scholarly journals Dynamics of Push and Pull Factors of Migrant Workers in Developing Countries: The Case of Indonesian Workers in Malaysia

2012 ◽  
Vol 4 (12) ◽  
pp. 703-711 ◽  
Author(s):  
Fariastuti Djafar
Keyword(s):  
Low Income ◽  
Migrant Workers ◽  
Time Series Data ◽  
Series Data ◽  
Pull Factors ◽  
Vector Autoregressive ◽  
Push And Pull Factors ◽  
Objective Time ◽  
Long Run ◽  
Push And Pull

Low income and high unemployment in labour sending countries and high income and low unemployment in labour receiving countries are frequently justified as push and pull factors of migrant workers, respectively. Indonesia is the main labour-exporting country to Malaysia but the studies on the push factors in Indonesia and the pull factors in Malaysia are very limited. This paper has three objectives. The first objective is to examine the long-run relationship among income and unemployment in Indonesia and Malaysia and the Indonesian migrant workers in Malaysia. This is followed by examining the causality between the variables in the second objective, and the extent to which income and unemployment in Indonesia and Malaysia determine the Indonesian migrant workers in Malaysia in the third objective. Time series data were employed and analysed by utilizing the Vector Autoregressive (VAR) framework. The findings show a long-run relationship among income and unemployment in Indonesia and Malaysia and the Indonesian migrant workers in Malaysia. Only unidirectional causality is found in the long-run, which is from income and unemployment in Indonesia and Malaysia to Indonesian migrant workers in Malaysia. The findings also show that the Indonesian migrant workers in Malaysia are significantly determined by income and unemployment, positively in the case of Indonesia, and negatively, in Malaysia.

scholarly journals HUMAN DEVELOPMENT, UNEMPLOYMENT AND INDONESIAN MIGRANT WORKERS

2019 ◽  
Vol 18 (2) ◽  
pp. 81
Author(s):  
FARIASTUTI DJAFAR
Keyword(s):  
Time Series ◽  
Human Development ◽  
Migrant Workers ◽  
Time Series Data ◽  
Series Data ◽  
Vector Autoregressive ◽  
The Third ◽  
Long Run ◽  
Short Run

Three objectives are proposed by this study. The first objective is to examine the long-run relationship among human development, unemployment and the Indonesian Migrant Workers (IMWs). This is followed by examining the causality between the human development and unemployment respectively and the IMWs in the second objective. The extent to which the human development and unemployment determine the IMWs is examined in the third objective. The study is based on time series data and utilizes a Vector Autoregressive (VAR) framework. The findings show that the human development, unemployment and the IMWs are co-integrated. The human development and unemployment respectively causes the IMWs in the short run and in the long run.  Human development has a negative significant effect on the IMWs while unemployment has a positive significant effect on the IMWs.

Internal migration in Italy. Long-run analysis of push and pull factors across regions and macro-areas of the country.

2016 ◽  
Vol 13 (3) ◽  
pp. 443-454
Author(s):  
Piras Romano
Keyword(s):  
Gravity Model ◽  
Internal Migration ◽  
Empirical Studies ◽  
Great Majority ◽  
Pull Factors ◽  
Push And Pull Factors ◽  
Long Run ◽  
Italian Regions ◽  
Migration Flows ◽  
Push And Pull

The great majority of empirical studies on internal migration across Italian regions either ignores the long-run perspective of the phenomenon or do not consider push and pull factors separately. In addition, Centre-North to South flows, intra-South and intra-Centre-North migration have not been studied. We aim to fill this gap and tackle interregional migration flows from different geographical perspectives. We apply four panel data estimators with different statistical assumptions and show that long-run migration flows from the Mezzogiorno towards Centre-Northern regions are well explained by a gravity model in which per capita GDP, unemployment and population play a major role. On the contrary, migration flows from Centre-North to South has probably much to do with other social and demographic factors. Finally, intra Centre-North and intra South migration flows roughly obey to the gravity model, though not all explicative variables are relevant.

