scholarly journals Globalization and female economic participation in MINT and BRICS countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tolulope Osinubi ◽  
Simplice Asongu
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Labour Force Participation Rate ◽  
Content Type ◽  
Brics Countries ◽  
Long Run ◽  
Economic Participation

PurposeThis study examines the effect of globalization on female economic participation (FEP) in MINT (Mexico, Indonesia, Nigeria and Turkey) and BRICS (Brazil, Russia, India, China and South Africa) countries between 2004 and 2018.Design/methodology/approachFour measures of globalization are employed and sourced from KOF globalization index, 2018, while the female labour force participation rate is a proxy for FEP. The empirical evidence is based on the Pooled Mean Group (PMG) estimator.FindingsThe findings of the PMG estimator from the Panel ARDL method reveal that political and overall globalization in MINT and BRICS countries have a positive impact on FEP, whereas social globalization exerts a negative impact on FEP in the long-run. It is observed that economic globalization has no long-run effect on FEP. Contrarily, all the measures of globalization reflect no short-run effect on FEP. This supports the argument that globalization has no immediate effect on FEP. Thus, it is recommended that both MINT and BRICS countries should find a way of improving the process of globalization generally to empower women to be involved in economic activities.Originality/valueThis study complements the extant literature by focusing on how globalization dynamics influence FEP in the MINT and BRICS countries.

Structure and growth of employment: evidence from India KLEMS data

2019 ◽  
Vol 12 (2) ◽  
pp. 202-228
Author(s):  
Suresh Chand Aggarwal ◽  
Bishwanath Goldar
Keyword(s):  
Growth Rate ◽  
Employment Growth ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Recent Period ◽  
Data Set ◽  
Labour Force Participation Rate ◽  
Content Type ◽  
Employment Elasticity

Purpose This study aims to analyze the structure and trend in employment in the Indian economy between 1980-8081 and 2015-2016. Design/methodology/approach Use of India KLEMS data set. Estimate growth rate of employment and discuss employment prospects using “Point” employment elasticity. Findings Whilst India’s GDP growth rate has been quite impressive since the reforms of 1991, the rate of employment growth, especially in the recent period of 2003-2015, has been quite slow (1 per cent) with low employment elasticity (0.1). The pattern of employment growth has also been imbalanced with slow rate of employment growth in manufacturing and rapid growth rate in the construction sector. India now also has low labour force participation rate and a large share of informal employment in the economy. Research limitations/implications The limitation is the lack of reliable data on employment for the recent period. Practical implications With overall low employment elasticity, India would have to explore sectors where more employment opportunities could be created. Social implications India has to create not only more jobs but also “good” jobs. Originality/value The India KLEMS data provide a time series for employment, which has been used in this paper to find “Point” elasticity instead of arc elasticity of employment and is an improvement over existing employment elasticity estimates.

scholarly journals How Does Government Spending Affect Labour Force Participation and Unemployment Within the WAMZ Countries?

2020 ◽  
Vol 8 (2) ◽  
pp. 30
Author(s):  
Abdulaleem Moyosore Isiaka
Keyword(s):  
Least Squares ◽  
Unemployment Rate ◽  
Government Spending ◽  
Dynamic Models ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Parameter Estimates ◽  
Labour Force Participation Rate ◽  
Long Run

This study utilizes static and dynamic models in examining the short run and long run impacts of government spending on labour force participation and unemployment within the West African Monetary Zone (WAMZ) over the period 1991-2018. While the static models are estimated using the Pooled Ordinary Least Squares (POLS) technique and the Least Squares Dummy Variables (LSDV) technique, the dynamic models are estimated using the GMM-IV technique. The GMM-IV technique better addresses endogeneity issues relative to the other techniques utilized and also, the parameters obtained from the technique are confirmed to be consistent by the Arellano-Bond test for zero autocorrelation. Accordingly, this technique is given preference in this paper. The results from the technique reveal that government spending increases the labour force participation rate but has an ambiguous impact on unemployment rate. In the long run, the parameter estimates largely remain unchanged in terms of their sign and significance; however, they increase in size. Based on these findings, this paper firstly recommends that policy makers intensify efforts in increasing government spending; as a reduction may impact negatively on the labour force participation rate. Secondly, this paper recommends the formulation and implementation of fiscal policies that are robust enough to reduce the unemployment rate as they increase the labour force participation rate.

