The Effect of Sea Access on Economic Income Level in African Nations

Similar documents
Making a Mental Map of the Region

a division of Teacher Created Materials

Understanding riverine wetland-catchment processes using remote sensing data and modelling

Cambridge International Examinations Cambridge Ordinary Level

GINA Children. II Global Index for humanitarian Needs Assessment (GINA 2004) Sheet N V V VI VIII IX X XI XII XII HDR2003 HDR 2003 UNDP

Modeling the EU s Everything But Arms Initiative for the Least Developed Countries

INDEX REPORT MO IBRAHIM FOUNDATION

1. CLIMATIC AND ENVIRONMENTAL CONDITIONS OVER AFRICA. 1.1 Inter-Tropical Discontinuity (ITD)

PTV Africa City Map 2017 (Standardmap)

INFLATION AND SEIGNIORAGE STUDIES IN AFRICA. A Thesis presented to the Faculty of the Graduate School at the University of Missouri-Columbia

PTV Africa City Map (Standardmap)

SHaSA. Strategy for the Harmonization of Statistics in Africa

North-South Gap Mapping Assignment Country Classification / Statistical Analysis

Supplementary Appendix for. Version: February 3, 2014

AS (GEOGRAPHY 1.4)

African requirements for SDI standardization Antony Cooper Operating Unit Fellow Built Environment CSIR PO Box 395, Pretoria, 0001, South Africa

Institutions and the Economic Development of Africa. Colnot Louis, Patel Arpit, Strang Stephen. Georgia Institute of Technology

Developing Spatial Data Infrastructure (SDI) in Africa: A cooperative Geospatial information Management process

The Heterogeneous Effects of Transportation Infrastructure: Evidence from Sub-Sahara Africa

Situation on the death penalty in the world. UNGA Vote 2012 Resolutio n 67/176. UNGA Vote 2010 Resolutio n 65/206. UNGA Vote 2008 Resolutio n 63/168

Appendix - Legal Origins and Female HIV

Natural Resource Management Indicators for the Least Developed Countries

Tables of Results 21

Appendices. Please note that Internet resources are of a time-sensitive nature and URL addresses may often change or be deleted.

THE ROLE OF SEAMIC IN SUSTAINABLE MINERAL RESOURCES DEVELOPMENT IN AFRICA

A MULTIDIMENSIONAL SCALING APPROACH TO HUMAN DEVELOPMENT CLASSIFICATION OF AFRICAN COUNTRIES.

GIS AS A TOOL FOR DEVELOPMENT: ITS SPECIAL NATURE AND CHARACTERISTICS

PROPOSED BUDGET FOR THE PROGRAMME OF WORK OF THE CONVENTION ON BIOLOGICAL DIVERSITY FOR THE BIENNIUM Corrigendum

TRADE REGIONALISATION AND OPENNESS IN AFRICA

Most Recent Periodic Report Initial State Report. Next Periodic Accession/Ratification. Report Publication Publication. Report Due

Countries in Order of Increasing Per Capita Income, 2000

COUHCIL. tlnited NATIONS. and SOCIAL E/CN.U/CAP.3/12 LI7O-693. Addis Ababa, 20 to 29 May April Original: ENGLISH. Distr.

Export Destinations and Input Prices. Appendix A

Mexico, Central America and the Caribbean South America

Climate variability and international migration: an empirical analysis

Patent Cooperation Treaty (PCT) Working Group

The Development of Trade Transit Corridors in Africa s Landlocked Countries

The FAO Africover Project and a Possibility of a Unified Geodetic Datum for Africa (UGDA)

Discovering the World of Geography

ATPC ATPC. No. 10. African Trade Policy Centre. Briefing. I. Introduction. The Development of Trade Transit Corridors in Africa s Landlocked Countries

Does socio-economic indicator influent ICT variable? II. Method of data collection, Objective and data gathered

Solow model: Convergence

Infrastructure and Growth in Africa

The Chemical Weapons Convention, Biological and Toxin Weapons Convention, Geneva Protocol

Programme budget for the biennium Programme budget for the biennium

Spatial Correlation of Tuberculosis (TB) Incidents to the MODIS LST Biophysical Signature of African Countries

Mapping African buffalo distributions, in relation to livestock disease risk

Chapter 8 - Appendixes

Nigerian Capital Importation QUARTER THREE 2016

Linking Global and Regional Levels in the Management of Marine Areas Beyond National Jurisdiction

COMMITTEE ON FISHERIES

Reconciling conflicting evidence on the origins of comparative development: A finite mixture model approach

AFFORDABLE INTERNET ACCESS: THE COST CHALLENGE

Immigrant Status and Period of Immigration Newfoundland and Labrador 2001 Census

SECOND GENERATION SEASONAL CLIMATE OUTLOOK PROGRAMME

SUGAR YEAR BOOK INTERNATIONAL SUGAR ORGANIZATION 1 CANADA SQUARE, CANARY WHARF, LONDON, E14 5AA.

