, Liberia and Sierra Leone, price
non-food items. The price of a 25 kg bag of Bellalu-        shocks increase the vulnerability of the poor
na rice in Monrovia increased from $US14.5 by               and the marginalized communities, especial-
the end September to US$17.5 in October, a 20.68            ly rural areas experiencing the outbreak. This
percent increase in just one month. The prices of           calls for a well-targeted social protection for
local staples such as cassava, farina (gari) and oil        people and communities heavily affected by
rose by 150 percent, 100 percent and 53.8 percent,          price hikes.
respectively, from September to October alone.
There has been a similar trend for meat, flour and        • The closure of borders reduces the supply of
sugar, and the prices of health items are also on a         imported commodities that could compensate
rising trend.                                               for the shortfall in domestic production. Coun-
                                                            tries should desist from closing their borders to
In Guinea, although price changes are marginal, in          avert the inflationary impact of such actions on
general, when they do occur, the changes in pric-           the epicenter countries.
es of food items are higher than non-food items.
Several factors account for the relative stability in     • The Governments of these three countries
prices in Guinea: the decline in trade with the rest        should strategically support local farmers to
of the country, the restriction of trade with the           prepare for the next planting season to avoid
countries of the sub-region, and the distribution           food shortages in 2015 and beyond. This in-
of large quantities of food to affected households          cludes the provision of improved seedlings,
and communities by the international community.             fertilizers and finances. It is also important to
In spite of the price stability, the high cost of local     address all impediments that make locally pro-
rice relative to imported rice, which almost dou-           duced rice more expensive than imported rice.
bled, deserves some policy consideration.
                                                          • The ministries of finance and central banks of
In these three countries, the panic purchase of             these countries should effectively coordinate
food items and non-food products often used to              fiscal and monetary policies to ensure that ex-
fight against EVD, such as chlorine, buckets and            change rates and domestic borrowing do not
infrared thermometers, also contributed to the              distort the price system.
diametrically opposed inflationary trends in Li-
beria and Sierra Leone. The opposite is the case          • Given that EVD affected the planting seasons
for non-essential items such as electronics, which          of these countries, the international communi-
declined by 40.0 percent in Liberia between June            ty should scale up support for the provision of
and September 2014. The effect of rising prices             food and related items to cushion the effect of
vis-à-vis constant or plummeting incomes of the             food shortages and the associated price hikes.

                                                                                       Vol. 1, No. 4, 9 November 2014   31
Vol. 1, No. 5, 28 November 2014

Vendors struggle with plummeting sales and rising cost of transporting goods to the market in West Point after the Ebola Outbreak and qurantine took effect in Liberia. (Photo: Carly Learson/UNDP)

                                     The Ebola Virus Disease (EVD)
                                         is threatening livelihoods
                                in Guinea, Liberia and Sierra Leone

      32                  Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
A substantial reduction in EVD ­transmission
rate, but new outbreaks in previously
­unaffected areas remain serious a concern
There has been mixed progress over the past two        The knock-on-effect of EVD on livelihoods
months on the containment of EVD. The substan-         is complex – from the loss of jobs and rising
tial reduction in the transmission rate, especially    under-employment to low productivity and
in Guinea and Liberia, is a welcomed develop-          reduced incomes
ment; yet new outbreaks in areas not previously        The EVD impact on livelihoods takes many
heavily affected are damaging the gains made. For      forms. EVD mortality and morbidity as well as
instance, there have been no new cases over the        the associated restriction of movement of people
past three weeks in Guéckédou in Guinea, or in the     and goods, and the closure of borders and mar-
district of Lofa in Liberia over the past two weeks,   kets have disrupted households’ economic activi-
and a substantial decline has been witnessed in the    ties, jobs and incomes. People’s primary sources of
last two weeks in Kenema and Kailahun in Sierra        incomes and savings and loans schemes have been
Leone. However, the new transmission cases re-         depleted, and food prices have been rising. Due
ported in south-eastern Guinea and in Montser-         to limited or lack of access to jobs, livelihoods are
rado District in Liberia as well as the rising trend   compromised. For example, many farmers cannot
in western and northern Sierra Leone remain a          access their farms, and when they can, they lack
serious challenge.                                     workers for planting and harvesting. The limited
                                                       supplies of goods and services as a result of the
The rising number of treatment facilities, the time-   closure of borders and quarantine activities have
ly laboratory diagnosis of cases, and the capacity     led to underemployment. Further, public health
to conduct safe and dignified burials play a crucial   emergency by-laws prohibit certain activities,
role in halting EVD transmission. However, capac-      including group farming in Sierra Leone and Li-
ity varies across countries. For instance, between     beria; bars, night clubs and cinemas have been
20 October and 9 November, 72.0 percent of all re-     closed; and the hunting of bush animals and the
ported patients with EVD were isolated in Guinea       movement of motorbikes have been prohibited
compared to 20.0 percent in Liberia and 13.0 per-      during specific times of the day, especially in Li-
cent in Sierra Leone. The bad condition of roads       beria. The actively productive population are the
and highly centralized supply chain systems of Eb-     most affected, particularly women, who earn most
ola facilities are serious impediments to effective    of the household incomes and provide most of the
containment of the outbreak. As of 19 November         family support. Finally, stigmatization is denying
2014, 15,145 confirmed, probable and suspected         people access to jobs and new opportunities. Be-
cases of EVD were reported in six affected coun-       cause of stigmatization, people find it difficult to
tries (Guinea, Liberia, Mali, Sierra Leone, Spain      leave their communities to search for alternate
and the United States of America) and in two pre-      sources of income. A photographer from Banjour
viously affected countries (Nigeria and Senegal),      community, who opted to go to Monrovia because
with 5,420 reported deaths.1 Cases and deaths con-     of lull in economic activities in his area, was de-
tinue to be under-reported in this outbreak.           nied living his community.

