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The Impact of Entrepreneurship on Poverty Reduction

Authors:
  • Kimyo Internatioal University in Tashkent

Abstract

ARTICLE INFO ABSTRACT Purpose: The main purpose of this research is to analyze how entrepreneurship and entrepreneurship development incentives can influence the reduction of poverty and help to improve the entrepreneurship environment in world countries. Theoretical Framework: The study of the role of entrepreneurship in reducing poverty has become a major source of interest for scholars and policymakers around the world. A few studies have been conducted by scientists to study the impact of entrepreneurship on poverty reduction. Scholars in fields such as economics and management have tried to explore different approaches in this area and identify the relationships between entrepreneurship and poverty reduction. Design/Methodology/Approach: In this study, we use a deductive approach, in which the hypotheses are tested for application across countries. The quantitative method has been used for this approach. The Panel Fixed Effects model has been employed to assess the impact of entrepreneurship and entrepreneurship development incentives on poverty. Findings: Overall, the results showed that entrepreneurship in countries around the world has a positive and significant impact on poverty reduction. In addition, entrepreneurship development incentives increase the efficiency and capacity of entrepreneurial activities to reduce poverty. Research, Practical & Social implications: This study not only helps to fill the gap in the literature on this topic, but also serves as a model of economic and social development for developed, developing and less developed countries. Originality/value: This is a new study using changes in the HDI to measure poverty reduction, providing a broader and more comparative indicator that answers research questions. This research supports the claim that entrepreneurial activity has impact on poverty eradication and improving human development and people's quality of life. Also, it demonstrates the strong relationship between entrepreneurship and poverty alleviation. RESUMO Objetivo: O principal objetivo desta pesquisa é analisar como o empreendedorismo e os incentivos ao desenvolvimento do empreendedorismo podem influenciar na redução da pobreza e ajudar a melhorar o ambiente de empreendedorismo nos países do mundo. Referencial teórico: O estudo do papel do empreendedorismo na redução da pobreza tornou-se uma importante fonte de interesse para acadêmicos e formuladores de políticas em todo o mundo. Alguns estudos foram conduzidos por cientistas para estudar o impacto do empreendedorismo na redução da pobreza. Estudiosos de áreas como economia e administração tentaram explorar diferentes abordagens nessa área e identificar as relações entre o empreendedorismo e a redução da pobreza. Desenho/metodologia/abordagem: Neste estudo, usamos uma abordagem dedutiva, na qual as hipóteses são testadas para aplicação em vários países. O método quantitativo tem sido utilizado para esta abordagem. O modelo de Painel de Efeitos Fixos foi empregado para avaliar o impacto do empreendedorismo e dos incentivos ao desenvolvimento do empreendedorismo sobre a pobreza. Resultados: No geral, os resultados mostraram que o empreendedorismo em países ao redor do mundo tem um impacto positivo e significativo na redução da pobreza. Além disso, os incentivos ao desenvolvimento do empreendedorismo aumentam a eficiência e a capacidade das atividades empreendedoras para reduzir a pobreza. Pesquisa, implicações práticas e sociais: Este estudo não só ajuda a preencher a lacuna na literatura sobre este tema, mas também serve como um modelo de desenvolvimento econômico e social para países desenvolvidos, em desenvolvimento e menos desenvolvidos. Originalidade/valor: Este é um novo estudo que usa mudanças no IDH para medir a redução da pobreza, fornecendo um indicador mais amplo e comparativo que responde a questões de pesquisa. Esta pesquisa corrobora a afirmação de que a atividade empreendedora tem impacto na erradicação da pobreza e na melhoria do desenvolvimento humano e da qualidade de vida das pessoas. Além disso, demonstra a forte relação entre empreendedorismo e redução da pobreza. Palavras-chave: Empreendedorismo, Pobreza, Índice de Desenvolvimento Humano, Desenvolvimento Econômico, Atividade Empreendedora. EL IMPACTO DEL ESPÍRITU EMPRESARIAL EN LA REDUCCIÓN DE LA POBREZA RESUMEN Propósito: El propósito principal de esta investigación es analizar cómo el espíritu empresarial y los incentivos para el desarrollo empresarial pueden influir en la reducción de la pobreza y ayudar a mejorar el entorno empresarial en los países del mundo. Metodología: En este estudio, utilizamos un enfoque deductivo, en el que las hipótesis se prueban para su aplicación en todos los países. Para este enfoque se ha utilizado el método cuantitativo. El modelo de Panel de Efectos Fijos se ha empleado para evaluar el impacto de la iniciativa empresarial y los incentivos para el desarrollo empresarial en la pobreza. Conclusiones: En general, los resultados mostraron que el espíritu empresarial en países de todo el mundo tiene un impacto positivo y significativo en la reducción de la pobreza. Además, los incentivos para el desarrollo empresarial aumentan la eficiencia y la capacidad de las actividades empresariales para reducir la pobreza. Implicaciones de la Investigación: Este estudio no solo ayuda a llenar el vacío en la literatura sobre este tema, sino que también sirve como modelo de desarrollo económico y social para países desarrollados, en desarrollo y menos desarrollados.
Intern. Journal of Profess. Bus. Review. |Miami, v. 8 | n. 3| p. 01-19 | e01012 | 2023.
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THE IMPACT OF ENTREPRENEURSHIP ON POVERTY REDUCTION
Ostonokulov Azamat
A
, Sattoriy Fayzullokh
B
, Abdullayeva Nilufar
C
ARTICLE INFO
ABSTRACT
Purpose: The main purpose of this research is to analyze how entrepreneurship and
entrepreneurship development incentives can influence the reduction of poverty and
help to improve the entrepreneurship environment in world countries.
Theoretical Framework: The study of the role of entrepreneurship in reducing
poverty has become a major source of interest for scholars and policymakers around
the world. A few studies have been conducted by scientists to study the impact of
entrepreneurship on poverty reduction. Scholars in fields such as economics and
management have tried to explore different approaches in this area and identify the
relationships between entrepreneurship and poverty reduction.
Design/Methodology/Approach: In this study, we use a deductive approach, in
which the hypotheses are tested for application across countries. The quantitative
method has been used for this approach. The Panel Fixed Effects model has been
employed to assess the impact of entrepreneurship and entrepreneurship development
incentives on poverty.
Findings: Overall, the results showed that entrepreneurship in countries around the
world has a positive and significant impact on poverty reduction. In addition,
entrepreneurship development incentives increase the efficiency and capacity of
entrepreneurial activities to reduce poverty.
Research, Practical & Social implications: This study not only helps to fill the gap
in the literature on this topic, but also serves as a model of economic and social
development for developed, developing and less developed countries.