scholarly journals PERSEPSI ANTARA TENAGA KERJA PENDATANG LAKI-LAKI DAN PEREMPUAN TERHADAP PUSH AND PULL FACTORS

2019 ◽  
Vol 3 (1) ◽  
pp. 148-161
Author(s):  
Septiani Riwanti ◽  
Dwi Kartikasari
Keyword(s):  
Migrant Workers ◽  
Pull Factors ◽  
Men And Women ◽  
Pull Factor ◽  
Push And Pull Factors ◽  
Job Opportunities ◽  
Job Opportunity ◽  
The Difference ◽  
Push And Pull ◽  
Push Factor

This research is aimed to know the difference of perception between National Migrant Workers of Men And Women Against Push And Pull Factors. The variable of push factors used in this research is that of job field, low wage, seeking capital and necessity of life. And pull factors are job opportunities, high wages, distance and culture. Then the data is processed using SPSS 20 software with parametric metode that is independent sample t test. The result of the research revealed that there is no difference of perception between men and women on the job field (push factor), there is no difference of perception between men and women to low wages (push factor), there is no difference of perception between men and women against looking for capital (push factor), there are differences of perceptions between men and women on the necessity of life (push factor), there are differences of perceptions between man and woman to job opportunity (pull factor), there are differences of perceptions between men (pull factor), there are differences in perceptions between men and women on the distance factor (pull factor) and there are differences in perceptions between men and women to the pull factor

The Dynamics of Exports and Economic Growth: Assessing the Evidence from Nigeria

2018 ◽  
Vol 4 (1) ◽  
pp. 15-22
Author(s):  
Clement A.U. Ighodaro ◽  
Ovenseri-Ogbomo F. O.
Keyword(s):  
Economic Growth ◽  
Social Services ◽  
Time Series Data ◽  
Positive Impact ◽  
Capital Expenditure ◽  
Impulse Response Function ◽  
Series Data ◽  
Vector Autoregressive ◽  
Long Run ◽  
Short Run

The paper empirically examines the dynamics of exports and economic growth in Nigeria using time series data for 1970 to 2017. The Vector autoregressive model (VAR) was used to investigate the long run and short run relationship between exports and economic growth as well as some selected variables. The result shows that there exists a stable long run relationship among economic growth, exports, capital expenditure on education and social services. Also, the Granger causality results reveal that export Granger causes economic growth and not the other way round. This means that an increase in economic growth may result from increase in export, but increase in economic growth does not necessarily lead to increase in exports. The Impulse Response Function (IRF) shows that a one standard innovation in exports will lead to permanent positive impact on economic growth in Nigeria. This therefore supports the exports led growth hypothesis for Nigeria.

scholarly journals Effect of Agricultural Financing on the Performance of Agricultural Sector in Nigeria

2021 ◽  
Vol 2 (2) ◽  
pp. 1-13
Author(s):  
Obioma I. F. ◽  
Ihemeje J. C. ◽  
Ogbonna C. I. ◽  
Amadi C. O. ◽  
Hanson U. E
Keyword(s):  
Commercial Banks ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Agricultural Credit ◽  
Vector Autoregressive ◽  
Credit Guarantee ◽  
Explanatory Variables ◽  
Long Run

The study examined the effects of agricultural financing on the performance of agricultural sector in Nigeria using annual time series data. The data for the study was sourced from the Central Bank of Nigeria (CBN) Statistical Bulletin. Contribution of agriculture to GDP was used as proxy for the performance of agricultural sector, commercial banks loan to agriculture, rain fall, government expenditure to agriculture and interest rate were used as proxy for explanatory variables. Following unity in the order of integration, Johansen cointegration approach was used to check for the long run relationship among the variables. Vector autoregressive estimate the vector correction mechanism was used to examine the speed of adjustment of the variables from the short run dynamics to the long run equilibrium. The study found that there is long run relationship among the variables. Specifically; there is significant and long run effect of Agricultural Credit Guarantee Scheme on Contributions of agriculture to GDP. Commercial banks loans to agriculture showed positive and significant effect on Contributions of agriculture to GDP within the reference period. The coefficient of multiple determinations explained the variation in the dependent variable jointly explained by the independent variables. The study recommend that there should be increase in the amount which the agricultural credit guarantee scheme inject into the sector on annual basis and  proper supervisory measures should be constituted in order to ensure efficient application and use of the money.

