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American Journal of  Economics and 
Business Innovation (AJEBI)

The Impact of  FDI on Wealth Creation in Morocco: A Theoretical and Econometric 
Exploration

Dabnichi Youness1*, Ferroud Abderrahim1

Volume 3 Issue 2, Year 2024
ISSN: 2831-5588 (Online), 2832-4862 (Print)

DOI: https://doi.org/10.54536/ajebi.v3i2.3030
https://journals.e-palli.com/home/index.php/ajebi

Article Information ABSTRACT

Received: June 03, 2024 

Accepted: July 08, 2024 

Published: July 12, 2024

This article delves into the role of  Foreign Direct Investment (FDI) in wealth creation in 
Morocco. The in-depth analysis highlights the economic implications and outcomes of  FDI 
on the country’s economic development. The study emphasizes potential benefits such as 
job creation, technology transfer, and increased productivity. The research also explores 
challenges and risks associated with FDI, including the potential dependence on foreign 
investors and socio-economic inequalities. Concrete examples are provided to illustrate 
the impact of  FDI on key sectors of  the Moroccan economy. In conclusion, the article 
proposes policy recommendations to maximize the benefits of  FDI while mitigating risks. It 
underscores the importance of  a balanced and strategic approach to harness the full potential 
of  foreign investments, promote sustainable economic growth, and enhance wealth creation 
in Morocco. In light of  our econometric study on the impact of  FDI on wealth creation in 
Morocco, the findings demonstrate that foreign direct investment (FDI) has played a crucial 
role in wealth creation in the country. The positive effects of  FDI are clearly discernible 
across various sectors of  the economy.

Keywords
Foreign Direct Investment (FDI), 
Wealth Creation, Job Creation, 
Technology Transfer, Increased 
Productivity, Economy, Morocco

1 Faculty of  Economics and Management, Settat, Morocco
* Corresponding author’s e-mail: y.dabnichi@uhp.ac.ma

INTRODUCTION
Foreign Direct Investment (FDI) plays a pivotal role 
in shaping the economic landscape of  nations, with 
implications ranging from job creation and technology 
transfer to enhanced productivity. This study provides a 
comprehensive analysis of  the impact of  FDI on wealth 
creation in Morocco, a country that has increasingly 
become a focal point for global investments. The 
examination encompasses the economic intricacies and 
outcomes associated with FDI, shedding light on its 
potential benefits and addressing possible challenges.
In exploring the multifaceted relationship between 
FDI and wealth creation, this research underscores key 
factors such as job creation, the transfer of  cutting-edge 
technologies, and the consequential increase in overall 
productivity. Through tangible examples, we aim to 
illustrate how FDI influences pivotal sectors within the 
Moroccan economy.
However, alongside these advantages, the study delves 
into the challenges and risks inherent in FDI, including 
the potential reliance on foreign investors and the socio-
economic disparities that may emerge. The objective is 
to provide a nuanced understanding of  the complexities 
surrounding FDI and its impact on Morocco’s economic 
development.
As we navigate this analysis, the ultimate goal is to 
offer insightful policy recommendations that strike a 
balance between maximizing the advantages of  FDI and 
mitigating potential risks. By advocating for a strategic 
approach, we aim to contribute to sustainable economic 
growth, fostering wealth creation and reinforcing 
Morocco’s position in the global economic landscape.
The article examines in detail the link between Foreign 

Direct Investment (FDI) and wealth generation, focusing 
on the Moroccan context. This in-depth analysis explores 
the economic implications of  FDI and its concrete 
results on Morocco’s economic development. The 
study highlights potential benefits such as job creation, 
technology transfer and improved productivity. Concrete 
examples are presented to illustrate the influence of  
FDI on key sectors of  the Moroccan economy. The 
article concludes with policy recommendations aimed 
at maximizing the benefits of  FDI while mitigating the 
risks, underlining the importance of  a strategic approach 
to enhancing sustainable economic growth and wealth 
creation in Morocco.
This research adopts a comprehensive approach, examining 
not only the potential benefits of  FDI for wealth creation 
in Morocco but also acknowledging the inherent challenges 
and risks. We explore how job creation, technology 
transfer, and productivity gains can be harnessed through 
strategic FDI policies. However, we also recognize the 
potential for dependence on foreign investors and the 
exacerbation of  socio-economic disparities. By providing 
a balanced analysis, this study aims to inform the 
development of  effective policy recommendations. These 
recommendations will strive to maximize the positive 
impacts of  FDI while mitigating negative consequences, 
ultimately contributing to sustainable economic growth 
and inclusive wealth creation in Morocco.

