scholarly journals An Analysis of Factors Affecting Decisions on Investment in HCMC Municipal Bonds

2014 ◽  
Vol 219 ◽  
pp. 93-108
Author(s):  
MINH DƯƠNG THỊ BÌNH ◽  
HẰNG VŨ THỊ MINH ◽  
Luật Diệp Gia ◽  
Linh Nguyễn Thị Mỹ ◽  
Tú Phùng Thị Cẩm ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Socioeconomic Development ◽  
Municipal Bonds ◽  
Policy Recommendations ◽  
Socioeconomic Conditions ◽  
Infrastructure Projects ◽  
Factors Affecting ◽  
Five Factors ◽  
Infrastructure Project

The paper analyzes factors affecting decisions on investment in HCMC municipal bonds for infrastructure projects. Results of EFA and regression analysis show that decisions on investment in HCMC municipal bonds depend on five factors with adjusted R2 equaling 72,1%: (1) government’s policies; (2) bonds and issuers; (3) infrastructure projects and socioeconomic conditions; (4) economicfactors; and (5) impacts of relevant markets. This serves as a basis for policy recommendations that aim at enhancing the mobilizing power of municipal bonds for infrastructure project in particular and socioeconomic development in HCMC in general.

scholarly journals FACTORS AFFECTING ACCESS TO FORMAL CREDIT BY SMALLHOLDER FARMERS IN AN GIANG PROVINCE

2015 ◽  
Vol 18 (1) ◽  
pp. 28-39
Author(s):  
Ngoc Nhan Nhu Nguyen ◽  
Chinh Duc Pham
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Smallholder Farmers ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Factors Affecting ◽  
Five Factors ◽  
Household Assets ◽  
Loan Guarantees

This study was conducted to determinefactors that affect the access to formal credit by smallholder farmers in An Giang province. Applying binary logistic regression analysis on a sample of 210 households, we found that the access to formal credit by these households are affected by five factors, namely total value of household assets, participation in organizations, demand for loans from credit institutions, loan guarantees and accumulated income, in which the demand for loans has the greatest impact. From the regression results, we built a model to forecast the access to formal credit by households with 93.8%. precise forecastprobability.

scholarly journals Analisis Faktor Penentu Kualiti Pengurusan Zakat: Kajian Terhadap Lembaga Zakat Selangor (Lzs) di Sepang

2018 ◽  
Vol 11 (1) ◽  
pp. 27-44
Author(s):  
Maryam Abd Rashid ◽  
Hairunnizam Wahid ◽  
Sanep Ahmad
Keyword(s):  
Factor Analysis ◽  
Logistic Regression ◽  
Quality Of Service ◽  
Regression Analysis ◽  
Service Quality ◽  
Logistic Regression Analysis ◽  
Factors Affecting ◽  
Five Factors ◽  
Significant Factors

Abstract Service quality is an important element in assessing the ability of institutions to meet its goals. The objective of this paper is to examine the factors that probably affect the quality of service for zakat institution, especially in Sepang using the SERVQUAL model which has five factors; reliability, react, assurance, empathy and tangible. A total of 103 respondents from Muslim entrepreneurs have participated in this study. This study uses several approaches, including exploratory factor analysis (EFA) and logistic regression analysis. Findings indicate that empathy and tangible are significant factors affecting the quality of service LZS in model studied. Several implications have been discussed in this study. Keywords : LZS’s service quality, Muslim entrepreneurs, SERVQUAL Abstrak Kualiti perkhidmatan adalah satu elemen penting dalam menilai keupayaan institusi untuk memenuhi matlamatnya. Objektif kertas ini adalah untuk melihat faktor yang dijangka mempengaruhi kualiti perkhidmatan institusi zakat khususnya di daerah Sepang dengan menggunakan model SERVQUAL yang mempunyai lima faktor iaitu kebolehpercayaan, bertindak balas, jaminan, empati dan kewujudan. Sejumlah 103 responden yang terdiri daripada usahawan muslim telah mengambil bahagian dalam kajian ini.  Kajian ini menggunakan beberapa ujian termasuklah analisis tinjauan faktor (EFA) dan analisis regresi logistik. Dapatan kajian menunjukkan faktor empati dan kewujudan adalah signifikan dan mempengaruhi kualiti perkhidmatan LZS dalam model yang dikaji. Beberapa implikasi kajian turut dibincangkan dalam kajian ini. Kata kunci : kualiti perkhidmatan LZS, usahawan muslim, SERVQUAL

scholarly journals FACTORS AFFECTING CONTRACTOR’S BIDDING SUCCESS FOR INTERNATIONAL INFRASTRUCTURE PROJECTS IN AUSTRALIA

2017 ◽  
Vol 23 (7) ◽  
pp. 880-889 ◽  
Author(s):  
Beltrán AZNAR ◽  
Eugenio PELLICER ◽  
Steven DAVIS ◽  
Pablo BALLESTEROS-PÉREZ
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Competitive Advantage ◽  
Logistic Regression Analysis ◽  
Resource Availability ◽  
Infrastructure Projects ◽  
Factors Affecting ◽  
Local Partner ◽  
Local Company ◽  
Specific Project

