Determinants of FDI Inflows in Agriculture Sector Using Pooled Ordinary Least Square (OLS), Pooled Generalized Least Square (GLS), Augmented Dickey-Fuller (ADF) and Philips-perron Unit Root Test

2020 ◽  
Vol 24 (5) ◽  
pp. 2560-2567
Author(s):  
Intan Maizura Abd Rashid
Keyword(s):  
Unit Root ◽  
Unit Root Test ◽  
Least Square ◽  
Fdi Inflows ◽  
Ordinary Least Square ◽  
Agriculture Sector ◽  
Augmented Dickey Fuller ◽  
Determinants Of Fdi

scholarly journals The Role of Foreign Direct Investment Inflows in Economic Growth in Malaysia

2021 ◽  
Vol 4 (2) ◽  
pp. g11-17
Author(s):  
Tien Siew
Keyword(s):  
Economic Growth ◽  
Unit Root ◽  
Direct Investment ◽  
Unit Root Test ◽  
Granger Causality Test ◽  
Least Square ◽  
Causality Test ◽  
Fdi Inflows ◽  
Ordinary Least Square ◽  
The Relationship

The purpose of this study is to investigate the relationship between the inflows of Foreign Direct Investment (FDI) and economic growth in Malaysia. The sample collected for this empirical study covered 30 years of data from 1991 to 2020. The secondary data was collected annually and a total of 30 observations were taken for each variable. Ordinary Least Square (OLS) regression, unit root test, several diagnostic tests and Granger causality test were used in this research to investigate the relationship between FDI inflows and economic growth. Eviews 11 was used to analyze the time series data throughout all the tests. The result showed that the inflows of FDI has a significant negative relationship with economic growth and there is no causal relationship between FDI and Gross Domestic Product (GDP). Keywords: Economic growth, FDI inflows, Granger Causality Test, Ordinary Least Square regression, Unit Root Test

Relative institutional quality and FDI inflows in ASEAN countries

2017 ◽  
Vol 44 (1) ◽  
pp. 115-137 ◽  
Author(s):  
Tajul Ariffin Masron
Keyword(s):  
Multinational Corporations ◽  
Relative Effectiveness ◽  
Institutional Quality ◽  
Least Square ◽  
Limited Information ◽  
Fdi Inflows ◽  
Content Type ◽  
Ordinary Least Square ◽  
Asean Countries

Purpose Foreign direct investment (FDI) inflows into any country, especially ASEAN countries, is affected by any improvement in the institutional quality (IQ) of competitors such as China. As generally investors make decisions by comparing two countries’ IQ, the ratio of two countries’ IQ matters more than a single country’s IQ. The purpose of this paper is to re-examine the role of IQ on FDI inflows in ASEAN countries for the period 1996-2013. Design/methodology/approach With limited information on IQ, this study pools eight ASEAN countries as the sample for analysis from 1996 until 2013. A panel dynamic approach – namely, dynamic ordinary least square and fully modified ordinary least square – is utilized. Findings This study confirmed that relative IQ significantly affects FDI inflows into ASEAN countries. The low effect is more reflective of the small portion of world FDI inflows into the ASEAN region. Research limitations/implications This study observes the crucial relationship between IQ and FDI – that the relative effectiveness of IQ in attracting FDI inflows depends heavily on the changes in both countries’ IQ. Hence, the effort of ASEAN countries to improve IQ and use it as a means to lure FDI inflows should go beyond a mere improvement. Focus should be on significant improvement of IQ so that multinational corporations will comfortably remain or inject new FDI into the country. Practical implications Every ASEAN country should double their efforts toward improving their IQ in order to attract future FDI. Originality/value Several studies have confirmed the role of IQ on FDI inflows. However, the majority of these studies have investigated the effect of IQ exclusively for a specific country even though some of them have used a panel of several countries’ data. On the other hand, investors normally evaluate their decision on whether or not to invest based on the relative terms, comparing several potential locations of investment at once. This study can be considered the first to explore the potential effect of IQ after taking into account the possibility of each ASEAN country’s IQ being easily offset by changes in the IQ of China.