scholarly journals Financial Openness and Capital Inflows to Emerging Markets

2019 ◽  
Vol 2019 (194) ◽  
Author(s):  
Diego Cerdeiro ◽  
Andras Komaromi
Keyword(s):  
Capital Flows ◽  
Capital Inflows ◽  
Capital Account ◽  
Financial Openness ◽  
Pull Factors ◽  
Push And Pull Factors ◽  
Interaction Terms ◽  
Long Run ◽  
Cross Country ◽  
Push And Pull

We reassess the connection between capital account openness and capital flows in an empirical framework that is grounded in theory and makes use of previously unexplored variation in the data. We demonstrate how our theory-consistent regressions may overcome some ubiquitous measurement problems in the literature by relying on interaction terms between financial openness and traditional push-pull factors. Within our proposed framework, we ask: what can be said robustly about the effect of capital account restrictions on capital flows? Our results warrant against over-interpreting the existing cross-country evidence as we find very few robust relationships between capital account restrictiveness and various types of capital inflows. Countries with a higher degree of financial openness are more susceptible to some, but by no means all, push and pull factors. Overall, the results are still consistent with a complex set of tradeoffs faced by policymakers, where the ability to shield the domestic economy from volatile capital flow cycles must be weighed against the sources of exogenous risks and potential long run growth effects.

Macro-Economic Disequilibrium and Educational Development in Nigeria between 1980-2017

2019 ◽  
Vol 10 (08) ◽  
pp. 20592-21600
Author(s):  
Gbadebo Salako ◽  
Adejumo Musibau Ojo ◽  
Jaji Ayobami Francis
Keyword(s):  
Time Series Data ◽  
Educational Development ◽  
Negative Relationship ◽  
Series Data ◽  
Explanatory Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Stationarity Test ◽  
Level I

This study empirically investigates the effects of macroeconomic disequilibrium on educational development in Nigeria. The study employed time series data between 1980 and 2017. Autoregressive Distributed Lag method of estimation was employed. The result revealed that the variables stationarity test were mixed between the first difference I(I) and level I(0). The cointegration result shows that there exist long run relationship between the variables. The result revealed that Balance of payment, Poverty, Debt rate inflation and unemployment exhibited negative relationship with educational development. The estimation result showed that all explanatory variables account for 88% variation of educational development in Nigeria. It is therefore recommended that government should fast track policies that can stabilize inflation and exchange rate in the country. Also, Policies must be formulated to reduce poverty and unemployment.

Impact of exchange rate and oil price on the yield of sovereign bond and sukuk: Evidence from Malaysian capital market

2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman
Keyword(s):  
Exchange Rate ◽  
Capital Market ◽  
Time Series Data ◽  
Oil Prices ◽  
Oil Price ◽  
Series Data ◽  
Sovereign Bond ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.

EMPIRICAL ANALYSIS OF INDIA’S FOREIGN TRADE AND ECONOMIC GROWTH

2020 ◽  
Vol 8 (10) ◽  
pp. 105-111
Author(s):  
Khujan Singh ◽  
Anil Kumar
Keyword(s):  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Significant Implication ◽  
Causality Test ◽  
First Order ◽  
Long Run ◽  
Directional Relation ◽  
Augmented Dickey Fuller ◽  
Vecm Granger Causality

The present study is an attempt to examine long run relationship among India’s GDP, Exports and Imports for which yearly time series data from 1995 to 2018 has been collected. Data for India’s GDP has been collected from RBI website and India’s export and import data has been collected form Ministry of Commerce and Industry website. The Augmented Dickey-Fuller unit root test for stationarity found that studied variables become stationary at first order of difference. While, Johnson cointegration test revealed long run cointegration between India’s GDP, exports and imports. The results of VECM Granger causality test exhibited bi-directional relationship between India’s GDP and India’s exports, whereas uni-directional relation has been found between India’s GDP and India’s imports. These results have significant implication for India’s export import policy and to achieve a target of $5 trillion economy till 2024-2025.

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