scholarly journals The relationship between of international migration, income per capita and unemployment rate in Indonesia

2020 ◽  
Vol 8 (4) ◽  
pp. 387-396
Author(s):  
Siti Komariyah ◽  
R. Alamsyah Sutantio

International migration has become an interesting issue in recent decades as globalization has become increasingly widespread as a form of openness in the world economy. This economic openness also results in changes in life socially, economically and culturally more dynamically. One of the dynamics of socio-economic conditions is shown by the increasingly flexible and dynamic international migration that occurs in several countries. Some underlying factors include conditions of income and unemployment. This study aims to analyse the response of migration when there is dynamics in per capita income as a proxy for welfare and unemployment as a proxy for employment conditions. VAR analysis is a method to see these responses through the IRF. The results of the analysis showed a significant response from migration as a result of the shock that occurred in both variables and with OLS estimation, both of these variables have a significant impact on influencing Indonesia's international migration flow. These is a signal that the main factor causing international migration is dominant due to the dynamics of income and labour market conditions (unemployment) in Indonesia. Although in other cases, migration also has a positive impact on some parties such as increasing income per capita for migrants, reducing unemployment and increasing the country's foreign exchange, but this condition also needs proper supervision and management. This must also be considered from various other aspects such as demographic conditions related to the age structure of the population and availability of employment to create a balance in the labour market

Author(s):  
Dominika Kuberska ◽  
Karolina Suchta

The aim of the study was to unveil the specifics of consumer behavior on the certified baby food market, in particular with regard to their determinants. A questionnaire was used as a tool to conduct this study. A unique nature of the relationship between the buyer and the consumer on the market (a mother and a child) could have influenced the results obtained. Price is not the key determinant of behavior of buyers on the market. In addition, there is no correlation between the net income per capita and household expenditure on certified baby food.


2021 ◽  
Vol 45 (2) ◽  
pp. 261-289
Author(s):  
Eduard J. Alvarez-Palau ◽  
Alfonso Díez-Minguela ◽  
Jordi Martí-Henneberg

AbstractThis study explores the relationship between railroad integration and regional development on the European periphery between 1870 and 1910, based on a regional data set including 291 spatial units. Railroad integration is proxied by railroad density, while per capita GDP is used as an indicator of economic development. The period under study is of particular relevance as it has been associated with the second wave of railroad construction in Europe and also coincides with the industrialization of most of the continent. Overall, we found that railroads had a significant and positive impact on the growth of per capita GDP across Europe. The magnitude of this relationship appears to be relatively modest, but the results obtained are robust with respect to a number of different specifications. From a geographical perspective, we found that railroads had a significantly greater influence on regions located in countries on the northern periphery of Europe than in other outlying areas. They also helped the economies of these areas to begin the process of catching up with the continent’s industrialized core. In contrast, the regions on the southern periphery showed lower levels of economic growth, with this exacerbating the preexisting divergence in economic development. The expansion of the railroad network in them was unable to homogenize the diffusion of economic development and tended to further benefit the regions that were already industrialized. In most of the cases, the capital effect was magnified, and this contributed to the consolidation of newly created nation-states.


2016 ◽  
Vol 22 (6) ◽  
pp. 1174-1190 ◽  
Author(s):  
Namhyun Kim ◽  
HakJun Song ◽  
Ju Hyun Pyun

This study investigates the relationship among tourism, poverty, and economic development in developing countries. The empirical model is set up using unbalanced panel observations for 69 developing countries for the period 1995–2012. The findings show that tourism has heterogeneous effects on the poverty ratio in terms of a country’s income per capita: the positive effect of tourism on poverty alleviation switches to being negative after a certain threshold of a country’s income level. The results of this study indicate that only the least developed countries (those with an income per capita below international dollar 3400) have benefited from the tourism industry in terms of reducing their poverty ratios.