This paper examines the effects of different factors on the success or failure of bids for infrastructure projects in Australia. Logistic regression analysis was used to empirically determine which factors have the largest effect on bid­ding success. Data was collected from 123 bids submitted by several infrastructure companies with subsidiaries in Aus­tralia. The analysis found that having a competitive advantage and a local partner, and also not competing against a local company were the most important factors; as they significantly increase the chances of success. However, four other factors, having relevant expertise, resource availability, a previous relationship with the client, and a previous relation­ship with consortium members, are ‘essential’ to be able to compete; as the absence of any of these four factors results in bid failure, although having them is not a guarantee of success. Results of this paper provide valuable information for any company considering the opportunity of entering into Australia’s infrastructure market as well as for companies that are already present in that country and are considering whether to bid for a specific project.

scholarly journals Faktor - Faktor Yang Mempengaruhi Intensitas Turnover Auditor (Studi Empiris Di Kap Big Four)

2010 ◽  
Vol 10 (3) ◽  
pp. 33
Author(s):  
Andrea Ricardo Hutagalung
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Organizational Commitment ◽  
Research Method ◽  
Organizational Trust ◽  
Empirical Studies ◽  
Factors Affecting ◽  
Accounting Firm ◽  
Five Factors ◽  
Big Four

<p class="Style2"><em>Destination author conducted this research is to determine if the five factors affecting the intensity of turnover big four auditors at the accounting firm. The research method used by the author in the preparation of this paper is the method of multiple regression analysis and data collection techniques in the form of empirical studies or distributing questionnaires at four KAR Based on the analysis the authors, it can be concluded that job satisfaction, salary administration, organizational commitment, trust and professionalism of the organization does not negatively affect the intensity of turnover.</em></p><p class="Style1"><strong><em>Keywords : </em></strong><em>Job satisfaction, salary administration, organizational commitment, </em><em>organizational trust, professionalism, the intensity of turnover.</em></p>

Pricing Based on the Binary Tree Model under Public Infrastructure Projects

2013 ◽  
Vol 756-759 ◽  
pp. 2971-2974
Author(s):  
Dong Jun Fan
Keyword(s):  
Binary Tree ◽  
Real Option ◽  
Policy Recommendations ◽  
Infrastructure Projects ◽  
Public Infrastructure ◽  
Tree Model ◽  
The Real ◽  
Pricing Research ◽  
Infrastructure Project ◽  
The Government

[Purpos] In order to address the problem of pricing public infrastructure project based on the binary tree model. [Metho] By the real option binary tree model. [Conclusion This article makes a pricing research on public infrastructure projects to. At the same time, this article makes policy recommendations for the investment powers and the government respectively.

Factors affecting the success of community placement: the TAPS project 26

1996 ◽  
Vol 26 (3) ◽  
pp. 511-520 ◽  
Author(s):  
Christopher Gooch ◽  
Julian Leff
Keyword(s):  
Regression Analysis ◽  
Proportional Hazards ◽  
Post Discharge ◽  
Factors Affecting ◽  
Proportional Hazards Regression ◽  
Five Factors ◽  
Ordinal Logistic Regression Analysis ◽  
Baseline Factors ◽  
Behaviour Score

SynopsisLong-stay patients who were discharged from Friern and Claybury hospitals during the 6-year period between September 1985 and August 1991 were followed up for at least 1 year and the details of all readmissions were recorded. Of the 615 hospital leavers, some 178 (29%) were readmitted at some time during the follow-up period. A proportional hazards regression analysis revealed a number of independent baseline factors which affect the risk of readmission at any time during the follow-up period. Younger patients were more at risk of readmission than were older patients and ‘new’ long-stay patients had a greater risk than baseline patients. Risk was also greater in patients who had a larger number of pre-discharge admissions,a higher abnormal behaviour score (PSE BSO) or a diagnosis of manic psychosis. An ordinal logistic regression analysis revealed that these same five factors tended to increase the actual number of readmission episodes. The proportion of post-discharge time spent in hospital among the readmitted patients was found to be greater for males, new long-stay patients and for patients with a higher number of positive social behaviour symptoms (SBSPOS score).

