scholarly journals Investment Incentives as a Mediator in the Relationship between Macroeconomic Variables and Growth of Private Domestic Investment in Kenya

2021 ◽  
pp. 1-14
Author(s):  
Monica Wanjiru Kinyanjui ◽  
Willy Muturi ◽  
Agnes Njeru
Keyword(s):  
Time Series Data ◽  
Mediating Effect ◽  
Series Data ◽  
Investment Incentives ◽  
Domestic Investment ◽  
Macroeconomic Variables ◽  
Step Procedure ◽  
Tax Expenditure ◽  
Mediation Hypothesis ◽  
The Relationship

The objective of this study was to investigate the mediating effect of investment incentives on the growth of private domestic investment in Kenya using time series data for the period 1997 to 2018. To test for mediating effect, the study used (Baron & Kenny, 1986) approach which propose a four-step procedure in which several regression analyses were conducted and the significance of the coefficients examined. The results did not consistently support a full mediation hypothesis, given that the coefficients did not consistently change in magnitude and significance. Therefore, the study does not reject the null hypothesis that investment incentives do not meditate on the relationship between macroeconomic variables and the growth of private domestic investment in Kenya. The results of this study will benefit policy makers by providing them with data-based evidence that will guide them in making appropriate policies that encourage growth of private domestic investment in Kenya and institute proper management of private domestic investments to boost economic growth in Kenya. Keywords: Tax expenditure, Investment tax expenditure, Investment tax credit, Private domestic investment.

Testing Structural Break in the Relationship Between Exchange Rate and Macroeconomic Variables

2019 ◽  
Vol 23 (4) ◽  
pp. 442-453 ◽  
Author(s):  
Saidia Jeelani ◽  
Joity Tomar ◽  
Tapas Das ◽  
Seshanwita Das
Keyword(s):  
Exchange Rate ◽  
Structural Breaks ◽  
Time Series Data ◽  
Structural Break ◽  
Series Data ◽  
Ripple Effect ◽  
Macroeconomic Factors ◽  
Parameter Instability ◽  
Macroeconomic Variables ◽  
The Relationship

The article aims to study the relationship between those macroeconomic factors that the affect (INR/USD) exchange rate (ER). Time series data of 40 years on ER, GDP, inflation, interest rate (IR), FDI, money supply, trade balance (TB) and terms of trade (ToT) have been collected from the RBI website. The considered model has suggested that only inflation, TB and ToT have influenced the ER significantly during the study period. Other macroeconomic variables such as GDP, FDI and IR have not significantly influenced the ER during the study period. The model is robust and does not suffer from residual heteroscedasticity, autocorrelation and non-normality. Sometimes the relationship between ER and macroeconomic variables gets affected by major economic events. For example, the Southeast Asian crisis caused by currency depreciation in 1997 and sub-prime loan crisis of 2008 severely strained the national economies. Any global economic turmoil will affect different economic variables through ripple effect and this, in turn, will affect the ER of different economies differently. The article has also diagnosed whether there is any structural break or not in the model by applying Chow’s Breakpoint Test and have obtained multiple breaks between 2003 and 2009. The existence of structural breaks during 2003–2009 is explained by the fact that volume of crude oil imported by India is high and oil price rise led to a deficit in the TB alarmingly, which caused a structural break or parameter instability.

scholarly journals Macroeconomic Variables And Corruption In Malaysia

2019 ◽  
Vol 5 (2) ◽  
pp. 112
Author(s):  
Zahariah Mohd Zain ◽  
Fatimah Setapa ◽  
Ruzita Baah ◽  
Khaleed Kusnin
Keyword(s):  
Human Capital ◽  
Government Spending ◽  
Capital Investment ◽  
Time Series Data ◽  
Trade Openness ◽  
Least Square ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Development Indicator ◽  
The Relationship

Despite the government’s effort to eradicate corruption, it is still impossible to combat it as long as individuals with no integrity and sense of responsibility exists in organizations. ca This study is to investigate the relationship between several macroeconomics variables with corruption. The macroeconomics variables include government spending, human capital, investment and trade openness. This study uses time series data from the year 1994-2016. The data were obtained from Political Risk Service (PRS) and World Development Indicator from World Bank. Ordinary Least Square (OLS) method is used to examine the relationship between all the macroeconomic variables and corruption. The macroeconomic variables found to be significantly related to corruption in Malaysia were human capital and trade openness. However changes in the corruption in Malaysia may not necessarily be influenced by government spending and investment. Furthermore, all variables are found to have a positive relationship with corruption. The general findings of this paper strongly suggested that corruption in Malaysia is increasing continuously. Therefore efforts by the Malaysian government and policy makers are badly needed to fight corruption in order to foster better economic growth through improved business operations, employment and investments.