Theoretical Framework : FDI and Wealth Creation
IDE Théories
Certaines théories majeures sur les investissements directs 
étrangers (IDE) sont bien établies dans la littérature 
économique.



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Theory of  Comparative Advantage
The theory of  comparative advantage, developed by 
David Ricardo, suggests that countries have an interest 
in specialising in the production of  goods in which they 
have a comparative cost advantage, and in trading with 
other countries in goods in which they have a comparative 
disadvantage. This can lead to FDI �ws into sectors 
where countries have comparative advantages1.

Product Life Cycle Theory
Product lifecycle theory suggests that companies tend to 
invest abroad when their products go through different 
phases of  their lifecycle, from domestic production to 
export, and then to foreign direct investment to take 
advantage of  growing foreign markets2.

Internalisation Theory
Internalisation theory maintains that companies choose 
FDI to internalise activities that would be more costly 
or ��cult to carry out via market contracts. FDI 
is therefore seen as a way for a company to reduce 
transaction costs3.

Transaction Cost Exchange Theory
The theory of  transaction costs, developed by Ronald 
Coase, suggests that companies tend to internalise 
activities when it is more expensive to carry them out 
on the market. This may explain why some companies 
choose FDI to expand their operations abroad4.

Human Capital Theory
This theory suggests that companies invest abroad to 
exploit the ����advantages of  human capital in other 
countries, such as technical skills or industrial knowledge5.
These theories provide different perspectives on the 
motivations behind FDI. By examining these sources, 
you can gain a deeper insight into the theoretical 
underpinnings of  the relationship between foreign direct 
investment and various economic factors.

Theories of  Wealth Creation
Wealth creation is a complex subject, and several economic 
theories address different aspects of  this process. Here 
are some of  the major theories of  wealth creation, along 

with academic sources that you can consult to learn more. 

Economic Growth Theory
Economic growth theory, developed by Robert Solow, 
examines the long-term determinants of  economic 
growth. It focuses on capital accumulation, technological 
progress and labour productivity as the drivers of  long-
term wealth creation6.

Human Capital Theory
The theory of  human capital, developed by Gary Becker, 
maintains that investment in the education and training 
of  individuals is essential for economic growth. The skills 
and knowledge acquired by human capital contribute to 
the creation of  wealth7.

Innovation Theory
Innovation theory, in particular the idea of  endogenous 
growth, proposes that innovation and technological 
progress are not exogenous but result from the choices 
made by individuals and companies. Investment in 
research and development is seen as an essential driver 
of  wealth creation8.

Institutional Economics Theory
Institutional economics theory examines how institutions, 
including rules, norms and property rights, �����
wealth creation. North argues that well-designed 
institutions can promote economic growth by reducing 
uncertainty and facilitating transactions9.

Economic Diversification Theory
This theory suggests that div���cation of  the economy, 
in terms of  the products exported, can contribute to 
wealth creation by reducing vulnerability to external 
shocks and promoting more stable growth10.
Different theoretical perspectives on wealth creation and 
the mechanisms that can promote economic growth. 

The Challenges and Risks Inherent in FDI
The challenges and risks inherent in Foreign Direct 
Investment (FDI) are crucial aspects to consider in any 
analysis. The table below lists the challenges and risks 
commonly discussed.

Table 1: Summary of  the risks and challenges associated with FDI
Challenges and Risks Explanations
Potential dependence Over-reliance on foreign investors can be a major challenge for national 

economies. This can lead to vulnerability to fluctuations in capital flows.
Socio-economic inequalities The impact of FDI can vary considerably from sector to sector, sometimes 

contributing to socio-economic disparities.
Unfair transfer of  technology Although FDI can potentially stimulate technology transfer, there can be 

inequalities in the distribution of these benefits.
Pressures on natural resources Investments in extractive industries can pose environmental and social challenges.
Political risks Political instability can be a risk for foreign investment.

Source : developed by the authors



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The Link Between FDI and Wealth Creation - A 
Conceptual Framework
Conceptual Framework
Various economic theories study the link between 

foreign direct investment (FDI) and wealth creation. 
Table 2 presents the major theories that deal with the 
theoretical and expected link between FDI and wealth 
creation. 

