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STAT2000 Quantitative Analysis

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  • Course Code: STAT2000
  • University: Laureate International Universities
  • Country: United States

Question:

The Specific research questions that the paper addresses are as follows.

How manufacturing value added influences economic growth of a nation?

How share of FDI inflow affects economic growth of a nation?

 

Answer:

Introduction

Economic growth is measured as a percentage change in aggregate output as compared to the previous year. Economic growth of a nation depends on different factors (Tsoku et al. 2017). Of these factors particular interest of the paper is to evaluate the impact of manufacturing value added and foreign direct investment on economic growth.

Background of the research 

The economic growth law as proposed by Kaldor suggests that there exists string positive relationship between growth of aggregate output or GDP and growth of manufacturing. The law states the direction of relationship as it runs from manufacturing growth to aggregate output. Manufacturing not only contributes to a larger portion of GDP but it also regarded as a main drivers of economic growth. The importance of manufacturing lies in two significant factors. Firstly, it produces a higher return for the nation. Secondly, the use of advanced technology in manufacturing lead to an increase in employment (Adugna 2014). A study based on 86 countries for the period ranging from 1970 to 2009 analyzed the relationship between growth of manufacturing export and economic growth. The author found manufacturing sector to be beneficial for economic growth. The study suggests a positive relation between manufacturing expansion and economic growth (Sheridan 2014).

Inflow of foreign fund is another crucial factor affecting economic growth. Economic growth of a nation depends on the growth in productive capacity which is determined from saving and investment of a nation. In an integrated world, foreign direct investment has become an important source of economic growth (Dornean and Oanea 2013). There are several linkages between economic growth and FDI. These include learning by doing, human capital, export, stability in macroeconomic environment and other financial development. Based upon these determinants FDI flows affects economic growth through three channels. These are direct transmission of capital through greenfield investment, indirect flow in form of ownership participation and spillover through technology (Clowes and Bilan 2014).

 

Literature Review and Hypothesis development 

Hypothesis 1

Null Hypothesis: There exists no significant relationship between economic growth and manufacturing

Alternative Hypothesis: There exists a statistically significant relationship between economic growth and foreign direct investment

Hypothesis 2

Null Hypothesis: Foreign direct investment has no significant influence on economic growth of a nation.

Alternative Hypothesis: Foreign direct investment has a significant influence on economic growth of a nation.

Methodology

In order to model the relationship between economic growth, manufacturing and foreign direct investment time series data are collected for different nations. A sample period ranging from 1996 to 2012 is taken into consideration. Apart from variables like economic growth, manufacturing and foreign investment other related variables like private credit, remittances, services, workforce participation, wages, inflation, inequality, income, control of corruption and stability. The relevant data are collected from Word Development Indicators and Word Governance Indicators.

Model and estimation process

The best way to establish a causal relation between two or more variables is to develop a multiple regression model.  Multiple regression is a powerful statistical tool that is used for predicting a dependent variable based on its relationship with two or more variables (Chatterjee and Hadi 2015). The multiple regression model used in the paper is as follows

Dependent variable: Growth

Independent variables: Manufacturing and foreign direct investment

Control variables: private credit, remittances, services, workforce participation, wages, inflation, inequality, income, control of corruption and stability.

Error term captures the influence of unpredictable events or shocks on the dependent variable.

 

Descriptive Statistics

Table 1: Descriptive Statistics for Economic growth, Manufacturing and Foreign Direct Investment

Growth

Manufacturing

Foreign direct investment

 

 

 

 

 

 

