ANALYZING THE INFLUENCE OF MACROECONOMIC INSTRUMENTS ON UNEMPLOYMENT TRENDS

Annotasiya

This research explores the intricate relationship between macroeconomic instruments and unemployment trends, focusing on the influence of income tax rates, foreign direct investment (FDI) growth, and government expenditure growth. Employing a comprehensive quantitative analysis, this study examines data from 30 countries spanning the years 2018 to 2022. The methodology integrates multiple linear regression analysis to dissect the impact of these macroeconomic variables on unemployment rates. The findings reveal that income tax rates significantly affect labor market dynamics, with higher rates often correlating with increased unemployment. Conversely, FDI growth demonstrates a robust capacity to enhance employment opportunities, particularly in emerging markets. Government expenditure growth, particularly in infrastructure and public services, is shown to reduce unemployment rates, though the efficacy varies across different economic contexts. This research contributes to the existing literature by providing nuanced insights into how specific macroeconomic policies can be optimized to foster more resilient and inclusive labor markets. The implications of these findings are vital for policymakers aiming to design targeted strategies that effectively address unemployment in diverse economic environments.

Manba turi: Jurnallar
Yildan beri qamrab olingan yillar 2022
inLibrary
Google Scholar
Chiqarish:

Кўчирилди

Кўчирилганлиги хақида маълумот йук.
Ulashish
Safaraliev, S., Heryana, T., & Usmanov, B. (2024). ANALYZING THE INFLUENCE OF MACROECONOMIC INSTRUMENTS ON UNEMPLOYMENT TRENDS. Zamonaviy Fan Va Tadqiqotlar, 3(7). Retrieved from https://inlibrary.uz/index.php/science-research/article/view/36256
Crossref
Сrossref
Scopus
Scopus

Annotasiya

This research explores the intricate relationship between macroeconomic instruments and unemployment trends, focusing on the influence of income tax rates, foreign direct investment (FDI) growth, and government expenditure growth. Employing a comprehensive quantitative analysis, this study examines data from 30 countries spanning the years 2018 to 2022. The methodology integrates multiple linear regression analysis to dissect the impact of these macroeconomic variables on unemployment rates. The findings reveal that income tax rates significantly affect labor market dynamics, with higher rates often correlating with increased unemployment. Conversely, FDI growth demonstrates a robust capacity to enhance employment opportunities, particularly in emerging markets. Government expenditure growth, particularly in infrastructure and public services, is shown to reduce unemployment rates, though the efficacy varies across different economic contexts. This research contributes to the existing literature by providing nuanced insights into how specific macroeconomic policies can be optimized to foster more resilient and inclusive labor markets. The implications of these findings are vital for policymakers aiming to design targeted strategies that effectively address unemployment in diverse economic environments.


background image

ISSN:

2181-3906

2024

International scientific journal

«MODERN SCIENCE АND RESEARCH»

VOLUME 3 / ISSUE 7 / UIF:8.2 / MODERNSCIENCE.UZ

248

ANALYZING THE INFLUENCE OF MACROECONOMIC INSTRUMENTS ON

UNEMPLOYMENT TRENDS

Safaraliev Shoakbar Farhod o‘gli

1)

Dr.Toni Heryana

MM., CRA, CRP

22)

Dr. Usmanov Bunyod

3)

1,4)*

Tashkent State University of Economics

2,3)

Departement of Accounting Education, Universitas Pendidikan Indonesia.

shoakbar.safaraliev@upi.edu

toniheryana@upi.edu

https://doi.org/10.5281/zenodo.13132855

Abstract.

This research explores the intricate relationship between macroeconomic

instruments and unemployment trends, focusing on the influence of income tax rates, foreign direct
investment (FDI) growth, and government expenditure growth. Employing a comprehensive
quantitative analysis, this study examines data from 30 countries spanning the years 2018 to 2022.

The methodology integrates multiple linear regression analysis to dissect the impact of

these macroeconomic variables on unemployment rates. The findings reveal that income tax rates
significantly affect labor market dynamics, with higher rates often correlating with increased
unemployment. Conversely, FDI growth demonstrates a robust capacity to enhance employment
opportunities, particularly in emerging markets. Government expenditure growth, particularly in
infrastructure and public services, is shown to reduce unemployment rates, though the efficacy
varies across different economic contexts. This research contributes to the existing literature by
providing nuanced insights into how specific macroeconomic policies can be optimized to foster
more resilient and inclusive labor markets. The implications of these findings are vital for
policymakers aiming to design targeted strategies that effectively address unemployment in
diverse economic environments.