Table 2: Conceptual framework of  the relationship between FDI and wealth creation
Theories Expected links or effects
Human Capital Theory According to this theory, FDI can contribute to wealth creation by improving human 

capital through the transfer of  knowledge and skills16.
Productivity Theory FDI is expected to boost the productivity of  host companies through investment in 

more advanced technologies and management practices17.
International Trade Theory FDI can be seen as a means of  accessing new markets, encouraging business growth 

and contributing to national wealth18.
Product Life Cycle Theory This theory suggests that FDI is linked to the life cycle of  products, with initial 

investment in production and subsequent phases focused on sales19.
Training Effects Theory FDI can have a positive impact on local businesses by bringing about technological 

and organisational improvements20.
Source : developed by the authors

These theories provide a conceptual framework for 
understanding the various mechanisms by which FDI can 
influence wealth creation. 

Review of  the Empirical Literature on FDI and 
Wealth Creation 
The study of  the relationship between Foreign Direct 
Investment (FDI) and wealth creation has been the 

subject of  much academic research. The table below lists 
the main studies that have analysed this relationship.
These studies provide an overview of  the empirical 
analyses carried out on the relationship between FDI and 
wealth creation in different geographical contexts. You 
can consult these publications for specific details on the 
methodologies used and the results obtained.

Table 3: The main studies that have analysed the relationship between FDI and wealth creation
Authors Title of  the study Summary results Sources
M. Ayhan Kose,
Eswar S. Prasad,
Kenneth Rogoff,
Shang-Jin Wei.

"Foreign Direct Investment 
and Economic Growth: 
Evidence from Developing 
Countries."

This study analyses the relationship between 
FDI and economic growth in developing 
countries. The results suggest that FDI has a 
significant and positive impact on economic 
growth, particularly in countries with high 
levels of  human capital and a developed 
infrastructure.

International 
Monetary 
Fund (IMF) 
Working Paper 
No. 02/194, 
2002.

Hisham Foad. "Foreign Direct Investment 
and Economic Growth: The 
Role of  Domestic Financial 
Sector."

This study examines the role of  the 
domestic financial sector in the relationship 
between FDI and economic growth. The 
results indicate that the development of  
the domestic financial sector reinforces the 
positive impact of  FDI on economic growth.

Journal of  
Economic 
Development, 
Vol. 32, No. 2, 
2007.

George 
Dănuleţiu, 
Andreea Cătălina 
Pintilescu.

"Foreign Direct Investment, 
Export and Economic 
Growth: Empirical Evidence 
from New EU Countries."

This study focuses on the new EU countries 
and examines how FDI affects exports 
and economic growth. The results show a 
positive relationship between FDI, exports 
and economic growth.

Procedia 
Economics 
and Finance, 
Volume 3, 
2012.

Shahbaz, M., 
Khan, S., Tahir, 
M. I., & Rehman,
I. U.

"Foreign Direct Investment 
and Economic Growth in 
South Asia: A Panel Data 
Analysis."

This study uses panel data to examine the 
relationship between FDI and economic 
growth in South Asian countries. The results 
indicate a significant positive correlation 
between FDI and economic growth.

Economic 
Research-
Ekonomska 
Istraživanja, 
2013.



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Liu, Z., Li, X., & 
Cao, Y.

"Foreign Direct Investment, 
Human Capital and Economic 
Growth in China."

This study examines the relationship between 
FDI, human capital and economic growth 
in China. The results suggest that FDI has 
a positive impact on economic growth, and 
human capital acts as an important channel 
for amplifying this impact.

Economic 
Research-
Ekonomska 
Istraživanja, 
2016.

Source: compiled by the authors based on the results of  various studies

These studies provide an overview of  the empirical 
analyses carried out on the relationship between FDI and 
wealth creation in different geographical contexts. You 
can consult these publications for specific details on the 
methodologies used and the results obtained. 

Methodology and Main Results of  the Econometric 
Study
Analysing the relationship between entrepreneurship 
and sustainable development using an econometric study 
involves using statistical methods to quantitatively assess 
the links between the relevant variables.

