The Role of Government Capital
Expenditures in Economic Growth in Jordan
CHAPTER 1:
INTRODUCTION
1.1 Introduction
Government legislation on public expenditure plays an essential role in
fostering economic growth by balancing the country’s revenues and expenditures.
Al Bataineh (2012) claimed when the economy experiences a recession, increased
government spending will elicit a rise in the aggregate demand thereby
assisting the economy to gradually recover. Intuitively, public expenditures
improve economic growth by increasing productive capacity, as well as, the
gross product of the local economy, especially in critical economic sectors (Al
Bataineh, 2012). Nonetheless, increased public expenditures will also lead to
inflation and reduce government budget, thereby inflicting detrimental
influence on the economic performance of a country (Colombier, 2011).
Reportedly, capital spending is one of the critical elements of public
expenditure for the detailed and sustainable financial growth of a region. Nonetheless,
the issue of the management, expenditures, as well as, distribution of capital
expenditure in an equal manner to realize economic growth in each fiscal year
is a daunting task (BOSE et al., 2007).
Data from the Department of Statistics
(DOS) in Jordan show that public expenditures have been increasing since 1970.
However, the country’s economy has been sluggish for years. Therefore, this
decline in economic growth despite a gradual increase in public expenditures
has elicited debate on whether increased public expenditure especially capital
spending actually contributes to economic growth? Therefore, the proposed study
pursues to inspect the influence of government capital expenditures on
financial growth in Jordan. Based on the findings of the study, different
solutions and recommendations will be proposed to enhance budget spending
performance, minimize losses, wasteful use of public expenditures, and thereby
boosting the economic growth of the country.
Many economists
believe that government expenditure contributes to economic growth. While there
is a growing body of evidence validating this correlation, the basic causal
mechanisms remain inadequately understood. Governments achieve much of this
duty using the fiscal policy instrument which makes it easier to intervene in
the economy. The use of fiscal policy can best be explained using a simple
Keynesian model, where an expansionary fiscal policy focuses on invigorating
the economy and can be done by increasing government expenditure, implementing
tax cuts, or by using both mechanisms (Dandan, 2011). By setting up budget
targets and solidifying public expenditure and public works, some government
expenditure policies may entail.
The concept of
government expenditure receives a lot of attention, more so due to its
significant role in guaranteeing economic success in the newly developed
nations, such as Jordan. In Jordan, the
government has in recent years made persistent efforts at fiscal consolidation
(Dandan, 2011). For instance, the fiscal deficit remained high during the
2009-2012 period illustrating the general efforts of the government to deal
with the impact of the global crisis. Besides, the heightened fiscal deficit
also showed the cyclical deterioration in domestic revenues and the increase in
regional political tensions (Dandan, 2011). Central government spending has
also been relatively high in Jordan compared to regional nations and those with
similar per capita GDP. Therefore, the high government spending points towards
possible efficiency gains from restructuring spending across and within
sectors.
Jordan has one
of the best development programs in the Middle East. It's 2025 Vision program
can be termed as best for creating economic opportunities in the country. This
program is developed to create macroeconomic stability by decreasing improving
monetary reserves and by fulfilling fiscal needs to increase inclusive growth.
The Vision 2025 plan has been created through a medium-term economic program
that is generated by the Extended Fund Facility. This program has been
successfully supported by the IMF with the main focus of minimizing the public
debt and protecting the poor citizens by consistent fiscal consolidation.
Jordan has also
started various structure-based reforms throughout the last decade which is
aimed at education, health, and liberalization of the country's economy. In
addition to that, numerous social protection systems based on reform subsidies
have built suitable conditions for private-public partnerships. The economic
reform program launched by the Jordanian government is beautifully designed by
the economic management team of Jordan. Moreover, it has been existed by
getting Professional help from the economic team of the International monetary
program inside the country.
In this idea,
the role of management capital outlay in financial growth in the Kingdom of
Jordan will be examined. The thesis describes the conduct of capital
expenditures in terms of size and sector and investigates the correlation
between capital expenditures and the general growth in the economy. Government
based development programs leave positive effects on the economy. However, it
should be noted that sometimes they leave the opposite effects on the
industrial production index. Since in these cases sometimes government induced
programs are highly inefficient and wasteful for the economy. Since in these,
it is very difficult to correct market failures within the economy and it also
fails to create a business climate supportive to the businesses. Critics of
this policy believe that in these kinds of conditions this policy can only
create economic opportunities for the high-income private businesses. Since
that makes very difficult for small businesses to survive in tight economic
conditions. Moreover, it also disturbs the overall growth of the economy.
Besides, capital
expenditures across sectors in comparison to their GDP growth will be examined.
The background of the study is explained in this introductory paragraph, and an
overview of the problem being examined illustrated. The chapter also outlines
the importance of the study, as well as the research questions, research
objectives and research hypotheses that would guide the completion of the
thesis.
.
1.10 Conclusion
Chapter
1 starts with the introduction between the government’s capital expenditure and
the economic performance of the country. The discussion brings out the issue of
the management, expenditures, as well as, distribution of capital expenditure
in an equal manner to realize economic growth in each fiscal year. The chapter
discusses the research background. The discussion points out that even though
significant progress has been made in Jordan, the country still continues to
experience tough economic times and makes a case to examine whether government
capital spending would have an important influence on financial development in
Jordan. The results created from this thesis are extremely good for the policy
devising team working in the country. This team can easily use our study to
improve the existing economic growth based policies. This thesis can also be
used to interpret detailed research reports in Professional and complete way
possible. The recommendations given in this thesis are also very good for
encouraging fruitful discussions for creating beneficial future policies in the
country. It will also help in the interpretation of various economic behaviors
of the Jordanian economy. Our research will aid the Jordanian economic team to
control and implement correct policies to stimulate economic growth with the
help of positive economic policies. This will also help them to create economic
opportunities for the lower and upper middle class. This upper and lower middle
class is mostly involved in maximum consumer spending within the territory of
the whole Middle Eastern and Jordanian economy. Our research will also aid the
Jordanian economic management to reform their 5-year reform plans by setting
realistic goals for the future generations of the country. These realistic
goals are also very important for getting maximum results from the Vision 2025
economic plan of the Jordanian government. the Vision 2025 plan is the most
important economic plan designed and implemented by the Jordanian government in
the last few decades. Recent research reports also indicate that an upsurge in
government spending can have a sturdy negative impact on investment spending
and economic growth. Such an argument is evident in the study by Blanchard and
Perotti (2002), who find a strong and adverse influence of larger government
spending on isolated investment spending. The Initial literature review
highlights the divergent views on the connection between government capital
expenditures and the financial growth of the country. The chapter discusses the
research problem, research gaps, and the significance of the study. Research
study has aims as well as objectives, questions of research and research
theories are developed to provide the structure of this important research on
the financial growth of Jordan. In order to move forward, a detailed literature
review is discussed in the next chapter.
