An Investigation into the Channel of Public Expenditure to Boost Industrial Productivity in Pakistan

2021 ◽  
Vol 3 (2) ◽  
pp. 93-105
Author(s):  
Atif khan Jadoon ◽  
Syeda Azra Batool ◽  
Ambreen Sarwar ◽  
Maria Faiq Javaid ◽  
Dur A Shahwar
Keyword(s):  
Public Expenditure ◽  
Time Series Data ◽  
Strong Association ◽  
Industrial Sector ◽  
Least Square ◽  
Series Data ◽  
Public Expenditures ◽  
Tfp Growth ◽  
Industrial Productivity ◽  
The Impact

It is a fact that public expenditure has a strong association with industrial productivity. The industrial sector recorded slow growth of 5.43%, which adds 20.90% to the GDP of Pakistan (2017-2018). This study aims to find the effects of public expenditure on Total Factor Productivity (TFP) in the industrial sector of the country. The study constructed two different models. In the first model, the study used time series data from 1975 to 2018, and the growth of adjusted TFP was calculated by the growth accounting method. In the second model, the study collected data from 1977 to 2018 and checked the impact of government expenditure on the TFP growth in the industry. The unit root tests, Ordinary Least Square (OLS), and Vector Error Correction Model (VECM) were employed. The findings of the study revealed that public expenditures on education were significant and positively related to TFP growth in industries. Public expenditure on health, agriculture, and inflation had a significant and positive association with TFP growth in the industries. Foreign direct investment had a negative but significant impact on TFP growth. The results of the present study suggest that industrial productivity can be increased by increasing the expenditure on education and health.

scholarly journals The Impact of Financing in Islamic Banking on Indonesian Economic Growth

2021 ◽  
Vol 25 (1) ◽  
pp. 111-116
Author(s):  
Rasyida Pertiwi ◽  
◽  
Ahmad Syathiri ◽  
Anna Yulianita ◽  
Imam Asngari ◽  
...  
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Industrial Sector ◽  
Least Square ◽  
Series Data ◽  
Islamic Banking ◽  
Construction Sector ◽  
Ordinary Least Square ◽  
The Impact

Abstract. Introduction. Islamic finance can play an important role in encouraging economic growth in Indonesia, namely by financing the real sectors. The role of Islamic banking in providing capital assistance for real sectors is one of the locomotives of economic growth in Indonesia. This research will focus on financing strategic sectors to support the development of a higher and more competitive economy. So that it is known which sectors have played a major role in boosting Indonesia’s economic growth. The sectors to be studied are agriculture, mining, construction, industry, electricity, gas and water in Islamic banking. This study uses descriptive and quantitative analysis using Eviews 9 to simplify data calculations and estimation and using time series data with Ordinary Least Square Approach. Purpose. This research is conducted to investigate the impact of Islamic bank financing on agriculturer sector, mining, industry, electricity, gas and water supply and Construction sector to Indonesia economic growth over the period 2011Q1 -2019Q4. Results. Based on the results of data processing, it is known that Islamic banking financing in the agricultural sector, mining, electricity, gas and water and conctruction sector has a positive effect on economic growth. Meanwhile industrial sector in Islamic banking does not have a significant effect on economic growth. An increase in industrial sector financing by 1 percent is able to reduce GDP by 0.46940 percent. Conclusion: This estimation shows R-Square value is 98 percent influenced by variable financing in the agricultural sector, mining sector, industrial sector, electricity sector, gas and water and the construction sector, while the remaining 2 percent is influenced by other variables outside the model. The agriculture, mining, electricity, gas & water and construction sectors have a positive influence on economic growth. Meanwhile, the industrial sector has a negative influence on economic growth. Keywords: economic growth; Islamic banking; sectoral financing; Ordinary Least Square.

scholarly journals The Role of Technical Innovation and Development of Industrial Sector in Korean International Business

