Research Article |
Corresponding author: Gabila Nubong ( gabila.nubong@nwu.ac.za ) Academic editor: Marina Sheresheva
© 2024 Gabila Nubong, Lerato Ntuli.
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, Ntuli L (2024) Institutions as a determinant of Foreign Direct Investment inflows into the Southern African Development Community. BRICS Journal of Economics 5(3): 179-199. https://doi.org/10.3897/brics-econ.5.e120855
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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 sectors such as mining, agriculture, energy, information, and communications technology (ICT).
However, although important economic and institutional reforms have been undertaken by some SADC countries to encourage the inflow of FDI--particularly in low-income countries in the region, the flow of FDI to SADC member states remains low and concentrated in few countries and sectors and is still largely attracted to natural resources sectors.
This paper examines the institutions and infrastructure development in the promotion of FDI inflows into the SADC region. Institutions and infrastructure development typically have a positive effect on FDI inflows through their impact on the investment climate. The paper uses panel data econometric analysis with OLS and PCSE to ascertain the impact of governance institutions on FDI inflows into the region. The results obtained reveal that the quality of governance, together with the level of economic development, market size, and openness to trade with the external world play a critical role in attracting FDI into SADC countries. There is however a need to control rampant corruption and reduce the political instability common in some of the countries of the region.
Важность инфраструктуры для устойчивого экономического роста и развития давно признана экономистами, начиная с 1900-х годов. Однако значение этой ключевой экономической переменной является спорным вопросом, усугубляемым отсутствием эмпирических исследований, особенно в регионе Южной Африки. Из-за нехватки региональных исследований сохраняется определенная неопределенность в отношении инвестиций в инфраструктуру и их влияния на экономический рост. В результате большинство анализов и политических выводов основаны на моделях и исследованиях, проведенных в промышленно развитых странах, или исследованиях по отдельным странам.
Сообщество по вопросам развития стран Юга Африки (САДК) определило инфраструктуру как ключевой элемент устойчивого экономического роста, торговли и инвестиций, а также как средство борьбы с повышенным уровнем бедности и общими тяжелыми социальными условиями. Общеизвестным остается тот факт, что неадекватные стратегии инвестирования и улучшения инфраструктуры в любом регионе могут оказать негативное влияние на его экономический рост и развитие. Это исследование дополняет дискуссию, анализируя вклад расходов на инфраструктуру в экономический рост в Сообществе по вопросам развития Юга Африки.
Анализ взаимосвязи между инвестициями в инфраструктуру и экономическим ростом Сообщества по вопросам развития Юга Африки (САДК) имеет важное значение для определения экономического воздействия инвестиций в инфраструктуру и уровня инвестиций, которые, вероятно, внесут значимый вклад в усилия региона по содействию экономическому росту и решению проблемы бедности и низкого экономического роста. Таким образом, целью данного исследования было установить, существует ли долгосрочная взаимосвязь между инвестициями в инфраструктуру, выражающимися в валовом накоплении основного капитала, и экономическим ростом Сообщества по вопросам развития Юга Африки. В исследовании использовались панельная авторегрессионная модель с распределенным запаздыванием (ADRL) и модель коррекции ошибок (ECM) для изучения долгосрочных и краткосрочных взаимосвязей между валовым накоплением основного капитала и экономическим ростом наряду с другими объясняющими переменными. Исследование показало, что инвестиции в инфраструктуру оказывают положительное и значительное влияние на экономический рост SADC в долгосрочной перспективе, однако в краткосрочной перспективе влияния нет.
Infrastructure investment, economic growth, expenditure, infrastructure development
Инвестиции в инфраструктуру, экономический рост, расходы, развитие инфраструктуры.
