The Impact of Migration Controls on Urban Fiscal Policies and the Intergenerational Transmission of Human Capital in China

2020 ◽  
Author(s):  
Holger Sieg ◽  
Chamna Yoon ◽  
Jipeng Zhang
2017 ◽  
Vol 44 (2) ◽  
pp. 267-283 ◽  
Author(s):  
Fareed Shareef ◽  
Muhammad Junaid Khawaja ◽  
Toseef Azid

Purpose Since the pristine works of Schultz (1961) and Becker (1964, 1975), the concept of intergenerational transmission has constantly been in the front line of discussion among the social scientists to divulge the sources and channels through which diffusion of socio-economic status can take place across the generations. The purpose of this paper is to explore the intergeneration links via monetary channels through decomposition technique. Design/methodology/approach Using a sample of 613 households selecting through systematic sampling from Multan district (Pakistan). Making a three tier analyses, i.e. simple, sequential and double decomposition, the findings of the models support the hypothesis of the study that children of high-income parents also fall in high-income groups. Findings The simple decomposition analysis using education as the pathway factor reveals that parental income is pivotal in determining the education and ultimately the level of their child’s income. The sequential analysis incorporates occupation and depicts a positive association between the offspring education and occupation. In the double decomposition analysis, the direct component reveals that even among those children with the same level of education, higher parental income is linked with the better occupational achievements, whereas indirect component explains the impact of parental income on occupation via education of the children. In other words, it explains the degree to which children with higher family income acquire more education and consequently get better jobs. Research limitations/implications In Pakistan like the other developing countries nationwide surveys are not conducted at the government level. Practical implications This study is providing the guideline to the policy makers for the formulating their policies for developing and managing the human capital. Social implications The findings of this study are useful for reducing the inequality in the society. Originality/value This is an original and first time it is going to be conducted in a country like Pakistan


2020 ◽  
Vol 16 (10) ◽  
pp. 1960-1979
Author(s):  
N.A. Egina ◽  
E.S. Zemskova

Subject. The study focuses on the impact of the digital economy determinants of the education transformation. Objectives. The article provides our own approach treating the education capital as a specific asset of the digital economy, which has an acceleration effect and sets up new trends in education through integrative networks. Methods. The study is based on principles of the systems integration, cross-disciplinary and multidisciplinary approaches. Results. The socio-economic progress was found to be determined with properties of human capital, which are solely specific to the digital economy. In new circumstances, it gets more important for actors of global, national, corporate and social networks to more actively cooperate within distributed networks in order to train high professionals, who would have skills in information networks. Thus, they would raise a new form of human capital – the capital of network education (network-based education capital). We describe positive externalities that arise when the educational sector joins communication processes. We illustrate how educational forms evolves, which are typical of a certain phase of the socio-economic development. The education capital was discovered to grow into a specific asset generating the quasi-rent and working as a social ladder only provided more actors are involved into the network. Conclusions and Relevance. Studying the evolution of educational forms through the cross-disciplinary method, we discovered the need for a system approach, which would help substantiate its transformation in the time of the digital economy, and the emergence of network-based education. These are technologies and tools of the digital economy that become unique factors generating the acceleration effect of the educational capital and ensuring the use of diverse network effects for the formation of intellectual capital and their social transformation.


Author(s):  
Aref Emamian

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States


2020 ◽  
Vol 2 (5) ◽  
pp. 115-119
Author(s):  
M. V. SAVINA ◽  
◽  
A. A. STEPANOV ◽  
I.A. STEPANOV ◽  
◽  
...  

The article highlights the problems of the impact of "digitalization" of society on the formation and transformation of human capital, and above all, the development of new competencies, knowledge and skills. The main components of human capital in the modern era, the features of the formal and informal educational process are clarified and disclosed. The necessity of minimizing the precariat class is proved. The main directions of qualitative improvement of human capital adequate to the challenges of the digital age and globalization are defined.


2021 ◽  
Vol 46 (1) ◽  
pp. 24-37
Author(s):  
Arjun K. ◽  
Sanjay Kumar ◽  
A. Sankaran ◽  
Mousumi Das

The present study investigates the impact of human capital, knowledge capital which is a function of human capital, and real exchange rate scenario in explaining long-run industrial total factor productivity (TFP) from 1980 to 2015 on the theoretical basis of the open endogenous growth model. The variables employed in the contemporary study include manufacturing value added (MNVA) as industrial output measure, gross fixed capital formation (GFCF) as a measure of capital and labour input which is measured using employment data. Gross enrolment ratio (GER) is taken as a measure for human capital formation, expenditure on research and development (R&D) as a proxy for knowledge capital, and real exchange rate indicates global economic shocks. The study involves estimating TFP for Industrial Sector during the post-liberalization period by employing Cobb-Douglas production function. The ARDL bounds test technique for cointegration revealed long-run relation among the varying factors studied. The Toda-Yamamoto causality test concluded bi-directional causality running between, R&D expenditure and Industrial TFP which sends a strong signal to the policymakers for a well-framed long-term integrated approach for human & knowledge capital formation which will act as a strong impetus for manufacturing firms to come up in terms of augmenting production and productivity and expanding foreign market horizon. JEL Classification: D24, E2, J24


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