Originality/value: This is a new study using changes in the HDI to measure poverty
reduction, providing a broader and more comparative indicator that answers research
questions. This research supports the claim that entrepreneurial activity has impact on
poverty eradication and improving human development and people’s quality of life.
Also, it demonstrates the strong relationship between entrepreneurship and poverty
alleviation.
Doi: https://doi.org/10.26668/businessreview/2023.v8i3.1012
Article history:
Received 13 January 2023
Accepted 07 March 2023
Keywords:
Entrepreneurship;
Poverty;
Human Development Index;
Economic Development;
Entrepreneurial Activity.
A
DSc, Associate Professor of “Budget Accounting and Treasury” Department, Tashkent Institute of Finance,
100000 A. Temur Street 60A, Tashkent Uzbekistan. E-mail: prof.ostonokulov@gmail.com
Orcid: https://orcid.org/0000-0003-2792-3174
B
Ph.D. student., Senior Teacher of “Finance” Department. Kimyo International University in Tashkent. 100121
Usman Nasyr Street 156, Tashkent, Uzbekistan. E-mail: sattoriy.fayz97@gmail.com
Orcid: https://orcid.org/0000-0001-8263-9147
C
Senior Teacher of “Budget Accounting and Treasury” Department. Tashkent Institute of Finance. 100000 A.
Temur Street 60A, Tashkent Uzbekistan. E-mail: abdullayevan9383@gmail.com
Orcid: https://orcid.org/0000-0001-7456-7403
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
O IMPACTO DO EMPREENDEDORISMO NA REDUÇÃO DA POBREZA
RESUMO
Objetivo: O principal objetivo desta pesquisa é analisar como o empreendedorismo e os incentivos ao
desenvolvimento do empreendedorismo podem influenciar na redução da pobreza e ajudar a melhorar o ambiente
de empreendedorismo nos países do mundo.
Referencial teórico: O estudo do papel do empreendedorismo na redução da pobreza tornou-se uma importante
fonte de interesse para acadêmicos e formuladores de políticas em todo o mundo. Alguns estudos foram
conduzidos por cientistas para estudar o impacto do empreendedorismo na redução da pobreza. Estudiosos de
áreas como economia e administração tentaram explorar diferentes abordagens nessa área e identificar as relações
entre o empreendedorismo e a redução da pobreza.
Desenho/metodologia/abordagem: Neste estudo, usamos uma abordagem dedutiva, na qual as hipóteses são
testadas para aplicação em vários países. O método quantitativo tem sido utilizado para esta abordagem. O modelo
de Painel de Efeitos Fixos foi empregado para avaliar o impacto do empreendedorismo e dos incentivos ao
desenvolvimento do empreendedorismo sobre a pobreza.
Resultados: No geral, os resultados mostraram que o empreendedorismo em países ao redor do mundo tem um
impacto positivo e significativo na redução da pobreza. Além disso, os incentivos ao desenvolvimento do
empreendedorismo aumentam a eficiência e a capacidade das atividades empreendedoras para reduzir a pobreza.
Pesquisa, implicações práticas e sociais: Este estudo não só ajuda a preencher a lacuna na literatura sobre este
tema, mas também serve como um modelo de desenvolvimento econômico e social para países desenvolvidos, em
desenvolvimento e menos desenvolvidos.
Originalidade/valor: Este é um novo estudo que usa mudanças no IDH para medir a redução da pobreza,
fornecendo um indicador mais amplo e comparativo que responde a questões de pesquisa. Esta pesquisa corrobora
a afirmação de que a atividade empreendedora tem impacto na erradicação da pobreza e na melhoria do
desenvolvimento humano e da qualidade de vida das pessoas. Além disso, demonstra a forte relação entre
empreendedorismo e redução da pobreza.
Palavras-chave: Empreendedorismo, Pobreza, Índice de Desenvolvimento Humano, Desenvolvimento
Econômico, Atividade Empreendedora.
EL IMPACTO DEL ESPÍRITU EMPRESARIAL EN LA REDUCCIÓN DE LA POBREZA
RESUMEN
Propósito: El propósito principal de esta investigación es analizar cómo el espíritu empresarial y los incentivos
para el desarrollo empresarial pueden influir en la reducción de la pobreza y ayudar a mejorar el entorno
empresarial en los países del mundo.
Metodología: En este estudio, utilizamos un enfoque deductivo, en el que las hipótesis se prueban para su
aplicación en todos los países. Para este enfoque se ha utilizado el método cuantitativo. El modelo de Panel de
Efectos Fijos se ha empleado para evaluar el impacto de la iniciativa empresarial y los incentivos para el desarrollo
empresarial en la pobreza.
Conclusiones: En general, los resultados mostraron que el espíritu empresarial en países de todo el mundo tiene
un impacto positivo y significativo en la reducción de la pobreza. Además, los incentivos para el desarrollo
empresarial aumentan la eficiencia y la capacidad de las actividades empresariales para reducir la pobreza.
Implicaciones de la Investigación: Este estudio no solo ayuda a llenar el vacío en la literatura sobre este tema,
sino que también sirve como modelo de desarrollo económico y social para países desarrollados, en desarrollo y
menos desarrollados.
Palabras clave: Emprendimiento, Pobreza, Índice de Desarrollo Humano, Desarrollo Económico, Actividad
Emprendedora.
INTRODUCTION
Poverty reduction has become a key economic and political goal for many governments
and international organizations of the world countries as it is important for the overall well-
being of society. Although the absolute number of poor people has declined significantly over
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
the past thirty years, poverty reduction policies and programs remain one of the most relevant
among the economic and social development programs of states and other international
organizations. According to World Bank statistics, the poverty rate has declined from 1985 to
2020. But the global COVID-19 pandemic, which began in 2020, has had a negative impact on
the economic and social life of countries around the world and has led to an increase in the
number of poor people in countries (World Bank, 2020). Governments, international financial
institutions, and NGOs have been working hard for many years to reduce the number of poor
people in countries and improve the living standards of the population. A number of poverty
reduction programs have been implemented by the World Bank, the United Nations, and other
major organizations, and these programs have been contributing to poverty reduction for a long
time. Despite these improvements, extreme poverty still exists in various parts of developed,
developing, and underdeveloped countries. As reported by the Global Multidimensional
Poverty Index GMPI (2021), across 107 developing and underdeveloped countries, 1.3 billion
people live in multidimensional poverty.
These indicators have led to discussions about the need to analyze, investigate and
develop effective mechanisms to combat and alleviate poverty, and therefore poverty
alleviation is one of the current issues of the world countries. Besides, it is considered the first
goal among the UN Sustainable Development Goals (Sachs, et al., 2021).