Notwithstanding a number of economic and institutional reforms undertaken by some Southern Africa Development Community (SADC) countries to encourage the inflow of Foreign Direct Investment (FDI),FDI into SADC member states remains low and concentrated in few countries and sectors when compared to their regional counterparts in Europe and Asia. For a region made of countries that are developing, FDI is important because it can serve as a conduit for capital and technology transfer from one economy to the other. Such technology spill overs ‘constitute the major contribution of FDI to long term development due to their contribution to improvements in total factor productivity besides their potential to contribute to capital accumulation and the employment and foreign exchange earnings it promotes’ (Balasubramanyam and Mahambare, 2004:59). This contribution of FDI to the transfer and diffusion of technology is a critical component of the often-touted benefits of FDI because ‘technology is believed to be a vital source of economic growth through capital accumulation, and the benefits that come with the promotion of trade (
In the case of SADC, the global economic downturn that began in 2008 affected the region to the extent that between 2009 and 2010, total FDI in the region fell by almost 50%. In addition to this, FDI into SADC is still largely driven by inflows into the resources sector with countries like Angola, South Africa and recently Mozambique leading the way in attracting FDI into the natural resources sector. In the light of this reality, it is important for SADC to increase its global share of FDI inflows and to further diversify this increased inflow into other sectors that would enable the countries of the region to be able to participate in some manufacturing global production value chain, as it diversifies away from natural resources dependency.
This paper contributes to this debate by examining the role of governance institutions in the promotion of FDI inflows into the SADC region. Governance institutions here capture both political and economic institutions and have typically been found to 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 (SADC) 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 (FDI) in Southern Africa has been one of the drivers of infrastructure development and economic growth especially in sectors such as mining, agriculture, energy, information and communications technology (ICT) (AFDB,2020:25).Countries and regions with stronger economic institutions — effective rule of law, a good business climate, more secure property rights and market-friendly social norms — are better positioned to attract investment, participate in trade and utilise physical and human capital more efficiently, resulting in better growth performance over the long run (Robinson et al., 2005). FDI generally contributes to economic growth through capital accumulation in the recipient economy. It also encourages the incorporation of new inputs and foreign technologies in the production processes of the recipient economy. FDI is therefore expected to augment the existing stock of knowledge in the recipient economy through labour training and skill acquisition, on the one hand, and through the introduction of alternative management practices and organisational arrangements on the other (
In recognition of the importance of FDI, SADC countries have adopted a number of policies and protocols aimed at attracting FDI into the region. One such example is the Finance and Investment Protocol of 2006 which serves as the 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 specifically 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 some significant improves 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, while the Democratic Republic of Congo (DRC) also increased its net foreign direct investment inflow in 2010 to almost US $3 billion. Similarly, Seychelles increased its foreign direct investment as a percentage of gross domestic product significantly, approaching 40%. Between 2017 and 2018 seven of the region’s countries experienced a decline in FDI namely: Angola, Lesotho, Madagascar, Mauritius, Namibia, São Tomé & Príncipe and Zambia. In 2018, FDI more than doubled in South Africa and Zimbabwe. However, in the case of Zimbabwe, the rising FDI inflows in 2018 are associated with a small number of projects, as well as the low base. In 2019, the FDI inflows into the country fell to USD259 million and the downward trend is likely to continue in the context of the COVID-19 pandemic as on global economic growth. (AFDB, 2020:25). See Table 1 below:
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 |
When compared to other regions, the SADC region has struggled to attract inward FDI both from the region and globally (See Figure
The earlier theories of FDI mostly focused on explaining the behaviour of Multinational Companies, focusing on why and how they come to the decision of engaging in FDI. For example, Dunning (1993) classifies four main FDI drivers:
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 seeking 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 seeking an asset that is strategic to 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, enabling policies can influence all four FDI drivers. Some examples include policies to support transportation and/or beneficiation of natural resources, tariff structures that incentivise domestic production to access local markets, and policies to develop specialised industry skills (
Whereas in Africa’s earlier history, Multinationals used to be seen as an emblem of dependency; their presence equated to 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 enable a country to copy foreign technology and adopt it to domestic use and can raise a country‘s productivity in the development of new technologies, thereby affecting the productivity of the entire economy, (
With regards to the question of governance institutions and their relationship with FDI, the emphasis has often been on the role of economic and political institutions. Economic institutions — the “rules of the game” in a society, such as law and order, control of corruption, property rights, or the way in which public services are delivered — vary vastly across countries. Numerous explanations for these differences have been put forward. In particular, economic institutions can be affected by the maturity of political institutions, for instance, effectiveness of checks and balances on those in power; a country’s geography and factor endowments; a country’s history and structure of its society. Economic institutions canal so be shaped by interactions between different countries and cultures — in particular, the extent to which a country is open to trade, investment and financial flows. Political institutions are voluntary followed rules, designs, and structures that serve as a forum to stimulate change and influence the allocation of advantages and disadvantages with the aim to benefit all involved (Moe, 2005; Rhodes et al., 2008). The quality of political institutions is widely held to be one of the most important determinants of the quality of economic institutions (Adsera, Boix and Payne, 2003). Political competition and the checks and balances imposed in a well-functioning democracy restrict the ability of governments to engage in rent seeking while the accountability of government to taxpayers leads to more business-friendly rules and regulations (Olson (2000), North (1990) and North and Weingast, 1989). A country’s geography can have a profound impact on a country’s economic development. Landlocked countries with difficult climates and terrains may experience lower growth and development outcomes due to high transportation costs, diseases, low productivity in agriculture and other factors. Some studies see these direct channels as the driving force shaping economic outcomes (see, for instance, Gallup, Sachs and Mellinger, 1999) while others argue that geography affects development primarily through its impact on economic and political institutions (Robinson, Acemoglu and Johnson, 2005).
