Abstract
The paper analyzes the effect of remittances in attracting foreign direct investment (FDI) to Sub-Saharan Africa (SSA). We apply an unbalanced panel data set for 40 African countries for the period 1981–2013. The results indicate positive and significant impacts of remittances on net FDI inflows to SSA conditioned on the level of per capita GDP in the host country. Therefore, a threshold of per capita GDP is needed for a SSA country to benefit from the positive impact of remittances on net FDI inflows. In addition, host country demand positively affects net FDI inflows to Africa, which supports the market size hypothesis.
Paper submitted to the Sixth Annual Conference on Regional Integration in Africa (ACRIA 6), July 1–2, 2015, Lagos, Nigeria
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Notes
- 1.
The International Monetary Fund defines FDI as an investment that represents at least 10 % of voting stocks in an enterprise operating in a country other than that of the investor. In this study, FDI is net inflows of foreign direct investment as a share of host country GDP and represents at least 10 % of voting stock, and it is the sum of equity capital, reinvestment of earnings, and other long term and short term capital.
- 2.
Remittances are the sum of workers’ remittances, compensation of employees and migrants’ transfers received by individuals in the migrant home country.
- 3.
The 40 countries are listed beneath the descriptive statistics in Appendix 3.
- 4.
This will bode well for Africa since ODA is expected to eventually dwindle following the recent global economic recession.
- 5.
Please see Sect. 3 of the paper for a more comprehensive review of the literature.
- 6.
The top recipient of remittances is India. Countries in Latin America and the Caribbean receive about 25 % of all remittances, as do countries in the East Asia and Pacific region.
- 7.
Lucas and Stark (1985), identified pure altruism, pure self-interest, and tempered altruism (or enlightened self-interest) as the microeconomic determinants of remittances using evidence from Botswana.
- 8.
Moosa’s (2002) Chap. 2 provides a description of the theories of FDI.
- 9.
This implies that appreciation of the host country’s currency against the U.S. dollar is expected to negatively affect FDI inflows.
- 10.
The appropriate per capita GDP threshold is the log value of per capita GDP that makes the sum of remittances and the interaction term positive, or \( log\; human\; capital\ge \left(-\frac{\beta_{remittances}}{\beta_{interaction\; term}}\right) \). If both estimates are positive (negative), then remittances has an unambiguously positive (negative) effect on net FDI inflows.
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Appendices
Appendix 1
1.1 Derivation of the Econometric Model
The model assumes that the TNC decides first on whether or not to undertake FDI which requires a decision on the output level in the foreign country. Then, for the TNC undertaking FDI, total costs are defined as a function of costs of production in both the TNC’s home and foreign plants. So, total costs are given by:
where TC is total costs, \( {c}_h \) and \( {q}_h \) are unit costs and output level in the home plant, \( {c}_f \) and \( {q}_f \) are unit costs and output level in the foreign plant, subscripts h and f are for home and foreign.
The constraint for total cost minimization is given by total output demand (TD) as:
The associated Lagrangian function is defined as:
and the first order conditions for the cost minimization problem are given by:
where \( {c}_h^{\prime }=\partial {c}_h/\partial {q}_h \) and \( {c}_f^{\prime }=\partial {c}_f/\partial {q}_f \). Equations (9) and (10) are marginal costs in the home and foreign plants respectively.
By equating (9) and (10) and solving for home output (\( {q}_h\Big) \) and then substituting this result into Eq. (11), we obtain the equilibrium output at the foreign plant. Therefore, foreign production is given as:
where \( {\varnothing}_1={c}_h^{\prime }/\left({c}_h^{\prime }+{c}_f^{\prime}\right) \) and \( {\varnothing}_2=1/\left({c}_h^{\prime }+{c}_f^{\prime}\right) \) which are assumed to be positive, and \( RUC={c}_h-{c}_f \) which represents relative unit costs between home country and host country. Equation (12) shows that the foreign plant’s output is positively related to both total demand and relative unit costs.
Next, the TNC has to determine the level of inputs for producing in the foreign plant. A Cobb-Douglas production function is assumed to represent foreign production as follows:
Then, the costs associated with foreign production are given by:
where w and r are real wage and real user cost of capital respectively.