Each country strives to improve the financial well-being of its people and studies the
effectiveness of a number of indicators to achieve this goal. This paper examines and discusses
entrepreneurship and entrepreneurship development incentives and their impact on poverty
reduction by comparing countries in terms of income levels: high-income, high-middle-income,
middle-income, and low-income countries by the United Nations Development Program
(2020). To achieve our goals, World Bank data for entrepreneurship (entrepreneurial activities,
entrepreneurship development incentives, and other control factors) and Human Development
Index (as a measurement of poverty) of the period of 2016 to 2020 have been used and analyzed
for the different income level of countries of UNDP.
This research will be conducted to identify factors that are directly related to ease of
doing business and creating a good business environment, which in turn helps a person become
an entrepreneur.
In this context, we can see entrepreneurship as a tool to help reduce poverty. Because
entrepreneurship helps to create new jobs in the country, increase the income of the population,
introduce new innovations for enhancing production efficiency and improve the socio-
economic development of the country. And as a result, it contributes to the reduction of the
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
number of poor people living in the country. Moreover, the role of entrepreneurship
development incentives, which increases entrepreneurial opportunities, is very important in
creating a favorable business environment for entrepreneurs. The main purpose of this research
is to analyze how entrepreneurship and entrepreneurship development incentives can influence
to reduce poverty and help to improve the entrepreneurship environment in the world countries.
LITERATURE REVIEW
The problem of poverty
Poverty is a major obstacle and problem facing people in the world. As reported by the
Global Multidimensional Poverty Index GMPI (2021), across 107 developing and
underdeveloped countries, 1.3 billion people live in multidimensional poverty.
The concept of poverty consists of material deprivation (i.e. food, shelter) and limited
access to basic services (i.e. health, education). Now it tends to cover a number of intangible
conditions such as lack of rights, insecurity, vulnerability, and discrimination. The combination
of these two types of conditions serves to give us a fuller understanding of poverty. It can also
make it difficult to measure and assess the effectiveness of poverty measurement and poverty
reduction measures. Even a sufficient definition is difficult to find, and many policy statements
prefer to describe the essence of poverty rather than a clear definition (Vandenberg, P., &
Creation, J., 2006).
Many scientists have studied the influential factors on poverty. Arshed et al., (2017)
have tried to explain that family size, level of education and job characteristics cause people to
be poor.
According to Singer (2006), “Poverty means lack of money, goods and services”. He
says that the best way to alleviate poverty and help people is to give them access to basic human
capital, namely education, health care and shelter. Also, he argues that this opportunity can be
achieved through entrepreneurship, starting a new business.
Poverty is defined as the lack of a basic level of human needs such as shelter and
sanitation, food, education, health facilities, clean drinking water, etc. (Sultan, D. F., Ahmad,
J., Khan, A. S., & Rahman, R. U., 2018).
Based on the World Bank’s statement on the concept of poverty: Poverty is hunger.
Poverty is a lack of shelter. Poverty is a lack of access to basic services (health, education, water
supply, sanitation). Poverty is not finding a job, fear for the future (World Bank, 2009).
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
The definition of poverty term in developed countries differs from that used in
developing countries. For instance, poverty in developing countries means “no housing, no
food, no medical and educational facilities” (Singer, 2006).
Lammam and Maclntyre (2016) attempted to define poverty in developed countries with
two ways: “The level of resources needed to meet the basic needs of the family” and “A
situation in which one person is in a worse position than other members of society”.
Moreover, in some literatures poverty is defined in a partially limited way, especially in
developed and developing countries, poverty is as the lack of income or financial resources to
meet people’s basic needs (Amorós, José Ernesto, and Oscar Cristi, 2011).
Different views and definitions of poverty mean that poverty is not only a
multidimensional but also a dynamic situation in world countries.
The Concept of Entrepreneurship
Entrepreneurship is a specific type of economic activity that is understood as a targeted
activity aimed at making a profit based on the idea of self-initiative, responsibility and
innovative entrepreneurship. The economic activity of an entrepreneur is a form of his/her
participation in socio-economic production and in this way to make a profit to meet their and
family members’ interests and needs.
There is no generally accepted definition of entrepreneurship in the world today. One
of the researchers Ahlin et al. (2014) argue that entrepreneurship is the process of creating
something new that is worthwhile, and an entrepreneur who spends valuable time and effort on
it, assumes all financial, psychological, and social risks, and thus receives money and
satisfaction as a reward. In his article, Ahlin (2014) attempted to analyze entrepreneurship and
entrepreneurship from economic, psychological, managerial, and other perspectives.
Renko et al. (2015) consider that an individual entrepreneur who is an independent
decision-maker who runs the business at his own expense manages it and takes personal
responsibility for providing it with the necessary funds. The success of this activity is the
financial benefit received as a result of entrepreneurial activity and the feeling of satisfaction
from doing business. At the same time, Renkoet et al. (2015) argues that an entrepreneur has to
bear all the risk of loss in the event of bankruptcy.
Coulter (2001) described entrepreneurship as an activity of identifying opportunities,
creating resources, creating innovations, and meeting the needs of those opportunities.
Similarly, according to Adenutsi (2009), “Entrepreneurship is the process of identifying
an initiative or business opportunity and economic resources for profit”. This process helps the
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
entrepreneur to develop the business to make a profit using this situation and resources. In the
business process, an entrepreneur needs to focus on innovation, initiative that help create a
steady cash flow over the long term
Some sample definitions highlighted by Landstrom (2007) are given in Table 1.
Table 1. Definitions of Entrepreneurship
Author
Definition
Drucker (1985)
Entrepreneurship is an innovative act that involves empowering existing resources with new
opportunities to create wealth.
Stevenson and
Entrepreneurship is the process by which people seek and seize opportunities regardless of
the resources they control currently.
Gumpert (1985)
Gartner (1988)
Entrepreneurship is the process of creating organizations, providing employment, and
making profit.
Timmons (2004)
Entrepreneurship is an opportunity-based, holistic approach and leadership activity and a
way to act for profit.
Shane, S., &
Venkataraman, S.
(2000).
Entrepreneurship is the process of finding, creating and exploiting opportunities to profit,
how, by whom, and what consequences of future goods and services.
Source: Landstrom (2007)
Relationship between Entrepreneurial Activity and Poverty
A few studies have been conducted by scientists to study the impact of entrepreneurship
on poverty reduction. Scholars in fields such as economics and management have tried to
explore different approaches in this area and identify the relationships between
entrepreneurship and poverty reduction.
Minniti (2013) has studied the relationship between entrepreneurship and poverty.
According to Minniti, typically, low-income or poor people in developing countries are turning
to small-scale businesses for self-employment that can improve their standard of living.
According to Cristi and Amoros (2011), entrepreneurship in developing countries has a
positive impact on economic development and poverty reduction because when people cannot
find a decent job, it encourages them to engage in entrepreneurial activity.