As a combination, economic institutions and political institutions are influenced by collective societal choices (Acemoglu et al., 2004). While well functioning economic and political institutions have an impact upon economic growth and also positively influence investments through their influence on the investment climate and business environment. (Rodrik, 2004; Acemoglu & Robinson, 2005; Redek & Suijan, 2005; Pereira & Teles, 2016). In the same token, economic prosperity (economic growth) through economic institutions relies on political institutions, and these political institutions shape the policy making process in turn influences economic growth (Acemoglu & Robinson, 2005; Flachaire et al., 2014; Campos & Giovannoni, 2017). Failure to implement efficient political policy reform processes may lead to economic difficulties, including corruption, the disregard of property right and the collapsed of the rule of law, with would ultimately also hinger effective economic growth (Mbulawa, 2015; Campos & Giovannoni, 2017).
To ascertain the inpact of governance institutions on FDI in SADC, the paper drew inspiration from similar studies like
FDIiit = β0 + β1Institutions + γixit + ∈it (1)
Where i reflects the number of panels and t denotes the time period. FDIiit is is the net inflow of FDI as a percent of GDP. Xit are a set of control variables in the econometric model, while γi are 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 and test for robustness using the panel corrected standard errors, and the feasible generalised least squares methods. These methods fit OLS models while assuming that the idiosyncratic error terms are heteroskedatic and contemporaneously correlated. In particular, the feasible generalised least squares assumes 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 into SADC member countries. We also test for the same effect on 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 of the components of institutions.
The effects of institutions as well as regional integration on foreign direct investment (FDI) has been particularly tested empirically with varying results and outcomes. The literature generally shows significant positive effects of formal institutions on FDI. A significant impact of institutions seems to have been converging to show the importance of in particular the following institutions: (1) corruption, 2) governance and regulatory institutions, 3) political institutions (civil and political rights) and political risk (Kapas, 2020:163). Ajide and Raheem (2016) studied the institutions-FDI Nexus in ECOWAS countries and found that countries with better institutions were able to attract more FDI than countries within ECOWAS with poorer institutions. On their part, Adegboye et al. (2020) conducted a study on Institutional quality, foreign direct investment, and economic development in sub-Saharan Africa (SSA). They make use of pooled data for 30 SSA countries for the period 2000 to 2018. Their study makes use of panel fixed and random effect estimation techniques. Their study finds that foreign capital inflow is crucial for economic development in the SSA and the quality of institutions is also a determinant factor that affects levels of FDI inflows into SSA. Their study recommends that the government of host SSA sub-region needs to consider the degree of institutional quality to encourage further FDI inflows.
The data used for this study was drawn from the World Bank’s World Development indicators and the Worldwide Governance Indicators (WGI). It is a balanced panel data that covers the years 1996 to 2022. Retained counries for the econometric analysis include 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, that 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 3 presents the descriptive statistics of all included variables in the study. It can be observed that the average FDI inflow as a percent of GDP for the entire sample over the period considered was 4.4%. FDIi ranged from -10% (divestment in some countries) to 56.2% of GDP. Table 3 also shows summary statistics of economic development (GDPPC), market size (population growth rate), human development (EDUEXP), trade openness (XR), and governance indicators from the WGI.