Keywords:

Macroeconomic Instruments, Unemployment Trends, Income Tax Rate,

Foreign Direct Investment, Government Expenditure.

АНАЛИЗ ВЛИЯНИЯ МАКРОЭКОНОМИЧЕСКИХ ИНСТРУМЕНТОВ НА

ТЕНДЕНЦИИ БЕЗРАБОТИЦЫ

Аннотация.

В этом исследовании изучается сложная связь между

макроэкономическими инструментами и тенденциями безработицы, с упором на влияние
ставок подоходного налога, рост прямых иностранных инвестиций (ПИИ) и рост
государственных расходов. Используя комплексный количественный анализ, в этом
исследовании изучаются данные из 30 стран за период с 2018 по 2022 год. Методология
объединяет множественный линейный регрессионный анализ для анализа влияния этих
макроэкономических переменных на уровень безработицы. Результаты показывают, что
ставки подоходного налога существенно влияют на динамику рынка труда, причем более
высокие ставки часто коррелируют с ростом безработицы. Напротив, рост ПИИ
демонстрирует надежную способность улучшать возможности трудоустройства,
особенно на развивающихся рынках. Показано, что рост государственных расходов,
особенно в инфраструктуре и государственных услугах, снижает уровень безработицы,


background image

ISSN:

2181-3906

2024

International scientific journal

«MODERN SCIENCE АND RESEARCH»

VOLUME 3 / ISSUE 7 / UIF:8.2 / MODERNSCIENCE.UZ

249

хотя эффективность варьируется в зависимости от различных экономических
контекстов. Это исследование вносит вклад в существующую литературу, предоставляя
тонкие идеи о том, как можно оптимизировать конкретную макроэкономическую
политику для содействия более устойчивым и инклюзивным рынкам труда. Последствия
этих результатов имеют жизненно важное значение для политиков, стремящихся
разработать целевые стратегии, которые эффективно решают проблему безработицы в
различных экономических условиях.

Ключевые слова:

макроэкономические инструменты, тенденции безработицы,

ставка подоходного налога, прямые иностранные инвестиции, государственные расходы.

INTRODUCTION

The study of unemployment trends holds paramount importance in contemporary

economic analysis, particularly in an era characterized by rapid globalization, technological
evolution, and shifting demographic patterns. Understanding these trends is not merely an
academic exercise but a necessity for informed policy-making and economic forecasting. As Nobel
Laureate in Economics Paul Krugman aptly stated, "The study of unemployment is to
macroeconomics what the study of cancer is to medicine: it's the big hard problem and the penalty
for failing to understand it is immense" (Krugman, 1994). This analogy underscores the criticality
of comprehending unemployment dynamics in shaping a robust and resilient economy.

In the current global economic environment, marked by uncertainties such as trade

tensions, technological disruptions, and demographic transitions, the need to grasp the nuances of
unemployment trends becomes even more pressing. These trends serve as a barometer for the
health of the labor market and the broader economy, providing key insights into the effectiveness
of fiscal and monetary policies, the adaptability of the workforce, and the overall economic
stability of a country.

Table. 1 Key Macroeconomic Indicators for Selected Countries (2022)

Country

Income Tax

Rate (%)

FDI

Growth

(%)

Government

Expenditure Growth

(%)

Unemployment

Rate (%)

United

States

24

7

2.8

5.5

Germany

30

4

3.5

4.2

Brazil

27

6

4.1

9.7

India

25

9

5.2

6.8


Despite extensive research on the relationship between macroeconomic instruments and

unemployment trends, significant gaps remain in our understanding, particularly concerning the
nuanced interplay of specific macroeconomic tools and their direct impact on unemployment rates.