scholarly journals The Effect of Foreign Direct Investment on Indonesia’s Economic Growth

2016 ◽  
Vol 1 (2) ◽  
pp. 18-24
Author(s):  
Abdul Hadi Ilman
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Series Data ◽  
Linear Regression Method ◽  
Domestic Investment ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

The relationship of Foreign Direct Investment (FDI) on economic growth is one of the most debatable topic in economic. This study is aiming to investigate the impact of FDI on economic growth in Indonesia. This research using linear regression method which base on time series data from 1981 to 2012. A Major finding is there is no special relationship between FDI and economic growth, both directly and indirectly. Moreover, FDI does crowd-in the domestic investment and is no significance evidence to prove that FDI is more efficient on economic growth than domestic investment.

scholarly journals The Dynamics of Credit Procyclicality and Stability of Macroeconomics in Indonesia

2021 ◽  
pp. 351
Author(s):  
Ni Putu Nina Eka Lestari ◽  
Made Kembar Sri Budhi ◽  
I Ketut Sudama ◽  
Ni Nyoman Reni Suasih ◽  
I Nyoman Taun
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Financial System ◽  
The Other ◽  
Series Data ◽  
Credit Growth ◽  
Macroeconomic Variables ◽  
Long Run ◽  
The Relationship

Credit growth is one of the important indicators of the financial system that can drive the country economic growth, but on the other hand credit growth can also cause risks in the financial system due to the economic actors’ moral hazard. The purpose of this research is to analyze the credit procyclicality pattern and economic growth in Indonesia. In addition, this study aims to determine the relationship pattern between credit and some macroeconomic variables. The method used is VECM with quarterly time series data during 1998 until 2016. The analysis shows that credit growth and economic growth have positive causality. This shows pro-cyclicality between credit and economic growth in Indonesia. However, in the long run this pattern shows a downward trend although still positive and permanent, which means that excessive credit growth can also lead to a decline in economic growth.

Domestic and foreign direct investment in Ghanaian agriculture

2014 ◽  
Vol 74 (3) ◽  
pp. 427-440 ◽  
Author(s):  
Justice Gameli Djokoto ◽  
Francis Yao Srofenyoh ◽  
Kobla Gidiglo
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Series Data ◽  
Foreign Direct Investments ◽  
Domestic Investment ◽  
Content Type ◽  
Agrarian Economy ◽  
The Relationship ◽  
Targeted Approach

Purpose – The purpose of this paper is to investigate the effects of foreign direct investment (FDI) into agriculture on domestic investment in agriculture. Design/methodology/approach – Time series data from 1976 to 2007 was fitted to a derived model. Findings – Foreign direct investment into agriculture crowd-in domestic investment into agriculture. Research limitations/implications – A targeted approach that will attract foreign direct investment into agriculture is required as to complement existing efforts at boosting domestic agricultural investment. Originality/value – Numerous papers investigated the relationship between foreign direct investment and domestic investment at the aggregate national and regional levels. However, the evidence for this relationship has been conflicting. That for agriculture is rare. For Ghana, a developing agrarian economy that has promoted foreign direct investment for some decades now, it is imperative to establish the relationship between foreign direct investments and domestic investment. Also, the estimation was based on a theoretically derived model.

scholarly journals Non-bank financial institutions and economic growth: Evidence from Africa’s three largest economies

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Ronald Rateiwa ◽  
Meshach J. Aziakpono
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Financial Institutions ◽  
Time Series Data ◽  
Bank Lending ◽  
Series Data ◽  
The Sustainable Development ◽  
Long Run ◽  
The Relationship

Background: In order for the post-2015 world development agenda – termed the sustainable development goals (SDGs) – to succeed, there is a pronounced need to ensure that available resources are used more effectively and additional financing is accessed from the private sector. Given that traditional bank lending has slowed down, the development of non-bank financing has become imperative. To this end, this article intends to empirically test the role of non-bank financial institutions (NBFIs) in stimulating economic growth.Aim: The aim of this article is to empirically test the existence of a long-run equilibrium relationship between economic growth and the development of NBFIs, and the causality thereof.Setting: The empirical assessment uses time-series data from Africa’s three largest economies, namely, Egypt, Nigeria and South Africa, over the period 1971–2013.Methods: This article uses the Johansen cointegration and vector error correction model within a country-specific setting.Results: The results showed that the long-run relationship between NBFI development and economic growth is relatively stronger in Egypt and South Africa, than in Nigeria. Evidence in respect of Nigeria shows that such a relationship is weak. The nature of the relationship between NBFI development and economic growth in Egypt is positive and significant, and predominantly bidirectional. This suggests that a virtuous relationship between NBFIs and economic growth exists in Egypt. In South Africa, the relationship is positive and significant and predominantly runs from NBFI development to economic growth, implying a supply-leading phenomenon. In Nigeria, the results are weak and mixed.Conclusion: The study concludes that in countries with more developed financial systems, the role of NBFIs and their importance to the economic growth process are more pronounced. Thus, there is need for developing policies targeted at developing the NBFI sector, given their potential to contribute to economic growth.