CHAPTER
2: LITERATURE
REVIEW
2.1 Introduction
Past studies
have comprehensively investigated government capital expenditures and economic
growth, particularly in developing countries. The above concepts generate many
research interests due to their conflicting and long-lasting state in economic
theory. For these reasons, this chapter reviews the theories and empirical
studies conducted on this topic. Principally, there is a causal relationship
between government capital expenditures and economic growth since the former
dictates the economic performance of a country.
2.2.1 Government disbursements and economic growth
2.2.2 Influence between government outlay on economic growth
Colombier (2011)
carried out a study to determine the relationship that exists between public
expenditures and GPD. Intuitively, the causality relationship indicated that
total government consumption has positive effects on GDP development. The
research of the study further indicated that growth in GDP hardly expands
government expenditures. From the estimation findings, it was revealed that
public expenditures improve economic growth.
For regional
development, infrastructure is one of the tools that we confirmed by Nijkamp in
1986. The other regional capacity and social-economic activities are directly
or indirectly affected by it, in addition, the factor of production. The
creator stresses that the foundation approach is a state of the local
improvement strategy: it does not ensure local intensity, yet creates the
necessary conditions for achieving provincial development goals. Economic
competitiveness is determined by various aspects to say Snieska and Draksaite
in 2007, and one of them is an indicator of infrastructure. In 2009 Bruneckiene
and Snieska recognized the framework as one of the markers of the intensity of
locales inside the nation. This alludes to the physical infrastructure
(consisting of newly constructed properties, external accessibility of the
region by land, road transport framework, water, and air) as production
variable points, competitive conditions in the district. The factors that
influence the investment atmosphere at the local level and increment the
attractiveness of the region are infrastructure services and physical framework
that were consolidated by Martinkus and Luskasevicius in 2008. For global
competitiveness and sources, we inspect the extent of the infrastructure
impact.
In 1989 Aschauer
discovered that open venture almost everywhere the productivity growth fell
strongly that was almost simultaneous. In 2008 Mamatzakis counts suggested that
in Greece the infrastructure is a crucial component in the activity of the
economy. Infrastructure is impacted in different angles: output, territorial
aggressiveness, income inequality, monetary growth that is analyzed by the
researchers, the effect on the environment and prosperity (in increased safety,
time cost and savings, the development of information networks) by Bristow and
Nellthorp in 2000.
Investment in
infrastructure can stimulate hierarchical and management changes are argued by
some authors: the development of the railway system can promote the institutionalization
of the schedule, which promotes expanded income notwithstanding having railway
service (Mattoon, 2004). For employment
and output (GU, Macdonald, 2009) public infrastructure provides a deeper and
wider geographical concentration of economic and market resources. Markets and
resources of the finished product are affected by it, help determine examples
of spatial improvement and provide a broad system of individual clients at low
costs. To build an economy, public infrastructure is generally regarded as a
foundation says Macdonald in 2008. Macdonald has led experimentation of the
execution of sustainable development policies, In the field of strategic
planning for socio-economic and sustainable, they noted the development of
infrastructure as one of the most essential features in the development of the
country.
In 1998 Aschauer confirmed that the open
framework is the premise of the personal satisfaction: great streets diminish
the number of mishaps and increment open wellbeing, water supply framework
decreases the dimension of infection, squander the executives improves the
wellbeing and style of nature. The relationship between the presence of
infrastructure, education, wellbeing in the network was examined by Agenor and
Moreno-Dodson in 2006 and demonstrated that infrastructure services are basic
to guarantee the quality and accessibility of wellbeing and instruction, which
give a riches impact to a large extent. Vitkauskaite, Damaskopoulos, Gatautis
(2008) credited to the wellspring of infrastructure performance. In the 2000s
Mamuneas and Demetriades recommend that social capital infrastructure has a
critical positive effect on income and in 12 OECD the demand for private means
of production and delivery of products. Mentolio made the results of the
assessments and the idea was confirmed by Sole-Olle in 2009 that productive
public investment in roads positively influenced by the relative increase in
labor productivity.
In 2008, the
effect of the public framework on the degree of private production and found
that the private framework is essential for the private assembling
segment. Organizations are taking a
gander at social capital as an unpaid factor of production while maximizing
benefits. Thusly, the foundation may incorporate capital-escalated facilities
that are not of open intrigue. But most of the infrastructure is used by the
public actively. The physical infrastructure or infrastructure capital such
objects that are referred by the economist. The job of the foundation is
assessed by the services delivered by the physical foundation resources in the
scientific literature. Infrastructure services, like the delivery of water,
transport, energy, sanitation and safe transfer of waste are necessary for all
kinds of household activities and financial generation.
2.2.3 Jordan’s
fiscal balances
In spite of
constant attempts of government’s fiscal strengthening, Jordan’s fiscal
balances are to fall in 2017 due to stagnant tax incomes and lesser allowances.
The forecast for fiscal deficit for 2017 came out to be 6.4 percent which was
6.2 percent in 2016. Diminished tax earnings which are resulted by stunted
growth are balanced by greater non-tax incomes while the revenue to GDP ratio
remains constant. This is for the revenue side but for expenditures, interest
payment to GDP ratio is foreseen to increase by 0.2 pp and by 2017 to reach at
29.2 percent. As the monetary position is being intensified, the primary parity
is calculated to be-3.3 percent of GDP in 2017, being -3.2 percent in 2016.
2.2.4 Debt sustainability and fiscal policy
Maintaining the
debt is just guaranteed with moderately hopeful suppositions including
proceeded with the aid of the contributors. Despite having the IMF review
concluded in 2017, a monetary space of US$1.25 Million in the latter half of
2018 is expected to be secured when the Euro bond is issued. The descending
direction for public debt is declared on effective debt at sensible
circumstances and proceeded with the usage of the financial union. Foreign
direct investment rises by gainful structural policies and modifications and
exterior sustainability highly depends on such suppositions. To minimize the
crowding out effect, the government takes on loan more from abroad than from
home. In October 2017, Commercial banks’ loan to the government sector
increased by 1.6 percent yoy while that of the private sector rose by 10.2
percent yoy. To stabilize this act in the “debt mix” is dependent upon
proceeded with market access at convenient terms. The gross fiscal deficit increased by 0.66 pp
of GDP yoy in 2017 whereas the initial profits decreased by 0.64 pp yoy which
resulted in a loss of 0.56 percent of pp.