2021 ◽  
Vol 22 (1) ◽  
pp. 55-73
Author(s):  
Ali Mohammed Khalel Al-Shawaf ◽  
Tahira Yasmin
Keyword(s):  
Time Series Data ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Value Added ◽  
Industrial Sector ◽  
Least Square ◽  
Policy Implications ◽  
Series Data ◽  
Significance Level

With the pace of development and competitiveness, innovation plays an important role to capture the market share. Various countries have effective strategies to enhance Research and Development (R&D) and exchange value added products in international market. So, based on this the aim of this research is to examine the role of R&D, industrial design and charges for intellectual property in innovative exports in South Korean economy. Time series data for the period 1998 to 2017, Ordinary Least Square (OLS) and Generalized Method of Moments (GMM) models are used to determine the dynamic interrelationship among the study variables. In summary, the overall results show that there is co-integration rank of in both trace test and value test at 1% significance level. Moreover, OLS and GMM findings depict that there is significant and positive coefficient for ID & RD which represent that they have positive impact on HT. Whereas, the IP displays a negative and significant relationship with high technology exports accordingly. Lastly, the diagnostic tests show that model is stable for the study time period and result is reliable. The current study also suggests some policy implications which can enhance innovative export products of South Korea while enhancing R&D.

scholarly journals Comparison of the impact of lending and inflation rates on economic growth in Vietnam and China

2020 ◽  
Vol 15 (4) ◽  
pp. 193-203
Author(s):  
Doan Van Dinh
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Time Series Data ◽  
Close Correlation ◽  
Least Square ◽  
Series Data ◽  
Lending Rate ◽  
Lending Rates ◽  
The Impact

Inflation and lending rates are two important macroeconomic indicators as they affect economic growth. The correlation between the inflation rate and the lending rate in Vietnam and China is analyzed to determine whether the lending rate causes inflation or not. An ordinary least square model (OLS) and a unit root test are applied to check the correlation and cointegration related to the inflation and lending rates to avoid spurious regression. The research time series data were collected from 1996 to 2017. The correlation of Vietnam’s variables is 56%, the correlation of China’s variables is 55%, which is a close correlation. The empirical cointegration test results for Vietnam and China are suitable for two research models. The relationship between these two indicators influences each other. In the short term, inflation stimulates economic growth through loose monetary policy through the lending rate. However, in the long term, if the money supply increases continuously, inflation will slow economic growth and increase bad debt. The empirical results are to make accurate forecasts and determine monetary policy for micro-managers who set the goal of sustainable economic growth and have a strategy for economic development in the short and long term.

scholarly journals Potential Tax Reforms and Kuwait Economic Growth

2019 ◽  
pp. 42-48
Author(s):  
K. Lawler ◽  
F. Ali Al-Sayegh
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Value Added ◽  
Least Square ◽  
Series Data ◽  
Tax Reforms ◽  
Tax Revenues ◽  
Oil Revenue ◽  
The Impact

The objective of this study is to identify whether tax reforms are viable in Kuwait in order to create more government income from sources other than oil. The study examines the relationship between the changes in tax revenues, changes in oil revenue and changes in GDP in Kuwait using time series data from 1998 to 2015. The Augmented Dickey-Fuller (ADF) is used to check for the existence of a unit root. The cointegration test is applied to test for long term relationships between variables using the General Least Square (GLS) method of estimation. The results of the tests find that the impact of changes in tax revenues on changes in the GDP of Kuwait is insignificant. Therefore, Kuwait’s government could rationally implement tax reforms to have incremental sources of income other than oil revenue. Moreover, it is argued that the government might consider implementing broad based consumption taxes and value added taxes into the tax structure Kuwait, and to invest the revenues from those taxes in productive policies, to induce long term economic growth.

