Research Article |
Corresponding author: Gabila Nubong ( gabila.nubong@nwu.ac.za ) Academic editor: Marina Sheresheva
© 2024 Gabila Nubong.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Nubong G (2024) Institutions as a determinant of foreign direct investment inflows into the Southern African Development Community. BRICS Journal of Economics 5(4): 121-138. https://doi.org/10.3897/brics-econ.5.e125507
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Foreign Direct Investment (FDI) in Southern Africa has been one of the drivers of infrastructure development and economic growth, especially in mining, agriculture, energy, information, and communications technology (ICT). Some of the SADC countries have undertaken serious economic and institutional reforms to encourage the inflow of FDI, particularly to low-income countries of the region, but these efforts have not so far led to the expected increases in investment: the overall amount of FDI remains low, it is concentrated in very few countries and mostly goes to the extraction of natural resources.
Institutions and infrastructure development typically have a positive effect on FDI inflows as they improve investment climate. To examine their role in boosting the FDI flows to the SADC countries, the paper uses panel data econometric analysis with OLS and PCSE. Its results show that the quality of governance, together with the level of economic development, market size, and openness to international trade are the main factors that determine the amounts of FDI flowing into the SADC countries. For some areas, however, the primary need is to combat the rampant corruption and reduce political instability.
Прямые иностранные инвестиции (ПИИ) на юге Африки являются одним из факторов развития инфраструктуры и экономического роста, особенно в горнодобывающей промышленности, сельском хозяйстве, энергетике, информационных и коммуникационных технологиях (ИКТ). Некоторые страны САДК провели серьезные экономические и институциональные реформы, чтобы стимулировать приток ПИИ, особенно в страны региона с низким уровнем дохода, однако эти усилия пока не привели к ожидаемому росту инвестиций: общий объем ПИИ остается низким, они сосредоточены в очень немногих странах и в основном направляются на добычу природных ресурсов.
Развитие институтов и инфраструктуры, как правило, положительно влияет на приток ПИИ, поскольку улучшает инвестиционный климат. Для изучения их роли в увеличении притока ПИИ в страны САДК в статье используется эконометрический анализ панельных данных с использованием OLS и PCSE. Результаты показывают, что качество управления, а также уровень экономического развития, размер рынка и открытость для международной торговли являются основными факторами, определяющими объемы ПИИ, поступающие в страны САДК. Однако для некоторых регионов первоочередной задачей является борьба с коррупцией и снижение политической нестабильности.
SADC countries, boosting FDI, institutions, infrastructure development.
Страны САДК, стимулирование ПИИ, институты, развитие инфраструктуры.
Economic and institutional reforms undertaken by some of the Southern Africa Development Community (SADC) countries to encourage the inflow of Foreign Direct Investment (FDI) have not so far produced any significant effects. FDI into the SADC member states remains low and concentrated only in very few countries and sectors, unlike in European or Asian regional associations of countries. In a developing region, FDI may become crucial because it can serve as a conduit for capital and technology transfer from one economy to another. Such spillovers “constitute the major contribution of FDI to long-term development due to their contribution to improvements in total factor productivity and their potential to boost capital accumulation, employment and foreign exchange earnings they promote” (
The global economic downturn that began in 2008 affected the SADC region so badly that between 2009 and 2010 the total FDI in the region fell by almost 50%. Another problem is that FDI into SADC still largely flow to the resources sector, with countries like Angola, South Africa and recently Mozambique leading the way in attracting FDI to their extraction companies. The SA Development Community therefore needs to increase its global share of direct investment inflows, at the same time creating conditions for the FDI to flow to the sectors that would enable the countries of the region to participate in some of the global manufacturing production value chains and thus diversify away from natural resources dependency.