Step-by-step: Data Harmonisation Process

Overview of past procurement of Solar Direct Drive (SDD) refrigeration systems and UNICEF SD support in Cold Chain

COMPARISON OF THE HUMAN DEVELOPMENT BETWEEN OIC COUNTRIES AND THE OTHER COUNTRIES OF THE WORLD

Erratum to: Policies against human trafficking: the role of religion and political institutions

COUNCIL. Hundred and Fifty-eighth Session. Rome, 4-8 December Status of Current Assessments and Arrears as at 27 November 2017

Delegations School GA Opening Speech 1 SPC Opening Speech 2 SC Total Amnesty International Agora Sant Cugat Botswana Agora Sant Cugat 1 Y 1 Y

November 2014 CL 150/LIM 2 COUNCIL. Hundred and Fiftieth Session. Rome, 1-5 December 2014

Velocity Virtual Rate Card 2018

Lesson Plans. Geography. Grade 9. Mrs. Newgard. Monday, February 22

EMPHASIZING THE NEED FOR THE DEVELOPMENT OF HIGH-QUALITY HISTORICAL CLIMATE DATASETS

trade liberalisation 1. Introduction CREATE TRADE FOR SOUTH AFRICA?

Predicting the effect of interventions using invariance principles for nonlinear models

GSAf was founded in 1973 at the Haile Sellassie 1 st University in Addis Ababa, Ethiopia GSAf has the following objectives: To promote the

Hundred and Fifty-sixth Session. Rome, 3-7 November Status of Current Assessments and Arrears as at 30 June 2014

Available online at ScienceDirect. Procedia Economics and Finance 39 ( 2016 )

Government Size and Economic Growth: A new Framework and Some Evidence from Cross-Section and Time-Series Data

Report by the Secretariat

Statement. H.E Dr. Richard Nduhuura Permanent Representative of the Republic of Uganda to the United Nations New York

PROPOSED BUDGET FOR THE PROGRAMME OF WORK OF THE CARTAGENA PROTOCOL ON BIOSAFETY FOR THE BIENNIUM Corrigendum

COUNCIL. Hundred and Fifty-fifth Session. Rome, 5-9 December Status of Current Assessments and Arrears as at 29 November 2016.

Research Exercise 1: Instructions

International legal instruments related to the prevention and suppression of international terrorism

Dimensionality Reduction and Visualization

African Coastal Atlas developments. 10 July 2008 EEA Copenhagen, Denmark

Africa, Asia and the Pacific, Latin America and the Caribbean. Africa, Asia and the Pacific, Latin America and the Caribbean

GEF Corporate Scorecard. May 2018

TRANSPORTATION NETWORKS IN THE OIC MEMBER COUNTRIES

AFRICAN 54 STATE LAW OF THE SEA SUMMARY

Africa RiskView MONTHLY BULLETIN JANUARY Highlights: Rainfall

INTERNATIONAL TELECOMMUNICATION UNION SERIES T: TERMINALS FOR TELEMATIC SERVICES

1. Impacts of Natural Disasters by Region, 2008

ia PU BLi s g C o M Pa K T Wa i n CD-1576

Chapter 9: Looking Beyond Poverty: The Development Continuum

World Geography to ALL Students book (teacher book).