Mean

4.101414222

Mean

17.1120782

Mean

5.1302471

Standard Error

0.145212955

Standard Error

0.201004194

Standard Error

0.256125875

Median

4.1497642

Median

16.8686835

Median

3.2698942

Mode

5.9

Mode

#N/A

Mode

#N/A

Standard Deviation

4.307712398

Standard Deviation

5.962747997

Standard Deviation

7.597921317

Sample Variance

18.55638611

Sample Variance

35.55436367

Sample Variance

57.72840834

Kurtosis

10.38638801

Kurtosis

0.477179236

Kurtosis

25.40585474

Skewness

0.39266564

Skewness

0.185970841

Skewness

3.146020994

Range

55.439938

Range

34.0817719

Range

129.776097

Minimum

-17.954994

Minimum

1.5501441

Minimum

-55.065499

Maximum

37.484944

Maximum

35.631916

Maximum

74.710598

Sum

3609.244515

Sum

15058.62882

Sum

4514.617448

Count

880

Count

880

Count

880

The average economic growth is obtained as 4.10%. The estimated standard deviation from the descriptive statistics is 4.30. As the value of standard deviation exceeds that of its mean, the distribution of growth is highly volatile. Median growth rate is 4.15% indicating exactly half of the sample period the nations experience a growth rate of 4.15. The distribution is positively skewed with value of skewness being 0.39 and value of kurtosis is 10.39. In the sample period, the maximum growth rate recorded to be 37.48% while the minimum growth rate is -17.95.

The average share of manufacturing in GDP is obtained as 17.11. The estimated standard deviation from the descriptive statistics is 5.96. As the value of standard deviation is lower than that of its mean, the distribution of manufacturing share is not much volatile. Median share of manufacturing is 16.86 indicating exactly half of the sample period the nations experience a manufacturing share of 16.86. The distribution is positively skewed with value of skewness being 0.18 and value of kurtosis is 0.47. In the sample period, the maximum share of manufacturing value added is recorded to be 35.63% while the minimum share of value added be 1.55%.

The mean share of FDI in GDP is estimated to be 5.13. The estimated standard deviation from the descriptive statistics is 7.60. As the value of standard deviation exceeds that of its mean, the distribution of FDI inflow is highly volatile. Median percentage of FDI inflow is 3.26. The distribution is positively skewed with value of skewness being 0.3.14 and value of kurtosis is 25.41. The percentage of FDI inflow is as high as 74.71 and as low as 55.07.

Analysis of correlation 

Table 2: Correlation between economic growth and independent and control variables

From the correlation matrix economic growth is likely to be negatively correlated with manufacturing value added. So far as foreign direct investment is concerned, it has a positive relation with economic growth.

 

Growth

Growth

1

Controlofcorruption

-0.2454046

Stability

-0.18263531

Manufacturing

-0.102811026

Services

0.100827264

Privatecredit

-0.320159758

Foreigndirectinvestment

0.168186013

Workforceparticipation

-0.042583221

Wages

-0.337342485

Remittances

-0.272313733

Inflation

-0.002756515

Inequality

0.100211719

Income

-0.291307488

Income2

-0.226188767

Regression Analysis 

Table 3: Results of regression

Regression Statistics

Multiple R

0.47

R Square

0.23

Adjusted R Square

0.21

Standard Error

3.82

Observations

880

ANOVA

 

df

SS

MS

F

Significance F

Regression

13

3679.317

283.024

19.403

0.000

Residual

866

12631.746

14.586

 

 

Total

879

16311.063

 

 

 

 

