A study on the relationship between rural-urban income gap and human capital investment disparity in China: A case study on Yunnan province

Author(s):  
Zhang Jianmin ◽  
Duan Xiaoqing ◽  
Lin Li ◽  
Ma Yuhan
2008 ◽  
Vol 36 (8) ◽  
pp. 1011-1022 ◽  
Author(s):  
I-Ming Wang ◽  
Chich-Jen Shieh ◽  
Fu-Jin Wang

Based on 150 valid questionnaires, an investigation was undertaken through correlation analysis and multiple regression analysis to examine the following: the correlation between human capital investment and organizational performance, between organizational culture and human capital investment, between organizational culture and organizational performance, and finally the effect of organizational culture on the correlation between human capital investment and organizational performance. The relationship between staff training and development and internal trust relations positively correlated with organizational value. That same relationship was enhanced by organizational identification. On the other hand, the correlation between the 3 dimensions of organizational performance and the other 2 dimensions of human capital investment (staff recruitment; staff inspiration) was not influenced by the presence of either organizational identification or organizational value.


2011 ◽  
Vol 347-353 ◽  
pp. 2745-2748
Author(s):  
Yuan Zhang

In recent years, it is very important for China to maintain the strong and sustainable economic growth, and we believe enhancing human capital investment is the key. According to the statistics, China's current human capital investment has fallen into the low-level trap, which means that the economic growth heavily depends on labor-intensive and resource-driven investment, and the relationship between human and physical capital investment becomes imbalanced. In addition, the coexistence of human capital shortage and employment pressure, the mismatch between human capital investment structure and talent demand, and insufficient human capital investment caused by unfair income distribution are becoming more and more serious. We advise a re-examination of our human capital investment strategy as the main policy to solve the problems.


2021 ◽  
Vol 235 ◽  
pp. 01028
Author(s):  
Mingfei Ding ◽  
Jinsong Pei

With the development of China’s economic level and transportation, China’s population migration scale is constantly enhanced, population migration investment way of human capital investment, has a greater impact on the income level of residents. This paper analyzes the mechanism of population migration’s influence on the income gap and research achievements of predecessors, then on the basis of the eight regional division, has analyzed china area ask migration scale and the present situation of the income gap, and finally by constructing panel data model, the empirical test population migration’s influence on regional smell of resident’s income gap. Finally, it is found that investment in population migration has a long-term positive effect on the income gap.


2020 ◽  
Vol 8 (1) ◽  
pp. 837-843
Author(s):  
Hasan Mukhibad ◽  
Indah Anisykurlillah ◽  
Prabowo Yudo Jayanto

Purpose of the study: This research aims to identify the influence of good corporate governance (GCG) mechanisms and human capital investment (HCI) on non-performing financing (NPF) and profitability. In addition, we examine the relationship between NPF and profitability. Methodology: The research samples are commercial Islamic banks in Indonesia (13 banks) that were determined by using a purposive sampling method. The data are collected from the banks’ financial statements and GCG reports, from 2012 to 2016. Structural Equation Modeling (SEM) was employed to analyze the data. Main Findings: Our study shows that the number of directors a bank has significantly affected NPF but does not affect profitability, while the size of the independent Board of Commissioners (BoC) has a significant influence on NPF and profitability. Sharia Supervisory Board also has a role in improving profitability. HCI has a significant effect on profitability, but it does not affect NPF. Applications of this study: Islamic banks are urged to improve their implementation of GCG, especially for their ratio of independent commissioners and HCI expenditure. Independent commissioners and HCI are able to reduce the level of NPF and improve performance. HCI expenditure should be viewed as an investment by the bank, and not as a cost. Investment in HCI is proven to improve profitability. Novelty/Originality of this study: The use by researchers of the HCI variable to influence NPC is still limited. The reason is that the main source of a bank’s income is from financing (loans), so the highest risk for the bank is NPF. To reduce NPF, the bank’s employees must have the ability to manage risk.


2021 ◽  
Vol 27 (spe) ◽  
pp. 105-107
Author(s):  
Shuihui Jiang

ABSTRACT As an important part of human capital, healthy human capital plays a great role in promoting economic development. Based on the overlapping generations (OLG) model, this study establishes a correlation analysis model between healthy human capital and economic growth. This model takes utility maximization as the theoretical carrier to study how individuals promote economic growth while pursuing the maximization of their own health capital accumulation. The model can analyze the promotion mechanism of healthy human capital on economic growth, so as to provide decision support for relevant personnel. Taking the panel data of 11 provinces and cities in China as samples, this paper makes an empirical analysis of the model. The results show that healthy human capital investment in coastal areas is generally high, and the relationship between healthy human capital and economic growth conforms to the inverted U-shaped development model, so we should pay attention to the reasonable proportion of healthy human capital investment. In addition, from the fitting effect of the regression model, the F-statistic values of model 1 and model 2 are 672.6327 and 1240.188, which shows that the fitting accuracy of the two regression models is higher.


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