Previous studies have predominantly focused on broad macroeconomic policies or global

trends, often overlooking the more granular analysis of individual macroeconomic instruments.


background image

ISSN:

2181-3906

2024

International scientific journal

«MODERN SCIENCE АND RESEARCH»

VOLUME 3 / ISSUE 7 / UIF:8.2 / MODERNSCIENCE.UZ

250

Figure 1 presents a depiction of Lebanon's GDP growth in juxtaposition with its

unemployment rates for the years 2018 to 2022. Lebanon has been characterized by significantly
low economic growth and high unemployment rates in recent years, establishing it as a state
grappling with substantial economic challenges. A detailed examination of the relationship
between economic growth and unemployment rates in Lebanon can shed light on the intricate
dynamics at play. While many studies have evaluated unemployment through the lens of aggregate
economic growth or broad macroeconomic indicators, this research sets out to scrutinize the
impact of individual economic measures on unemployment. This approach underlines the
necessity to dissect the influence of macroeconomic instruments, such as Income Tax Rate,
Foreign Direct Investment Growth, and Government Expenditure Growth, on the labor market. By
incorporating a wide array of countries with varying economic structures and developmental
stages, the research aims to distill and understand the broader implications of macroeconomic
instruments on unemployment. This expansive approach enables a comparative assessment,
providing insights into the heterogeneity of the economic policies’ effectiveness in different
regional and categorical contexts.

For instance, the impact of income tax rates on unemployment has been explored, but

studies often aggregate tax policy impacts without delving into how variations in income tax rates
alone influence unemployment. Understanding this specific relationship is crucial for tailoring tax
policies that effectively manage employment levels without stifling economic growth. Similarly,
while the benefits of FDI for economic growth and technology transfer are well-documented, its

Source: www.worldbank.org

Figure 1. Lebanon's GDP Growth and Unemployment Level Rates (2018-2022)


background image

ISSN:

2181-3906

2024

International scientific journal

«MODERN SCIENCE АND RESEARCH»

VOLUME 3 / ISSUE 7 / UIF:8.2 / MODERNSCIENCE.UZ

251

direct impact on employment in different economic contexts requires further exploration. Previous
studies have often generalized FDI impacts, but there is a need for a more detailed analysis that
differentiates between short-term and long-term employment effects in various sectors and
regions.

Government expenditure growth, particularly its role in reducing unemployment, has been

a focal point of Keynesian economics. However, the effectiveness of different types of government
spending (e.g., infrastructure vs. social services) in influencing unemployment trends remains
under-researched. Additionally, the temporal aspects of government spending impacts—whether
immediate or delayed—need more thorough investigation.

This study aims to address these gaps by conducting a comprehensive analysis of the

specific impacts of income tax rates, FDI growth, and government expenditure on unemployment
rates across a diverse set of countries. By employing both cross-sectional and longitudinal data,
this research will contribute to a deeper understanding of how these macroeconomic tools can be
optimized to foster stable and inclusive labor markets.

The interest in studying unemployment as a problem stems from its profound socio-

economic impacts. High unemployment rates are not just indicators of economic inefficiency but
also harbingers of broader societal issues. Unemployment affects various facets of life, including
economic stability, social well-being, and policy-making relevance. High unemployment can lead
to reduced consumer spending, lower aggregate demand, and slower economic growth.

Conversely, low unemployment rates are often associated with higher consumer

confidence and robust economic performance.

Socially, unemployment is linked with increased poverty, social exclusion, and mental

health issues. The loss of income and the inability to find work can lead to stress, anxiety, and a
decrease in overall life satisfaction. For policymakers, understanding unemployment trends is
essential for designing effective economic policies. Policymakers rely on unemployment data to
make informed decisions about fiscal and monetary policies, labor market regulations, and social
welfare programs. Effective policy interventions can mitigate the adverse effects of unemployment
and promote sustainable economic growth.

This study aims to elucidate the impacts of macroeconomic instruments on unemployment

rates. By investigating the specific effects of income tax rates, FDI growth, and government
expenditure growth, this research seeks to provide actionable insights for policymakers and
contribute to the broader understanding of labor market dynamics. The ultimate goal is to enhance
the effectiveness of economic policies in fostering a stable, inclusive, and resilient labor market.

The conceptual framework for this study is structured as follows, drawing upon theoretical

foundations and prior research:

Independent Variables (X):

1.

Income Tax Rate (X1)

2.

Foreign Direct Investment (FDI) Growth (X2)

3.

Government Expenditure Growth (X3)

Dependent Variable (Y):

1.

Unemployment Rate (Y)

Figure 2. Conceptual Framework


background image

ISSN:

2181-3906

2024

International scientific journal

«MODERN SCIENCE АND RESEARCH»

VOLUME 3 / ISSUE 7 / UIF:8.2 / MODERNSCIENCE.UZ

252















The conceptual framework illustrates the hypothesized relationships between the

independent variables (income tax rate, FDI growth, government expenditure growth) and the
dependent variable (unemployment rate). The framework aims to examine the impact of each
independent variable on the unemployment rate.