A 0.13 pp has
been enhanced in 2017 in domestic revenues growing from an elevation in nontax
revenues that negate revenues that are low which is increasingly higher than
the expectations. Total spending that has been a sum of the existing and
capital expenses increased by 0.27 pp by the end of 2017.
2.2.5 Jordan fiscal policy and balance of payments
Reports of Bank
of Jordan exhibits that the shortfall in the current account declined to 6
percent of GDP at the beginning of 2017 but was recorded to be 6.2 percent in
2016. So it showed better progress in 2017 which was due to a rise in 0.2 pp in
income account and led to a 0.5pp decrease in present transactions.
The latest
method has been taken up by the Department of Statistics which was used to do a
study of the labor force in 2017. This survey was done on the suggestions given
by ILO to further strengthen and elevate the reliability of the study. The
sample of the survey was increased from 13,000 to 16000 houses, criteria being
very limited by the new method which was established on the structure given by
the 2015 population census. The results which came out of the new technique
gave the unemployment rate to be 18.1 percent while LFP was 39.7 percent.
Contractionary
Monetary Policy was adopted by the Central Bank of Jordan (CBJ) in
collaboration with the Federal Reserve Board. Due to this policy, the exchange
rate peg is maintained. Since 2016, the Central Bank of Jordan increased its
interest rates four times.
2.2.6 Jordanian banks
Banks in Jordan
are very secure, money making and appropriately sponsored. Since 2010,
Jordanian banks have experienced slow growth but still have been moving towards
betterment for five continuous years. Bank nonperforming loans ratio, which was
4.3 percent in 2016 turned out to be 4.4 percent in 2017.
However, return
on value (ROE) and profit for resources (ROA) of both banks increased to 9.4 and
1.2 percent respectively, by H1-2017, compared with 8.8 and 1.1 percent in a
preceding year. Meanwhile, the capital adequacy ratio and leverage ratio were
drawn back to 17.6 and 12.9 percent by H1-2017, down from 19 and 13 percent at
the end of 2016, respectively. The exposure of banks to state debt continued
its downward trend, representing 34.2 percent of total assets toward the finish
of October 2017, lower than the end of 2016, end of 2015 and the end of 2014,
each stood at levels 36.2, 40.6 and 40, 8 percent, respectively. Finally, By
the end of October 2017 Jordan’s net foreign asset (NFA) position of its
commercial banks stood at minus the US $ 2 billion, down from minus the US $
1.4 billion at the end of 2016 but illustrating sound improvement compared to
minus the US $ 2.8 billion at the end of 2015. In general, loans to the private
sector stood at 43.9 percent. This is of predicted GDP in October 2017. This
remains unchanged since the last level of 2016. Thereby maintaining the
improvement reaching a trough in 2014. Since 2010 the credits to the private
sector has dropped to a lower plateau because it recorded an average share of
GDP of 37.4 percent between 2010 to 2016. This is as compared with an average
share of 52.4 percent in the pre-slow growth period of 2000 to 2009.
2..3.1 Supporters of Keynesian economic impact of
government expenditure on growth
Economic experts and supporters of
Keynesian economic believe that it is very essential to reduce government taxes
and increase government spending to improve the overall economic growth in the
economy[1].
Since, thus thong is very important for increasing aggregate demand. They also believe
that, this tool is very effective while economy is going through low economic
activity or recession. This tool also plays an important role in generating
significant amount of employment opportunities for the overall labor force. The
deficits present in the economy can also be solved through these tools of
Keynesian economics including the framework for strong economic growth and
working towards full employment. This policy can easily help in expanding the
economy towards the boom scenario[2].
This school of through was successfully
implemented during the great depression and post-world War 2 period. This
policy successfully helped American governments during that period to improve
the economy. The experts of the Keynesian economics claim that
interference made by profit making private enterprises in the economy
sometimes bring very adverse results for the economy. (Sullivan and Sheffrin,
2003). Therefore, they are strong supporters of strong fiscal policy which
focuses on the stabilizing output over the business cycle.
This in the opinion of According to
the Blinder, (2002) government can improve the investment climate within
the economy through injection of income and that results in achieving greater
spending within the overall economy. The result of this policy is also
improves the investment and firm productivity. The spending of the
income is also dependent on the company stimulation, spending and so forth. The
economic activity of the companies also improves the original economic
opportunities for labor force present in the economy.
This is very different from what neo classical and classical economists say about the fiscal policy. Although, they somehow believe that focal spending improves production but they don't believe that it can decrease side effects of negative private investment[3]. They also believed that financial incentive will also improve the labor wages, labor demand and company profitability. However, this will greatly decrease the market price of the government bonds. Since, market price decreases with the increase in the interest rates. Also, such kind of policy improves the economy and makes easier for country managers to make use of all the available resources in proper way possible. However, it should be kept in mind that sincere efforts to improve economy are very important to get fixed investment for the economy.
Since he thinks that three kind of
policies promote collectivist approach which encourages centralized
planning and that leads to various business cycles such as boom and doom[4].
2.3.2 Effects of
the government spending on the growth rates
This research study utilized Ordinary Least
Square (OLS) technique. The findings of this research study revealed there is a
strong connection aiming capital expenditures and GDP[5]. This
research study was carried out in the year 2010 and it used the data from years
1977 to 2008.These research study has showed that there is an inverse
relationship between the economic growth and capital expenditures made by the
government.
2.3.3 Fiscal policy and economic growth
The rate of GDP growth can be easily
influenced by the correct direction of fiscal policy. This factor can be seen
through analysing the economic progress of different countries. Moreover, this
is the most important pillar of the development economics. The most important
components of this policy are balance of payments control, output enhancements,
interest rate balance and investment enhancement etc. The traditional view
about enhancing the growth is based on the fact economic managers must control
the demand side of the economy. Since, it is very important to improve the
growth and economic performance of the country. The demand-side
orientation of research, has led to create two school of thoughts namely
Ricardian equivalence theorem and crowding-out hypothesis[6].
In
addition to that, it should be kept in mind that differential alternative
economics has no place in the Keynesian models[7].
Since, it mostly focuses on the financial aspects of budgetary policy. In this
type of spending government is mostly focused on financing a chosen stream of
public expenditure as compared to various kinds of expenditures. This also
means that government spending must also generate its maximum revenue from the
tax spending of businesses operating within the economy. In addition to that
bond financing will also be used to generate revenue during the time of high
interest within the economy.