Audretsch and Keilbach (2004) emphasize in their study that entrepreneurship is one of
the best ways to develop a country’s economy. Their research shows that entrepreneurship is a
factor that allows people to take advantage of opportunities to turn existing opportunities into
financial benefits. They consider these financial benefits as the result of entrepreneurial activity.
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
Entrepreneurship encourages people to open their own businesses or expand existing ones,
which allows them to create more jobs in the market.
Baron and Shane (2007) have noted that entrepreneurship can be seen as a mechanism
for creating new jobs in countries, reducing poverty, attracting foreign investors, introducing
new innovations to increase production efficiency, and providing competition between existing
enterprises.
Naude (2010) argues that income inequality encourages entrepreneurship in developing
countries.
According to Adenutsi’s (2009) paper, entrepreneurship helps to change the country’s
business environment, which ultimately plays a positive role in the well-being of society,
especially those living below the poverty line. The such entrepreneurial activity allows poor
people to become economically independent and encourages them to increase their income.
Acs (2006) assessed and analyzed the role of entrepreneurship in both developed
countries (Sweden, Germany and Japan) and developing countries (Ecuador, Uganda, and
Peru). For measuring entrepreneurial activity, Acs (2006) has collected data on opportunity
entrepreneurship and necessity entrepreneurship required by the Global Entrepreneurship
Monitoring (GEM). All the results have shown that in developing countries, people are more
prone to opportunity entrepreneurship, and there is a positive correlation between opportunity
entrepreneurship and economic growth. According to results for developed countries, there is
a positive link between necessity entrepreneurship and economic growth. This shows that
people living in developing countries are doing opportunity entrepreneurship, while those living
in developed countries are doing necessity entrepreneurship to strengthen entrepreneurship.
Entrepreneurship development helps people benefit from economic activity and overcome
poverty.
Entrepreneurship helps to reduce poverty not only in developing and less developed
countries but also in developed countries. Some research shows the role of entrepreneurship in
eradicating poverty in developed countries. We can see one such study in Slivinski’s (2015)
scientific work. Slivinski (2015) calculated the level of entrepreneurship among the poor in
each state of the United States. The results show that the highest level of entrepreneurship has
served to reduce poverty in 6 years, while in areas with low levels of entrepreneurship there has
been an increase in poverty level. Overall, the research showed that for every 1% increase in
the entrepreneurship rate, the poverty rate decreased by 2%.
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
Entrepreneurship development incentives and their impact on poverty reduction
Good financial institutions, government policies, incubators and can serve as a catalyst
for a person to become a successful entrepreneur. In addition, they can increase employment,
which can improve living standards, ease the economic cycle, and reduce poverty.
Entrepreneurial development incentives help to create new jobs in the country and
provide employment to the population by developing processes for overcoming barriers to
starting a new business or existing entrepreneurship activities. This can be self-employment for
those living in poverty or creating jobs for others. In addition, entrepreneurship can create more
jobs and in this way, more people can overcome poverty. This means that as the number of
entrepreneurs increases, the country’s poverty rate decreases. (Bruton et al., 2013). Some
authors emphasize that a viable way to develop a theory about entrepreneurial opportunities is
to identify the factors that can affect a person in the process of becoming an entrepreneur. Such
factors as financial, human capital, regulatory quality, and access to property rights can play a
supporting role in facilitating and encouraging doing business. (M. V. Jons, Coviello, & Tang,
2011).
According to some scholars, one of the key roles of entities such as financial institutions
and government institutions is to help people living in poverty to acquire new knowledge and
adapt to new skills to create new goods and services (Mitra et al., 2011). It also allows them to
attract key factors such as advanced technology, labor and capital that will enable the country’s
economy to grow.
Bruton et al., (2013) state that entrepreneurship development incentives include
government, incubators, and financial institutions that help an individual become an
entrepreneur and create jobs for others. The authors also discussed the role of entrepreneurship
development incentives as an institution responsible for finding solutions to poverty and
promoting economic development. Entrepreneurship development incentives have a great
impact on entrepreneurship activity and can play an important role in creating the right
environment for a person to become an entrepreneur.
Some scholars studied the role of state regulation in the development of entrepreneurial
activity. They concluded that government regulators could play an important role in business
development. The quality of bureaucracy and its impact on corruption are crucial in determining
the proportionality of the number of registered enterprises in a country. According to them, if
the bureaucratic barriers are minimal, the level of corruption will be low, and it makes easier
for a person to start or register a new business. In addition, good governance allows people to
improve health and education facilities (Nistotskaya and Cingolani, 2016).
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
Corruption is regarded as a major factor influencing entrepreneurship activity. Due to
mismanagement and high levels of corruption, many people do not run their businesses or
operate illegally in a way that does not pay taxes or follow the necessary procedures for
registering their businesses. Low levels of corruption and good government regulations
encourage people to start or register a business, easy access to finance, political stability and
good economic policies (Avnimelech, Zelexha, & Sharabi, (2014).
Urbanization, Entrepreneurship activity and Poverty reduction
Urbanization affects many aspects of human life, and businesses, especially new
ventures, are seeing its most beneficial effects. The incomes of people in urban areas are often
much higher than those of those living in rural areas. Also, people living in urban areas have
greater opportunities and conditions to engage in entrepreneurial activities than people living
in rural areas. This, in turn, has a significant influence on the income of the population and
improves people's living conditions and contributes to the reduction of the poor (Bosma, N., &
Sternberg, R., 2014).
Urbanization also offers a large and stratified consumer market, providing great access
to specialized data and services and skilled workers, and greatly enhancing the opportunities to
create a new firm. In addition, the risk of starting a new firm in a large city is considered
relatively low, as cities provide rich job opportunities that can work as a guarantee in the event
of a new firm failing. Moreover, if the trend of entrepreneurship activities increases in urban
areas, it can help to create more jobs than rural entrepreneurial activities and will lead to a
decrease in the number of poor people. (Bosma, N., & Sternberg, R. (2014).
Trade, Entrepreneurship activity and Poverty reduction
According to Ravallion (2006), trade openness in a country can improve the business
environment of the country and reduce poverty. In his scientific research on the example of
China, China has overcome widespread poverty step by step. This was made possible by the
extensive growth of trade opportunities that began in the early 1980s. Although China’s poverty
rate is slightly lower than the world average poverty rate, this was the opposite scenario by the
1980s, when China had the highest poverty rate in the world. Many historians have declared
that Deng Xiaoping’s “Open Doors Policy” of the early 1980s has been one of the biggest
factors in improving the entrepreneurship environment and reducing poverty in the country.
Bhagwati & Srinivasan (2002) concluded that poverty can be reduced due to trade
openness in less developed countries. Their research suggests that promoting free trade should
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
be seen as a specific part of the strategic plan for macroeconomic stability. This can lead to
rapid economic development in the country, create more opportunities for entrepreneurship and
reduce poverty by this way.