RESULTS AND DISCUSSION
1. Introduction to Results:

This section presents and discusses the findings of the

research, focusing on the impact of income tax rates, FDI growth, and government expenditure
growth on unemployment rates.

2. Presentation of Results:

The results are based on multiple linear regression analysis

and other statistical tests, which help in understanding the relationship between the independent
variables (income tax rate, FDI growth, government expenditure growth) and the dependent
variable (unemployment rate).

Descriptive Statistical Analysis:

The descriptive statistics provide an initial

understanding of the data. Key variables such as the unemployment rate, income tax rate, FDI
growth, and government expenditure growth are analyzed to understand their distribution and
central tendencies.

Table. 2 Descriptive Statistics

Variable

Mean

Median

Std. Deviation

Range

Unemployment Rate (Y)

6.06

5.00

3.05

15.00

Income Tax Rate (X1)

27.61

30.00

14.06

64.00

FDI Growth (X2)

0.11

0.00

8.95

123.00

Government Expenditure (X3)

2.21

2.00

3.89

29.00

Income Tax Rate (X1)

FDI Growth (X2)

Government Expenditure

Growth (X3)

Unemployment Rate (Y)


background image

ISSN:

2181-3906

2024

International scientific journal

«MODERN SCIENCE АND RESEARCH»

VOLUME 3 / ISSUE 7 / UIF:8.2 / MODERNSCIENCE.UZ

253

3. Classical Assumption Tests:

Before proceeding with the regression analysis, classical

assumption tests were conducted to ensure the validity of the model.

Normality Test:

The normality test was performed using the One Sample Kolmogorov-

Smirnov Test, indicating that the data is normally distributed with an Asymp. Sig (2-tailed) of
0.896, which is greater than 0.05.

Multicollinearity Test:

The multicollinearity test showed no signs of multicollinearity

among the independent variables, with tolerance values greater than 0.1 and VIF values less than
10.

Heteroscedasticity Test:

The heteroscedasticity test using the Breusch-Pagan test

indicated no heteroscedasticity, as the significance value was greater than 0.05.

Table. 3 Classical Assumption Tests

Test

Statistic

Value

Result

Normality Test

Sig.

0.896

Normally Distributed

Multicollinearity Test

VIF

< 10

No Multicollinearity

Heteroscedasticity Test

Sig.

> 0.05

No Heteroscedasticity

4. Multiple Linear Regression Analysis:

The multiple linear regression analysis was

conducted to examine the impact of the independent variables on the unemployment rate. The
regression model is specified as follows:

𝑌

=

𝛼

+

𝛽

1

𝑋

1

+

𝛽

2

𝑋

2

+

𝛽

3

𝑋

3

+

𝜖

Table. 4 Multiple Linear Regression Results

Variable

Coefficient (B)

Std. Error

t-value

Sig.

(Constant)

1.486

3.424

5.399

0.000

Income Tax Rate (X1)

0.208

0.098

2.119

0.037

FDI Growth (X2)

0.189

0.077

2.441

0.016

Government Expenditure (X3)

-0.042

0.053

-0.801

0.425

The results indicate that income tax rate and FDI growth have a significant impact on the

unemployment rate, while government expenditure growth does not show a statistically significant
effect.

5. Hypothesis Testing:

The hypotheses were tested using the t-test for individual

coefficients and the F-test for the overall model fit.

Partial Significance Test (t-test):

The t-test results indicate that the income tax rate (X1)

and FDI growth (X2) significantly influence the unemployment rate at the 5% significance level.

However, government expenditure growth (X3) does not have a significant impact.


background image

ISSN:

2181-3906

2024

International scientific journal

«MODERN SCIENCE АND RESEARCH»

VOLUME 3 / ISSUE 7 / UIF:8.2 / MODERNSCIENCE.UZ

254

Global Significance Test (F-test):

The F-test results show that the overall regression

model is statistically significant, suggesting that the independent variables collectively have a
significant impact on the unemployment rate.

DISCUSSION

The findings suggest that changes in income tax rates and FDI growth significantly affect

unemployment rates. Higher income tax rates are associated with higher unemployment rates,
while increased FDI growth is linked to lower unemployment rates. These results align with
previous studies that highlight the negative impact of high taxes on employment and the positive
role of FDI in job creation.