Fertility and population policy

The Challenges Facing Landlocked Developing Countries

Travel and Diabetes Survey

Climate Security Vulnerability in Africa. Joshua W. Busby Assistant Professor, LBJ School of Public Affairs University of Texas - Austin

The Impact of ROO on Africa s Textiles and. Clothing Trade under AGOA ***

13 th EUMETSAT User Forum in Africa

relationships between physical environments an society o Objective: Connect issues going on in East Africa with the United States Bell Ringer

Workshop on Understanding and Evaluating Radioanalytical Measurement Uncertainty November 2007

REPORT ON ACTIVITIES UNDERTAKEN SINCE THE 25TH SESSION OF THE INTERNATIONAL COORDINATING COUNCIL OF THE MAN & THE BIOSPHERE PROGRAMME

IGAD Climate Prediction and Applications Centre Monthly Bulletin, August 2014

Transcription:

University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Nebraska Anthropologist Anthropology, Department of 2011 The Effect of Sea Access on Economic Income Level in African Nations Tiffany Napier University of Nebraska-Lincoln Follow this and additional works at: http://digitalcommons.unl.edu/nebanthro Napier, Tiffany, "The Effect of Sea Access on Economic Income Level in African Nations" (2011). Nebraska Anthropologist. 163. http://digitalcommons.unl.edu/nebanthro/163 This Article is brought to you for free and open access by the Anthropology, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Nebraska Anthropologist by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln.

The Effect of Sea Access on Economic Income Level in African Nations Tiffany Napier Abstract: A sea border provides trading opportunities for nations and enables participation in the world market and therefore economic growth. In this essay sea access is considered a significant limiting factor in the economic success of African countries. Research of this hypothesis illustrates a positive relationship between access to the sea and the economic success of African nations when Gross National Income per capita is utilized as the economic indicator. This essay summarizes the methods utilized, results obtained, and the implications of sea access as a limiting factor in the economic success of African states. Introduction Africa has long been considered the "Dark Continent." Its countries are "developing," unable to break into world trade and the world market, surpassed economically by the countries of Asia and Latin America. However, African nations face challenges that differ from those of other continents. Rigid borders created by colonial rulers split ethnic groups and created conflict within the new states. After the independence of nations from colonialism, "African rulers developed a system of norms under the Organization of African Unity auspices that declared all inherited colonial borders legitimate" (Thies 2009:470) resulting in the creation of more than fifty African nations. These countries have all faced considerable challenges in resolving ethnic rivalries, establishing secure governments, treating deadly diseases, and achieving economic success. This paper focuses on the economic status of African nations based on their continental location; sea access in particular is analyzed to investigate its effect on the economy and income level of a country. The economic success of a nation with sea access, measured using Gross Domestic Product (GDP) and Gross National Income (GNI) per capita, is predicted to exceed that of a landlocked state. 64 From: Nebraska Anthropologist, Volume 26: 2011. Copyright 2011 University of Nebraska-Lincoln's AnthroGroup.

Methods In order to examine the effects of sea access, each African nation was sorted into two different categories, Sea Access or Landlocked, based on direct access to the sea (Table 1). All countries that had a border adjacent to the Mediterranean Sea, Red Sea, Atlantic Ocean, or Indian Ocean were considered to have sea access and were placed into the Sea Access category (n=37). Nations without a sea border were placed into the Landlocked category (n=15). Table 1: African Nations Categorized by Sea Access. Sea Access *1. Algeria 2. Angola 3. Benin 4. Cameroon 5. Cape Verdeo 6. Republic of Congo 7. Cote d'ivoire 8.Democratic Republic of Congo 9. Djibouti 10. Egypt 11. Equatorial Guinea 12. Eritrea 13. Gabon 14. The Gambia 15. Ghana 16. Guinea 17. Guinea-Bissau 18. Kenya 19. Liberia 65.. Landlocked 38. Botswana 39. Burkina Faso 40. Burundi 41.Central African Republic 42. Chad 43. Ethiopia 44. Lesotho 45. Malawi 46. Mali 47. Niger 48. Rwanda 49. Swaziland 50. Uganda 51. Zambia 52. Zimbabwe

20. Libya 21. Madagascar 22. Mauritania 23. MauritiusO 24. Morocco 25. Mozambique 26. Namibia 27. Nigeria 28. Sao Tome and Principeo 29. Senegal 30. Seychelleso 31. Sierra Leone 32. Somalia 33. South Africa 34. Sudan 35. Tanzania 36. Togo 37. Tunisia *Numbers correspond to location within Figure 1. Designates countries not located in Figure 1. The economies of each country were analyzed using Gross Domestic Product (GDP), GDP major sector contributor, and Gross National Income (GNI) per capita (Appendix A). According to The World Bank Group, "GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsides not included in the value ofthe products" (The World Bank Group 2011). GDP is measured in billions of current United States Dollars (US$). Economies are divided into three sectors: Primary, Secondary and Tertiary. The Primary sector is composed of raw materials, including agriculture. Manufacturing and industry form the Secondary sector, and services, or intangible goods that require "interaction with the customer" 66