The Impact of Foreign Direct Investment (FDI) on Economic Growth (EG) : Evidence from Djibouti

2021 ◽  
Vol 9 (10) ◽  
pp. 701-706
Author(s):  
Nashwa Maguid Hayel
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
International Development ◽  
Direct Investment ◽  
Time Series Data ◽  
Developed Countries ◽  
Least Square ◽  
Series Data ◽  
Study Results ◽  
The Impact

Abstract: The achievement of EG and development is considered the core objective for both Developing Countires (DCs) and Least Developed Countries (LDCs), so countries try to get adequate funding to achieve this goal through optimal macroeconomic policies and different strategies. Countries prefer other mechanisms with less burden and cost to achieve economic growth, such as FDI flows. International development-oriented institutions such as WB and IMF recommend and consider FDI flows are the most important factors of the modern technology transfer, management, and know-how, which is necessarily needed in the local investment projects in poor countries, so FDI represents optimal external sources of growth. The objective of this study is to explain the impact of FDI on the EG of Djibouti. To achieve this objective the study used a secondary annual time series data for the period 1985-2019 by the method of Ordinary Least Square (OLS). The study results showed that FDI in the case of Djibouti tends to be statistically insignificant effects and a limited impact on Djibouti‘s EG, Moreover,other factors such as the Human Development Index(HDI), and Gross Fixed Capital Formation(GFCF), Trade Openness(TOP) shows significant effects on the Gross Domestic Product (GDP). Finally, the Consumer Price Index (CPI) has no significance in the EG of Djibouti. The findings provide critical information to Djibouti policy decision-makers to make an informed decision with regard to attracting investment sectors and policies in encouraging foreign investors to invest in the country. KEYWORDS: Foreign Direct Investment, Economic Growth, Djibouti, Empirical Analysis.

scholarly journals The Modeling of Time Series Based on Least Square Fuzzy Cognitive Map

Algorithms ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 69
Author(s):  
Guoliang Feng ◽  
Wei Lu ◽  
Jianhua Yang
Keyword(s):  
Time Series ◽  
Clustering Algorithm ◽  
Time Series Data ◽  
Cognitive Map ◽  
Fuzzy Cognitive Maps ◽  
Least Square ◽  
Fuzzy Cognitive Map ◽  
Statistical Characteristics ◽  
Series Data ◽  
The Impact

A novel design method for time series modeling and prediction with fuzzy cognitive maps (FCM) is proposed in this paper. The developed model exploits the least square method to learn the weight matrix of FCM derived from the given historical data of time series. A fuzzy c-means clustering algorithm is used to construct the concepts of the FCM. Compared with the traditional FCM, the least square fuzzy cognitive map (LSFCM) is a direct solution procedure without iterative calculations. LSFCM model is a straightforward, robust and rapid learning method, owing to its reliable and efficient. In addition, the structure of the LSFCM can be further optimized with refinements the position of the concepts for the higher prediction precision, in which the evolutionary optimization algorithm is used to find the optimal concepts. Withal, we discussed in detail the number of concepts and the parameters of activation function on the impact of FCM models. The publicly available time series data sets with different statistical characteristics coming from different areas are applied to evaluate the proposed modeling approach. The obtained results clearly show the effectiveness of the approach.

scholarly journals Integrated Model to Measure the Impact of Terrorism and Political Stability on FDI Inflows: Empirical Study of Pakistan

2016 ◽  
Vol 8 (4) ◽  
pp. 1 ◽  
Author(s):  
Sundas Rauf ◽  
Rashid Mehmood ◽  
Aisha Rauf ◽  
Shafaqat Mehmood
Keyword(s):  
Time Series Data ◽  
Trade Openness ◽  
Political Stability ◽  
Negative Influence ◽  
Least Square ◽  
Series Data ◽  
Host Countries ◽  
Fdi Inflows ◽  
Gdp Growth Rate ◽  
The Impact

<p>To condense saving-investment gap, transformation of technology, creation of employment opportunities and more importantly, increasing economic development of host countries, Foreign Direct Investment (FDI) is proven to be a significant source of investment predominantly for developing countries. Numerous standing studies have scrutinized the economic impact of terrorism and political stability by referring to decrease in FDI. This study empirically enlightens the determinants of FDI for Pakistan over the period 1970 to 2013, by using annual secondary time series data. Adopting the optimistic approach, in this study, variables in the combination of terrorism, political stability, trade openness and GDP have been analyzed applying Ordinary Least Square (OLS) method. As expected, the projected results confirm that GDP, trade openness and political stability have positive and significant impact whilst terrorism has negative influence on FDI inflows in Pakistan. Because of the political stability along with stable GDP growth rate, inverse impact of terrorism has been found statistically insignificant.</p>

scholarly journals The Impact of Macroeconomic Indicator on Islamic Insurance Demand in Indonesia