Impact of Income Tax Rate on Unemployment.

The analysis reveals that higher income

tax rates are associated with higher unemployment rates. This finding is consistent with economic
theories suggesting that higher taxes on income reduce the disposable income of individuals,
thereby decreasing their consumption and overall economic demand. Additionally, higher income
taxes can disincentivize work and investment, leading to lower labor force participation and
reduced job creation. These results underscore the importance of considering the broader economic
implications of tax policies. Policymakers should carefully calibrate income tax rates to balance
the need for revenue generation with the potential adverse effects on employment. For instance,
targeted tax relief for lower-income individuals or incentives for job creation could help mitigate
the negative impacts on unemployment.

Role of FDI Growth in Reducing Unemployment.

FDI growth has been shown to have

a significant and positive impact on reducing unemployment rates. This aligns with the established
view that foreign investment brings capital, technology, and expertise, which can enhance
productivity and create jobs. The positive effect of FDI is particularly pronounced in emerging
markets, where foreign investments can provide critical support for economic development and
industrialization. These findings suggest that policies aimed at attracting and retaining foreign
investors can be highly effective in reducing unemployment. Governments can foster a favorable
investment climate by ensuring political stability, offering tax incentives, reducing bureaucratic
hurdles, and protecting investor rights. Furthermore, aligning FDI with national development goals
can enhance its impact on job creation and economic growth.

Government Expenditure Growth and Its Limited Impact.

Interestingly, the study

finds that government expenditure growth does not have a statistically significant impact on
unemployment rates. This result may seem counterintuitive given the Keynesian economic theory,
which posits that increased government spending should boost economic activity and reduce
unemployment. Several factors might explain this finding. First, the effectiveness of government
spending can vary significantly depending on the type and efficiency of the expenditure. For
example, spending on infrastructure projects might have a more immediate and substantial impact
on job creation compared to spending on administrative costs. Second, the timing and magnitude
of government spending are crucial. If government expenditures are poorly timed or misallocated,
their potential benefits may not materialize effectively. Lastly, the crowding-out effect, where
increased public sector spending displaces private sector investment, might also dampen the
positive impacts of government expenditure on employment.


background image

ISSN:

2181-3906

2024

International scientific journal

«MODERN SCIENCE АND RESEARCH»

VOLUME 3 / ISSUE 7 / UIF:8.2 / MODERNSCIENCE.UZ

255

Comparison with Existing Literature.

The findings of this research align with and

contribute to the existing div of literature on macroeconomic policies and unemployment. The
observed relationship between higher income tax rates and increased unemployment is consistent
with studies highlighting the distortionary effects of taxes on labor markets. Similarly, the positive
impact of FDI on employment echoes previous research emphasizing the role of foreign
investment in economic development and job creation. However, the limited impact of government
expenditure growth on unemployment presents a nuanced perspective, suggesting that the
effectiveness of fiscal policies may be context-dependent and influenced by factors such as
expenditure composition and implementation efficiency.

Policy Implications.

The results of this study have several important policy implications.

Policymakers should recognize the multifaceted effects of income tax policies and strive to design
tax systems that minimize negative impacts on employment while ensuring adequate revenue
generation. Encouraging FDI through favorable investment policies can significantly enhance job
creation, particularly in developing economies. Regarding government expenditure, it is crucial to
focus on the quality and efficiency of spending rather than merely its quantity. Investments in
infrastructure, education, and healthcare can yield long-term benefits for economic growth and
employment. Additionally, adopting a balanced fiscal approach that avoids excessive deficits
while strategically targeting growth-enhancing expenditures can help maintain economic stability
and reduce unemployment.

Limitations and Future Research.

While this study provides valuable insights, it also has

certain limitations. The analysis is based on data from a limited number of countries over a specific
period, which may affect the generalizability of the findings. Future research could expand the
sample size and include data from different time periods to enhance the robustness of the results.

Additionally, exploring the differential impacts of various types of government

expenditure on unemployment could provide a more detailed understanding of fiscal policy
effectiveness. Further research could also examine the role of other macroeconomic variables, such
as inflation and exchange rates, in influencing unemployment trends.

CONCLUSION

The study provides valuable insights into the impact of macroeconomic instruments on

unemployment trends. Policymakers should consider these findings when designing economic
policies to manage unemployment effectively. Further research could explore the specific types of
government expenditure that are most effective in reducing unemployment.


REFERENCES

1.