(Jacobs and Chase 2011 :9), constitute the Tertiary sector. In this analysis Agriculture, Industry, and Services are used to define GDP major sector contributor (Appendix A). Ten nations utilize Agriculture as the primary contributor to GDP, of those three are Landlocked and seven are Sea Access. Eight countries employ Industry as GDP major sector contributor; all have access to the sea. Services comprise the GDP major sector of thirty-four nations, twelve of which are Landlocked and twenty-two are Sea Access. GNI is "the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad," and is measured in current US$ (The World Bank Group 2011). GNI per capita, as compiled by The World Bank Atlas method, provides a more accurate representation of a nation's wealth than GDP because it represents a nation's GNI divided by its midyear population, and therefore is a measure of the distribution of wealth evenly among the entire population (The World Bank Group 2011). The World Bank Group assigns national economies to income levels according to 2009 GNI per capita. These rankings are Low Income (GNI per capita is current US$995 or less), Lower Middle Income (GNI per capita is current US$996-$3,945), Upper Middle Income (GNI per capita is current US$3,946-$12,195), and High Income (GNI per capita is current US$12,196 or above) (World Bank Group 2011). Seventeen of the thirty-seven countries with Sea Access are considered Low Income, thirteen are placed into Lower Middle Income, six are in the Upper Middle Income field, and one has a High Income level. In the Landlocked category, twelve countries have a Low Income level, two have a Lower Middle Income, and one is considered Upper Middle Income (Figure 1, Appendix A). Figure 1 locates all countries with a Lower Middle Income level, apart from Lesotho and Swaziland, along a coastline. Nations with an Upper Middle Income level, excluding Botswana, are located adjacent to the sea. Furthermore, Equatorial Guinea, the only African nation with a High Income, benefits from sea access. 67

Lowin«)me Low«Middle In<omc Upper Middle Ineeme HiSh!D""m~ Unknown Figure 1: Income Level Based on GNI per capita (World Bank Group 2011). *Numbers refer to specific countries (Table 1). 68

Sea Access and Landlocked data comprised of GDP, GDP major sector contributor, and GNI per capita were tested for normality using the Kolmogorov-Smimov Test. The Mann-Whitney U Test, a non-parametric statistic, was used to test for differences in GDP and GNI per capita of all African nations with and without access to the sea. To evaluate economic influences on a finer level, GDP and GNI per capita of African nations with and without sea access were assessed by GDP major sector contributor when the data permitted such comparisons. For all experiments q was maintained at.05. Results Descriptive statistics are provided in Table 2. GDP major sector contributor is used to examine economic differences between Sea Access and Landlocked countries. As a whole the Sea Access category has higher mean and median values of GDP and GNI per capita than Landlocked countries. On a fmer level however, Landlocked nations that utilize Agriculture as their GDP major sector contributor have higher economic indicator values in every category except GNI per capita standard deviation when compared to Agricultural Sea Access countries. Industry as GDP major sector contributor could not be compared between Sea Access and Landlocked nations. In terms of Services as GDP major sector contributor, Sea Access countries have higher values for every economic indicator when compared to Service Landlocked nations. 69

GDP Standard Deviation $7.846 $49.520 $75.060 $60.522 $3.580 -- $7.842 $8.750 $54.835 (billions) GNI per capita Standard $165.00 $4,731.37 $2,299.12 $3,497.83 $115.90 -- $1,731.60 $1,615.92 $2,904.73 Deviation *Economic Indicator Table 2: GDP Major Sector Contributor Descriptive Statistics Sea Access Landlocked Total Combined Agriculture Industry Services Total Agriculture Industry Services Total Total Sample GDP Mean (billions) $5.660 $39.580 $44.810 $31.120 $5.950 -- $8.500 $9.800 $28.1 \0 GDP Median $1.940 $\0.740 $11.310 $9.790 $6.840 -- $5.220 $6.838 $9.020 (billions) GNI per capita Mean GNI per capita Median $322.86 $5,423.75 $2,260.45 $2,574.54 $556.67 -- $1,130.83 $1,016.67 $2,127.31 $340.00 $4,085.00 $1,190.00 $1,020.00 $540.00 -- $460.00 $420.00 $965.00 *Current US$ No data available