How does trade openness affect female labours?

2019 ◽  
Vol 41 (4) ◽  
pp. 375-390
Author(s):  
Jing-Ping Li ◽  
Zheng-Zheng Li ◽  
Ran Tao ◽  
Chi Wei Su
Keyword(s):  
Labour Force ◽  
Trade Openness ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Threshold Value ◽  
Female Employment ◽  
Female Labour Force Participation ◽  
Labour Force Participation Rate ◽  
Female Labour ◽  
Content Type

Purpose The purpose of this paper is to investigate the non-linear threshold effects between trade openness and female labours to participate in the labour markets. Design/methodology/approach The authors consider data for nine Asian countries from 1990 to 2016 period and perform the panel threshold regression method. Findings Empirical results indicate that the threshold value is occurred. With the increase of trade openess, the female labour force participation rate shows a trend of rising first and then declining. Furthermore, exports also have an asymmetric threshold effect on female labour force participation, which is partly in accordance with the discrimination model (Becker, 1957). On the other hand, imports dependency will hinder female labour force participation regardless of a threshold effect. The authors obtain similar results when the authors consider the female employment rate as substitution. Practical implications Specifically, increased trade openness may contribute positively or negatively towards overall female labour force participation rate (FLFPR), attributed to the relative importance of these opposing effects. Thus, when the cost reduction effect, resulting from intensified competitive pressure and comparative advantages would enhance the participation rate, the technology channel operates in the opposite direction. Therefore, from the perspective of female employment, trade openness is not the more the better. Originality/value This study innovatively discusses the non-linear correlation between trade openness and FLFPR and distinguishes the different contributions from exports and imports. The advanced threshold regression model assumes the existence of threshold value from trade to female employment. Thereby, targeted policies for the government should be applied to promote active female in the labour market.

Labour force participation of elderly in India: patterns and determinants

2016 ◽  
Vol 43 (5) ◽  
pp. 502-516 ◽  
Author(s):  
A Bheemeshwar Reddy
Keyword(s):  
Older Persons ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
The Elderly ◽  
Sample Survey ◽  
Probit Regression ◽  
Cross Sectional ◽  
Labour Force Participation Rate ◽  
Content Type

Purpose – The purpose of this paper is to analyse the labour force participation of older persons (aged 60 and above) in India from 1983 to 2011-2012. The paper also briefly reviews the conditions of work for the elderly and examines different socio-economic and demographic factors that are associated with labour force participation of elderly in India. Design/methodology/approach – The author uses data from repeated cross-sectional rounds of Employment and Unemployment Surveys of National Sample Survey Office from 1983 to 2011-2012. The author uses probit regression model to identify the socio-economic and demographic variables that are associated with the labour participation of the elderly in India. Findings – The results show that labour force participation rate of older persons in rural India remained almost stable between 1983 and 2011-2012, despite the rapid economic growth that India experienced during the same period. Further, the results show that among the elderly, those who belong to relatively poor socio-economic status are more likely to participate in the labour force. It is observed that large percentage of the elderly workforce are engaged in poorly paid jobs in the informal sector, either as casual workers or as self-employed in low-skilled or unskilled occupations. Research limitations/implications – This paper is mostly descriptive in its analysis and it only points to the possible socio-economic and demographic determinants of elderly labour force participation in India. Originality/value – Given that the studies on employment of elderly in India are scanty, this paper provides new evidence on changes in labour force participation of elderly over last three decades. Further, this study makes an attempts to understand who among the elderly most likely to participation in labour force in India.

scholarly journals Education and Unemployment in Israel, 1976-1994: Reducing the Anomaly