According to the Lynde and Richmond(1993),there is an ample evidence that investment oriented fiscal policy is mostly connected with various growth indices present in the economy[8]. The list of these growth indices include factors of production, costs of production, manufacturing costs, and production costs[9]. However, it should be kept in mind that all these are supply side econometric variables used by the economists.
According to the Lynde and Richmond(1993),there is an ample evidence that investment oriented fiscal policy is mostly connected with various growth indices present in the economy[8]. The list of these growth indices include factors of production, costs of production, manufacturing costs, and production costs[9]. However, it should be kept in mind that all these are supply side econometric variables used by the economists.
Additionally, government authorities
must keep in mind that it is very important to form a true connection between
the private output and state intervention. Therefore, to form this true
connection it is very important to increase the productivity of the private
businesses and also to improve the investment climate within the economy. It
should keep in mind that it will also improve the economic climate and it will
help government to reduce the cost of production. Moreover, it will also
increase the Profitability of private firms working in the economy.
According
to the Kruegcr (1990), alternative government financial policies are not
present in Keynesian economics. Therefore, government has to sacrifice the
positive growth process for the sake of following the Keynesian economics based
policies[10].
According to Kruegcr (1990),government has to suffer various financial failures due to following Keynesian policies. These failures include damages growth prospects, excessive government expenditures, high fiscal deficits and lack of business confidence. The most basic deficiency in this policy is that it fails to include variables such as failure to address the problems faced by the production sector and it also fails to provide answers about the role played manufacturing sector for accumulation of wealth within the economy. Moreover, Keynesian economics has also failed to model the connection between the manufacturing output and the government investment. Since, it is very important to form a relationship between these variables as it will help in estimating the contribution of government investment to the growth.
According to Kruegcr (1990),government has to suffer various financial failures due to following Keynesian policies. These failures include damages growth prospects, excessive government expenditures, high fiscal deficits and lack of business confidence. The most basic deficiency in this policy is that it fails to include variables such as failure to address the problems faced by the production sector and it also fails to provide answers about the role played manufacturing sector for accumulation of wealth within the economy. Moreover, Keynesian economics has also failed to model the connection between the manufacturing output and the government investment. Since, it is very important to form a relationship between these variables as it will help in estimating the contribution of government investment to the growth.
The
analysis done has proved that there is a strong connection between the public
investment and various other factors of the economy. The growth induces should
be better studies to get maximum results for the advanced and developing
economies. Moreover it can be concluded that production in the manufacturing
sector, costs, and profits in the economy change with change in the public
investment. Since, it has been found out that a higher amount of public
investment decreases the costs and improves the profits and reduced
levels of output. These kinds of changes in growth output can be recorded in
the data set collected during the period of 1980-1992[11].
2.5 Conclusion
Post-Keynesians universally reject the different
versions of the neoclassical economy which they consider inappropriate[12].
To analyse modern capitalist economies and their inherent characteristics such
as depression, inequality of development, unemployment, economic cycles,
technological change; they strive to build an alternative economic theory that
is more right. According to them, an institution such as companies, labor,
unions, credit contracts, government regulation, and etc. structures the
economy. Economic behaviour is largely determined by these institutions, so
they give some importance to microeconomic and macro analysis.
At the macroeconomic dimension, the specialists
stress that what's to come is fundamentally uncertain. It pursues that people
are not maximizing specialists and that they are neither omniscient nor
all-powerful, as opposed to what the mainstream claims. The rate of GDP growth can be easily
influenced by the correct direction. This factor can be seen through analysing
the economic progress of different countries. The most important components of
this policy are balance of payments control, output enhancements, interest rate
balance and investment enhancement etc. Or maybe,
they settle on choices based on general guidance that enable them to deal with
arrangement with fragmented and complex information. These standards of behaviours
are also intensely affected by social standards and conventions, which can
prompt stability (such as, nominal wage contracts that stabilize price levels),
just as instability (e.g. model due to gregarious behaviour on the money
related markets). Essential vulnerability likewise shapes the behaviour of
organizations operating in imperfectly aggressive markets, making them value
producers and quality takers[13].
Post-Keynesians views industrializing economies
as profoundly beneficial, yet flimsy and conflicting. Financial activity
determined by effective interest, which is commonly deficient to generate full
employment and full usage of limit[14].
Variances in successful interest are mainly due to changes in speculation
spending, particularly residential venture, which is thus emphatically
influenced by the operator’s expectations. Because of the fundamental
uncertainty about the future expectation of the economic agents influenced by
social conventions and the various rules of behaviour. In the midst of for the
most part hopeful desires, venture requests can support, and after that trigger
a period of solid credit development, capital gathering, and pay age[15].
To finance, investment expenditures, new credits created. At that point,
financial yield and work resolved in the product's market as per the dimension
as the venture asks. Cash spent on speculation shows up as salary in the store
records of different business visionaries or family units. A credit-venture pay
part is in this way built up and speculation request makes comparing investment
funds. For the procedure of the new investment goods, the income generates
stimulated consumer demands. In the event that all goes well when the payment
obligation fulfilled when the expectations of the agents confirm the case, and
after that economy thrives. Monetary and real factors figure a potential
economic equilibrium that assumes KTE. Be that as it may, unexpected changes in
desires can bring the economy out of balance. There were phases of solid
development because of hopeful desires trailed by uncommon lulls, which are
often incited by cynical desires, appropriation clashes or budgetary delicacy.
This discourages speculation and customer spending, negates pay desires and
initiates a time of default on obligations, and at last financial emergency[16].
These were periods of extension and retreat saw as foundational highlights of
financial economies of creation, relieved by establishments and monetary
arrangements that help support desires and monetary movement and, in this way,
diminishes financial development and vulnerability about what's to come. As
indicated by our exploration, work isn't dictated by the work advertises, but
instead of the interest for work, itself controlled by a total interest in the
merchandise showcase and not by the genuine compensation rate. Be that as it
may, the work market decides ostensible wages and in this way the ostensible
unit of work costs. This impacts the general dimension of costs and on
swelling, just as on to take possession of salary. In contrast to the universal
economy, in EPK the value level isn't dictated by, dimension of cash supply,
nor is the rate of swelling controlled by the development rate of the cash
supply. Therefore, post-Keynesians don't view expansion as a financial wonder[17].