scholarly journals Nexus between Agriculture and Unemployment in Nigeria

2019 ◽  
pp. 1-13
Author(s):  
Oluwafemi S. Enilolobo ◽  
Saidi A. Mustapha ◽  
Onyeka P. Ikechukwu
Keyword(s):  
Error Correction ◽  
Granger Causality ◽  
Unit Root ◽  
Unit Root Test ◽  
Model Estimation ◽  
Correction Model ◽  
Agriculture Sector ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Bounds Test

This study examined the impact of agriculture sector growth on unemployment level as well as the direction of causality between agricultural sector output and unemployment level in Nigeria. Secondary annual time series data between 1981 and 2016 were used for the study. Data on unemployment rate, agriculture sector output, public expenditure and industrial output were obtained from the Central Bank of Nigeria’s statistical Bulletin while data on FDI and population growth were obtained from the World Bank World Development Indicators. The data were analyzed using ADF (Augmented Dickey Fuller Test) unit root test, Autoregressive distributed lag Bounds test of cointegration, Autoregressive distributed lag error correction model estimation and Granger causality. The results of ADF unit root test revealed variables were at different orders of integration, the ARDL bounds test revealed cointegration between variables, and the Autoregressive distributed lag error correction model estimation revealed that change in agriculture output in the current period is negative and significant for current unemployment level in Nigeria, while the change in one period lagged agriculture output was positive and significant for current unemployment level in Nigeria. Also the error correction term indicated that about 74.10 percent of the disequilibrium in the system in the previous year would be corrected in the current year. Granger causality test results revealed bi-directional causality between agriculture output and unemployment level in Nigeria. The study recommends that the Nigeria government should using strategic policies targeted at boosting agriculture output such as increasing access to land for peasant rural farmers, investments in agricultural research, and so on, seek to boost agriculture output in order to reduce unemployment in Nigeria. Further, the Nigeria government should ensure that agriculture sector development policies are consistent with the objective of reducing unemployment in Nigeria.

scholarly journals COVID-19 OUTBREAK AND ROLE OF TOURISM DEVELOPMENT ON ECONOMIC GROWTH IN PAKISTAN

2021 ◽  
Vol 19 ◽  
Author(s):  
Normah Abdul Latip ◽  
Rehmat Karim ◽  
Azizan Marzuki ◽  
Faqeer Muhammad ◽  
Attaullah Shah ◽  
...  
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Unit Root ◽  
Unit Root Test ◽  
Tourism Development ◽  
Significant Decline ◽  
Least Square ◽  
The Government ◽  
Static Nature

The current research aimed to find out the effect of tourism development on economic growth in Pakistan for the period (1995 to 2017) by using Canonical Regression Analysis (CCR) and Dynamic Least Square (DOLS) method. In addition, a unit root test is used to find out the static nature of the variables, and for the robust check, the authors utilize the Fully Modified Least Square (FMOLS) method. The results of the CCR and DOLS shows the key role of tourism development on growth, and FMOLS confirms these findings. In addition, the contribution of financial development is insignificant and positive. However, inflation harms economic growth, which depicts that the government of Pakistan will face severe challenges to achieve the targeted level of growth in future. In addition, an outbreak of Coronavirus Disease (Covid-19) is another challenge that will cause a significant decline in tourism receipts.

scholarly journals The evaluation of output convergence in several Central and Eastern European countries

Ekonomika ◽  
2015 ◽  
Vol 94 (1) ◽  
pp. 42-51
Author(s):  
Simionescu M.
Keyword(s):  
Unit Root ◽  
Unit Root Test ◽  
Regression Coefficients ◽  
Small Data ◽  
Eastern European ◽  
The European Union ◽  
Data Set ◽  
Central Eastern Europe ◽  
Augmented Dickey Fuller ◽  
Eastern European Countries

