scholarly journals AN EMPIRICAL STUDY ON THE DETERMINANTS OF RESIDENT SAVINGS BALANCE IN CHINA

2021 ◽  
Author(s):  
JIA-HUAN ZHU
Keyword(s):  
Regression Analysis ◽  
Empirical Study ◽  
Regression Model ◽  
The Other ◽  
Dependency Ratio ◽  
Strongly Correlated ◽  
Extensive Reading ◽  
Savings Behavior ◽  
Factors Affecting ◽  
The Government

This is an empirical paper that explores the factors affecting the change in the savings balances in China. After extensive reading of existing studies, we will use the WLS regression model to conduct a regression analysis of several classical factors affecting the change in the savings balances and the new factors proposed in this paper, based on the reality of Eastern-Western differences in China. We provide evidence that six variables out of the eight factors we study are strongly correlated with the change in the savings balances. Further, we find that except for the Child dependency ratio, the other five variables are positively correlated with the change in savings balances. The purpose of this paper is to encourage the market to adjust development strategies, the government to adopt more targeted policies, and the society to give strong help to better guide residents' savings behavior by analyzing the factors that affect the change in savings balances at a macro level.

FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT APARATUR SIPIL NEGARA (ASN) UNTUK MELAKUKAN TINDAKAN WHISTLE-BLOWING PADA PEMDA PROPINSI PAPUA

2018 ◽  
Vol 1 (1) ◽  
pp. 42-57
Author(s):  
Rodika Wakerkwa ◽  
Syaikhul Fallah ◽  
Otniel Safkaur
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Local Governments ◽  
Civil Servants ◽  
Whistle Blowing ◽  
Factors Affecting ◽  
Analysis Techniques ◽  
Personal Cost ◽  
Negative Effect ◽  
The Government

This study examines factors affecting the interest of state civil servants to undertake whistle-blowing action on local governments of Papua Province. The population in this study is the State Civil Servants (ASN) on local governments of Papua Province, with 120 number of people as sample in this research. Multiple regression analysis techniques is used to analysis, discuss and testing the hypothesis from the data collection. This research find that variabel of organization commitment has a significant and negative effect on the interest of state civil servants to undertake Whistle Blowing action. Thus it can be explained that, in high and low commitment of organzation environment which dominated by employees at SKPDs in government of Jayapura city that have lowered interest to undertake Whistle Blowing action. Then, varibale of Attitude has a significant effect on the Interest of Whistle Blowing action, which the attitude of the existing employees will increase the interest to Blow the Whistle at the SKPDs’ employees in the government of Jayapura city. Similarly, Personal Cost variabel has a significant affect on the interest of state civil servants to attempt a Whistle Blowing action, it can be seen that when there is a sufficient personal cost in the employees of SKPD in the government of Jayapura city, it will increase the interest in Blowing the Whistle. While, the degree of seriousness also has a significant influence on the employees to attempt a Whistle Blowing interest. This means that the increasing interest in Blowing Whistle among employees are required to enhance the degree of seriousness in conducting Interest of Blowing a Whistle at SKPD in the government of Jayapura city.

Demographic changes and savings behavior: the experience of a developing country

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ebrahim Rezaei
Keyword(s):  
Time Series ◽  
Demographic Data ◽  
Calculated Data ◽  
The Other ◽  
Demographic Changes ◽  
Savings Behavior ◽  
Content Type ◽  
Household Level ◽  
Savings Rate ◽  
The Government

PurposeThis paper aims to disclose the savings behavior of Iran's economy in the context of demographic transition.Design/methodology/approachEmploying a version of Ramsey-Cass-Koopmans growth model, this paper benefits from a broad range of data and variables which are mainly taken from the Central Bank of Iran's database. The study uses actual and calculated data to produce analogous simulated data. The data cover the 1970–2015 period. This long period provides an opportunity to simulate more valid time series. It is worth noting that due to the severe economic sanctions imposed on the Iran's economy, particularly after 2017, some most recent data have been obliterated from the sample.FindingsThe results, stemming from the simulated model, hint that; firstly, the population variable is a notable determinant of the savings rate. Secondly, the effects of a slump in the population growth rate would attenuate the savings level significantly. Thirdly, other pragmatic steps could be taken to redress the fallout of the demographic changes.Research limitations/implicationsThere are some limitations in providing broad data related to economic sectors in Iran. The savings data, for instance, are available as an aggregated time series, and if the authors had wide data of household level, they would have been able to build more detail-based model. Similar to this issue of lack of households’ income-based data, some measures such as high or low levels as well as detailed demographic data could be helpful in sophisticated household level resulting. In addition, the complex relationship between the government and social security (pension) funds, in terms of financing part of government's budget deficit by these funds, thwarts a typical researcher in using comprehensive and transparent government expenditure data in their research. In other words, the possible positive or negative role of the funds, as a related issue to the demographic changes, cannot simply be determined in the model. It might be possible after necessary corrections are carried out in the mentioned relations.Originality/valueIn fact, the problem statement in this paper is to discern how the population aging can impact the saving rates on the one hand, and to what extent its repercussion can be modified by the other theoretical-based determinants on the other. In fact, the underlying argument of the present research arises from the stylized facts concerning prognosticates of the future evolutions of the world's population. To that end, the study will use Iran's economic and demographic data.

