THE EFFECT OF THE INFLUX OF FOREIGN LABOUR IN MALAYSIA BY AUGMENTED MRW MODEL

2015 ◽  
Vol 76 (13) ◽  
Author(s):  
Saiyidatul Saadah Ahmad Nizam ◽  
Rohanin Ahmad ◽  
Nur Arina Bazilah Aziz

There are pros and cons in hiring foreign labour on the economy. The influx of foreign labour is a common phenomenon, but when their involvement is unlimited it will be one serious issue. Malaysia is one of the developing countries where industrial and construction sectors are in need of labour and this has opened up opportunities for foreign labour. Their inflow into Malaysia is increasing every year and this has caused problems such as time-consuming construction due to low-skilled labour and crime problems caused by problematic labour. We augmented Mankiw-Romer-Weil model by isolating the foreign labour element in human capital to find the effect of the influx of foreign labour in Malaysian economic growth. The results from our model show that the employment of foreign labour increases the rate of human capital but decreases the rate of physical capital. Therefore, the level of the production function also decreases.

2021 ◽  
Author(s):  
◽  
Vera Hansen

<p>The main goal of this thesis is to construct a theoretical model that provides an explanation for the relationship between growth and new entry that is consistent with empirical evidence. The model is a four sector endogenous growth model in which there is a technologically advanced and a technologically laggard consumption goods which are imperfect substitutes. The production of each good requires its own stock of human capital and physical capital. The accumulation of physical capital and human capital in each industry is modelled by a Cobb-Douglas production function. The main result of the model is that new entries have a positive effect on the fraction of the existing stock of human capital devoted to the accumulation of human capital in both the advanced and laggard sectors. However, this effect is stronger in the advanced sectors than in the laggard sectors. This result is consistent with empirical evidence.</p>


2018 ◽  
Vol 45 (3) ◽  
pp. 480-491 ◽  
Author(s):  
Kashif Munir ◽  
Shahzad Arshad

Purpose The purpose of this paper is to examine the long-run and short-run relationship between factor accumulation (i.e. physical capital and human capital) and economic growth by calculating the stocks of human capital and real physical capital. Design/methodology/approach The study uses endogenous growth model, where GDP per worker is the dependent variable and factor accumulation (real physical capital per worker and human capital) is the explanatory variable under the autoregressive distributive lag framework from 1973 to 2014 for Pakistan. Findings The results suggest that there is a long-run relationship between factor accumulation and GDP per worker in Pakistan. Findings of the study are consistent with the endogenous growth model suggesting that accumulation of human capital increases labor productivity, employment level and per capita income, and causes economic growth. Practical implications Developing countries like Pakistan should increase share of human capital for economic development. Government should invest in the education sector because investment in human capital has a large potential of productivity growth and welfare increase in developing countries. Originality/value This study challenges the notion of human capital and real physical capital stock used by different researchers. Considering human capital as a core factor of production, a series of human capital as average year of schooling is calculated by utilizing the perpetual inventory method.


2021 ◽  
Author(s):  
◽  
Vera Hansen

<p>The main goal of this thesis is to construct a theoretical model that provides an explanation for the relationship between growth and new entry that is consistent with empirical evidence. The model is a four sector endogenous growth model in which there is a technologically advanced and a technologically laggard consumption goods which are imperfect substitutes. The production of each good requires its own stock of human capital and physical capital. The accumulation of physical capital and human capital in each industry is modelled by a Cobb-Douglas production function. The main result of the model is that new entries have a positive effect on the fraction of the existing stock of human capital devoted to the accumulation of human capital in both the advanced and laggard sectors. However, this effect is stronger in the advanced sectors than in the laggard sectors. This result is consistent with empirical evidence.</p>


2018 ◽  
Vol 13 (6) ◽  
pp. 1928-1947
Author(s):  
Svitlana Shevelova ◽  
Svitlana Plaskon