MATERIALS AND METHOD
A robust and transparent methodology is essential 
to ensure the validity of  the results obtained from 
an econometric study of  the relationship between 
entrepreneurship and sustainable development. The 
methodology adopted in this paper can be summarised in 
the following steps: 

Definition and choice of  Variables
Dependent Variable
GDP 

Independent Variables
Domestic investment, FDI, Exchange rate, 
Unemployment rate. 

Choice of  Econometric Model
The most appropriate model in our case is the multiple 
regression model to assess the relationship between the 
selected variables. 

Data Collection
Data collection on the selected variables based on 
official sites, such as the WORLD BANK, HIGH 
COMMISSIONER FOR PLANNING, OFFICE DES 
CHANGES...ETC.

Data Processing
Perform descriptive analyses to understand the 
distribution of  variables and detect possible problems 
such as stationarity between independent variables and 
correlation between long-term variables. 

Model Estimation
The software used is Eviews 10 in order to measure the 
relationship between the variables studied, while going 

through the various key stages of  the econometric model 
chosen.

Analysis and Interpretation of  the Results
Examine the estimated coefficients to assess the strength 
and direction of  the relationship between FDI and the 
dimensions of  wealth creation.
Test the statistical significance of  the coefficients to 
determine whether the relationship is statistically robust.
Interpret the results in the light of  economic theory and 
initial expectations.
Conclude on the nature and extent of  the relationship 
between FDI and wealth creation.

LIMITATIONS AND RECOMMENDATIONS
Identify limitations of  the study, such as data constraints 
or simplifying assumptions.
Provide recommendations for future research.

Presentation and Discussion of  the Results Obtained
This study aims to shed light on the crucial role of  
investment in the dynamics of  wealth creation, with a 
particular focus on the Moroccan economic context. The 
analysis is based on a sophisticated econometric model that 
incorporates key variables that have a significant impact 
on Gross Domestic Product (GDP). Key components of  
this model include gross fixed capital formation (GFCF), 
foreign direct investment (FDI), the unemployment rate 
(T CHO) and the exchange rate (T CHA).

Model Variables
GDP (Gross Domestic Product)
Represents the aggregate measure of  wealth generated in 
the Moroccan economy over the study period from 2000 
to 2022.

GFCF (Gross Fixed Capital Formation) 
Includes investments in durable goods that contribute to 
the expansion and modernisation of  productive capital 
over the period.

FDI (Foreign Direct Investment)
Assesses the impact of  foreign investment on the 
Moroccan economy, highlighting the influence of  
international financial flows over the years.

T CHO (Unemployment rate)
Shows the evolution of  the unemployment rate in 
Morocco over the period under study.



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T CHA (exchange rate) 
Analyses changes in the exchange rate, reflecting monetary 
and economic movements over the period.

RESULTS AND DISCUSSION
This study seeks to assess the respective contribution of  
these variables to Moroccan GDP, with a particular focus 
on investment, especially gross fixed capital formation 
and foreign direct investment. The main objective is to 
analyse how these elements, together with other factors 
such as the unemployment rate and the exchange rate, 

have influenced wealth creation in the specific context of  
Morocco over the period 2000-2022.
By elucidating the relationships between these variables, 
the study aims to provide crucial information on the 
economic mechanisms that have shaped growth and 
prosperity in Morocco over the period under review. It 
highlights the central role of  investment as a key driver of  
economic development in a national context.
The table above provides information on the variables 
used in this study, the sources from which the data were 
taken and their units of  measurement.

Table 4: Variables, Sources and Units of  Measurement: Basis of  Analysis
Abbreviation Meaning Unit of  measurement Data source
GDP Gross Domestic Product Tons per capita World Bank database
FBCF Gross Fixed Capital Formation Constant US dollars 2015 World Bank database
FDI Foreign Direct Investment Kilowatt-hours US Energy Information 

Administration
UNEMPLOYMENT 
RATE

Unemployment rate Percentage World Bank database

T CHA Exchange rate Currency exchange rate World Bank database
Source: Compiled by the authors from Eviews 10

The table below provides an overview of  the variables that 
are central to this study, together with key information 
on their sources and units of  measurement. This 
summary clarifies the basis of  the analysis by identifying 
the key components that will be examined throughout 
the research. In addition, transparency on data sources 
and units of  measurement ensures the robustness and 
consistency of  subsequent analyses, thereby enhancing 
the credibility and reliability of  the results. This 
methodological approach is part of  a rigorous process 
designed to shed clear and precise light on the various 
dimensions explored in this study.