Author(s):  
Gratiela Georgiana Noja ◽  
Liana Son

The research conducted aims to identify and assess the interdependencies between international migration and labour market outcomes, focusing both on emigration and immigration effects on sending, and destination countries, as well as on economic (labour force) and non-economic (humanitarian, refugees) migration. International migration as one of the most important frontiers of globalization represents a major challenge globally, with significant economic consequences, especially for Europe, where large migrant flows have emerged in the context of European integration. Moreover, recently there is an increased waves of refugees and asylum seekers targeting Germany, Austria, Sweden or Turkey as main destination countries coming through Eastern and Central Mediterranean or Western Balkans routes. The analysis is based on developing various double-log fixed and random effects models, as well as dynamic models, using a panel structure that covers five main EU destination countries (Germany, Austria, Sweden, Italy and Spain) and three New EU Member States since 2007 and 2013 (Romania, Bulgaria, Croatia). We used a complex set of indicators (national accounts – GDP total, per capita, per person, employed; labour market – employment, unemployment, wages, secondary and tertiary education; migration specific data – immigration flows and stocks, asylum seekers and refugees, emigrant stocks), compiled during 2000-2014. Moreover, we used a SEM model (Structural Equations Modelling) to better capture the labour market impacts of international migration for the selected EU countries. The models are processed through OLS, GLS, and MLE methods, as well as by using panel corrected standard errors, and are completed within and out-of-sample predictions. The results show that immigration flows have important economic consequences leading to significant changes in labour market performances (slight decrease in employment rates and wage levels), which largely vary from one country to another. On the long-run, the negative effects of immigration tend to predominate. From the emigration perspective, the findings show some positive effects of labour emigration on sending countries, by enabling to upgrade the living standards for those remaining, mainly through remittances. Still, there is a negative impact generated on the size and structure of internal labour force and, on the long run, this is proving to be extremely negative (slow GDP per capita growth rates).


2020 ◽  
Vol 8 (5) ◽  
pp. 1566-1571

Milk provides nutritious food and supplements the income of rural people of the country. The study investigates the growth and development of the dairy industry in India. It studies the status of milk production and consumption of the country. The study attempts to forecast the production of milk in the country at the current trend of production. It tries to find the relationship between milk production of the country with its global export and imports. The findings will be helpful for both the policymakers and the dairy farm industry in making a production decision. Descriptive statistics, forecasting, and correlation analysis were used during the study to bring out the relationship between production, consumption, and distribution of milk products. It was found that with the current production trend in the country, India will be able to produce about 217 million tonnes of milk by 2025. The per capita milk availability of the country stands at 351 gms in 2016-17, which exceeds the global milk per capita availability of 229 gms per day. Correlation analyses were used to determine if there is a relationship between import and export of milk products with that of the amount of milk produced. The findings indicated that the production of milk has a positive impact on the export of milk products (r = 0.220, p = 0.601), whereas it has a negative effect on the imports (r = 0.228, p = 0.588). The study found that there is ample room for promotion, production, and distribution of liquid milk and its products, which policymakers and dairy industry can use it in their favour.


JEJAK ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 304-315
Author(s):  
Wira Yasari

This study aims to analyze the convergence of economic growth in South Kalimantan Province in 2011-2019 based on the level of income per capita. The population of this research is the districts in South Kalimantan Province. Subjects take in the form of levels of income per capita with secondary data sourced from BPS. The analytical tools used are economic growth, Theil index, Williamson index, and Klassen typology model. This study also analyzes the relationship between economic growth and income inequality using Pearson correlation analysis. The results of this study indicate that there is a convergence of inequality in South Kalimantan Province in 2011-2019 with an average Williamson Index value at 0.496 and Theil index at 17.928. Based on the Klassen typology classification, only Tapin District is in the category of high developed and fast growing region. The output on the Pearson analysis correlation shows that there is a non-significant positive correlation between economic growth and income inequality. Furthermore, South Kalimantan Province does not support on the Kuznets hypothesis for the period 2011-2019.