Purpose Despite an increasing volume of literature focussed on foreign direct investment (FDI) in transition economies, there has been little research into FDI in Ukraine. The relationship between the inflows of FDI (IFDI) and absorptive capacity (AC) has been under-researched in the peripheral transition countries like Ukraine. The purpose of this paper is to analyse the appropriateness of the Ukrainian economy’s AC to attract IFDI and facilitate economic growth with a particular focus on AC factors, such as the potential of human resources to absorb innovation and benefit from research and development (R&D) expenditure. Design/methodology/approach This study presents a thoughtful research design: there is an analysis of the AC framework for justification and selection factors that allows a measurement of the potential of Ukraine’s AC to attract and exploit IFDI. The study uses data from 25 regions in Ukraine for the 1996–2015 period. To estimate the effects of IFDI on Ukrainian economic growth, a Cobb–Douglas production function is used. As an appropriate instrumentation technique for dynamic panel data, the Generalised Method of Moments is used to provide unbiased and efficient estimates of the results. The application of the interactive term in this study allows the authors to indicate the existence of complementarities between IFDI and human capital, in particular with higher education, that afford opportunity to absorb new technologies and benefit from IFDI. Findings The resulting model indicates that R&D expenditure benefited very significantly in evolving country’s innovation system due to economic growth. Physical and human capital has not been used effectively in Ukraine to facilitate economic growth and attract IFDI. The number of patents is not significant in all of the regression models. Moreover, IFDI in Ukraine for the 1996–2015 period did not significantly impact on economic growth. However, the AC of human capital, in particular those with a higher education, is relatively relevant to benefit from IFDI. Practical implications The findings have important implications for governmental policy, which should be based on improving the business climate, a strategy for digital development, innovation, migration, institutional and regional policies aimed at the achievement of country’s sustainable economic growth. The government should increase R&D expenditure as an important factor of gross domestic product growth and introduce grants, loans and other financial supports for encouraging students to continue university education. Originality/value The originality and value of this paper is empirical and methodological. The empirical results of this study enable a conclusion about the appropriate level of the country’s absorptive capability required to benefit from IFDI. The paper also contributes to the existing academic debate and proves that despite the well-established theoretical framework for the IFDI–AC economic impact context, a new theorisation is needed to explore the full complexity of the country’s explicit relationship between AC and IFDI. Future research should be focussed on examining not only groups of countries but also distinctly the country’s explicit relationship between AC and IFDI with the particular attention for the under-researched countries: the peripheral transition economies to discover new research niches for theory building. This study presents an original methodological approach with a careful justification of the theoretical framework for hypothesis development, an appropriate sample and an original application of seminal research methods based on the Cobb–Douglas production function. This study proves that the interactive term, which allows indication of the existence of complementarities between IFDI and other variables, is appropriate for measuring AC in countries with smaller amounts of IFDI.


Author(s):  
Assaf Razin

The disunion of the Soviet Union and the destruction of communism in the USSR 1987-1991 triggered the recent emigration wave of Soviet Jews to various parts of the world, primarily to Israel. The professional, social, attitudinal and behavioral characteristics of the 1990s Jewish exodus cohort proved to be distinctive. Immigrants came mostly from urban areas, with advanced education systems. Immigration produced massive investments, both in residential structures and in non-residential capital. These investments were so substantial that they increased the capital to labor ratio and facilitated economic growth, aided by the remarkable human capital brought by the immigrants. The massive investments in physical capital and infrastructures were financed by capital imports as immigrants themselves fled their former homes almost penniless and credit constrained so that they hardly saved.


2019 ◽  
Vol 15 (4) ◽  
pp. 629-650 ◽  
Author(s):  
Yilin Zhang ◽  
Zhenyu Cheng ◽  
Qingsong He

Purpose For the developing countries involving in the Belt and Road Initiative (BRI) with China as the main source of foreign development investment (FDI) and development as the top priority, it appears to attract more and more attention on how to make the best use of China’s outward foreign development investment. However, the contradictory evidence in the previous studies of FDI spillover effect and the remarkable time-lag feature of spillovers motivate us to analyze the mechanism of FDI spillover effect. The paper aims to discuss this issue. Design/methodology/approach The mechanism of FDI spillovers and the unavoidable lag effect in this process are empirically analyzed. Based on the panel data from the Belt and Road developing countries (BRDCs) and China’s direct investments (CDIs) from 2003 to 2017, the authors establish a panel vector autoregressive model, employing impulse response function and variance decomposition analysis, together with Granger causality test. Findings Results suggest a dynamic interactive causality mechanism. First, CDI promotes the economic growth of BRDCs through technical efficiency, human capital and institutional transition with combined lags of five, nine and eight years. Second, improvements in the technical efficiency and institutional quality promote economic growth by facilitating the human capital with integrated delays of six and eight years. Third, China’s investment directly affects the economic growth of BRDCs, with a time lag of six years. The average time lag is about eight years. Originality/value Based on the analysis on the mechanism and time lag of FDI spillovers, the authors have shown that many previous articles using one-year lagged FDI to examine the spillover effect have systematic biases, which contributes to the research on the FDI spillover mechanism. It provides new views for host countries on how to make more effective use of FDI, especially for BRDCs using CDIs.


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