The distributions of GDP and GNI per capita deviate significantly from normal (p <.001) (Figures 2 and 3). Additionally, the Landlocked data set produced two outliers in the examination of the relationship between GNI per capita and sea access, as well as one Landlocked and two Sea Access outliers in the analysis of sea access as a factor in GNI per capita by GDP major sector indicator (Figures 2 and 4). These fmdings support the use of the Mann-Whitney U Test, which is resistant to outliers and distributions that deviate from normal. The results of the Mann-Whitney U Test suggest that GDP does not differ significantly between countries that have sea access and those that are landlocked (p =.280). However, nations with access to the sea have significantly higher GNI per capita than do nations without sea access (p =.032) (Figures 2 and 3). There were no significant differences in income level between Sea Access and Landlocked countries. Furthermore, no significant differences in GDP or GNI per capita were found between Sea Access and Landlocked countries whose GDP major sector contributor is Agriculture. Landlocked nations in this sample did not utilize Industry as their GDP major sector contributor, preventing any tests with Sea Access nations. However, when comparing Sea Access to Landlocked, GNI per capita is significantly higher among countries that utilize Services as GDP major sector contributor (p =.001) (Figure 4). Discussion There were no significant differences in income level or GDP between Sea Access and Landlocked nations. However the results of the Mann-Whitney U Tests support the hypothesis of a positive relationship between access to the sea and a successful economy as measured by GNI per capita. Direct access to the sea facilitates trade with the global market, which in turn enables an economy to prosper and benefit its national population.

12000-0 0 V> 1J) ;;J 10000-7: 8000 ~ ~.i. 6000.. U... ~ 4000 (5 2000 - - - - o - * ~- * *! :' --I...- I Sea Access I Yes Figure 2: Boxplots of GNI per capita for countries with and without Sea Access. * Significantly higher (P <.05) or exact p value. Independent-Samples Mann-Whitney U Test No Sea Access 15.000 15,000 C N=15 ~ Mean Rank = 19.37 ::J.!!. 10.000 10,000 ~ih ~!!l 5,000,000........ :2 0 l' 250 20.0 15,0 10,0 5.0 0,0 5.0 10,0 15,0 20,0 25,0 Frequency Yes Frequency Figure 3: Frequencies GNI per capita (current US$) in Countries with and without Sea Access. 72

No Sea Accc s Yes == ~ = ~ i.. u.. a.. '" Z \.:) 0 0 * Agriculture Industry Services Agriculture Industry Services GDI' Major Sector Contributor Figure 4: * Boxplots of GNI per capita by GDP Major Sector Contributor nested in Sea Access. Significantly higher (P <.05) or exact p value. Figure 1 illustrates the differential success of Sea Access countries relative to their respective adjacent body of water. All countries that border the Mediterranean Sea have an income level of Lower or Upper Middle Income, which may be a reflection of proxiinity to trading partners in the High Income nations of Western Europe. In addition, all nations that border the South Atlantic Ocean below the Gulf of Guinea, excluding the Democratic Republic of Congo, have income levels above that of Low Income. Conversely, all nations west of the Gulf of Guinea, except for Nigeria and Senegal, have Low Income levels. The geographical location of nations along the Mediterranean Sean and along the Atlantic Ocean south of the Gulf of Guinea is rich in natural resources, including oil and minerals, which are valuable and in high demand on the world market. The differential economic success of Sea Access countries may be the result of abundance in high-demand natural resources and proximity to trading partners, however 73