2019 ◽  
Vol 11 (2) ◽  
Author(s):  
Salahuddin El Ayyubi ◽  
W Widyastutik ◽  
A. Anditta
Keyword(s):  
Time Series Data ◽  
Insurance Industry ◽  
Least Square ◽  
Series Data ◽  
Insurance Demand ◽  
Ordinary Least Square ◽  
Macroeconomic Indicators ◽  
Islamic Insurance ◽  
The Impact ◽  
Macroeconomic Indicator

This research aimed to determine the development of Islamic insurance industry in Indonesia and analyze the influence of macroeconomic indicators Islamic insurance demand in Indonesia. Ordinary Least Square (OLS) was used in this research with monthly time series data from January 2014 to December 2016. The results of this research indicated that the variables of money supply, interest rate, GDP per capita, and education had a positive (significant) effect to the Islamic insurance demand in Indonesia. Moreover, the inflation variable and dependency ratio had a negative (significant) effect to the Islamic insurance demand in Indonesia.

scholarly journals Fiscal policy and economic growth: Some evidence from Kosovo

2021 ◽  
Vol 10 (4) ◽  
pp. 130-136
Author(s):  
Bedri Hamza ◽  
Petraq Milo
Keyword(s):  
Economic Growth ◽  
Fiscal Policy ◽  
Public Expenditure ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Unit Root Test ◽  
Series Data ◽  
Government Investment ◽  
Good Decision ◽  
The Impact

The main purpose of this study is to analyze the effects of fiscal policy on economic growth in the Republic of Kosovo for the time period from January 2006 to September 2018 in terms of their long-term and short-term relationships. The methods used are measured using the second data (monthly series) provided by the Department of Finance as the appropriate national institution. Kosovo as one of the Balkan countries is facing the same problems as other labor countries. This study will contribute greatly to analyzing the impact of fiscal policy and will help policymakers come up with good decision-making. The econometric vector autoregression (VAR) model used in this study uses total public expenditure, total public income, fixed income structure, and consumer price index as independent variables and gross domestic product (GDP) as a dependent variable. In addition, in order of consistency time-series data were evaluated by the augmented Dickey-Fuller unit root test. The study concludes that total public expenditure significantly affects GDP; on the other hand, the total public income has a positive but visible impact on GDP, which means that the impact of government investment is more pronounced on financial development compared to public revenue; and increased demand for co-operation has decreased in monetary terms (World Bank, 2021). It is possible that government spending and structure may be related to key development quality ideas, such as the segregation of wages and environmental support (Halkos & Paizanos, 2015).

scholarly journals The impact of financial structure on profitability of firms: a cross-sectional industry analysis of Nigerian quoted firms

2011 ◽  
Vol 9 (1) ◽  
pp. 415-427
Author(s):  
Ogbuagu Onu Ekumankama
Keyword(s):  
Fixed Effects ◽  
Time Series Data ◽  
Financial Structure ◽  
Positive Influence ◽  
Least Square ◽  
Series Data ◽  
Cross Sectional ◽  
Ordinary Least Square ◽  
The Impact ◽  
Industrial Groups

This study empirically examines the impact of financial structure decision on the profitability of Nigerian quoted firms. Cross-sectional time series data of 72 Nigerian quoted firms were collated and analysed. Two hypotheses were proposed for the study, while the ordinary least square (OLS), fixed-effects (FE) and the gerneralised least square (GLS) regression were used on pooled and panel data to estimate the relationship between financial leverage and the different measures of profitability in Nigeria quoted firms. In determining the extent of the influence of leverage on the dependent variables, most of the industrial groups showed evidence of sizable positive influence of leverage on profitability and earnings yield. This was significant and robust with all the measures of leverage.

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