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Determinants of firm exit in vietnam

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VIETNAM – THE NETHERLANDS PROGRAMME FOR M.A IN DEVELOPMENT ECONOMICS DETERMINANTS OF FIRM EXIT IN VIETNAM BY TRAN THI LAM MASTER OF ARTS IN DEVELOPMENT ECONOMICS HO CHI MINH CITY, MAY 2017 Non-VIB VIETNAM – THE NETHERLANDS PROGRAMME FOR M.A IN DEVELOPMENT ECONOMICS DETERMINANTS OF FIRM EXIT IN VIETNAM A thesis submitted in partial fulfilment of requirements for the degree of MASTER OF ARTS IN DEVELOPMENT ECONOMICS By TRAN THI LAM Academic Supervisor: DR TRUONG DANG THUY HO CHI MINH CITY, MAY 2017 Non-VIB TABLE OF CONTENTS ACKNOWLEDGEMENT ABSTRACT .2 LIST OF FIGURE AND TABLES CHAPTER 1: INTRODUCTION .4 1.1 Problem Statement 1.2 Research objectives 1.3 Research questions 1.4 Scope of research CHAPTER 2: LITERATURE REVIEW 2.1 Literature Review .8 2.1.1 Firm exit behavior 2.1.2 Determinants of the decision to exit 2.2 Review of empirical studies on firm survival/exit 17 2.2.1 Approaches of analyzing firm exit and survival .17 2.2.2 Emprical analyses of firm survival 18 2.2.3 Emprical analyses of firm Exit 20 CHAPTER 3: RESEARCH METHODOLOGY .23 3.1 Conceptual framework and the econometric model .23 3.1.1 Conceptual framework 23 3.1.2 Theoretical reviews 24 3.1.3 The econometric model 25 3.2 Data and variables 27 CHAPTER 4: RESEARCH RESULT 29 4.1 Descriptive Statistic 31 4.2 Regression results 34 4.2.1 Bivariate analysis 34 4.2.2 Multivariate analysis .36 4.2.3 Multicollinearty analysis 37 4.2.4 Results of random-effect logistic regressions……………………………………… …38 4.2.5 Marginal effects .41 Non-VIB CHAPTER 5: CONCLUSION…………………………………………………………………… 43 5.1 Conclusion 43 5.2 Policy Implications 44 5.3 Thesis limitations and suggestion for further researches 44 REPERENCE 46 APPENDICES 56 Non-VIB ACKNOWLEDGEMENT Firstly, I would like to express my sincere gratitude to my advisor Dr TRUONG DANG THUY for his enthusiastic assistance He has not only several insightful comments based on his immense knowledge helps me to solve all my problems, but also encourages me to finish my thesis I would like to express my thanks to my friends in MDE class 19, and 20, especially Duy Chinh (class 19), Do Luat (class 20), Duy Lap (class 20), Nguyen Thai Duong (class 20) and one special friend who have given their limited time to help me solved the difficulties in the process I also would like to send love to my family and my close friends for always being beside me, spiritually encouraging me and letting me know that I am not alone in all difficult situations Finally, my special thanks also to my husband and my baby who help me to have a strong motivation to finish my thesis Non-VIB 1|Page ABSTRACT This paper examines the determinants of firm exit in Vietnam using SME data from 2005 to 2011 Using panel data from 10 provinces and cities in Vietnam and applying the logistic regression method, this study finds that total asset and leverage have positive impacts on firm exit while the size, age, investment and total gross profit negatively affect firm exit Keywords: Small and medium enterprise, total asset, firm exit, firm size, firm age, debt leverage, investment, total gross profit, random effects logistic regression Non-VIB 2|Page LIST OF FIGURE AND TABLES Figure 1.1: Number of registered enterprises and stop business over period 2007-2015 Figure 3.1: Conceptual framework Table 3.1: List of surveyed province/city Table 3.2: Descriptive variables Table 4.1: Descriptive Statistic Table 4.2: The number of survey exit firms in each city/province Table 4.3: Overview of firm exit in Viet Nam Table 4.4: Firm exit in province/city Table 4.5 A comparison between Firm non-exit and Firm exit in term of variables Table 4.6: Covariance matrix Table 4.7: VIF index Table 4.8 Results of three Random – effect logistic regressions Table 4.9 Marginal effect results Non-VIB 3|Page CHAPTER 1: INTRODUCTION 1.1 Problem Statement The stable development and growth of firms are key factors what influence directly the socioeconomic development On the other hand, firm’s activities affect almost all respects of economy and society such as rate of unemployment, national budget, activity of trade, and other macroeconomic indicators The role of small and medium enterprises (SMEs) in economic growth has been recognized through many studies in the world recently An article by Joshua and Quartey (2010) describes that SMEs play important roles to an economic development as creating efficient and productive jobs, the seeds of large corporations and the fuel maintaining the national machine In advanced economies, the number of firms in the SME sector, which has substantial labors, is larger than the multinational one (Mullineux, 1997) In addition, Feeney and Riding (1997) reveal that governments in most countries have conducted several policies to encourage the development of SMEs Whereas, the growth of SMEs promotes the process of redistribution of both inter and intraregional division of the firm and they also become a countervailing force again the influence of large-scale corporations There is approximately 91% of the enterprises is