scholarly journals MUNICIPAL INFRASTRUCTURE PROJECT IN THE DEVELOPMENT OF INFRASTRUCTURE IN KAZAKHSTAN

2021 ◽  
Vol 80 (1) ◽  
pp. 108-112
Author(s):  
I.Y. Khan ◽  
◽  
A.B. Abylkasym ◽  
A.J. Kurmantayeva ◽  
A.R. Shalbayeva ◽  
...  
Keyword(s):  
Research Result ◽  
Spatial Development ◽  
Financial Policy ◽  
Municipal Bonds ◽  
Infrastructure Projects ◽  
State Management ◽  
Infrastructure Project ◽  
Investment Process ◽  
Debt Policy ◽  
Municipal Level

The study focuses on the financing of infrastructure projects using municipal bonds. Originality of the research. The article considers a set of measures designed to activate the process of attracting investment in infrastructure at the municipal level using bonds. The parameters of securities issues of concessionaires were studied, and the experience of managing municipalities with securities as an element of debt policy was analyzed. Research result. The results of the research can be useful both in developing the financial policy of the state management of spatial development at the national and regional levels, and in conducting further research on the activation of the investment process in Kazakhstan at the municipal level.

Studying the factors of regional insurance market development using the correlation and regression analysis

2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva
Keyword(s):  
Regression Analysis ◽  
Federal District ◽  
Insurance Market ◽  
Market Development ◽  
Insurance Markets ◽  
Regression Equations ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Inverse Effect

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

Regression analysis of indicators of a numerical experiment to determine the cooling time of oil

2020 ◽  
pp. 89-97
Author(s):  
A. U. Yakupov ◽  
D. A. Cherentsov ◽  
K. S. Voronin ◽  
Yu. D. Zemenkov
Keyword(s):  
Regression Analysis ◽  
Computer Experiment ◽  
Calculation Model ◽  
Cooling Time ◽  
Regression Coefficients ◽  
Fisher Criterion ◽  
Empirical Relationships ◽  
Factors Affecting ◽  
Oil Pipeline ◽  
Significant Regression

The article performed the processing of the results of a computer experiment to determine the cooling time of oil in a stopped oil pipeline. We proposed a calculation model in previous works that allows you to simulate the process of cooling oil.There was a need to verify the previously obtained results when conducting a laboratory experiment on a stand with soil. To conduct the experiment, it was necessary to conduct the planning of the experiment. The factors affecting the cooling time of oil in the oil pipeline, which will vary in the proposed experiment, are determined, empirical relationships are established. A regression analysis was carried out, and the dispersion homogeneity was checked using the Cochren criterion. The estimates of reproducibility variances are calculated. The adequacy hypothesis was tested using the Fisher criterion. Significant regression coefficients are established.

scholarly journals The Level of Conus Medullaris in 629 Healthy Japanese Individuals

2021 ◽  
Vol 10 (14) ◽  
pp. 3182
Author(s):  
Hiroaki Nakashima ◽  
Keigo Ito ◽  
Yoshito Katayama ◽  
Mikito Tsushima ◽  
Kei Ando ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Magnetic Resonance ◽  
Pelvic Tilt ◽  
Pelvic Incidence ◽  
Multivariate Regression Analysis ◽  
Conus Medullaris ◽  
Magnetic Resonance Images ◽  
Factors Affecting ◽  
Adult Volunteers ◽  
Significant Factors

The conus medullaris typically terminates at the L1 level; however, variations in its level and the factors associated with the conus medullaris level are unclear. We investigated the level of conus medullaris on magnetic resonance imaging in healthy volunteers. In total, 629 healthy adult volunteers (≥50 individuals of each sex and in each decade of age from 20 to 70) were enrolled. The level of the conus medullaris was assessed based on the T2-weighted sagittal magnetic resonance images, and factors affecting its level were investigated employing multivariate regression analysis including the participants’ background and radiographical parameters. L1 was the most common conus medullaris level. Participant height was significantly shorter in the caudally placed conus medullaris (p = 0.013). With respect to the radiographical parameters, pelvic incidence (p = 0.003), and pelvic tilt (p = 0.03) were significantly smaller in participants with a caudally placed conus medullaris. Multiple regression analysis showed that the pelvic incidence (p < 0.0001) and height (p < 0.0001) were significant factors affecting the conus medullaris level. These results indicated that the length of the spinal cord varies little among individuals and that skeletal differences affect the level of the conus medullaris.

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