                                                                                     Vol. 1, No. 5, 28 November 2014   33
The most active and productive segment of                                           had fallen since May 2014.3 The situation in Guin-
     the labour force including women are being                                          ea is similar – 83.0 percent and 99.0 percent of
     decimated by EVD                                                                    surveyed households from epicentre communities
     The disease is unleashing havoc on the labour                                       indicated, respectively, lower agricultural produc-
     force. The economically active age group (15-49                                     tion and a decline in economic activities, includ-
     years), which provides the largest proportion of                                    ing agriculture, trade and transport. In the Guinea
     household incomes and family support, has been                                      Forest region, the drop in agricultural production
     heavily hit by EVD. For instance, in Sierra Leo-                                    is 30.0 to 75.0 percent depending on the various
     ne, 65.13 percent of the affected people were in                                    crops (rice, cassava, maize, palm oil, banana and
     this group and there is a similar trend in Guinea.                                  plantain). Moreover, around 50.00 percent of pota-
     Women are important drivers of economic activity                                    toes produced in Guinea are exported. The closure
     in West Africa. The outbreak in Guinea, as in oth-                                  of borders has denied farmers substantial incomes.
     er countries, affects more women (53.0 per cent)                                    This was further compounded by the glut in the
     than men (47.0 per cent). Women’s special role                                      market, which caused the price of potatoes to fall
     in the family as caregivers at home and in health                                   by approximately 33.0 percent. Vulnerability is
     centres for sick people explains their vulnerability                                more pronounced in export-oriented agricultural
     to EVD, which, however, varies across the regions.                                  products.
     For instance, 62.0 percent of the affected popula-
     tion in Guéckédou and 74.0 percent in Télémilé                                      Loan repayment is almost impossible –
     are women. In Middle Guinea, 70 percent of the                                      ­formal and informal loan schemes for women
     people involved in the potatoes value chains are                                     and local small business holders depleted
     women. And in Liberia, women comprise over                                           by EVD
     half of the agriculture labour force and about two                                  Women are more affected by EVD than men; the
     thirds of the trade and commerce labour force.2                                     impact on their livelihoods is more severe. They are
     Due to the strong contribution of women to eco-                                     using their business capital and savings as a strate-
     nomic activities in these countries, there is a pro-                                gy to coping with the hardship imposed by EVD,
     nounced negative impact of EVD on productivity,                                     which depletes their informal loans schemes.4 Evi-
     jobs and income generation.                                                         dence from the Central Bank of Liberia confirmed
                                                                                         that access to microfinance loans or grants has
     Income-generating opportunities                                                     proven daunting as result of EVD. For instance, the
     are being eliminated, particularly in                                               BRAC Microfinance Loan Disbursement, which
     export-oriented sectors                                                             rose from LRD90.24 million in the first quarter of
     The economies of these countries are decelerating.                                  2014 to LRD110.27 million in the second quarter,
     Compared to earlier projections, real econom-                                       was completely dried up in the third and fourth
     ic growth between January and September 2014                                        quarters. This was caused by deaths, morbidity and
     was estimated to fall by 2.1 percentage points in                                   the loss of livelihoods, which made loan repayment
     Guinea, 3.3 percentage points in Sierra Leone)ù                                     practically impossible. Evidence from Loan Exten-
     and 3.4 percentage points in Liberia. The recent                                    sion and Availability Facility’s (LEAF) repayment
     official adjustment in Sierra Leone was even more                                   provides some illumination on the shrinking re-
     precarious – a 6.3 percentage point decline. As                                     payment capacities of loan recipients; it fell from
     of September 2014, the Sierra Leonean economy                                       LRD11.19 million in the first quarter of 2014 to
     lost US$450.00 million. Agriculture, which con-                                     LRD4.89 million, LRD1.78 million and nil in the
     tributes around 57 percent to GDP, also declined                                    second, third and fourth quarters, respectively
     by 3.3 percentage points. Per capita income fell                                    (Figure 1). People’s livelihoods are further threat-
     by US$71.00 between January and October 2014.                                       ened by the abolition of loan disbursement to lo-
     Recent surveys reveal that around 97 percent of                                     cal business owners. In Lofa County, for instance,
     respondents surveyed indicated that their incomes                                   women have not been able to repay their debts
     from farming, petty trading and service delivery                                    since July due to the fall in incomes, the loss of jobs

34   Socio-economic impact ­of Ebola Virus Disease in Guinea, Liberia and Sierra Leone
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