MATERIAL AND METHODOLOGY
In this study, we use a deductive approach, in which the hypotheses are tested for
application across countries. The quantitative method has been used for this approach.
Research Hypotheses
The aim of the current study is to investigate the impact of entrepreneurship and
entrepreneurship development incentives in the reduction of poverty in countries.
Specifically, to find the influence of entrepreneurship and entrepreneurship
development incentives on poverty reduction, the current study tests the following hypotheses.
H1o: There is no significant correlation between entrepreneurial activity and poverty as
measured by the HDI.
H1a: There is a significant correlation between measured entrepreneurial activity and
poverty as measured by the HDI.
H2o: Entrepreneurship development incentives and have no significant effect on the
correlation between entrepreneurial activity and poverty as measured by the HDI.
H2a: Entrepreneurship development incentives and control factors have a significant
effect on the correlation between entrepreneurial activity and poverty as measured by the HDI.
Human Development Index as a measurement of Poverty
As Todaro and Smith (2003) point out in their articles, it is necessary to create an
appropriate variable to measure poverty and study its relationship to entrepreneurship in order
to determine its impact on poverty. One of the indicators that has the potential to measure
poverty is the Human Development Index (HDI). The Human Development Index includes
education, health and living standards (GDP per capita), making it the best option for measuring
poverty. The Human Development Index takes values from 0 to 1, where 1 represents the
highest score.
According to Sameti, M., & Mojahednia, M. (2011), the concept of human development
encompasses the efforts of public officials to enhance health services, education, social security,
and living standards. Such actions can help people maximize their potential and provide with
high and innovative lives. Additionally, human development is not only about increasing the
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
nation’s economy. It is about giving people the opportunity to gain knowledge, learn new skills,
improve their lifestyle, and get the resources they need to enjoy a healthy life. Good health
allows people to increase their chances of achieving their goals and improving their quality of
life, while education helps them learn new skills and knowledge and take advantage of
opportunities.
Sen (2000) states that a person with both good income and talent can enhance their
standard of living. Hence, there is a relationship between a person’s ability and income level.
Also, Sen (2000) emphasized how improved education and health can help people overcome
poverty and improve their quality of life.
Based on the above discussions and literature review part, the Human Development
Index (HDI) was selected as a dependent variable to measure poverty. In addition,
entrepreneurial development incentives engaged in entrepreneurial activities were used as
moderators among the Human Development Index. Moreover, other factors were used as a
control variable.
The functional form of this study is:
Poverty it= function (entrepreneurial activity it, entrepreneurship development incentives
it, control variables it).
Here, i= is countries, t= is years between 2016 to 2020
Poverty is measured using the Human Development Index (HDI).
Entrepreneurial activity = New Business Density (Registration per 1000 people
ages 15-64)
Entrepreneurship development incentives = Number of procedures required for
a start-up (SP), Cost of new business (CNB), Days required to start a business (DRTB),
Control of Corruption (CC).
Control variables = Urbanization (% of total population), Trade (% of GDP)
The following variables are suggested based on the functional form. Also, control
variables (Trade and Urbanization) have been used to fit the model and minimize the bias of
the missing variable while maintaining the relevance of the entrepreneurial activity under
consideration. Table 2 provides a list of variables, definitions and their sources.
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
Table 2. Variables, types and their sources
Variables
Definitions
Sources
HDI
Measurement of
development (Index)
Human Development
Reports (UNDP)
New Business Density
(NBD)
Registration per 1000
people ages 15-64
World Bank Database
Cost of new business
(CNB)
% of GNI per capita
Doing Business
Reports
Number of procedures
required for a start-up (SP)
Number of procedures
required
Doing Business
Reports
Days required starting a
business (DRSB)
Number of days required
to start a business
Doing Business
Reports
Control of Corruption (CC)
Index of perceptions of
the extent to which public
power is exercised for
private gain (-2.5 to 2.5)
Worldwide
governance indicators
Trade
Total trade (% of GDP)
World Development
Indicators
Urbanization (UP)
(% of total population)
World Development
Indicators
In this study, the data for the dependent variable, HDI index, have been collected for the
period from 2016 to 2020 from the annual Human Development Reports of United Nations
Development Program (UNDP) to measure poverty in the countries.
The annual data for independent variables for the period from 2016 to 2020 including
entrepreneurial activity, entrepreneurship development incentives and control variables have
been collected from a variety of sources (Doing Business Reports, World Bank Databank,
World Development Indicators, and other sources). For this study, data from a total of 73
countries have been analyzed where data are available for our variables.
Estimation Equation and Estimation Approach
To achieve the research objectives, the linear regression model has been conducted
using the Panel Data estimation technique. And this study estimates the following model, where
Entrepreneurial activity (EA), Entrepreneurial development incentives (EDI) as moderators
between Entrepreneurship activity and Poverty, and Control factors (CF).
HDI it = b0 + b1* EA it + b2 *EDI it+ b3 *CF it + uit
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
In order to find an appropriate model for our regression among Panel estimation models
(Pooled OLS, Fixed effects, and Random effects models), the Hausman test and Breusch and
Lagrange Multiplier test have been used (Amini, S., Delgado, M. S., Henderson, D. J., &
Parmeter, C. F., 2012). These tests served us to find the right model. After conducting these
tests, we found that the Panel Fixed effects model was the most appropriate model and used
this model for the regression analysis.
The Human Development Index and the Corruption are in the form of an index, and
natural logs have been obtained to convert them to the index form for all other variables. This
analysis has used natural logs in order to linearize the model by minimizing the effect of
heteroskedasticity. (Arshed, N., Anwar, A., Kousar, N., & Bukhari, S., 2018).
RESULTS AND DISCUSSION
As mentioned above, in order to find an appropriate model for our regression among
Panel estimation models (Pooled OLS, Fixed effects, and Random effects models), the
Hausman test and Breusch and Lagrange Multiplier test have been used (Amini, S., Delgado,
M. S., Henderson, D. J., & Parmeter, C. F., 2012). These tests served us to find the right model.
After conducting these tests, we found that the Panel Fixed effects model was the most
appropriate model and used this model for the regression analysis.
The Human Development Index and the Corruption are in the form of an index, and
therefore natural logs have been obtained to convert them to the index form for all other
variables. This analysis has used natural logs in order to linearize the model by minimizing the
effect of heteroscedasticity (Anwar, Arshed, Kousar, & Bukhari, 2017).
The estimated statistical results of all countries are based on a general sample of
observations of 365 using 73 countries, as shown in Table 3.
Table 3. Estimated statistical results for countries
HDI
Coef.