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

13.726

2.002

6.855

0.000

9.796

17.655

Controlofcorruption

0.918

0.298

3.079

0.002

0.333

1.502

Stability

-0.058

0.242

-0.238

0.812

-0.533

0.417

Manufacturing

-0.078

0.025

-3.145

0.002

-0.127

-0.029

Services

-0.001

0.032

-0.036

0.971

-0.065

0.063

Privatecredit

-0.016

0.004

-3.854

0.000

-0.024

-0.008

Foreigndirectinvestment

0.123

0.018

6.652

0.000

0.087

0.159

Workforceparticipation

-0.001

0.019

-0.043

0.965

-0.038

0.037

Wages

-0.131

0.020

-6.602

0.000

-0.169

-0.092

Remittances

0.013

0.011

1.117

0.264

-0.010

0.035

Inflation

-0.063

0.016

-3.804

0.000

-0.095

-0.030

Inequality

0.016

0.017

0.944

0.345

-0.017

0.048

Income

-0.105

0.056

-1.880

0.060

-0.214

0.005

Income2

0.001

0.001

0.958

0.338

-0.001

0.002

 Based on the regression result the regression equation is estimated to be

The multiple R square estimate from the regression model is obtained as 0.47. This mean the independent and control variables together explain 47 percent variation in economic growth. The coefficient of manufacturing value added is -0.078. The negative coefficient implies a negative relation between manufacturing and economic growth. The corresponding coefficient of foreign direct investment is 0.123. This shows foreign direct investment has a positive influence on economic growth. Both the variables are statistically significant as obtained from the significant P value (value less than 0.05).

 

Discussion 

Hypothesis 1: Economic growth and manufacturing 

The first hypothesis proposes that manufacturing does not have any significant influence on economic growth.  The regression result however does not support this claim. An inverse significant relation is found between economic growth and manufacturing. This states that with increase in share of manufacturing value added economic growth of a nation declines. This result however goes against the standard norms of development theory. It is widely argued that as a nation transforms from the state of a developing nation to a developed one the share of agriculture in GDP decreases while that of manufacturing and services increase (Johnson 2014).  This might be the case that for developed nation after experiencing a rapid industrialization, further addition of value added in GDP has a negative influence as found in the current paper.

Hypothesis 2: Economic growth and foreign direct investment 

The second hypothesis possesses that no significant relation exists between economic growth and foreign direct investment. Findings from regression suggest foreign direct investment significantly influence economic growth in a positive manner. Foreign direct investment by providing additional capital extends the area of economic growth (Iamsiraroj 2016). Many resources in a nation remain unutilized due to lack of capital. Investment by foreign investors helps to use the unutilized resources and hence supports economic growth.

 

Conclusion 

The paper aims to find the influence of manufacturing value added and foreign direct investment on economic growth of a nation. An increase in manufacturing value added generally assumed to have a positive influence on economic growth. Manufacturing value added promotes economic growth by putting economic resources in a more productive way. Finding of this paper however contradicts the traditional norms. The paper establishes a negative significant relation between economic growth and percentage share of manufacturing value added. Another component that affect economic growth is inflow of foreign capital. In the presence of favorable environment investors invest in foreign nation to a higher return from invested capital. This benefits the domestic economy in terms of supporting more productive activities and hence, economic growth. The paper finds a positive influence of FDI flow on economic growth. That is increase in FDI inflow ensures a faster pace of economic growth.

 

References list 

Adugna, T., 2014. Impacts of manufacturing sector on economic growth in Ethiopia: akaldorian approach. Journal of Business Economics and Management Sciences, 1(1), pp.1-8.

Chatterjee, S. and Hadi, A.S., 2015. Regression analysis by example. John Wiley & Sons.

Clowes, D. and Bilan, Y., 2014. Tracking Income Per Head In Central-Southern Europe. Economic Computation & Economic Cybernetics Studies & Research, 48(2).

Dornean, A. and Oanea, D.C., 2013. Foreign Direct Investment And Post Crisis Economic Growth. Evidence from European Union. Revista Economica, 65(6).

Iamsiraroj, S., 2016. The foreign direct investment–economic growth nexus. International Review of Economics & Finance, 42, pp.116-133.

Johnson, R.C., 2014. Five facts about value-added exports and implications for macroeconomics and trade research. Journal of Economic Perspectives, 28(2), pp.119-42.

Sheridan, B.J., 2014. Manufacturing exports and growth: When is a developing country ready to transition from primary exports to manufacturing exports?. Journal of Macroeconomics, 42, pp.1-13.

Tsoku, J.T., Mosikari, T.J., Xaba, D. and Modise, T., 2017. An Analysis of the Relationship between Manufacturing Growth and Economic Growth in South Africa: A Cointegration Approach. World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 11(2), pp.428-433.

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