Small, Medium and Micro Enterprises (SMMEs) in South Africa (Hassbroeck 1996, Berry et al 2002) They create about 61% jobs for labor source and also represent for 52%- 57% of GDP (CSS 1998, Ntsika 1999, Gumede 2000, Berry et al 2002) In additional, Small and medium enterprises also account over 90% of the private business sector and play a crucial role in contributing GDP in most African countries (UNIDO 1999) Viet Nam has changed from a centralized planned economy to a socialist-oriented market economy after “Đổi Mới” reform period since mid-1980 Undergoing a period of formation and development, the Vietnam economy continues to grow and get many substantial achievements A private ownership sector contributes a vital role for Vietnam economic growth According to Vietnam General Statistics Office, Vietnam attains around 7% GDP growth over the period 2000 to 2005 and continues to grow at 7.01 percent from 2005 to 2010 The process of developing keeps in stable until now, especially SMEs sector Small and medium enterprises (SMEs) have an essential role to play in motivating growth, generating jobs and contributing to poverty reduction The Non-VIB 4|Page contribution of SMEs is a major tax resource for Vietnam budget annually Furthermore, according to the report of the Vietnam Chamber of Commerce and Industry (VCCI), we have 543,963 enterprises in 2011, about nearly 513,000 enterprises in 2015, but there is nearly 97 percent of small and medium firm, mainly private businesses The important role of SME is increasing thanks to not only contributing significantly to the Gross domestic product (GDP), reducing poverty, enhancing security society, but also creating more than one million new jobs per year According to Ministry of Science and Technology, there are 692 thousand enterprises registered business in the period 2007 – 2015 However, there are too many enterprises not enough power to survive in globalized market and international integration and move out of market every year According to General Statistics Office of Vietnam, more and more firms exit and stop activity in annual reports (2015: 80,900 firms; 2014: 67,800 firms; 2013: 70,500 firms and 2012: 63,500 firms) Figure 1.1 shows that the number of firms that ceased operations is increasing in the recent years 100.000,00 90.000,00 80.000,00 70.000,00 60.000,00 50.000,00 40.000,00 30.000,00 20.000,00 10.000,00 - Figure 1.1: Number of registered enterprises and stop business over period 2007-2015 (Source: Administrative Department of Business Registration - Ministry of Science and Technology) Therefore, this is a crucial problem requires a reaction from government official and policy makers to decrease the number of firm stopping business every year Non-VIB 5|Page Bernard, Andrew, and J Bradford Jensen 2002 “The Deaths of Manufacturing Plants.” National Bureau of Economic Research Working Paper no 9026, NBER, Cambridge, MA 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Exit and financing in the trucking industry,’ Journal of Finance 53, 905–38 Non-VIB 55 | P a g e APPENDICES Appendix 1: VIF test Appendix 2: Logistic regression with Random effects Random-effects logistic regression Group variable: id Random effects u_i ~ Gaussian avg = max = Integration method: mvaghermite Wald chi2(6) Log likelihood Likelihood-ratio test of rho=0: chibar2(01) = Non-VIB 56 | P a g e Appendix 3: The marginal effects for Model Average marginal effects Model VCE Expression dy/dx w.r.t asset size old tgp i lvr Appendix 4: Logistic regression with Random effects of sub-provinces Random-effects logistic regression Group variable: id Random effects u_i ~ Gaussian avg = max = Integration method: mvaghermite Wald chi2(15) Log likelihood prv Likelihood-ratio Non-VIB 57 | P a g e Appendix 5: The marginal effects for Model Average marginal effects Model VCE Expression dy/dx w.r.t asset size old tgp i lvr Appendix 6: Logistic regression with Random effects of sub-provinces and time Random-effects logistic Group variable: id Random avg = max = effects Integration u_i method: ~ regression Gaussian mvaghermite Wald chi2(18) Log likelihood prv year 2007 2009 2011 Likelihood-ratio Non-VIB 58 | P a g e Appendix 7: The marginal effects for Model Average marginal effects Model VCE Expression dy/dx w.r.t asset size old tgp i lvr Appendix 8: SCATTER THE PREDICTED PROBABILITY OF EXIT ON CONTINUOUS VARIABLES Label variable exit "Predicted probability of exit" Asset Size Non-VIB 59 | P a g e .5 0 AGE TGP Non-VIB 60 | P a g e .5 0 INVESTMENT Non-VIB 61 | P a g e .1 Lvr Non-VIB 62 | P a g e .. .VIETNAM – THE NETHERLANDS PROGRAMME FOR M.A IN DEVELOPMENT ECONOMICS DETERMINANTS OF FIRM EXIT IN VIETNAM A thesis submitted in partial fulfilment of requirements for the degree of MASTER OF. .. 2.1.1 Firm exit behavior 2.1.2 Determinants of the decision to exit 2.2 Review of empirical studies on firm survival /exit 17 2.2.1 Approaches of analyzing firm exit. .. fixed assets in the service of production and business Differences in the use of financial leverage of businesses replace the difference in the level of risk between firms in the same industry Non-VIB

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