Rather, expansion viewed as the cause of an uncertain distributive clash. This
contention brought about by clashing requests on, dispersion of salary among
the principal social classes, workers of various parts or ventures, business
visionaries and writers (IE people who get paid from the capital, from land
resources or budgetary), and the rest of the world in an open economy. For
instance, if the genuine pay focus of specialists or associations is in a
struggle with the corporate benefit focus on, the expansion in ostensible wages
passed on to that of costs, which will prompt swelling if firms have estimating
power. While expansion is a standard after effect of the compensation bartering
process, even in "ordinary" times, it very well quickened by abrupt
increments in the cost of contributions, for instance in view of cash
deterioration or currency devaluations[18].
CHAPTER 4:
ANALYSIS, DISCUSSIONS AND RESULTS
4.2 First Stage Data Analysis
All
variables are measured using data for a period of 1977-2017 except for Debt as
percentage to GDP variables, where the data starts from 1988.The Table 4.1
shows the descriptive statistics of the data and the variables. Net taxes and
Debt ratio. All these variables are calculated as GDP ratio. The Real GDP has the mean value of 9.71% ,
capital expenditures has 9.16%, gross fixed capital formation has 26.72%, net
taxes has 14.04% and Debt to GDP ratio is 110.54.The higher mean value is of
the gross foxed capital ratio which is 26.72%.
The median value of Real GDP is 9.68, capital expenditure has 8.02,
Gross fixed capital formation has median value of 25.62, net taxes have median
value of 13.72 and the debt ratio has median value of 99.64.
Table 4.1:
Evaluation of data for descriptive statistics
LRGDP CAPEX GFCAPFORM NETTAX DEBT
Mean 9.714715 9.16524 26.72253 14.04068 110.5487
Median 9.681396 8.026771 25.62031 13.72469 99.644
Maximum 10.06606 18.81518 43.8324 17.17743 219.734
Minimum 9.262356 3.074822 18.27209 12.27213 60.244
Std. Dev. 0.217926 4.267904 5.955852 1.230504 43.05933
Observations 40 40 40 40 29
The highest
median value variable is Debt to GDP ratio. The maximum value of Real GDP is
10.06 and minimum is 9.26, maximum value of capital expenditures is 18.81 and
minimum value is 3.02. The maximum value
of Gross fixed capital formation is 43.83 and minimum value is 18.27, net taxes
have maximum value of 17.17 and minimum value is 12.27. The Debt to GDP ratio
has the maximum value of 219.73 and minimum values are 60.24. Comparing all the variables, the highest
maximum value and highest minimum value is of Debt ratio. The number of observations of debt ratio are
29 and all the remaining variables have the 40 observations. The standard deviation of real GDP is less as
compared to all other variables shown in the Table 4.1. The high standard
deviation variable is Debt to GDP ratio.
The data
helped to categorize the range to which independent economic variables may
affect the dependent variables, the highest and lowest values, the distance
between the data and the mean, its dispersion as indicated by standard
deviation, and the mean of the variables shows its high or low value.
Results of the econometric model,
hypotheses test, coefficients among variables (economic growth, internal and
external debts, public revenues, public expenditure, exports, and inflation)
during the period 1976 to 2017 are also included. Due to the developments in
macroeconomics and time series analyses, statistical features of time series
become disturbed with the stationary or non-stationary of these series. The
present study applies unit root tests, such as the Dicky-Fuller test, to detect
whether the data obtained from the variables are stationary or non-stationary.
Lag periods
are recognized to find out a variable has a trend that it can be assimilated
within various regression processes, when a trend found in the data of
variables in an economic model results in the impact of this trend on the
coefficients of the other variables. If a time series proves non-stationary at
a level, the first difference is measured, and a stationary test is approved
again. If it proves non-stationary, the second difference is considered, and so
forth, until the time series can be described as stationary. Stationary time
series are not found in lag periods higher than the first rate. So, the
augmented Dicky-Fuller test for the first lag may not be convenient to show
stationary time series. The study uses one type of augmented Dicky-Fuller test
that provides the higher lag.
4.2.1 Correlation Analysis
A
method of statistical evaluation used to study the strength of a relation
between two, continuous variables, numerically measured (e.g. weight and
height) is stated as correlation analysis. If there is a possible connection
between variables which a researcher wants to establish this particular type of
analysis is very useful. It is often misunderstood that cause and effect are
determined by correlation.
The
ordinary covariance analysis for
the real GDP, capital expenditures, gross fixed capital formation, net taxes
and Debt ratio has been done. The Table
4.1 shows the probability and correlation between these variables.
Table 4.2:
Correlation and the probability matrix between the variables LRGDP, CAPEX,
GFCAPF, NETTAX and DEBT
|
|
LRGDP
|
CAPEX
|
GFCAPF
|
NETTAX
|
|
CAPEX
|
-0.726883
(0.0000)
|
|
|
|
|
GFCAPF
|
-0.062504
(0.7474)
|
0.033565
(0.8628)
|
|
|
|
NETTAX
|
0.581132
(0.0009)
|
-0.462687
(0.0115)
|
0.296079
(0.1189)
|
|
|
DEBT
|
-0.822723
(0.0000)
|
0.613436
(0.0004)
|
-0.039656
(0.8382)
|
-0.476724
(0.0089)
|
The table shows the covariance analysis and
probabilities of variables. The covariance between Real GDP and capital
expenditures is -0.72 and the probability is less than 0.1 which shows both are
highly significant for each other. The highest covariance is between real GDP
and Debt ratio which is 0.82 and it is highly significant showing by the
probability ratio. The covariance
between gross fixed capital formation and real GDP is -0.062 and the
probability is 0.74, gross fixed capital formation covariance with capital
expenditure is 0.03 and probability value is 0.86. The covariance of debt ratio
is strong with every variable and the highest and lowest covariance is with
real GDP and capital expenditures.
4.2.2 Stationary Analysis
Financial time
series data (such as exchange rate, inflation, GDP, and other macroeconomic
indicators) is used by financial institutions and corporations, also by
researchers and individual investors in economic forecasts, analysis, studies,
or stock market of the data itself. Stationary analysis is one of the most
important study for measuring the properties of the given time series. It also
plays an important role in making use of data to complete the analysis in a
accurate and proper way possible.
In the first step of this analysis
we have analysed the time series and measured
the relevance of all the given variables. It also helps us to test the
stationary nature of given variables. The GDP growth and sector capital
expenditures are two most important variables used by our research. Refining
data is the key in order to apply it to your stock analysis . The result shows that all the variables are
not stationary and extracted stationary by first differencing. The results of
the ADF model are estimated with 2 lags. The presence of more lags would have
worn the degrees of freedom. The used data covered the period 1977 – 2017.
Table 4.3:
Results of Augmented Dickey Fuller test
By
applying the test again after including the first difference, these variables
became constant. Thus, the time series of the study an integration of order I.