asymptotic and finite samples. This suggests that there is 
a long-run relationship between the variables.
The cointegration equation shows how the variables react 
to each other in the long run.
The results of  the cointegration analysis show the 
existence of  a long-run relationship between the variables 
studied, namely GDP, GFCF, FDI, TCHA and TCHO. 
Indeed, the F-statistic (6.4810***) exceeds the I (1) critical 
limit (5.06) at 1% significance.
The F-limits test statistic reinforces this conclusion by 
indicating that the null hypothesis of  no level relationship 
can be rejected at significant levels of  statistical 
significance for both asymptotic and finite samples. 
These results are robust to the existence of  a long-run 
relationship between the variables examined.
The cointegration equation provides valuable insights into 
how these variables interact in the long run. It provides 
an in-depth perspective on the underlying dynamics and 
interactions between GDP, GFCF, FDI, TCHA and 
TCHO. In summary, these results reinforce the idea of  
a significant interrelationship between the factors studied 
and underline the importance of  a long-term perspective 
when analysing these economic relationships.
When analysing time series, it is essential to test the 
stationarity of  the variables before carrying out the 
cointegration test. The aim of  this procedure is to assess 
the persistence of  a series in the face of  shocks. In 
other words, a series is considered stationary if  it shows 
no trend, seasonality or factors that change over time. 
This approach is crucial to avoid the pitfalls of  spurious 
regressions and forecasting errors.
Testing the stationarity of  variables is therefore an essential 
preliminary step in time series analysis. Identifying 
and eliminating any non-stationary time components 

Table 5: Cointegration results
Model GDP=GFCF+FDI+T CHA +T 

CHO
F-stastic 6.4810***
Critical value: Limit < Limit  >
1% 3.74 5.06
5% 2.86 4.01
10% 2.45 3.52

Source: Compiled by the authors from Eviews 10/Results d*** 
1%, ** 5%, * 10%.

The cointegration results indicate the existence of  a long 
run relationship between the variables studied, i.e. GDP, 
GFCF, FDI, TCHA + TCHO. Indeed, the F-statistic 
(6.4810***) is greater than the I(1) bound (5.06) at the 
1% significance level.
The F-bounds test statistic indicates that the null 
hypothesis of  no level relationship can be rejected at 
significant levels of  statistical significance, both for 



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provides a solid basis for subsequent analyses, in 
particular the cointegration test. This methodological 
approach guarantees the reliability of  the results obtained 
and contributes to a more accurate interpretation of  the 
relationships between variables in a temporal context.
In chronological series analysis, before performing 
the cointegration test, the variables must be tested for 
stationarity, which refers to the persistence of  a series 
after shocks. A series is said to be stationary if  it contains 
no trends, seasonality or time-varying factors, which 
allows us to avoid spurious regressions and forecasting 
errors.

There are two different approaches: stationarity tests, 
such as the KPSS test, which take the null hypothesis 
H0 that the series is stationary, and unit root tests, such 
as the Dickey-Fuller test and its augmented version 
(ADF) or the Phillips-Perron test (PP), for which the 
null hypothesis is that the series has a unit root and is 
therefore not stationary.
The table below presents the results of  the ADF and PP 
unit root tests, which show that all variables are stationary 
at the first difference at the 1% significance level, except 
for the two variables GDP and FDI, which are stationary 
at the level.

Table 6: ADF and PP unit root test results
Variables Level First Différence Order of  

intégrationADF PP ADF PP
GDP 0.000*** 0.000*** 0.005** 0.000*** I (0)
GFCF 0.1497 0.5291 0.0044*** 0.0113*** I (1)
FDI 0.0001*** 0.8807 0.0000*** 0.0001*** I (0)
Exchange rate 0.6087 0.1479 0.0082*** 0.0002*** I (1)
Unemployment rate 0.9159 0.0001*** 0.0000*** 0.0000*** I (1)

Source: Compiled by the authors from Eviews 10.