Robust
St.Err.
t-
value
p-
value
[95%
Conf
Interval]
Sig
LNBD
.062
.002
3.89
000
.004
.012
***
c.LNBD#c.LCNB
-.016
.005
-1.25
.019
-.015
.003
**
c.LNBD#c.LSP
-.004
.001
-3.15
.002
-.007
-.002
***
c.LNBD#c.LDRSB
-.001
.002
-1.22
.001
-.005
.001
***
c.LNBD#c.CC
-.003
.005
-0.61
.000
-.007
.014
***
LUP
.027
.044
6.08
000
.182
.356
***
LTrade
.013
.004
2.18
.029
.001
.018
**
Constant
-.341
.185
-1.84
.006
-.705
.022
***
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
Mean dependent var
0.791
SD dependent var
0.149
Overall r-squared
0.628
Number of obs
365
Chi-square
282.726
Prob > chi2
0.000
R-squared within
0.614
R-squared between
0.628
*** p<.01, ** p<.05
Here: LNBD=entrepreneurial activity, LSP= Number of procedures required for a startup, LCNB=Cost of new
business, LDRSB=Days required starting a business, CC=Control of corruption, LUP=Urbanization,
LTrade=Trade.
DISCUSSION OF RESULTS
Entrepreneurial Activity
New Business Density. The analysis of individual effects shows that a one percent
increase in new business density (LNBD) is associated with a 0.069 percent increase in HDI
index, where the probability value confirmed that there is a direct and significant relationship
between new business density and HDI in case of countries. This direct impact takes place
where there is good economic growth, a high number of entrepreneurial activities, a high level
of registered business and effective government management.
Entrepreneurial Development Incentives
The number of procedures required for a startup. The coefficient cross product of a
number of procedures required and new business density for a startup is negative. This suggests
that each percentage increase in the number of procedures required for a startup is associated
with a reduction of the capacity of new businesses to increase HDI by 0.004%. Also, as a result,
it is statistically significant because the probability value of this coefficient is less than 0.01.
The increase in procedures required for a startup and the rise of bureaucracy in the process of
starting business affect negatively human development. If there are fewer procedures and
bureaucracy in the country, it will give more motivation for people who want to become
entrepreneurs.
Cost of new business. This negative coefficient cross product of the cost of new
business and new business density indicates that a one percent increase in the cost of a new
business is associated with a reduction of the capacity to increase the HDI by 0.016%. Since
the p-value of this coefficient is 0.019, which is statistically significant. It means that it creates
barriers to the ability of new entrepreneurs to start a business, to create jobs and in turn, it has
a negative impact on human development and poverty reduction. According to scientific
research by some economists, less cost of business and more registered businesses boost
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
entrepreneurial activity, which help to human development and reduces poverty (Cohen and
Soto, 2007).
Days required starting a business. On the other hand, the predicted results show that
the coefficient cross product of days required starting a business and new business density has
a direct and significant influence on HDI. It indicates that one unit increase in days required to
start a business will decrease the capacity of new business to increase HDI by 0.001 percent
and also it has a significant effect (p-value of 0.001). In general, the increase in the number of
days needed to start a new business in all countries in some way hinders the start of this
business and can serve as a demotivation for people to start their own businesses.
Control of corruption. The results provide information that the coefficient cross
product of control of corruption and new business density has a direct and statistically
significant (p-value is 0.000) relationship with the Human Development Index. However, it
indicates that a one-unit increase in Control of Corruption will decrease the capacity of new
businesses to increase HDI by 0.003 percent. If there is good governance in the country and
corruption is low, more businesses will be registered and people will benefit from the
opportunity to do more entrepreneurship. This, in turn, has an impact on improving the living
standards of the population and reducing poverty.
Control Factors
Urbanization. Similarly, there is a high correlation between the urban population and
the Human Development Index. The results of the urban population show that one percent
increase in population in urban areas will affect Human Development to increase by 0.027
percent. The p-value is 0.000 which is statistically significant. This means that people living
in urban areas have greater opportunities and conditions to engage in entrepreneurial activities
than people living in rural areas. This, in turn, has a significant influence on the income of the
population and improves people's living conditions and contributes to the reduction of the poor
(Bosma, N., & Sternberg, R., 2014).
Trade. These results also show that trade has a positive and significant impact on HDI,
with a p-value of 0.029. The overall outcome suggests that a one percent increase in trade will
affect a 0.013 percent increase in Human Development. As Ravallion (2006), stated in his
research that trade openness in a country can improve the business environment in the country
and reduce poverty.
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
CONCLUSION
As discussed in the previous chapters, the purpose of this thesis is to analyze the impact
of entrepreneurship on poverty reduction. In particular, it provides an opportunity to analyze
how entrepreneurship development incentives can stimulate entrepreneurship and improve the
business environment and increase the efficiency of entrepreneurial activity as well in the
world countries.
To examine the impact of entrepreneurship and entrepreneurship development
incentives on poverty, this study used a deductive approach, in which the hypotheses were
tested for application across countries where data were available of those countries. In order to
find an appropriate model for our regression among Panel estimation models (Pooled OLS,
Fixed effects, and Random effects models), the Hausman test and Breusch and Lagrange
Multiplier test have been used. These tests served us to find the right model. After conducting
these tests, we found that the Panel Fixed effects model was the most appropriate model and
used this model for all regressions. Additionally, the research used annual data of the variables
collected for the period of 2016 to 2020.
Overall, the results showed that entrepreneurship in countries around the world has a
positive and significant impact on poverty reduction (the Human Development Index). In
addition, entrepreneurship development incentives increase the efficiency and capacity of
entrepreneurial activities to reduce poverty. Improving government regulations and control of
corruption will also help entrepreneurs make it easier to start their own businesses, which also
helps to boost entrepreneurship activity and improve human development. In addition, trade
openness and urbanization have a significant impact on poverty. Also, results suggest that
governments need to improve the quality of their regulations and reduce business registration
procedures. Because if they reduce the level of corruption, then it allows entrepreneurs to fulfill
document requirements. Moreover, the government can encourage people to become
entrepreneurs by investing in education and improving the quality of legislation, which would
be the right step in alleviating extreme poverty in the country.