The main objective of this study is to check the convergence in output for six countries from Central-Eastern Europe that are also members of the European Union. A slow convergence was obtained only for Greece during 2003–2012, for the rest of the countries (Bulgaria, Croatia, Hungary, Poland and Romania) the divergence being observed. The regression coefficients were estimated using bootstrap simulations in order to solve the problem of a small data set. However, the graphical representations suggested a convergence for Bulgaria and Romania, the assumption proved also by the application of the Augmented Dickey Fuller unit root test. There is no evidence of the convergence of each country towards Greece, this country having a specific evolution of its GDP with higher values than the rest of the countries.

scholarly journals Does the Capital Market Spur Economic Growth? Evidence from Nigeria

2017 ◽  
Vol 11 (1) ◽  
pp. 90-99
Author(s):  
Taiwo Adewale Taiwo Adewale Muritala
Keyword(s):  
Economic Growth ◽  
Capital Market ◽  
Negative Impact ◽  
Unit Root Test ◽  
Development Program ◽  
Least Square ◽  
Secondary Sources ◽  
Augmented Dickey Fuller ◽  
The Government ◽  
The Capital Market

This study critically examines the relationship between the capital market and economic growth of Nigeria. Data are mainly obtained from secondary sources, the CBN statistical bulletin over the period of 1980–2015. The results from the augmented Dickey Fuller unit root test show that all the variables were stationary at the level except RGDP, MCAP and TNI, which were stationary at the first difference. The results from Ordinary Least Square (OLS) reveal that total new issue, market capitalization, and total listing positively impact  the economy while the value of the transaction has a negative impact on real gross domestic product. The study recommends, among others, that the government implement measures to build up investors’ confidence in the capital market by fair transactions, by increasing investment instruments on the market; all the tiers of government should encourage funding their realistic development program through the capital market.

scholarly journals Impact of Public Capital Expenditure on Inflation Rate in Nigeria

2021 ◽  
Vol 2 (4) ◽  
pp. 30-39
Author(s):  
Jideofor Nnennaya Joy ◽  
Michah Chukwuemeka Okafor ◽  
Eke Onyekachi Abaa
Keyword(s):  
Unit Root ◽  
Inflation Rate ◽  
Capital Expenditure ◽  
Unit Root Test ◽  
Public Capital ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Mixed Order ◽  
Augmented Dickey Fuller ◽  
The Impact

This paper examines the impact of public capital expenditure on inflation rate in Nigeria. The data for the study were sourced from various issues of the Central Bank of Nigeria’s statistical bulletin. The data was subjected to unit root test using Augmented Dickey fuller (ADF) approach to ascertain the time series properties. Descriptive statistics was used to assess the socioeconomic characteristics of the variables. Due to the mixed order of integration witnessed in the unit root, ARDL- Autoregressive Distributed Lag approach was used for cointegration and regression analysis. The result found that Public capital expenditure is negatively and statistically significant (tcal = -2.903) in influencing Inflation Rate in Nigeria. This outcome is highly directional in the sense that prudent and productive spending will always subdue inflation in any economy; therefore, this study recommend that government should increase its investment in production sectors and encourage skilful and willing citizens to participate, since this would reduce the expenses being incurred on business as a result low currency value and raise the profitability of firms.

scholarly journals Analysis of the Effects of Climate Change on Maize Production in Mali

2021 ◽  
pp. 42-52
Author(s):  
Abdoulaye Maïga ◽  
Moussa Bathily ◽  
Amadou Bamba ◽  
Issoufou Soumaïla Mouleye ◽  
Mamadi Sissako Nimaga
Keyword(s):  
Climate Change ◽  
Unit Root ◽  
Correction Term ◽  
Unit Root Test ◽  
Negative Effects ◽  
Maize Production ◽  
Distributed Lag ◽  
Adequate Food ◽  
Augmented Dickey Fuller