According to Engle and Granger (1987), in order to perform a co-integrated
test, all variables must have the same stability as that which appears from the
variables of the first model.
4.2.3 Multiple Regression
Analysis - Long-run and short-run dynamics of Economic Growth
. The long run and short run relations are
calculated in the Table 4.4.
Table 4.4 shows that the short run relationship
exists between real GDP and capital expenditures and that relationship shows
that they are equilibrating.
Table 4.4: Short Run results
|
Independent variable
|
F-statistic
|
Minimum critical value
|
Maximum critical value
|
Result
|
|
CAPEX
|
9.47365
|
7.46
|
8.27
|
Equilibrating relationship exists
|
|
GFCAPF
|
3.1886
|
7.46
|
8.27
|
No Equilibrating relationship exists
|
|
NETTAX
|
4.661686
|
7.46
|
8.27
|
No Equilibrating relationship exists
|
|
DEBT
|
72.46238
|
3.88
|
4.92
|
Equilibrating relationship exists
|
The results of the long
run coefficient of the ARDL model show that the capital expenditures and debt
to GDP ratio affects significantly and long run relationship exits. The
estimated coefficients of the long run relationship show that economic growth
has a very significant impact; the coefficient is positive and statistically
significant except net taxes it is negative or insignificant.
Table
4.5: Long-run coefficients of the Autoregressive distributed lag (ARDL) model
|
Independent
variable
|
Long-run
coefficient
|
Std. Error
|
t-Statistic
|
Prob.
|
|
CAPEX
|
0.02195
|
0.007861
|
2.792256
|
0.0097
|
|
GFCAPF
|
0.001986
|
0.00242
|
0.820749
|
0.4179
|
|
NETTAX
|
-0.01826
|
0.018884
|
-0.96707
|
0.3412
|
|
DEBT
|
0.053341
|
0.004254
|
12.53837
|
0
|
4.2.4 Cusum Model Stability Test
The figures showing that Cusum model stability test of
the ARDL models of LOG GDP and the dependent variables.
4.2.4.1 Capital
Expenditures
Capital expenditures also known CapEx
are financial money utilized by the country to maintain and acquire physical
assets present in the overall economy. The list of physical assets includes
buildings, property, real estate, equipment, technological assets etc. The
expenditures on maintenance and upgrading of these assets are also included in
the CapEx expenditures.
CapEx analysis has helped us to
analyse various new and beneficial projects undertaken within economy through
making capital investments. CapEx investments are also made companies to
increase and maintain the economic scope of any company. CapEx investments in
the economy also include purchasing a piece of physical equipment, repairing a
roof and building a new factory. The scope of the economy can easily be increased
through making these kinds of investments throughout the economy. CapEx is often used to undertake new projects or
investments by the firm.
Fig. 4.1 shows the Growth of GDP.
The GDP growth is instable as the blue line crosses the 5% significance
level (critical lines).
Fig.4.1: ARDL (3,4) for LogRGDP and capital expenditures as % GDP
4.2.4.2 Gross Fixed Capital Formation
Capital good formation is one of
the most important factors for the economic growth. This is one of most
important things extracted from theoretical attribute . This assertion is
observed both in theoretical and empirical literature. Our study also proves
that capital accumulation contributes to improve various level of production
within an economy. The endogenous growth
theory was created by Romer and it is also applied in this study. Our analysis
has also proved that research, infrastructure, human capital,
infrastructure, and development helps in accelerating the gross capital formation. This thesis is
supported by many previous studies made by economic analysts like Romer. The
growth supported by the capital formation is aided by investment projects taken
place within construction, public works and extractive industries.
Fig. 4.2 shows the gross fixed capital
formation. It shows that in the start the GFCF is stable and when move upward
it become instable as shown in the graph (Fig. 4.2). The blue line representing
the GFCF crosses the red line (Critical lines) indicating the instability.
Fig. 4.2: ARDL (2,1) for LogRGDP and
Gross Fixed Capital Formation as % GDP
4.2.4.3 Net
Taxes
Taxes
are most important components of any economy. The taxation structure and amount
helps us to measure the strength of any economy. The net taxes analysis helps
us to measure the total tax burden as compared to the overall economy.
The stable tax bases are very important for
getting good measurements for any economy as they help in getting good results
for any economy. Our analysis also helped us to calculate the disaggregated
structure of taxation matters for long term economic growth.
Our
analysis also proves that high tax rates are very harmful for the economy and
that can really create managerial and economic problems for the country. Advanced
economies always try to impose low rates of taxes for businesses as it helps
them to flourish in the short and long term. In addition to that various
studies have proved that sometimes empirical evidence distorts the long term
and short growth projections of the economy.
Fig.
4.3 shows the Net taxes, which is stable because the blue line lies under the
critical lines. The plots and test results at the command line indicate that
neither test rejects the null hypothesis that coefficients are stable.
Fig. 4.3: ARDL (3,1) for LogRGDP and Net
Tax on Production as % GDP
4.2.4.4 Debt to GDP ratio
Fig. 4.4 shows Debt to
GDP ratio and the coefficients are stable because it lies under the critical
values and 5% level of significance. The debt-to-GDP ratio is a very essential
metric for any economy. The debt to gdp ratio is a ratio of public debt to
gross domestic product of the country. Our debt to gdp ratio analysis helped us
to measure the country's capacity to pay back all its debts within the given
Frame of time. This ratio can also used
to measure the years a country will take to payback its all debt by utilizing
all its gdp for the debt repayment exercise. Since this is one of the important
principles of the Keynesian economics.
Modern economists
believe that country should dedicate certain amount for the debt repayment as
it will help it to maintain certain growth rates in next few years. It must be
noted down that high debt to GDP ratio can be harmful for the country as it will
eat up most of the GDP produced by the country in the given year.
Fig.4.4: ARDL (1,1) for LogRGDP and General
government gross debt as % GDP
4.3 Second Stage Data Analysis
|
Sector
Gdp Growth
|
Sector
Capital Exp
|
|
|
Mean
|
4.392705
|
44.29575
|
|
Median
|
4.604988
|
14.75206
|
|
Maximum
|
55.1124
|
661.5051
|
|
Minimum
|
-46.0311
|
-3.85667
|
|
Std. Dev.
|
10.78537
|
77.71227
|
|
Observations
|
264
|
264
|
4.3.1 Correlation Analysis
The dependency between two features of an object
(material, process, ...) are examined with the correlation and regression
analysis ( multivariate analysis method ).