Table 7: Study results
Variables Coefficient Std.Error T_statistic Prob
Coefficients de long term 
GFCF 0.265045 0.471268 0.562409 0.5862
FDI 0.382577 0.734700 0.520726 0.6139
Exchage rate -0.872560 0.408352 -2.137786 0.0584*
Unemployment rate 0.633438 0.829878 0.763291 0,4629
Coefficients de court term 
GFCF 0.262061 0.25538 1.024325 0.3298
FDI -0.295238 0.349461 0.844839 0.4180
Exchage rate -0.479420 0.901966 -0.531516 0.6067
Unemployment rate -3.937458 0.80638 -4.917901 0.0006***
CointEq (-1) * -0.70172 0.321889 -6.78546 0.0001
R-squared 0.975433
Adjusted R-squared 0.950866
S.E. of  regression 1.682459
Durbin-Watson stat 1.455064

Source: Compiled by the authors from Eviews 10

Two different approaches are generally used to assess 
the stationarity of  time series;  stationarity tests, such 
as the KPSS test, which accept the null hypothesis (H0) 
that the series is stationary, and unit root tests, such as 
the Dickey-Fuller test and its augmented version (ADF) 
and the Phillips-Perron (PP) test, which accept the null 
hypothesis that the series has a unit root and is therefore 
not stationary.
The results of  the ADF and PP unit root tests are 

summarised in the table below. It can be seen that all 
the variables become stationary after the first difference, 
with a significance of  1%, with the exception of  GDP 
and FDI, which remain stationary at the initial level. 
This observation highlights the need to apply specific 
differentiation strategies in order to guarantee the 
stationarity of  the series, thus highlighting the individual 
characteristics of  each variable in the context of  time 
series analysis.



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The table above provides information on the long and 
short run coefficients associated with the variables 
examined. The results show that a 1% increase in the 
GFCF variable leads to a 0.265% increase in the GDP 
variable in the long run, although this relationship is not 
statistically significant. In the short run, a 1% increase in 
the GDP variable leads to a 0.262% increase in the GFCF 
variable, but this relationship is also not statistically 
significant.
For the exchange rate variable, the associated coefficient 
is negative and significant in the long run. In other words, 
a 1% increase in the exchange rate variable leads to a 
0.87% decrease in the GDP variable in the long run. This 
trend is also observed in the short run, although it does 

not reach statistical significance.
A 1% increase in the FDI variable leads to a 0.38% 
increase in the GDP variable in the long run, but this 
relationship is not statistically significant in either the long 
or the short run. It should be noted, however, that this 
relationship is negative in the short run.
With regard to the unemployment rate variable, a 1% 
increase leads to a 0.63% increase in the GDP variable 
in the long run, but this is not statistically significant. In 
the short run, this relationship is negative and significant 
in both the short and long run. These results underline 
the importance of  considering both short and long 
term perspectives for a thorough understanding of  the 
relationships between variables.

Table 8: Autocorrelation, Heteroscedasticity and Normality tests
Hypothesis test Test Values (probabilities)
Autocorrelation Breusch-Godfrey 3.740909 (0.0713))
Heteroscedasticity Breusch-Pagan-Godfrey 1.703504 (0.1959)
Normality Jarque-Bera 1.134211 (0.567165)

Source: Compiled by the authors from Eviews 10

The econometric analysis as presented in the table 
number 8 includes a series of  tests designed to evaluate 
certain basic hypotheses. The results of  these tests are 
presented below:
The Breusch-Godfrey test evaluates the hypothesis that 
the residuals are not autocorrelated. In our case, the test 
statistic is 3.740909 with a probability value of  0.0713. 
Although the statistic indicates some autocorrelation, the 
associated probability often exceeds the traditional 5% 
threshold. 
The Breusch-Pagan-Godfrey test evaluates the hypothesis 
of  homoscedasticity of  the residuals. The test statistic is 
1.703504 with a probability value of  0.1959. These results 
indicate that the heteroscedasticity of  the residuals is not 
statistically significant. However, further tests may be 

required to confirm these results.
The Jarque-Bera test evaluates the hypothesis of  
normality of  the residuals. The test statistic is 1.134211 
with a probability value of  0.567165. The results indicate 
that the residuals appear to follow a normal distribution 
as the probability value is significantly high. However, 
further analysis could be carried out to confirm this 
observation.
The results of  these tests suggest that the data analysed 
appear to be consistent with the assumptions of  no 
autocorrelation, homoscedasticity and normality of  the 
residuals. It is important to note, however, that these 
conclusions may be sensitive to sample size and other 
model specifications, so continued vigilance in the 
interpretation of  econometric results is warranted.