2005 ◽  
Vol 54 (4) ◽  
pp. 673-693 ◽  
Author(s):  
Jacob (Yaacov) Weisberg ◽  
Noah M. Meltz
Keyword(s):  
Unemployment Rate ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Multivariate Regression Analysis ◽  
Government Support ◽  
Labour Force Participation Rate ◽  
Education Group ◽  
Education Levels ◽  
Low Educated

In industrialized economics, unemployment rates are inversely related to education levels. Data from 1963 to 1994 show that Israël is an anomaly exhibiting an inverted U-shaped relationship. Workers with 9-12 years of schooling consistently experienced a higher level of unemployment than the schooling groups with less and more education. Multivariate regression analysis of data for Israël during the 1976-1994 period indicates that this inverted U-shaped relationship is moderating. The national unemployment rate and a time trend variable had positive and significant effects tending to strengthen the inverted U-shaped relationship. However, an increase in the unemployment rate within the 0-8 education group relative to the 9-12 group and a decline in the labour force participation rate of the 0-8 group overrode these factors, resulting in a flattening of the inverse relationship. The major factor responsible for the anomaly in the education-unemployment relationship in Israël appears to be government policies intended to protect low-educated immigrants with large familles. A reduction in government support over recent years seems to have increased the exposure of the least educated to labour market forces.

scholarly journals Fertility and socio-economic determinants: evidence from co-integration and multivariate Granger casualty tests

2016 ◽  
Vol 4 (1) ◽  
pp. 134
Author(s):  
Prakash Kengnal ◽  
Asha Bullappa
Keyword(s):  
Labour Force ◽  
National Income ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Fertility Rate ◽  
Gross National Income ◽  
Female Labour Force Participation ◽  
Labour Force Participation Rate ◽  
Female Labour ◽  
Per Capita

Background: The empirical work on fertility determinants widely discusses the role of socio-economic factors like female labour force participation rate, urban population and per capita gross national income in determining fertility rates. The India’s high fertility rate began to decline gradually after late 1950s and continued to fall since then. India achieved almost 31 per cent decline in fertility rate from 1990 to 2012. The objective was to examine the relationship between fertility rate, urbanization, female labour force participation rate and per capita gross national income for India.Methods: This study covers the sample period from 1990-2012. Moreover, the direction of causality between fertility rate, urbanization, female labour force participation rate and per capita gross national income in India using Granger Causality test within the Vector Error-Correction Model (VECM) are examined.Results: As a summary of the empirical results, we found that fertility rate, urbanization, female labour force participation rate and per capita gross national income in India are co-integrated and there is unidirectional Granger Causality between the four variables in long and short-run.Conclusions: The growth in urban population, female labour force participation rate and per capita gross national income are responsible for the decrease in fertility rate in India.

The Australian labour market in 2019

2020 ◽  
Vol 62 (3) ◽  
pp. 341-364 ◽  
Author(s):  
Elisa Birch ◽  
Alison Preston
Keyword(s):  
Labour Market ◽  
Employment Growth ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Policy Formulation ◽  
Total Employment ◽  
Labour Force Participation Rate ◽  
Minimum Number ◽  
Part Time

1 This article provides an overview of the key features of the labour market in 2019, with historical data providing insight into recent trends. In 2019, the female labour force participation rate reached an all-time high of 61.3%, 10 percentage points lower than the male rate. Disaggregated analysis shows this growth stems from rising participation amongst older women. This, in turn, is underpinned by a growth in feminised sectors of the labour market, notably the Health Care and Social Assistance sector. Since 2000 this sector has contributed 22.6% to total employment growth and at 2019 accounted for 13.5% of the Australian workforce. There has also been a growth in part-time and casual employment over recent years, with the latter now accounting for 25% of all employees. These are concerning developments, with estimates showing that 58.6% of casuals are not guaranteed a minimum number of hours of work in their job. The article notes that wages growth remains below that required to stimulate employment growth, and that a continued focus on conventional labour market indicators has the potential to lead to misguided policy formulation.

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