The objective of this paper is to analyze the effects of climate change on maize production in Mali during the period 1990-2020. The unit root test (augmented Dickey-Fuller) was used to check the order of integration between the variables in the study. The ARDL (autoregressive distributed lag) approach to cointegration limits is applied to assess the association between the study variables with evidence of a long-term relationship. The unit root test estimates confirm that all variables are stationary at the combination of I(0) and I(1). The results show that precipitation and temperature in June and July have a negative and highly significant effect on maize production in both the short and long term analyses. Among other determinants, the area of land devoted to maize crops and GDP per capita have a positive effect on production. The estimated coefficient on the error correction term is also highly also highly significant As Mali's population grows, in the coming decades the country will face food security challenges. Possible initiatives are needed to configure the Malian government to address the negative effects of climate change on agriculture and ensure adequate food for the growing population.

scholarly journals RIPPLE EFFECT AND REGIONAL HOUSE PRICES DYNAMICS IN CHINA

2016 ◽  
Vol 20 (4) ◽  
pp. 397-408 ◽  
Author(s):  
Chi-Chuan LEE ◽  
Chien-Chiang LEE ◽  
Shu-Hen CHIANG
Keyword(s):  
Unit Root ◽  
House Prices ◽  
Unit Root Test ◽  
Unit Root Tests ◽  
Ripple Effect ◽  
Seemingly Unrelated Regressions ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Augmented Dickey Fuller ◽  
Long Run Equilibrium

This paper examines the stationarity properties, the long-run equilibrium and the leadlag relationship among the regional house prices in China from December 2000 to July 2013. Unlike traditional unit-root tests, the panel seemingly unrelated regressions augmented Dickey-Fuller (SURADF) unit-root test reveals that the regional house prices in China are a mixture of I(0) and I(1) processes. There is concrete evidence in favor of the hypothesis of a long-run equilibrium relationship among all regions, except for Shanghai region, and supporting the price diffusion or ripple effect among these Chinese cities. Finally, we determine that these regional house prices exhibit uni-directional causalities running from Beijing, Chongqing, and Shenzhen to Guangzhou and Tianjin, respectively.

scholarly journals THE IMPACT OF PERSISTENT CYCLES ON ZERO FREQUENCY UNIT ROOT TESTS

2013 ◽  
Vol 29 (6) ◽  
pp. 1289-1313 ◽  
Author(s):  
Tomás del Barrio Castro ◽  
Paulo M.M. Rodrigues ◽  
A.M. Robert Taylor
Keyword(s):  
Unit Root ◽  
Unit Root Test ◽  
American Statistical Association ◽  
Unit Root Tests ◽  
Statistical Association ◽  
Finite Sample ◽  
Finite Sample Properties ◽  
Augmented Dickey Fuller ◽  
Frequency Unit ◽  
The Impact

In this paper we investigate the impact of persistent (nonstationary or near nonstationary) cycles on the asymptotic and finite-sample properties of standard unit root tests. Results are presented for the augmented Dickey–Fuller (ADF) normalized bias and t-ratio-based tests (Dickey and Fuller, 1979, Journal of the American Statistical Association 745, 427–431; Said and Dickey, 1984; Biometrika 71, 599–607). the variance ratio unit root test of Breitung (2002, Journal of Econometrics 108, 343–363), and the M class of unit-root tests introduced by Stock (1999, in Engle and White (eds.), A Festschrift in Honour of Clive W.J. Granger) and Perron and Ng (1996, Review of Economic Studies 63, 435–463). We show that although the ADF statistics remain asymptotically pivotal (provided the test regression is properly augmented) in the presence of persistent cycles, this is not the case for the other statistics considered and show numerically that the size properties of the tests based on these statistics are too unreliable to be used in practice. We also show that the t-ratios associated with lags of the dependent variable of order greater than two in the ADF regression are asymptotically normally distributed. This is an important result as it implies that extant sequential methods (see Hall, 1994, Journal of Business & Economic Statistics 17, 461–470; Ng and Perron, 1995, Journal of the American Statistical Association 90, 268–281) used to determine the order of augmentation in the ADF regression remain valid in the presence of persistent cycles.

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