scholarly journals Savings Behavior of Government Salaried People in Unakoti District of Tripura

2021 ◽  
Vol 9 (1) ◽  
pp. 26-37
Author(s):  
Sukharanjan Debnath
Keyword(s):  
Rural Areas ◽  
Financial Literacy ◽  
Secondary Data ◽  
Primary Data ◽  
Dependency Ratio ◽  
Government Employees ◽  
Savings Behavior ◽  
Daily Rate ◽  
Savings Rate ◽  
The Government

As per rules, the Savings practice of Government salaried people is mandatory up to a stipulated amount of monthly salary. According to GPF, EPF and NPS Rules, a predetermined amount is deducted by the employer at source for the future wellbeing of the concerned employee and invest to GPF, EPF, NPS, etc. In addition to these mandatory savings, employees can save their money to other savings instruments according to their capability and other conditions. As most of the government employees in Unakoti district of Tripura are working with small designations and salaries, they are not able to save more in addition to mandatory savings. Fixed Pay Employee (FPE), Contract Base Worker (CBW), Per Time Worker (PTW), Monthly Pay Worker (MPW), Daily Rate Worker (DRW) are the working conditions where employees get less amount of salary in comparison to regular employees. Under these conditions, their savings rate is also low in comparison to other employees. Other Sources of income, spouse job, dependency ratio, age, literacy level, educational qualification and availability of savings instruments nearby employees are an important aspect for better understanding of savings improvement in the District. The present study entitled “Savings behavior of Government Salaried People in Unakoti District of Tripura” is an empirical study based on primary data and secondary data. The study reveals that the savings rate of salaried people in Unakoti District of Tripura is growing slowly. Financial literacy, reduction of dependency ratio by employment generation programs, Massive awareness program and availability of savings instruments in the rural areas may make a vigorous savings environment in Unakoti District of Tripura.

scholarly journals Commercial Banks’ Attributes and Annual Voluntary Disclosure: The case of Libya

2016 ◽  
Vol 5 (2) ◽  
pp. 208 ◽  
Author(s):  
Abdallah Al-mahdy Hawashe
Keyword(s):  
Regression Analysis ◽  
Empirical Study ◽  
Regression Model ◽  
Commercial Bank ◽  
Commercial Banks ◽  
Voluntary Disclosure ◽  
Ordinary Least Squares ◽  
Annual Reports ◽  
Government Ownership ◽  
Insight Into

AbstractThis study aims to investigateempirically whether there is any significant association between seven commercial bank-specific attributes (i.e. age of bank, size of bank, bank liquidity position, profitability, government ownership, foreign ownership, and listing status) and the extent of voluntary disclosure in the annual reports. Ordinary Least Squares (OLS) regression model is used to test the association between bank attributes and voluntary disclosure. The results of regression analysis indicate that banks size and listing status are significantly associated with the level of voluntary information disclosures. The findings also revealed the extent of voluntary disclosure in annual reports is notsignificantly influenced by other bank’s attributes.The current empirical study contributes to that investigation in the context of banking companies andprovides new insight into determinants of voluntary disclosure in the annual reports of listed and unlisted commercial banks.Keywords: Commercial Bank Attributes; Voluntary Disclosure;Annual reports; Libya

scholarly journals An Interaction Model for Resource Implement Complexity Based on Risk and Number of Annual Moves

2008 ◽  
Vol 73 (4) ◽  
pp. 599-625 ◽  
Author(s):  
Dwight Read
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Interaction Model ◽  
Growing Season ◽  
Food Resources ◽  
Factors Affecting ◽  
Model Based ◽  
Proxy Measure

Different hypotheses identifying factors affecting the complexity of implements used to obtain food resources by hunter-gatherer groups are assessed with regression analysis. A regression model based on interaction between growing season as a proxy measure for risk and number of yearly moves fits data on the complexity of implements for 20 hunter-gatherer groups. The interaction model leads to a division of hunter-gatherer groups into two subgroups that correspond to collector vs. forager strategies for procuring resources. Implications of the interaction model for the evolution of complex implements are discussed.