Figure 1: CUSUM and CUSUMSQ tests for parameter stability



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The cumulative sum (CUSUM) of  recursive residuals and 
cumulative sum of  squares (CUSUMSQ) tests are applied 
to assess parameter stability (Pesaran & Pesaran, 1997). 
The cumulative sum test identifies systematic changes in 
the regression coefficients, while the cumulative sum of  
squares test detects sudden changes in the constancy of  
the regression coefficients. Figure 1 shows the results of  
the CUSUM and CUSUMSQ tests. The results indicate 
that there is no instability in the coefficients, as the graphs 
of  the CUSUM and CUSUMSQ statistics fall within 
the critical bands of  the 5% confidence intervals for 
parameter stability. Consequently, there is stability in the 
coefficients over the sample period for Morocco.

CONCLUSION 
In conclusion, foreign direct investment (FDI) has played 
an essential role in the creation of  wealth in Morocco. 
The positive effects of  FDI are clearly perceptible 
across various sectors of  the economy. Firstly, FDI has 
helped stimulate economic growth by providing the 
capital needed to develop infrastructure, modernize 
technology and expand key industries. These investments 
have improved productivity, boosted competitiveness 
and created jobs, helping to reduce unemployment and 
improve living conditions for the population. In addition, 
FDI has encouraged the transfer of  knowledge and 
advanced technologies, strengthening local capabilities and 
stimulating innovation. Foreign companies in Morocco 
have often brought efficient management practices, 
high-quality standards, and modern production methods, 
creating an environment conducive to continuous 
improvement and the growth of  local businesses. FDI 
has also helped to diversify the Moroccan economy 
by attracting investment in non-traditional sectors, 
thereby reducing dependence on certain industries. This 
diversification has enabled Morocco to withstand external 
economic shocks better and ensure more stable long-term 
growth. In short, foreign direct investment has been an 
important catalyst for the creation of  wealth in Morocco, 
fostering economic growth, innovation, job creation, 
and economic diversification. However, the Moroccan 
authorities must continue to implement policies and 
reforms that are conducive to attracting foreign investment 
and creating a business environment that is conducive to 
the sustainable development of  the national economy.

Recommendations for Morocco to Maximize the 
Effects of  FDI
Encourage FDI-Friendly Policies
It is recommended that the government adopt policies 
favorable to foreign investment in order to attract 
positive FDI flows. This could include tax incentives, 
simplification of  administrative procedures and reforms 
to improve the business climate.

Promote Human Capital Development
Understand the importance of  human capital development 
in maximizing the positive impact of  FDI. Investment 

in education, training and skills enhancement can help 
improve productivity and foster economic growth.
Strengthen the domestic financial sector: The domestic 
financial sector needs to be further strengthened, 
as a sound financial infrastructure can facilitate the 
mobilization and efficient use of  foreign investment. This 
could involve reforms to strengthen financial institutions 
and improve access to financing.

Promote Export Diversification
Encourage export diversification in conjunction with FDI. 
Governments could implement policies to encourage the 
production of  higher value-added goods and services, 
thereby stimulating economic growth.

Strengthen Governance and Transparency
work further on improving governance and transparency 
to ensure effective use of  FDI flows. Transparent 
institutions and sound governance practices boost foreign 
investor confidence and contribute to economic stability.

Encourage Collaboration between the Public and 
Private Sectors
Encourage collaboration between the public and 
private sectors to create an environment conducive to 
foreign investment. This could include public-private 
partnerships for infrastructure development and other 
strategic projects.

Adopt Targeted Industrial Policies
we suggest adopting targeted industrial policies to attract 
investment in specific sectors with high wealth-creation 
potential. A thorough analysis of  comparative advantages 
can guide these policies.

Facilitate Technology Transfer
The importance of  technology transfer from foreign to 
local companies. Governments could consider incentives 
to encourage this transfer, thus contributing to the 
strengthening of  national technological capabilities.

Ensuring Social and Environmental Equity
The need to integrate social and environmental 
considerations into FDI policies, thus ensuring 
that investments contribute equitably to social and 
environmental well-being.

Maintain a Constant Watch on Global Trends
Governments need to keep abreast of  global trends in 
FDI and adjust their policies accordingly. Flexibility and 
adaptability are crucial to making the most of  investment 
opportunities.

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