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 |
Figure
We now turn over to the preliminary diagnostics of our data. Firstly, we test for normality of the data using the skewnesss test. Table 3 shows results of Skewness test hypothesis or the D’Agnostino-Pearson test for skewness. The null hypothesis states that the distribution is symmetric. Based on the results, we reject the null hypotheses and conclude that the distributions are asymmetric. In order to address skewness, we proceed by using sine log transformation to linearise our dataset.
In Table 4, we present results from the pair-wise correlation test of all included explanatory variables. It would be observed that the correlation between governance effectiveness and the first principal component institutional are quite high, greater than 95%, indicating evidence of potential multicollinearity. Therefore, both variables cannot be used in the same model. This is so because PC1 is derived from constructs of institutional quality, and governance effectiveness accounted for a significant variation in its construction.
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 |
Next, we test for levels of stationarity of the variables included in our study. it can be observed from Table 5 that foreign direct investment inflow, GDP per capita growth, population growth rate, trade openness, governance effectiveness, and political stability and the absence of violence are stationary at level, that is, I(0). The remaining variables are stationary at first difference. Therefore, we take first differences of human capital investmen (education expenditure), control of corruption, regulatory quality, rule of law, and voice and accountability in all regressions to ensure we do not arrive at spurious regression results.
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 model adopted for this study follows the standard practice within the literature of the determinants of FDI, laying emphasis on a number of variables that measure amongst others market size, the quality of human capital, the level of economic development, and trade openness as combined measures of the quality of the investment climate and business environment. These are further strengthened by a number of 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 3 below,
As far as the governance institutions determinants were concerned, they were found to have different effects on the FDI in the region but we present results for governance effectiveness in Table 6. Accordingly, governance effectiveness has a positive and highly significant impact on FDI inflow in SADC region. These findings are consistent with many studies in the empirical literature (
(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 shows that voice and accountability, regulatory quality, the rule of law, political stability have positive but insignificant effects on FDI into SADC. This seems to be consistent with the noted experience of the countries in the region, where there have been some political instability in countries like Zimbabwe, Swaziland, Lesotho and to some extent South Africa. There is also the situation of terrorist activities in the northern Part of Mozambique and corruption seems to be rampant across all countries, as noted in the recent revelations of the State Capture Commission and their reports in South Africa. These challenges notwithstanding the judiciary systems are still robust in most of the countries of the region, with a healthy respect for property rights and the rule of law. This suggest that the institutional quality and strength of the business environment and investment climate is quite friendly towards attracting FDI but the politics and levels of corruption, including concerns around the security situation in some of the countries of the region remain a concern. The policy implications of these findings, is that the constraints to the institutional quality that affects inflows of FDI including corruption, political instability and security concerns including the rising threat of terrorism, all need to be addressed so that the SADC region can 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 and important determinant 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 government expenditure on education share in GDP) is also positive but econometrically insignificant. The results suggest that the quality of human capital in the economies of the SADC region is a positive attraction for FDI. The variable for trade opennes is positive but highly significant in our models, which sort of show confirm 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 for market seeking export orientated FDI.
Recent changes in global production structures with the unbundling of global production represents real opportunities for developing country regions to become part of the global production structures. The inflows of FDI can make a significant contribution towards taking advantage of these advantages through their promotion of technology transfer and diffusion and the capital accumulation that comes with greenfield FDI. FDI in this regard comes with the added advantage of encouraging economic growth and development in the recipient countries, if the right kind is attracted and channelled to the right sectors. The SADC region is in high need for more FDI and for this FDI to be diversified into other sectors. This diversification is important to move the region away from resource dependence and to help it develop its industrialisation and manufacturing base. This paper has demonstrated that the region enjoys certain positive elements within its business environment and investment climate that attracts FDI, including the quality of governance and vibrant democracies as proxied by Voice and Accountability, Government Effectiveness, Regulatory Quality and the rule of Law. These are further supplemented by a successful regional integration arrangement and a good quality of human capital. More work however needs to be done to increase the quality of the region’s infrastructure, control corruption and improve the challenges brought about by Political instability and the new surges of violence and Terrorism. Should these be addressed, the SADC region should be able to increase its inflow of SADC and use it to advance its developmental objectives.
(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 |