This is a new study using changes in the HDI to measure poverty reduction, providing
a broader and more comparative indicator that answers research questions. This research
supports the claim that entrepreneurial activity has an impact on poverty eradication and
improving human development and people’s quality of life. Also, it demonstrates the strong
relationship between entrepreneurship and poverty alleviation. In addition, proposing
entrepreneurship as a potential model for poverty reduction demonstrates the uniqueness of the
study. Therefore, this research will contribute not only to filling the gap in the literature
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Azamat, O., Fayzullokh, S., Nilufar, A (2023)
The Impact of Entrepreneurship on Poverty Reduction
devoted to this topic but also as a model of economic and social development for developed,
developing and underdeveloped countries
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Purpose: Within the Nelson Mandela Bay Metropolitan Municipality in South Africa, no record of factors that inhibit the successful pursuit of the food truck business exists. This study closes this gap, as its chief goal was to ascertain the factors influencing the sustainability of food truck entrepreneurs in Nelson Mandela Bay (NMB). Theoretical Framework: The study used a conceptual framework developed from previous studies on factors that affect food truck entrepreneurs and business sustainability. Design/Methodology/Approach: Data for the study was collected through semi-structured interviews with seven food truck entrepreneurs from NMB. The data was analysed using thematic analysis. Findings: Reviewing the factors that have been highlighted in this study, it is evident that several factors are most important for a food truck business to remain sustainable and profitable. It was established that both internal and external factors play an important role in the success of a food truck business. A framework that highlights the factors influencing a food truck business in NMB has been created for ease of use by entrepreneurs in the food truck industry. Research, Practical & Social Implications: Prospective and current practitioners in the field can predict the long-term success of their endeavours by understanding the factors. The framework can also be used by metro officials and local governments to determine where support might be needed to promote and support entrepreneurs in their business ventures by reviewing policies and regulations. Originality/Value: Improved regulations could help food truck owners grow their businesses, employ more people, and upskill others.
... Recent studies, however, have shown more positive outcomes from business trainings in terms of small business profitability (Azamat et al., 2023;Campos et al., 2017;Drexler et al., 2014;McKenzie & Puerto, 2017;Sharafizad, 2017;Yessoufou et al., 2021). Innovations in training methods and extended duration of impact assessments (minimum three years) have contributed to these findings (McKenzie, 2020). ...
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This paper presents the Quality Assured Module Maker (QAMM) framework, a strategic conceptual tool crafted for the development of high-quality training modules and continuous program evaluation of the Financial Literacy Program (FLP). Providing business training to 3,000 small-scale Malaysian entrepreneurs under the B40 socioeconomic category, FLP operates under the auspices of the Income Enhancement Initiative (Inisiatif Pendapatan Rakyat or IPR), led by the Ministry of Economy. The program offers financial incentives to aid small-scale entrepreneurs in starting and enhancing their business operations. The FLP strategically aims to strengthen financial literacy, managerial skills, and future financial capacity of its participants, thereby contributing to the sustainability of their businesses. The large scale and participant base of the program necessitate the importance of high-quality modules for successful training outcomes. The QAMM framework is central to the development of 45 comprehensive modules across five thematic areas within FLP. Unique in its approach, the framework integrates educational assessment theories and methodologies, serving as a pivotal instrument for ensuring uniform and consistent training delivery. It employs constructive alignment to align training delivery with skill acquisition goals, thereby fulfilling intended objectives and ensuring high content validity. This paper articulates the theoretical foundations, components, elements, and practical applications of the QAMM framework. Significantly, the QAMM framework is utilized not only in module development but also in module evaluation, which is conducted concurrently with the module development. This ongoing evaluation provides continuous data for module improvement, exemplifying a dynamic approach to evaluation approach in entrepreneurial training. The paper delves into the innovative use of educational assessment methodologies in module development framework, addressing a significant research gap in the effectiveness of business training for small-scale entrepreneurs in developing countries.
... But the fact is, we just don't know for sure. One reason for this lack of clarity is that there is little research in connection with the first transmission mechanism -the impact of entrepreneurship education on the success of women entrepreneurs-as although there are plenty of studies showing how best to create and deliver entrepreneurship education (Bhardwaj 2014;Ogidi 2014), and on how well specific courses -or other interventions-are perceived to have worked by those who took them (Rideout and Gray 2013), there is little on the likely scale of its effect, and what there is focuses on whether it works to encourage specific measurable traits, such as the ability to innovate (Maryam et al. 2017). There is, by way of contrast, considerable research into how it encourages women to make the choice to become entrepreneurs in the first place (Coduras-Martínez et al. 2010; Fatoki 2014; Mohamad et al. 2015), and although we would need to look at the opportunity cost of such choices to be sure, few alternatives are likely to have as much impact on output and employment as becoming an entrepreneur even if the resulting firms are short-lived, and there is supporting evidence that they tend not to be as entrepreneurship education seems to provide some protection against early attrition for businesses owned by women (Douglas 2014). ...
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This paper reports on a study of women entrepreneurs running MSMEs in South Wales, a region characterised as having a weak entrepreneurial culture compared to other parts of the UK (Fotopoulos and Storey 2017). One reason for this weakness is perceived to be a lack of entrepreneurship education and in this paper we investigate the hypothesis behind this -that more entrepreneurship education has a positive effect on business success. The investigation consisted of three parts; a set of 59 questions (n=150), followed by a series of face-to-face interviews (n=37), and finally some detailed discussions (n=5). The main finding is that the hypothesis that entrepreneurship education makes a positive contribution to the success of women entrepreneurs needs to be modified to reflect the fact that it is entrepreneurial learning through technologically enabled networks that has such an effect, as it no longer makes sense in the age of social media to separate education from asynchronous networked learning, or to separate the technology from the networking within that learning. The practical implication of this research is that enterprise education courses and programmes designed to support female entrepreneurs need to take better account of the way such women learn. The limitation of the research is that the sample is from a relatively technologically enabled population.
... This is why former president of Nigeria Dr. Goodluck, through the Central Bank mapped out a huge sum of money to encourage the entrepreneurial activities of the women but this financial assistance program (Youwin women) seems not to have reached these women since as observed in literature. However, the potentials are currently being undermined by the fact that women lack access to and control over financial and other forms of resources and government intervention has been marred with inadequate and untimely release of funds by the government; inappropriate staffing and logistics problems (Ogidi, 2014). ...
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... DEVELOPMENT GNI per capita is a measure of a nation's income divided by its population. It's a significant indicator of a country's economic performance (Azamat et al., 2023). Although it is sometimes criticized as an oversimplification of economic wealth, GNI per capita is widely used as a measure of economic development (Dollar & Kraay, 2003). ...
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Purpose: The objective of this study is to examine the influence of the Digital Adoption Index (DAI), Insurance and Financial Services' percentage contribution to GDP, ICT Expenditure as a percentage of GDP, the Ease of Doing Business Index, and Gross National Income per capita on economic development in developing countries. Theoretical Framework: Drawing from the endogenous growth theory, the study hypothesizes that improvements in digital technology, insurance and financial services, and the business environment, alongside the level of national income, contribute positively to economic growth. Methodology: A panel regression analysis was applied using the Fixed Effects model to analyze data collected from various developing countries. The study utilized both unit root and cointegration tests, with the Hausman test used for model selection. Findings: The results demonstrated that all variables significantly influence GDP per capita. The most substantial impacts were found to come from the Insurance and Financial Services' percentage of GDP and the GNI per capita. Research, Practical & Social implications: The findings underline the crucial role of digital technology, insurance and financial services, ICT expenditure, ease of doing business, and GNI per capita in enhancing economic growth. They provide insights for policy-makers in developing countries on the areas to prioritize for substantial economic development. Originality/Value: This study fills a research gap in exploring the interplay of digital technology, insurance, and economic growth, particularly in the context of developing countries. It provides a unique contribution by integrating various factors into a comprehensive model.