harbor access and the strength of sea currents near ports could also have an effect. These elements may also be a factor in the Low Income level of nations bordering the Indian Ocean. Agricultural economies are less wealthy than Industrial and Service economies in every measure of GDP and GNI among Sea Access nations (Table 2). The same trend occurs in the Landlocked category, with the exceptions of GDP median and GNI median. Furthermore all nations that utilize Agriculture as GDP major sector contributor have Low Income levels. The African climate is not sufficient to support agriculture as the primary economic contributor. Therefore, economic growth should be oriented toward industry and services in order to raise economic income level (Bloom et al. 1998). Both Industry and Service nations generally have higher economic indicators when compared to Agricultural nations (Table 2, Figure 4). Growth in both industrial and service sectors would benefit African nations "as an outlet for new exports" (Bloom et al. 1998:267) and provide a means to address geographical handicaps. Among Sea Access countries, Industrial nations are wealthier than Service economies in terms of mean and median GNI per capita, but Service nations fare better according to mean and median GDP. Although Sea Access countries that utilize Services as GDP major contributor have higher GDPs, according to the data in Table 2, citizens of Industrial Sea Access nations benefit more from their economy. The economic indicator disparities between Industrial and Service nations may be the result of national population or more complex variables such as governmental organization or availability of natural resources and should be examined with further study. Sea access alone does not account for the economic disparity among African nations as indicated by the frequency of African nations that are considered Low Income (Figure 3). In order to understand the disparity between economic statuses of African nations, future analyses should take into consideration form of government, political unrest, foreign intervention and aid, ethnic tensions, the effects of colonialism, life expectancy, population, and myriad other factors. Conclusion As illustrated in the data provided, statistical results support the hypothesis of increased economic success in Sea Access countries as compared to Landlocked nations within Africa in terms of GNI per capita. Therefore it can be interpreted that access to the sea is a limiting factor in the economic success of a country; however, the success of Sea Access countries 74

is dependent upon their location relative to the continent of Africa. Countries that border the Mediterranean Sea and the South Atlantic Ocean below the Gulf of Guinea are more successful economically than countries bordering the Indian Ocean or the North Atlantic Ocean west of the Gulf of Guinea (Figure 1). Those nations without sea access have an international right to seaports, but face high cost of land transportation and are subject to monopolistic prices and the transport systems of neighboring countries (Dale 1968; Srinivasan 1986). These factors are barriers to foreign trade for countries without direct sea access. However, landlocked nations are not at a significant disadvantage if they have sufficiently valuable resources and the means to extract them (Collier 2007). As a result, a country that is rich in resources will be successful regardless of its location. For example, Botswana, an Industrial Landlocked nation, capitalizes on its natural abundance of diamonds, which is reflected in its elevated income level ranking of Upper Middle Income (Figure 1, Appendix A). Nevertheless, nations that are poor in resources and are landlocked face considerable economic difficulties while those along the coast, if lacking in natural resources, have a geographic advantage to trade that provides a means to overcome a natural resource deficiency (Collier 2007). It is crucial for landlocked nations to overcome their geographic disabilities through the development of adequate infrastructure, both within their own borders and in neighboring states, in order to engage in global trade and grow economically (Dale 1968; Hausmann 2001). In addition to limitations based on water access and transportation infrastructure, trade is also affected by technological progress, domestic policies, communications, distributions, and geography (Subramanian and Tamirisa 2003). Countries with fortunate geography in the form of sea access and natural harbors must use these opportunities to grow economically. This success will then overflow to neighboring countries that lack advantageous geography. Countries without sea access must integrate and "orient their economies toward their... neighbors" (Collier 2007: 11) in order to overcome geographical handicaps and become economically successful. Sea access and the major sector contributor to Gross Domestic Product (Agriculture, Industry, Services) are important factors that determine the success of a country economically. As a result of national borders created during colonialism and still in place today, there are African nations at a geographic disadvantage to their neighbors. In order for these countries to succeed, they must orient their economies to industrial and service sectors, as well as invest in and maintain transnational and continental land 75

transportation. In addition, these countries must integrate and work together to create economic success that will overflow to neighboring nations. Sea access provides an opportunity for those nations with a coastline to become successful. These countries must collaborate with their landlocked neighbors to overcome geographical barriers and borders in order to raise income levels and thus allow the entire continent of Africa to become effective in the global market. Acknowledgments I would like to thank Dr. Shime1is Beyene for his aid in the original compositions of this essay. Furthermore, my deepest gratitude and appreciation to Dr. Daniel Osborne for his major contribution on the statistical analyses used in this essay. Appendix A: Raw Data Table ~GNIper capita (current USS) Angola $75.492 Lower Middle Income Industry $3,750 Yes Benin $6.655 Low Income Services $750 Yes Botswana $11.822 Upper Middle Income Services $6,260 No Burkina Paso $8.140 Low Income Services $510 No Burundi $1.325 Low Income Services $150 No Cameroon $22.185 Lower Middle Income Services $1,190 Yes Cape Verde $1.549 Lower Middle Income Services $3,010 Yes Central African $2.005 Low Income Republic Agriculture $450 No Chad $6.838 Low Income Agriculture $540 No 76