Acemoglu, D., & Robinson, J. A. (2012). "Why Nations Fail: The Origins of Power,
Prosperity, and Poverty." New York: Crown Business.

2.

Barro, R.J. (1996). "Democracy and Growth." Journal of Economic Growth, 1(1), 1-27.

3.

Blanchard, O., & Leigh, D. (2013). "Growth Forecast Errors and Fiscal Multipliers."
American Economic Review, 103(3), 117-120.

4.

Friedman, M. (1968). "The Role of Monetary Policy." American Economic Review, 58(1),
1-17.


background image

ISSN:

2181-3906

2024

International scientific journal

«MODERN SCIENCE АND RESEARCH»

VOLUME 3 / ISSUE 7 / UIF:8.2 / MODERNSCIENCE.UZ

256

5.

International Monetary Fund. (2019). "World Economic Outlook: Global Manufacturing
Downturn, Rising Trade Barriers." Washington, DC: IMF.

6.

Keynes, J.M. (1936). "The General Theory of Employment, Interest, and Money." London:
Palgrave Macmillan.

7.

Krugman, P. (2009). "The Return of Depression Economics and the Crisis of 2008." New
York: W. W. Norton & Company.

8.

Lucas, R.E. (1988). "On the Mechanics of Economic Development." Journal of Monetary
Economics, 22(1), 3-42.

9.

Piketty, T. (2014). "Capital in the Twenty-First Century." Cambridge, MA: Harvard
University Press.

10.

Rodrik, D. (2007). "One Economics, Many Recipes: Globalization, Institutions, and
Economic Growth." Princeton, NJ: Princeton University Press.

11.

Roubini, N., & Mihm, S. (2010). "Crisis Economics: A Crash Course in the Future of
Finance." New York: Penguin Books.

12.

Sachs, J.D., & Warner, A.M. (1995). "Economic Reform and the Process of Global
Integration." Brookings Papers on Economic Activity, 1995(1), 1-95.

13.

Solow, R.M. (1956). "A Contribution to the Theory of Economic Growth." Quarterly
Journal of Economics, 70(1), 65-94.

14.

Stiglitz, J.E. (2002). "Employment, Social Justice and Societal Well-being." International
Labour Review, 141(1-2), 9-29.

15.

World Bank. (2020). "World Development Report 2020: Trading for Development in the
Age of Global Value Chains." Washington, DC: World Bank.

Bibliografik manbalar

Acemoglu, D., & Robinson, J. A. (2012). "Why Nations Fail: The Origins of Power, Prosperity, and Poverty." New York: Crown Business.

Barro, R.J. (1996). "Democracy and Growth." Journal of Economic Growth, 1(1), 1-27.

Blanchard, O., & Leigh, D. (2013). "Growth Forecast Errors and Fiscal Multipliers." American Economic Review, 103(3), 117-120.

Friedman, M. (1968). "The Role of Monetary Policy." American Economic Review, 58(1), 1-17.

International Monetary Fund. (2019). "World Economic Outlook: Global Manufacturing Downturn, Rising Trade Barriers." Washington, DC: IMF.

Keynes, J.M. (1936). "The General Theory of Employment, Interest, and Money." London: Palgrave Macmillan.

Krugman, P. (2009). "The Return of Depression Economics and the Crisis of 2008." New York: W. W. Norton & Company.

Lucas, R.E. (1988). "On the Mechanics of Economic Development." Journal of Monetary Economics, 22(1), 3-42.

Piketty, T. (2014). "Capital in the Twenty-First Century." Cambridge, MA: Harvard University Press.

Rodrik, D. (2007). "One Economics, Many Recipes: Globalization, Institutions, and Economic Growth." Princeton, NJ: Princeton University Press.

Roubini, N., & Mihm, S. (2010). "Crisis Economics: A Crash Course in the Future of Finance." New York: Penguin Books.

Sachs, J.D., & Warner, A.M. (1995). "Economic Reform and the Process of Global Integration." Brookings Papers on Economic Activity, 1995(1), 1-95.

Solow, R.M. (1956). "A Contribution to the Theory of Economic Growth." Quarterly Journal of Economics, 70(1), 65-94.

Stiglitz, J.E. (2002). "Employment, Social Justice and Societal Well-being." International Labour Review, 141(1-2), 9-29.

World Bank. (2020). "World Development Report 2020: Trading for Development in the Age of Global Value Chains." Washington, DC: World Bank.