The present paper contributes to this debate by examining the role of governance institutions in the promotion of FDI inflows into the SADC region. Governance institutions, both economic and political, typically have a positive effect on FDI inflows through their impact on the investment climate and business environment of the recipient regions (
As many Member States of the Southern African Development Community strive to develop their economies, they rely on investment from other nations to help achieve their long-term economic goals. This is because historically, Foreign Direct Investment in Southern Africa has been one of the drivers of infrastructure development and economic growth, especially in the industries related to mining, agriculture, energy, information and communications technology (ICT) (
Recognising the importance of FDI, the SADC countries have adopted a number of policies and protocols aimed at attracting FDI into the region, such as Finance and Investment Protocol of 2006 which has become a guiding financial policy for SADC. This Protocol on Finance and Investment highlights the importance of Foreign Direct Investment in Article 3 of Annex 1 by encouraging Member States of SADC to promote entrepreneurship in industries that attract Foreign Direct Investment. Similarly, Article 4 of Annex 3 directs Member States to collaboratively develop a framework for Tax Incentives that will draw foreign direct investment into the region.
Prior to this regional prioritization of policies to attract FDI in the Finance Protocol, the region had experienced significant improvements in annual inflows of FDI from only $660 million in 1985–95 to about $5.9 billion in 2000–04. Although South Africa and Angola have historically been the top FDI destinations in the region, new champions like Mozambique emerged in the last two decades because of the discovery of natural gas; in 2010 the Democratic Republic of Congo (DRC) increased its net foreign direct investment inflow to almost US $3 billion. Seychelles has also boosted its foreign direct investment as a percentage of gross domestic product significantly, approaching 40%. Between 2017 and 2018 seven countries of the region experienced a decline in FDI; these were Angola, Lesotho, Madagascar, Mauritius, Namibia, São Tomé & Príncipe and Zambia. In 2018, FDI more than doubled in South Africa and Zimbabwe. In Zimbabwe, however, the rising FDI flows of 2018 went to very few projects and the low base effect was also at work. In the next year, 2019, the FDI inflows into the country fell to USD259 million and the downward trend is likely to continue owing to the lingering impact of the COVID-19 pandemic on global economic growth. (AFDB, 2020:25). See Table
2010–2016 | 2017 | 2018(e) | |
South Africa | 4,353 | 2,007 | 5,334 |
Mozambique | 4,353 | 2,293 | 2,711 |
Zimbabwe | 384 | 349 | 745 |
Zambia | 1,447 | 1,108 | 569 |
Mauritius | 399 | 443 | 372 |
Madagascar | 583 | 389 | 349 |
Botswana | 249 | 177 | 229 |
Namibia | 666 | 461 | 196 |
Malawi | 189 | 90 | 102 |
Lesotho | 66 | 43 | 39 |
Eswatini | 62 | -56 | 25 |
Sao Tome & Principe | 28 | 41 | 17 |
Angola | –190 | –7,397 | –5,732 |
The SADC countries had struggled to attract inward FDI both from inside the region and globally (See Figure
UNCTAD’s 2006 World Investment Report (WIR) provides a conceptual framework within which FDI can be viewed. It argues that the basic rationale for FDI by firms in a global market economy is to increase or protect their profitability and/or capital value. Multinational Corporations (MNCs) engage in FDI either to gain new competitive advantages or to better exploit and safeguard the existing ones. Firms may be in a position to respond directly to the pressures or opportunities to internationalize by using their competitive advantages, some of which may be firm- or ownership-specific. The latter is necessary if internationalization is to take place through FDI and international production within a MNC system. The advantages can include assets possessed by a firm, e.g. patents, a recognized brand and production process capabilities, or more efficient organization of the corporate assets across a geographical space. In both cases, this type of MNC strategy is referred to as “asset exploiting”, and its choice of the host country can be determined by the need to seek out new markets, raise efficiency by cost cutting, or source better quality or cheaper factor inputs, such as skilled labour, raw materials or good quality infrastructure (
The earlier theories of FDI mostly focused on explaining the behaviour of multinational companies, focusing on why and how they come to the decision to engage in FDI. For example,
i. Natural resource-seeking FDI driven by the availability of natural resources in the destination country, usually in order to export;
ii. Market-seeking FDI with investors willing to sell to local or regional markets, often motivated by tariff regimes in destination countries;
iii. Efficiency-seeking FDI driven by competitive advantages in the destination country, such as labour costs, quality infrastructure, innovation and specialised skills; and
iv. Strategic asset-seeking FDI with investors looking for an asset needed for the firm’s long-term development strategy, possibly to strengthen its position against competitors.