2016 ◽  
Vol 11 (2) ◽  
pp. 304-318 ◽  
Author(s):  
Yariv Itzkovich

Purpose – Drawing on the exchange model and the multidimensional approach to job insecurity, the purpose of this paper is to assess the relationship between perceived incivility and two possible outcomes: job insecurity and employee deviance, while differentiating between two separate groups of targets, namely targets who possess high employment status and targets with low employment status. Design/methodology/approach – Data were collected in 2014 in Israel. An on-line questionnaire method was used, through which 648 valid responses were collected and analyzed using structural equational modeling. Findings – H1 and H2 maintained that incivility would have a positive impact on job insecurity and employee deviance. The other three hypotheses maintained that the perception of incivility, as well as the relationship between incivility and both job insecurity and employee deviance, would be stronger for employees working under less favorable employment conditions. The model’s fit indices indicated a good fit, suggesting that all five hypotheses were accepted. Originality/value – This study elaborates on previous studies by showing that incivility can predict job insecurity and employee deviance. Data related to the potential deviant outcomes of incivility are relatively rare. Additionally, the current research framed incivility, which is a micro-level behavior, in a wider context of employment relations. As precarious employment arrangements are on the rise, it is necessary to understand its hidden implications and threats to both employees and organizations. From a methodological point of view, this study introduced a shorter version of Robinson and Bennett’s (1995) workplace deviance scale, which pertains to the authors’ theoretical model.


Author(s):  
David Mare ◽  
Jason Timmins

In this paper we examine the link between local labour market adjustment and internal migration. We use census data to provide a range of labour market indicators, and measures of movements of people between locations. We then consider the relationship between internal migration and regional labour market adjustment, examining the importance of accounting for persistent regional differences, international migration, and how similar locations are. We provide some preliminary estimates of labour market - migration links, building on the foundation of a simple gravity-model relationship.


Author(s):  
Nor Asmat Ismail ◽  
Abdallah El Moctar El Houssein

This study investigated the relationship between income per capita and government spending in Malaysia using annual data spanning from 1980-2018. Auto-regressive distributed lag (ARDL) and VAR-differenced model (VECM) was employed to examine the relationship between income per capita, government consumption, and government expenditure on education. Inflation is used as a control variable in the model. The result concluded that government consumption, government expenditure in education, and inflation have a unidirectional short-run causal effect on income per capita. In the long run, income per capita has a negative relationship with government consumption spending, while has a positive relationship with government expenditure in education. Government expenditure in education is crucially important in Malaysia and it should be continued to give more opportunities for Malaysians to get a better education and as a result, get a better job and improve the standard of living.


2021 ◽  
Vol 4 (1) ◽  
pp. 366-372
Author(s):  
Erwinsyah

The Environmental Kuznets Curve is used to investigate the relationship between various indicators of environmental degradation and income per capita. The economic growth measured from the change of income per capita contributes negative externalities to nature, and education contributes to better knowledge for sustainable development. The purpose of this research was to apply the Environmental Kuznets Curve to see the impact of income per capita and education on environmental degradation. The objective of this research was to examine how GDP per capita and education contribute to per capita CO2emission in Canada, Spain, and Indonesia. The research output showed a relationship between per capita GDP with per capita CO2emission in Canada and Spain. Contribution of per capita GDP to per capita CO2emission of Canada higher than Spain. The higher per capita GDP will rise per capita CO2emission. The per capita GDP of Indonesia does did contribute significantly to per capita CO2emission. The was also a significant relationship between education quality and per capita CO2emission in Canada, Spain, and Indonesia. The better education quality in Canada and Spain contribute to lower per capita CO2 emissions. Education quality in Indonesia contributed to the higher per capita CO2emission. Keywords:Environmental Kuznets Curve, Per Capita CO2 Emission, Per Capita GDP, Education


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