If there is a functional relationship between x and
y, then a sample correlation coefficient r can be given, which is an estimate of
the "true" parameter ρ (Rho). The correlation analysis examines correlations
between random variables on the basis of a random sample. A
method of statistical evaluation used to study the strength of a relation
between two, continuous variables, numerically measured (e.g. weight and height)
is stated as correlation analysis. If there is a possible connection between
variables which a researcher wants to establish this particular type of
analysis is very useful. A measure of
the strength and direction of a linear correlation is the correlation
coefficient r . If r 2 = 0 there is no correlation. The coefficient
of determination thus represents a measure of the quality of the adaptation.In
addition to the assessment of the coefficient of determination by approximation
to 1, the t-test is suitable for testing the statistical significance of the
assumed relationship between the characteristics x and y.
4.3.2 Stationary Analysis
Pedroni Residual
Cointegration Test between
Sectors GDP growth and sectors capital expenditures:
|
Weighted
|
||||
|
Statistic
|
Prob.
|
Statistic
|
Prob.
|
|
|
Panel
v-Statistic
|
3.492483
|
0.0002
|
0.09222
|
0.4633
|
|
Panel
rho-Statistic
|
-10.7059
|
0
|
-9.31612
|
0
|
|
Panel
PP-Statistic
|
-10.7722
|
0
|
-10.4872
|
0
|
|
Panel
ADF-Statistic
|
-4.91388
|
0
|
-5.9378
|
0
|
Augmented
Dickey-Fuller results (parametric)
4.3.3 Multiple Regression Analysis - Long-run and
short-run dynamics of Economic Growth
1- Long-run
coefficients of the Autoregressive distributed lag (ARDL) model:
|
Independent variable
|
Long-run coefficient
|
Std. Error
|
t-Statistic
|
Prob.
|
|
sectors capital expenditures
|
0.006193
|
0.006159
|
1.005609
|
0.3157
|
2- Speed of
adjustment of errors in equilibrium (short run coefficient ) between Sectors GDP growth and sectors
capital expenditures:
4.3.4 Cusum Model Stability Test
The
figures showing that Cusum model stability test of the ARDL models of Sectors
GDP Growth and the dependent variable
(Sectors Capital Expenditures)
|
|
4.4 Third Stage Data Analysis
4.4.1 Correlation
Analysis
The correlation analysis is done between
contribution to GDP growth and
contributions to capital
formation growth.
This analysis is made on 264
observations. There is huge difference between the standard deviation of contribution to GDP growth and contribution
to Capital Formation growth. The standard deviation for gdp growth is 0.87 as
compared to the 5.96 standard deviation of the capital formation growth. There
is huge difference between the mean and median of the contribution to GDP
growth and contribution to, Capital Formation growth. The mean of the GDP growth
is 0.35 as compared to mean 1.05 of the capital formation growth.
here is huge difference between the mean
and median of the contribution to GDP growth and contribution to Capital
Formation growth. The median of the GDP growth is 0.26 as compared to mean 0.24
of the capital formation growth.This
data has been applied to the
various sectors of the economy such as
construction, electricity etc,
4.4.2 Stationary
Analysis
Stationary analysis is one of the most
important study for measuring the properties of the given time series. It also
plays an important role in making use of data to complete the analysis in a
accurate and proper way possible.
In the first step of this analysis we
have analysed the time series and measured
the relevance of all the given variables. It also helps us to test the
stationary nature of given variables. The GDP growth and sector capital
expenditures are two most important variables used by our research. The
research given in the Table proves that most of the variables are stationary as
calculated though first stationary test. All the tests have Elon reasonable
degrees of freedom.
The application of the second test shows
that most of the variables are not constant. Since, this test is done with the
integration of the order I. The test of
the order 1 is performed and it has proved that all the variables don’t have same level of stability
as compared with each other.
4.4.3 Cointegration
test
Co-integration is a very important thing for
analyzing various kinds of economic variables. It is mostly used to measure the
long term connection between the various kinds of economic variables of any
country. Co-integration is used mostly for poorly predictable economic
variables. This can be categorized with
the error correction model for making long term and short term changes within
any economic model. This can be seen for measuring various kinds of variations
for short term dependence on the
economic variables within the time series. Pedroni Residual Cointegra tion Test
: sectors contribution to GDP growth and sectors contribution to Capital
Formation growth are cointegrated as the following result:
The pedroni residual co integration test conducted
by our team there is a negative relationship between various variables our study.
Since, this test shows that most of the time statistics and probabilities have
brought a negative result. This negative results shows a inverse relationship
between GDP and various other sectors of the economy such as agriculture,
industry, services etc.
This Co integration test sheds light on the number
of cointegration relationship and its functional form by following different
criteria:
- The criterion of the trace and minimum eigenvalue
- The information criteria
We performed the cointegration test based on the
comparison the likelihood ratio to its
critical value. The assumption of the test is
formulated as follows:
H0: There is a cointegration relationship;
H1: There is no cointegration relationship.
4.4.4 Regression Analysis
The regression analysis was started in 19th century
to make use of economic data to know relationship between various variables.
The future technological revolution helped experts and scientists to create
regression analysis for economic use. Scientists utilized various electronic
calculators to create regression analysis through spending money and punching
computer cards. One wrong punch would
cancel the whole attempt to create regression analysis. It is very essential
for operating lots of regression analysis for future economic analysis. The
regression analysis adjusts the dependency between two features (see also
multiple linear regression ) of an object of a regression equation:
If there is a linear relationship between y and x -
y is the dependent (random) feature and is referred to as the target variable,
the feature x is the independent variable (influencing variable) - we speak of
linear regression :
y = a + bx
The parameters a and b are calculated (estimated)
from the feature data x and y according to the method of least squares (also
called least squares estimation or KQ estimation for short).
Conclusion
We
have conducted long run, short run, cusum analysis, stationary analysis and
bound test results. Its real function is to answer in a synthetic way your
initial question, to specify to what extent your hypothesis has been confirmed
or invalidated. It frequently leads to a reformulation of initial questioning.
This method of complex mathematical calculations is based on probability
formulas, adapted to the financial system. It then becomes possible to evaluate
the value of financial instruments and their derivatives. This system helps
finance professionals better manage their portfolios. They can then minimize
the risks while retaining the same profits . This is multivariate statistical
analysis technique to explain the behaviour of a variable (explained or
dependent) using other variables (explanatory or independent). This analysis
has showed there is a strong connection between the GDP and various other important
variables such as Forestry and Fishing , mining and Quarrying. This analysis
will also help me to understand the future use of Quantitative analysis in the
future analysis of GDP. The GDP growth is positively related with various
economic sector variables such as agriculture Forestry and Fishing ,mining and
Quarrying ,manufacturing ,electricity and Water, construction, wholesale &
Retail Trade, Restaurants & Hotels ,Transport, Storage & Communications
,producers of Government Services, community, Social and Personal Services,
finance, Insurance, Real Estate & Business Services ,Producers of Private Non - Profit Services to Households.