While the first two may appear to be purely structurally driven, local enabling policies can influence all the four types of FDI. These policies may include transportation support, beneficiation of natural resources, use of tariff structures that incentivise domestic production to access local markets, and programmes to develop specialised industry skills (
In Africa’s earlier history, multinationals were seen as an emblem of dependency; their presence was equated with foreign exploitation and it was inconceivable that these firms could contribute anything to the development of their host economies (
FDI is also important because MNCs are often at the forefront of innovation and their presence can provide a way of keeping up with innovation and global technological progress. FDI also contributes to growth and economic development by granting firms access to new machinery and equipment through joint venture activities with foreign affiliates that possess superior technological knowledge and equipment. This can result in adopting advanced technology for the domestic use, which in turn may raise the recipient country’s overall productivity (
The role of economic and political institutions and their relationship with FDI has received considerable attention in research literature. Economic and legal institutions that determine the “rules of the game”, such as law and order, control of corruption, property rights, and the way in which public services are delivered, vary considerably across countries. Numerous explanations for these differences have been put forward. An important factor is the maturity of political institutions and the effectiveness of checks and balances built by those in power; a country’s geography and factor endowments, its history and structure of its society. Economic institutions can be shaped by interactions between different countries and cultures; the extent to which a country is open to trade, investment and financial flows may also be crucial. Political institutions as voluntarily followed rules, designs, and structures may stimulate change and influence the allocation of benefits and detriments for the ultimate satisfaction of all involved (
Both economic and political institutions are influenced by collective societal choices. In their turn, well-functioning institutions may facilitate economic growth and investments through their influence on investment climate and business environment. (
Exploring the impact of governance institutions on FDI in SADC, the paper drew inspiration from similar studies by
FDIiit = β0 + β1Institutions + γixit + �it (1)
Where i reflects the number of panels and t denotes the time period. FDIiit is the net inflow of FDI as a percentage of GDP. Xit is a set of control variables in the econometric model, γi is their corresponding parameters to be estimated. Finally, �it captures the idiosyncratic error terms. Several econometric models, including pooled OLS, dynamic econometric models, and instrumental variable regressions are typically employed to estimate Eq.(1). OLS provides best linear unbiased estimates under strict assumptions of stationarity, linearity, and normality. In this study, we shall estimate our econometric model using the pooled OLS technique, test for robustness with panel corrected standard errors, and the feasible generalised least squares methods. These methods fit OLS models if the idiosyncratic error terms are heteroskedatic and contemporaneously correlated. In particular, the feasible generalised least squares methods assume the error strcutrue to be of order AR(1). Our main expectation is that institutional quality, as proxied by governance effectiveness, and economic development, market size, investment in human capital, and trade openness will play a positive and econometrically signficant role in atrracting FDI to the SADC member countries. We also test for this effect some other measures of institutional quality, such as regulartory quality, the rule of law, voice and accountability, political stability and control of corruption, together with the first principal components of these variables. The first principal component was retained because it accounted for 85.38% of the variance in the institution components.
The effects of institutions and regional integration on foreign direct investment (FDI) have been tested empirically with varying outcomes. Research literature generally shows significant positive effects of formal institutions on FDI. It appears that the impacts of formal and informal institutions tend to converge; in this regard, the most important institutions are governance and regulatory institutions, institutions of civil and political rights, and also those generating corruption and political risk (
The data used for this study were drawn from the World Bank’s World Development indicators and the Worldwide Governance Indicators (WGI); it is balanced panel data that cover the years between 1996 and 2022. The counries chosen for econometric analysis are Botswana, Comoros, the Democratic Republic of Congo, Eswatini, Lesotho, Madagascar, Mauritius, Namibia, Seychelles, South Africa, Zambia and Zimbabwe.