Congo, Dem. Rep. $10.575 Low Income Agriculture $160 Yes Congo, Rep. $9.579 Lower Middle Income Industry $2,080 Yes Cote d'ivoire $23.304 Low Income Services $1,070 Yes Djibouti $1.049 Lower Middle Income Services $1,280 Yes Egypt $188.412 Lower Middle Income Services $2,070 Yes Equatorial Guinea $10.412 High Income Industry $12,420 Yes Eritrea $1.873 Low Income Services $270 Yes Ethiopia $28.526 Low Income Services $330 No Gabon $11.062 Upper Middle Income Industry $7,370 Yes Gambia, The $0.733 Low Income Services $440 Yes Ghana $16.123 Low Income Services $1,190 Yes Guinea $4.103 Low Income Industry $370 Yes Guinea-Bissau $0.836 Low Income Agriculture $510 Yes Kenya $29.375 Low Income Services $760 Yes Lesotho $1.578 Lower Middle Income Services $980 No Liberia $0.876 Low Income Agriculture $160 Yes Libya $62.360 Upper Middle Income Industry $12,020 Yes Madagascar $9.051 Low Income Services $420 Yes Malawi $4.974 Low Income Services $280 No Mali $8.996 Low Income Agriculture $680 No Mauritania $3.030 Low Income Industry $960 Yes Mauritius $8.588 Upper Middle Income Services $7,250 Yes Morocco $91.374 Lower Middle Income Services $2,770 Yes Mozambique $9.790 Low Income Services $440 Yes 77

Namibia $9.264 Upper Middle Income Services $4,270 Yes Niger $5.384 Low Income Services $340 No Nigeria $173.003 Lower Middle Income Services $1,190 Yes Rwanda $5.063 Low Income Services $460 No Sao Tome and $0.192 Lower Middle Income Principe Services $1,140 Yes Senegal $12.821 Lower Middle Income Services $1,040 Yes Seychelles $0.764 Upper Middle Income Services $8,480 Yes Sierra Leone $1.941 Low Income Agriculture $340 Yes Somalia $0.917 Low Income Agriculture $150 Yes South Africa $285.365 Upper Middle Income Services $5,760 Yes Sudan $54.680 Lower Middle Income Services $1,220 Yes Swaziland $3.000 Lower Middle Income Services $2,470 No Tanzania $21.623 Low Income Agriculture $500 Yes Togo $2.854 Low Income Agriculture $440 Yes Tunisia $39.560 Lower Middle Income Services $3,720 Yes Uganda $16.042 Low Income Services $460 No Zambia $12.747 Low Income Services $970 No Zimbabwe $3.418 Low Income Services $360 No * Data obtained from The World Bank Group "Data obtained from Central Intelligence Agency 78

References Cited Central Intelligence Agency 2011 The World Factbook. Electronic document, https://www.cia.gov/library/publicationslthe-worldfactbooklindex.html, accessed March 22, 2011. Bloom, David E., Jeffrey D. Sachs, Paul Collier, and Christopher Udry 1998 Geography, Demography, and Economic Growth in Africa. Brookings Papers on Economic Activity 1998(2):207-245. Collier, Paul 2007 Africa's Economic Growth: Opportunities and Constraints. African Development Review 19:6-25. Dale, Edmund H. 1968 Some Geographical Aspects of African Land-locked States. Annals of the Association of American Geographers 58:485-505. Hausmann, Ricardo 2001 Prisoners of Geography. Foreign Policy 122:44-55. Jacobs, F. Robert and Richard B. Chase 2011 Operations and Supply Chain Management. 13 th ed. McGraw Hill/Irwin, New York. Srinivasan, T.N. 1986 The Costs and Benefits of Being a Small, Remote, Island, Landlocked, or Ministate Economy. The World Bank Research Observer 1 :205-218. Subramanian, Arvind and Natalia T. Tamirisa 2003 Is Africa Integrated in the Global Economy? IMF Staff Papers. 50:352-372. Thies, Cameron G. 2009 Conflict, Geography, and Natural Resources: The Political Economy of State Predation in Africa. Polity 41 :465-488. The World Bank Group 2011 Key Development Data & Statistics. Electronic document, http://www.worldbank.org, accessed March 22,2011. 79