The presentations of the methods and notions are accompanied by concrete
examples, resulting from real surveys. All elements are provided to understand,
analyse and produce data, whether in sociology or in the fields of studies,
marketing, opinion polls or behavioural surveys.
CHAPTER 5: Conclusion and Recommendations
5.1 Introduction
In
Chapter 4 statistical data analysis was carried out using regression analysis..
In Chapter 5, conclusions will be highlighted followed by recommendations from
this research.
5.2 Conclusions
5.2.1 Role of Government legislation in improving
economic growth
Government
legislation on public expenditure plays an essential role in fostering economic
growth by balancing the country’s revenues and expenditures. Al Bataineh (2012)
claimed when the economy experiences recession, increased government spending
will elicit a rise in the aggregate demand thereby assisting the economy to
gradually recover[19].
What influence
does government spending have on growth of the economy was considered by Laudau
for 96 countries. The inverse relationship was seen between government spending
and economic growth. After studying about the economy of Thailand, Brahmasrene
and Kormain undermtook some tests to
determine causality. No direct correlation was seen between the two in the
results but specified a casual connection. The reason was that this kind of
instigation is very important between the government expenditure and growth of
the economy.
Barro determined
the relationship of spending on investment and other high yielding practices as
positive while that of government expenditure leading to cascading effect.
We all know,
economy as a whole is managed by the government by the usage of public
spending. This further elevates the growth in the economy. Other significance
of government consumption incorporates the arrangement of those offices that
are not secured by the market economy.
Human capital
advances high advantage related with monetary development, however the
budgetary source for public use which is the tax collection lessens the
advantages of the citizens and in that capacity diminishes the advantages
related with financial development.
In practical
literature there are always two sides, half of the researchers (Gupta et al., 2002),
believing that no such influence of government spending occurs on
economic growth while a few assumed that there is a negative relationship among
the two (Folster and Henrekson,
1999).Some also supposed the relationship to be insignificant.
To attain
justifiable development, economic growth is a fundamental element where money
spent on assets is called capital spending. It is the buying of things that
will last and will be utilized over and over again in providing products and
services such as construction of a hospital, buying new instruments, replacing
broken roads and much more. In the provided original paper, absolute capital
government spending rate will be proxied by total capital government
expenditure separated by GDP. The rate shows an impression of government capital
usage that tends to improve economic development in Nigeria.
In the past few
years, half of the policy advisors believe that development of the government
sector advances toward the growth of the economy while others presumed it to be
hindering the economic growth. Government supporters’ viewpoint it that
governmental policies help to provide the luxurious necessities for example
Education and infrastructure development.
A government
department can continue doing its work despite of not having its need. Its
managers and the relevant officer will not easily give away its authority. The
outcome is redundant products, squandering faculty, which could give way to
production that gives prosperity and advantage to people in the economy.
Also, they
threaten that growth strategies are hindered by the expansion of government
department because the opponents can utilize the presence of budget deficits
with an opportunity restrict policies which would further help in building up
the economy. To see which side of the argument has more weight, this research
scrutinizes the influence of government spending on economic growth from 1987
to 2010. The findings of this article depicts that government spending had both
positive as well as negative effects on the growth of economy and capital
spending had an inverse and non-significant relationship with economic growth. [20].
5.2.3 Capital expenditures has positive and
significant impact on economic growth
Our research has found out that various
kinds of expenses such as housing, community, health and capital expenditures
etc directly affect the economic in countries like Jordan. However, it is also
true that current expenses like expenditures on education and social
communities not directly affect the economic growth of countries like Jordan.
This is also close to the analysis made by the Akpan’s (2005). He believes that
there is a very good connection between the components of the economic growth
and various kinds of government expenditure. According to the Olopade and
Olepade (2010) there is no strong connection between various aspects of the
economic growth and public expenditures. However, this analysis truly close to
the comments and claims made by the Ogiogio (1995) who believed that
current expenditures play more influential role than the capital
expenditure for affecting the economic growth of countries like Jordan. In
addition to that experts like Abu Al-Foul and Al-Khazali (2003) believe that
economic growth can really affect the growth of rich country like Jordan. Since,
it is a known fact that government expenditures always helps in improving
aggregate income level of a country. Since, it always leave a positive effect
on the growth of the GDP and that is very close to the arguments made by
Keynes. The collective effect of the above mentioned components is
successfully proved through F-Statistic and its probability[21].
Therefore, it can be said that this
research study proves that public expenditures improves the income level
through flow of money all inside the economy. Moreover it can be said that
variables used in the above mentioned economic models correctly explain the 93
% and 98 % variations in the data used during our research. In addition to
that, it should be noted that all determinants of growth are present in the public
expenditures and also in the Keynesian model of growth.
According
to the Lynde and Richmond(1993),there is an ample evidence that investment
oriented fiscal policy is mostly connected with various growth indices present
in the economy[22]. The
list of these growth indices include factors of production, costs of
production, manufacturing costs, and production costs[23].
However, it should be kept in mind that all these are supply side econometric
variables used by the economists.
Additionally, government authorities
must keep in mind that it is very important to form a true connection between
the private output and state intervention. Therefore, to form this true
connection it is very important to increase the productivity of the private
businesses and also to improve the investment climate within the economy. It
should keep in mind that it will also improve the economic climate and it will
help government to reduce the cost of production. Moreover, it will also
increase the Profitability of private firms working in the economy.
5.3 Recommendations
5.3.1 Policy makers should take guidance from
this research work to formulate fiscal approaches aimed at improving the
economic growth of the country.
5.3.2
Policy review on the allocation of
public expenditures among different components of Jordanian government
expenditure should be done taking inspiration from this study.
5.3.3
The examination of sectorial
budgetary allocations should also be done based on the guidelines of this
study.
5.3.4
The findings of this study will act
as preliminary guidance for further examination of the subject.
5.3.5
Being a small economy, Jordan’s
underdeveloped infrastructure in some of the sectors that do not have proper
infrastructure and in many other sectors in which the infrastructure have
seriously deteriorated should modernize the infrastructure and improve it.
5.3.6
The government’s capital
expenditures should be spent to enable providing public services like
infrastructure.
5.3.7
The findings of this research
should be used in making improvements in Jordan’s fiscal, monetary policies.