The proxy for FDI is straightforward and common in the literature: it is net FDI inflows as a percentage of GDP (
Variable | Proxy/Description | Source |
Foreign Direct Investment inflow | FDIi | UNCTAD Data base |
Economic development | GDP per capita (GDPPC) | WDI database |
Market size | Annual population growth (POPG) | |
Human Capital | Education expenditure share in GDP (EDUEXP) | WDI database |
Trade Openness | Trade share in GDP (Trade) | WDI data base |
Voice and Accountability, | VoA | WGI data base |
Political Stability and Absence of Violence/Terrorism | POS | WGI data base |
Government Effectiveness, | GoE | WGI database |
Regulatory Quality, | ReQ | WGI database |
Rule of Law | RoL | WGI database |
Control of Corruption | CoC | WGI database |
Score of Principal Component | PC1 | Principal Component analysis |
Table
Figure
We now turn over to the preliminary diagnostics of our data. Firstly, we test for normality of the data using the skewness test. Table
In Table
Next, we test for levels of stationarity of the variables included in our study. It is clear from Table
The model adopted in this study follows the standard practice described in the literature on the determinants of FDI, laying emphasis on a number of variables that measure, among other things, the market size, quality of human capital, the level of economic development and trade openness as indicators of the quality of investment climate and business environment. It also uses measures of institutional quality drawn from the World Bank’s governance indicators database. The results obtained from running different models within the pooled OLS (1), PCSE (2), and the FGLS (3) are presented in Table
Mean | Std. Dev. | min | max | skewness | |
FDIi | 4.443 | 6.812 | –10.038 | 56.288 | 26.63*** |
GDPPC | 1.547 | 4.343 | –18.324 | 19.939 | 34.070*** |
POPG | 1.949 | 1.028 | –2.629 | 3.759 | 77.240*** |
EDUEXP | 4.811 | 2.474 | 1.1 | 13.22 | 17.180*** |
XR | 87.296 | 40.099 | 25.042 | 222.178 | 26.070*** |
GoE | –.485 | 0.756 | –1.841 | 1.15 | 53.86*** |
CoC | –.3 | .711 | –1.648 | 1.698 | 23.040 |
ReQ | –.461 | .738 | –2.202 | 1.197 | 8.010 |
RoL | –.419 | .738 | –1.918 | 1.024 | 22.270 |
VoA | –.242 | .741 | –1.734 | 1.007 | 67.770 |
PoS | –.074 | .858 | –2.848 | 1.283 | 43.780 |
pc1 | 0 | 2.263 | –5.154 | 3.94 | –.175 |
Variables | (1) | (2) | (3) | (4) | (5) | (6) |
(1) GDPPC | 1.000 | |||||
(2) POPG | –0.080 | 1.000 | ||||
(3) EXPEDU | –0.070 | –0.415 | 1.000 | |||
(4) Trade | 0.104 | –0.406 | 0.336 | 1.000 | ||
(6) GoE | 0.045 | –0.596 | 0.430 | 0.423 | 1.000 | |
(6) pc1 | –0.006 | –0.585 | 0.467 | 0.367 | 0.955 | 1.000 |
Variable | Statistic | Level |
FDIi | –2.899*** | I(0) |
GDPC | –6.668** | I(0) |
POPG | –6.221*** | I(0) |
EDUEXP | –7.198*** | I(1) |
XR | –1.6363* | I(0) |
CoC | –9.405*** | I(1) |
GoE | –2.043*** | I(0) |
ReQ | –9.899*** | I(1) |
RoL | –9.309*** | I(1) |
VoA | –9.214*** | I(1) |
PoS | –2.713*** | I(0) |
The determinants related to governance institutions were found to have different effects on the FDI in the region; we present results for governance effectiveness in Table
(1) | (2) | (3) | |
VARIABLES | OLS | PCSE | FGLS |
Economic Development | 0.115** | 0.00911 | 0.0672* |
(0.0555) | (0.0332) | (0.0354) | |
Market Size | 0.515*** | 0.247 | 0.783*** |
(0.166) | (0.159) | (0.122) | |
LD. Human Capital | 0.327 | 0.111 | 0.0567 |
(0.423) | (0.263) | (0.286) | |
Trade Openness | 0.981*** | 0.794*** | 1.281*** |
(0.176) | (0.135) | (0.124) | |
Governance Effectiveness | 0.310*** | 0.382*** | 0.227*** |
(0.105) | (0.0950) | (0.0785) | |
Constant | –4.081*** | –2.928*** | –5.800*** |
(0.948) | (0.770) | (0.652) | |
Observations | 282 | 282 | 282 |
Number of ids | 14 | 14 | 14 |
Additional results in Appendix show that voice and accountability, regulatory quality, the rule of law, political stability have positive but insignificant effects on FDI in SADC. Similar relationship has been observed in the countries suffering from political instability, i.e. Zimbabwe, Swaziland, Lesotho and to some extent South Africa. Terrorist activities in the northern part of Mozambique and corruption that is still rampant in most countries of the region wield their evil influence, as revealed by the State Capture Commission and its reports in South Africa. Despite the development of judiciary systems with healthy respect for property rights and the rule of law, these challenges persist in most of the countries in the region. One may conclude that although institutional quality, business environment and investment climate are FDI-friendly, political instability, lack of security and high corruption levels remain a concern. Hence the policy implications of these findings: institutional constraints determined by the stated deleterious factors need to be addressed so that the SADC region could increase its total inflow of FDI.
