UNIVERSITY OF ECONOMICS HO CHI MINH CITY International School of Business ---------------------------- PHAN THI TRAN NGA THE IMPACT OF BORROWERS’ ATTRIBUTES ON THE POSSIBILITY OF SMEs LOAN APPROVAL IN HCMC, VN MASTER’S THESIS SUPERVISOR: Dr. CAO HAO THI Ho Chi Minh City, 2013 i ACKNOWLEDGEMENTS Firstly, I would like to express my gratitude to Dr. Cao Hao Thi, my supervisor who has given a zealous support and advices during doing research period. Especially, I am grateful for his enthusiasm in answering, reminding as well as his feedback, guidance and correction for me able to accomplish this thesis.
Secondly, I would like to thank Dr. Dinh Thai Hoang who taught data analysis, helped me analysis methodology and data process of this thesis as well. Thirdly, I would also like to thank all of my lecturers at International School of Business (ISB) – University of Economics Ho Chi Minh City (UEH) – for exchanging & sharing their knowledge and experience during my master course. Enthusiastic assistance provided by the ISB’s executive board and staffs was also greatly appreciated.
Next, I would like to say thank you for creditors, who helped me to conduct survey, gave suggestions and shared their experience in profession to do this research better. Last, I would also want to thank my friends and classmates who share their knowledge support, and work with me during time I do this study. ii ABSTRACT Small and medium sized Enterprises (SMEs) play an important role in transitional economies and have high relevance for their economic policy of many countries. In Vietnam, SMEs account for 77 percent and 87 percent by regular workforce and registered capital criteria in 2011 (Cuong, Sang & Anh, 2008) and produce over 40% of GDP.
Yet, the SMEs have some difficulties in lacking of finance supply from financial institutes or banks. So this research will identify the factors effecting to the loan decision-making. From those factors, researcher will find down the key one that impacts strongest on the possibility of loan approval. Before a bank decides to invest into companies in a form of loan, they will put into consideration a lot of aspects.
In this decision making process, bank officers will take into account a lot of different kind of borrower’s attributes related to background and experience, the business and conditions surrounding it. This research is done by thorough literature review on concepts relating to six borrower’s attributes. The analyzing result found there are only three among six borrower’s attributes which have positively related to possibility of SMEs loan approval. The research model explained 47.3% the variance of the borrower’s attributes on the possibility of SMEs loan approval.
Key words: SMEs, loan approval, relationships with the bank, value of collateral, firm size, related business experience, share of investment, business plan iii TABLE CONTENT ACKNOWLEDGEMENTS. v LIST OF TABLES. vi LIST OF FIGURES. vii CHAPTER 1 INTRODUCTION.
6 CHAPTER 2 LITERATURE REVIEW. Relationship with the bank. Value of collateral. Related business experience.
Share of investment. Lender’s human capital. Hypotheses of this study. 20 CHAPTER 3 RESEARCH METHODOLOGY.
Methods of data collection. Methods of data analysis. Testing the reliability. Exploratory Factor Analysis (EFA).
Multiple regression analyses. 29 CHAPTER 4 DATA ANALYSIS. Result of Pilot survey. Testing the reliability of Relationship with bank and business plan.
Exploratory factor analysis (EFA). Result of official survey. Descriptive statistics analysis. Refinement of measurement scale.
Managerial implications and recommendation. Suggestions for further research. XI APPENDIX A INTERVIEW QUESTIONS. XVII APPENDIX B QUESTIONNAIRE.
XIX APPENDIX C DISCUSSION FOR EXPLAINATION. XXVIII APPENDIX D REGRESSION RESULT. XXIX v ABBREVIATION SMEs: Small and medium enterprises SPSS: Statistical Package Software for Social Science EFA: Exploratory factor analysis vi LIST OF TABLES Table 3.1a Measurement scale for independent and dependent factors .1b Measurement scale for control variables.1 Reliability of Relationship with the bank (REL) .2 Reliability of Business Plan (PLA) .3 KMO and Bartlett's Test .4 Total Variance Explained .5 Rotated Component Matrixa .7 Reliability of relationship with the bank (REL) .8 Reliability of business plan (PLA).9 KMO and Barlett’s Test .10 Total Variance Explained .