Regression and correlation analyses.

2021 ◽  
pp. 119-146
Author(s):  
Donald Quicke ◽  
Buntika A. Butcher ◽  
Rachel Kruft Welton
Keyword(s):  
Regression Analysis ◽  
Explanatory Variable ◽  
Continuous Variable ◽  
The Other ◽  
Strongly Correlated ◽  
Regression Analyses ◽  
Response Variable ◽  
Explanatory Variables ◽  
Correlation Analyses ◽  
Initial Assumption

Abstract This chapter focuses on regression and correlation analyses. Correlation and regression analyses are used to test whether, and to what degree, variation in one continuous variable is related to variation in another continuous variable. In correlation analysis, there are no control over either variable, they are just data collected, and indeed, even if two variables are strongly correlated, they may not be influencing one another but simply both being affected by a third which perhaps was not measured. The initial assumption of the analysis is that the values of both variables are drawn from a normal distribution. In regression analysis one of the variables are being controlled seeing whether changing its value affects the other. The variable being controlled is the explanatory variable (sometimes called the treatment) and the other is the response variable. As the explanatory variables are being controlled, they are probably going to be set at specified values or set increments and are therefore not normally distributed. There may be more than one explanatory variable. If all the explanatory variables are categorical then the regression is called an ANOVA.

An Empirical Study on Board Characteristics and Sustainable Growth of Listed Company

2011 ◽  
Vol 403-408 ◽  
pp. 2526-2529
Author(s):  
Hai Ying Liu
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Empirical Study ◽  
Listed Company ◽  
Sustainable Growth ◽  
The Other ◽  
Independent Directors ◽  
Board Size ◽  
Board Characteristics ◽  
Board Directors

The paper is based on the SGR model by Robert C Higgins. Through regression analysis and panel data, we find that the diligent boards and the stock-keeping ratio of board directors are associated with higher sustainable growth, while board size can restrain sustainable growth to some extent,With respect to the other variables, results indicate that CEO-duality and percent of independent directors on the board do not significantly influent sustainable growth.

scholarly journals AN EMPIRICAL STUDY OF PRICE CLUSTERING ON THE NAIROBI SECURITIES EXCHANGE

2017 ◽  
Vol 2 (2) ◽  
pp. 23
Author(s):  
Lugongo Maurice Wafula ◽  
Dr. Sifunjo E Kisaka
Keyword(s):  
Empirical Study ◽  
Regression Model ◽  
Stock Price ◽  
Multivariate Regression ◽  
The Other ◽  
Multivariate Regression Model ◽  
Stock Volatility ◽  
Market Capitalization ◽  
Secondary Sources ◽  
Price Clustering

Purpose: The purpose of this study was to empirically investigate price clustering phenomenon on the Nairobi Securities Exchange for the period 2009 to 2013.Materials and methods: The study used secondary sources of data obtained from the Nairobi Securities exchange. The study revealed that there has been a preference by investors for stock whose prices end with the digit 5 and this accounted for 67.88 percent of all the stocks examined and was followed by stocks whose prices ended with the digit 0 which accounted for 4.55 percent. In order to establish the determinants of this observed behavior a multivariate regression model used by Harris (1991) was adopted where price clustering was regressed against stock volatility, number of trades, market capitalization, and own stock price.Results: The regression results indicated that the number of trades as well as Market Capitalization was positive and significantly related to price clustering. The study also found the stock price to be negative and significantly related to price clustering. On the other hand, Stock volatility was established to be an insignificant predictor of price clustering. The multivariate regression model was found to be significant in explaining the observed relationship and that 15.4 percent of the variance in price clustering was explained by number of trades, stock volatility, own stock price and the market capitalization. The study finds that there is a tendency of prices to cluster around certain numbers as evidenced by the 67.88 percent of numbers clustering around the number 5 and that price clustering is positively related to number of tradesRecommendations: It is thus recommended that if firms are to increase the number of trades of their shares they should consider pricing their shares according to the preferences of investors who prefer shares or stocks whose prices ends with 5 or 0.

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