According to the results obtained, economic development proxied by GDP per capita growth and market size proxied by population growth rate are significant determinants of FDI inflows into SADC. This is a confirmation of the market size hypothesis, that further attests the importance of a successful regional integration arrangement in creating a large market that attracts more FDI. The variable for human capital development proxied by the share of government expenditure on education in GDP is also positive but econometrically insignificant. The results suggest that the higher quality of human capital in the economies of the SADC region can attract FDI. The variable for trade openness is positive and highly significant in our models, which confirms the complementarity in the relationship between FDI and trade. Recent literature also suggests that FDI and trade go hand in hand as more FDI tends to encourage more trade, especially in the case of market-seeking export-oriented FDI.
The recent unbundling of global production and other changes represent real opportunities for developing regions to become part of the global production structures. The inflows of FDI can make a significant contribution to the process through technology transfer and diffusion and capital accumulation that comes with greenfield FDI. FDI may boost economic growth and development in the recipient countries if the right kind of investment is attracted and channelled to the right sectors. The SADC region is in dire need of more FDI and its diversification into other sectors, which should help the region shift away from resource dependence and develop its industrial and manufacturing base. This paper shows that the region has made significant progress in improving its business environment and investment climate, the quality of governance and democracy institutions proxied by Voice and Accountability, Government Effectiveness, Regulatory Quality and the rule of Law. These are further supplemented by successful regional integration and good quality of human capital. More work, however, needs to be done to increase the quality of the region’s infrastructure, take corruption under control and meet the challenges brought about by political instability and surges of violence and terrorism. Should these be addressed, the SADC region will be able to increase its inflow of SADC and use it to advance its developmental objectives.
(1) | (2) | (3) | (4) | (5) | (6) | |
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
m1 | m2 | m3 | m4 | m5 | m6 | |
VARIABLES | FDIi | FDIi | FDIi | FDIi | FDIi | FDIi |
Economic development | 0.0121 | 0.00870 | 0.0104 | 0.0116 | 0.00882 | 0.0115 |
(0.0339) | (0.0336) | (0.0339) | (0.0341) | (0.0346) | (0.0341) | |
Market size | 0.194 | 0.204 | 0.135 | 0.139 | 0.141 | 0.126 |
(0.158) | (0.157) | (0.151) | (0.153) | (0.154) | (0.154) | |
D. human capital | 0.126 | 0.143 | 0.125 | 0.118 | 0.137 | 0.134 |
(0.269) | (0.272) | (0.275) | (0.274) | (0.276) | (0.276) | |
Trade openness | 0.741*** | 0.811*** | 0.813*** | 0.830*** | 0.788*** | 0.845*** |
(0.163) | (0.139) | (0.146) | (0.142) | (0.163) | (0.145) | |
CoC | 0.398** | |||||
(0.185) | ||||||
ReQ | 0.304*** | |||||
(0.108) | ||||||
D. RoL | 0.391 | |||||
(0.560) | ||||||
D. VoA | –0.251 | |||||
(0.370) | ||||||
PoS | 0.0664 | |||||
(0.152) | ||||||
D. Scores for component | –0.0392 | |||||
(0.203) | ||||||
Constant | –2.684*** | –3.038*** | –3.005*** | –3.117*** | –2.884*** | –3.151*** |
(0.881) | (0.781) | (0.810) | (0.794) | (0.885) | (0.807) | |
Obs, | 282 | 282 | 282 | 282 | 282 | 282 |
R-squared | 0.154 | 0.144 | 0.128 | 0.123 | 0.129 | 0.131 |
Number of id | 14 | 14 | 14 | 14 | 14 | 14 |