Assuming the foreign plant’s costs are minimized, the Lagrangian function is defined as:
The first order conditions for the cost minimization problem are given by:
Dividing Eq. (16) by Eq. (17) and then rearranging yields:
Taking \( {L}_f \) from Eq. (18) and substituting it into (19) yields \( {K}_f \) as:
Plugging Eq. (12) into Eq. (20) yields the final expression for the TNC’s desired capital stock (a capital stock level that solves the cost minimization problem) at the foreign plant as:
Appendix 2
1.1 Variable Definitions and Data Sources
Variable name | Variable definition | Source |
---|---|---|
FDI/GDP | Ratio of real net FDI inflows to real GDP | Own calculations |
Net FDI inflows | Net FDI inflows balance of payment values in current U.S. dollars | World Development Indicators online version, World Bank (2014) |
Real GDP | Host country real GDP at 2005 constant prices | Penn World Table Version 7.1, 2014 |
Real per capita GDP | Real per capita GDP at 2005 constant prices | Penn World Table Version 7.1, 2014 |
Remittances | Workers’ remittances and compensation of employees received in current U.S. dollars | World Development Indicators online version, World Bank (2014) |
Remittances/GDP* real per capita GDP | Interaction of the Ln of real remittances/real GDP and Ln of real per capita GDP | Own calculations |
Real exchange rate | Real exchange rate. Dollars per unit of foreign currency. It is defined as in Waldkirch (2003). It is computed by multiplying the nominal exchange rate by the ratio of the host country CPI to the U.S. CPI plus 0.001 | Own calculations |
Ln Imports/GDP | Natural log of the ratio imports to GDP | World Development Indicators online version, World Bank (2014) |
Ln inflation | Natural log of 1 plus the annual change of the GDP deflator | Own calculations from International Financial Statistics CD-ROM, IMF, 2014 |
Ln U.S. r-Ln Host Country r | U.S. real interest rate and host country real interest rate differential | Own calculations. Real interest rate data is from the World Development Indicators online version, World Bank (2014) |
Foreign capital stock | Host country foreign capital stock | UNCTAD, Division on Investment and Enterprise. http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx |
GDP deflator | GDP deflator | World Development Indicators online version, World Bank (2012) |
Nominal exchange rate | U.S. dollars per unit of host country currency | International Financial Statistics CD-ROM, IMF, 2014. |
CPI | Consumer price index | World Development Indicators online version, World Bank (2014) |
Appendix 3
1.1 Summary Statistics, Annual Values for the Period 1981–2013
Variable | N | Mean | Std. Dev. | Minimum | Maximum |
---|---|---|---|---|---|
FDI/GDP | 863 | 0.0347 | 0.0864 | −0.0859 | 1.6182 |
Ln per capita GDP | 863 | 6.6359 | 1.0990 | 4.7351 | 9.6075 |
Ln remittances/GDP | 863 | −4.6722 | 2.1461 | −14.7571 | 0.0628 |
Ln real exchange rate | 863 | −4.3062 | 2.3364 | −9.4712 | 3.6465 |
Ln imports/GDP | 860 | −0.9880 | 0.5549 | −3.5126 | 1.4465 |
Ln inflation | 863 | 0.1017 | 0.1318 | −0.3449 | 1.0348 |
Ln foreign capital stock/GDP | 863 | −2.0508 | 1.3018 | −8.1593 | 2.0712 |
Remittances/GDP | 863 | 0.0487 | 0.1241 | 0.0000 | 1.0648 |
The SSA countries included in the study are Angola, Burundi, Benin, Burkina Faso, Botswana, Central African Republic, Chad, Cote d’Ivoire, Cameroon, Comoros, Cape Verde, Ethiopia, Gabon, Ghana, Guinea, The Gambia, Guinea-Bissau, Equatorial Guinea, Kenya, Liberia, Lesotho, Madagascar, Mali, Mozambique, Mauritania, Mauritius, Malawi, Namibia, Niger, Nigeria, Rwanda, Sudan, Senegal, Sao Tome and Principe, Swaziland, Seychelles, Togo, Uganda, South Africa and Zambia.
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Amponsah, W.A., Garcia-Fuentes, P. (2017). Do Market Size and Remittances Explain Foreign Direct Investment Flows to Sub-Sahara Africa?. In: Seck, D. (eds) Investment and Competitiveness in Africa. Advances in African Economic, Social and Political Development. Springer, Cham. https://doi.org/10.1007/978-3-319-44787-2_5
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