scholarly journals Retrospectives: The Introduction of the Cobb–Douglas Regression

2012 ◽  
Vol 26 (2) ◽  
pp. 223-236 ◽  
Author(s):  
Jeff Biddle
Keyword(s):  
Time Series Data ◽  
Series Data ◽  
Mathematical Representation ◽  
Least Squares Regression ◽  
Empirical Measures ◽  
Stable Relationship ◽  
Initial Application ◽  
Economic Association ◽  
The Relationship ◽  
Theory Of Production

At the 1927 meetings of the American Economic Association, Paul Douglas presented a paper entitled “A Theory of Production,” which he had coauthored with Charles Cobb. The paper proposed the now familiar Cobb–Douglas function as a mathematical representation of the relationship between capital, labor, and output. The paper's innovation, however, was not the function itself, which had originally been proposed by Knut Wicksell, but the use of the function as the basis of a statistical procedure for estimating the relationship between inputs and output. The paper's least squares regression of the log of the output-to-capital ratio in manufacturing on the log of the labor-to-capital ratio—the first Cobb–Douglas regression—was a realization of Douglas's innovative vision that a stable relationship between empirical measures of inputs and outputs could be discovered through statistical analysis, and that this stable relationship could cast light on important questions of economic theory and policy. This essay provides an account of the introduction of the Cobb–Douglas regression: its roots in Douglas's own work and in trends in economics in the 1920s, its initial application to time series data in the 1927 paper and Douglas's 1934 book The Theory of Wages, and the early reactions of economists to this new empirical tool.

scholarly journals PENGARUH KORUPSI, DEMOKRASI DAN POLITIK TERHADAP KEMISKINAN DI DELAPAN NEGARA ASEAN DENGAN PERTUMBUHAN EKONOMI SEBAGAI VARIABEL MODERASI

2019 ◽  
Vol 1 (3) ◽  
pp. 845
Author(s):  
Yolanda Yolanda
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Predictor Variable ◽  
Combination Method ◽  
Annual Reports ◽  
Series Data ◽  
Transparency International ◽  
Negative Effect ◽  
Asean Countries ◽  
The Relationship

This study aims the influence of corruption, democracy and politics on poverty in ASEAN countries with economic growth as a moderating variable. The method used is using the panel regression model. This data uses a combination method between time series data from 2013 - 2016 and a cross section consisting of 8 countries. Data obtained from World Bank annual reports, Transparency International and Freedom House. The results of this study indicate that (1) Corruption Perception Index (CPI) has a significant and negative effect on poverty, meaning that if the CPI increases then poverty will decrease (2) Democracy has no significant and negative effect on poverty. This means that if democracy increases, poverty will decrease (3) Politics has a significant and negative effect on poverty, meaning that if politics increases, poverty will decrease (4) Economic growth has a significant and positive effect on poverty, meaning if economic growth increases then poverty will decline (3) Economic growth unable to moderate the relationship between corruption, democracy and politics towards poverty in 8 ASEAN countries. Economic growth as an interaction variable is a predictor variable (Predictor Moderate Variable), which means that economic growth is only an independent variable.

scholarly journals PEMODELAN GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) SEASONAL PADA DATA CURAH HUJAN EMPAT KABUPATEN DI PROVINSI JAWA TENGAH

2019 ◽  
Vol 8 (4) ◽  
pp. 418-427
Author(s):  
Eko Siswanto ◽  
Hasbi Yasin ◽  
Sudarno Sudarno
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Space Time ◽  
Series Data ◽  
Inverse Distance Weighted ◽  
Modeling And Forecasting ◽  
Distance Weighted ◽  
The Relationship ◽  
Inverse Distance

In many applications, several time series data are recorded simultaneously at a number of locations. Time series data from nearby locations often to be related by spatial and time. This data is called spatial time series data. Generalized Space Time Autoregressive (GSTAR) model is one of space time models used to modeling and forecasting spatial time series data. This study applied GTSAR model to modeling volume of rainfall four locations in Jepara Regency, Kudus Regency, Pati Regency, and Grobogan Regency. Based on the smallest RMSE mean of forecasting result, the best model chosen by this study is GSTAR (11)-I(1)12 with the inverse distance weighted. Based on GSTAR(11)-I(1)12 with the inverse distance weighted, the relationship between the location shown on rainfall Pati Regency influenced by the rainfall in other regencies. Keywords: GSTAR, RMSE, Rainfall

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