... Poverty reduction has become a crucial economic and political aim for many governments and international organizations worldwide, as it is critical to society's well-being. Even though the absolute number of poor people has decreased dramatically over the last thirty years, poverty reduction strategies and programs continue to be among nations' most important economic and social development projects and other international organizations [20]. Scholars have undertaken a few studies on the impact of entrepreneurship on poverty reduction. ...
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This study is based on the idea that education forms a quadratic relationship with the income inequality. To evaluate it for South Asian Association for Regional Cooperation (SAARC) countries, this study uses the panel data from 1990 to 2015. Long run panel data necessitated the use of panel co-integration approach, followed up with fully modified OLS model to generate long-run coefficients. The results depict that initially primary and secondary enrollment increases inequality while tertiary enrollment decreases it. However, after a certain threshold level of enrollment (76% for primary, 42% for secondary and 7% for tertiary), their effect reverses. Thus, it makes inverted U shape for primary and secondary enrollment and U shape for tertiary enrollment. Hence education shows diminishing marginal return effect. Only the countries of India, Sri Lanka, Maldives and Nepal in SAARC economies have high enough education enrollments to cause a negative effect on income inequality.
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The article examines the effect of meritocratic recruitment and tenure protection in public bureaucracies on regulatory quality and business entry rates in a global sample. Utilizing a cross-country measure on the extent of meritocratic entry to bureaucracy and a time-series indicator of tenure protection, it subjects theoretical claims that these features improve the epistemic qualities of bureaucracies and also serve as a credible commitment device to empirical test. We find that, conditional on a number of economic, political, and legal factors, countries where bureaucracies are more insulated from day-to-day oversight by individual politicians through the institutional features under consideration tend to have both better regulation, specifically business regulation, and higher rates of business entry. Our findings suggest that bureaucratic structure has an indirect effect on entrepreneurship rates through better regulatory quality, but also exert a direct independent effect.
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Hausman (1978) represented a tectonic shift in inference related to the specification of econometric models. The seminal insight that one could compare two models which were both consistent under the null spawned a test which was both simple and powerful. The so-called ‘Hausman test’ has been applied and extended theoretically in a variety of econometric domains. This paper discusses the basic Hausman test and its development within econometric panel data settings since its publication. We focus on the construction of the Hausman test in a variety of panel data settings, and in particular, the recent adaptation of the Hausman test to semiparametric and nonparametric panel data models. We present simulation experiments which show the value of the Hausman test in a nonparametric setting, focusing primarily on the consequences of parametric model misspecification for the Hausman test procedure. A formal application of the Hausman test is also given focusing on testing between fixed and random effects within a panel data model of gasoline demand.
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The key aim of the study was to investigate the role of social entrepreneurship in poverty alleviation in district Mardan. The researcher studied previous investigations, associated with this study earlier while adopting the study method. To find out the specific objectives of the study, the researcher followed quantitative method, based on the past study of Chebbi (2016), and data was collected through questionnaire. The questionnaire was a developed questionnaire from the study of Ali and Ali, (2013).The questionnaire was distributed to 200 social entrepreneurs providing their services in different local and international NGOs, social welfare foundations operating in district Mardan. In response, a total of 150 questionnaires were received, the response rate was 75%. It is a good response rate. In which 68.7% were male while the percentage of female respondents were 31.3. In which the percentage of age group under 20 were 2%, from 20-30 their percentage were 64.7, while the percentage of the respondents with 31-40 age group were 16.7, and the age group from 41 to 50 their percentage were 12.7. While the age of the respondents above 50 were of 4.0%.In the total 150 of the respondents, there were 55.3% single respondents while 43.7% were married respondents. Similarly, the respondents having no education or illiterate, their percentage were 0.0, while the respondents having highest school level education, there were of 4.7%, and the respondents having highest college level education there percentage were 6.7, while the respondents having highest level of education were university graduate, their percentage were 87.7%. Likewise, the obtained data were entered and analysed by SPSS.
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Recently the effect of Intellectual Property Rights (IPR) and Information and Communication Technology (ICT) on human development index (HDI) is a new subject which has been considered in economics. Most of the economists believe that not paying enough attention to IPR would prevent the economical growth and development. On the other hand, different nations will have developed human resources when in addition to institutions and certain rules, the people of the society invent new things and the development in ICT can be the reason. The main purpose of this article is to study the effects of IPR and ICT on HDI in developing countries during 2005-2010. In this study we use panel data and the indicators from United Nations Human Development Report (UNDP) and World Bank.
Chapter
Some observers have argued that poor people share amply in the gains from external trade liberalization in developing countries, while others argue that the benefits are captured by those who are not particularly poor. Various methods have been used to address the issue empirically, including cross-country comparisons, aggregate time series analyses at the country level, and various simulation methods using both partial and general equilibrium analyses.1 A common feature of all these methods is that they attempt to measure the impact of higher trade volume (or policies to promote trade openness) on some aggregate measure of inequality or poverty.
Book
Why are some individuals more entrepreneurial than others? What types of institutional environments are more conducive to entrepreneurship? Does entrepreneurship contribute to the growth of a country? Answering these questions is particularly important at a time when governments all over the world are looking to entrepreneurship as a way to increase employment and the competitiveness of their countries. The chapters in this volume cover topics such as entrepreneurial motivation, gender and migration, entrepreneurial financing, urban entrepreneurship, growth-oriented entrepreneurship, economic growth, and regional entrepreneurship policies. Each chapter is based on data from the Global Entrepreneurship Monitor. The GEM project collects detailed and comparable data on representative population samples in more than 60 countries. No other existing book provides such a coherent global view of entrepreneurship and its implications. Other studies use a hodge-podge of data from different sources to study entrepreneurship. The data used to support the different parts of a given argument are not always consistent with one another or easily compared. The scientific validity of such empirical findings is limited as the various pieces of evidence do not belong to the same puzzle. Therefore, the coherence of a universal approach is lost and important aspects of the entrepreneurial process may be overlooked or undervalued. This volume, on the other hand, tests all theoretical arguments against the same empirical data, all the pieces fit into the same puzzle and a coherent and unitary picture of entrepreneurial activity, from its causes and motivations to its macroeconomic impact and implications, emerges.