ANSWER Tittle: Impact of Bank Loan on Small and Medium Enterprises (SMEs) Development. The Case of NMB Bank in Zanzibar I. Research Problem Small and medium enterprises are mostly managed by owners and relations. The financing in most cases in normally provided by the owners. The owners fail to access to finance due to strictly conditions on banker’s loan, higher interest rate by the micro and financial institutions and financing short term loans caters for working capital. Several countries including Tanzania have long-standing problems providing finance to newer SMEs, even when established SMEs have sufficient access to finance. This weakness may become more serious in periods of structural change when higher than average rates of firm formation are likely (OCED, 2010). Also affect expansion in the business; in most cases, is done by the owner, members of the family and relatives. The Government has designing and implementing a number of policies and programmes to support the development of these small and medium enterprises like Small and Medium Enterprises Development Policy (2002), Tanzania vision 2025, Sustainable Industrial Development policy (1996-2020), institution like Small Industrial Development Organization (SIDO) but at Unguja about 65% of SMEs have access to loan from NMB. Therefore, this research assessed the effectiveness of loans provided by NMB to the development of small and medium enterprises at Unguja. II. Study Variables Access to NMB loan Loan amount Independent Variables SMEs development. Dependent Variable III. Variables Limitation Access to Loan: For SMEs, there are two external financing that are mostly important form for financing the businesses. The first is the equity financing which is provided in form of venture capital and available for new small businesses (Deakin, 2008). However, due to lack of equity financing, the small businesses go after debt financing that is mostly provided by the banks and non-banking institutions. Indeed, access of debt financing is 1 very limited especially for SMEs due to the requirement for the provision of debt (Deakin, 2008). Loan amount: According to Kagan (2021) A maximum loan amount, or loan limit, describes the total amount of money that an applicant’s is authorized to borrow. Maximum loan amount is used for standard loans, credit cards, and line of credit accounts SMEs development: SMEs all over the world are known to play a major role in social and economy development. This is apparently the case of Tanzania where SMEs contribute significantly to employment creation, income generation and stimulation of growth in both urban and rural areas. Two variables to calculate a Spearman’s correlation coefficient. IV. Loan amount and Access to Loan V. Variable Measurement Loan amount is measured by; Expansion of business and increase working capital Access to Loan measured by: loan conditions and loan sufficient Spearman correlation is used when researcher want to explore the strength of the relationship between two continuous variables. This gives a researcher an indication of both the direction (positive or negative) and the strength of the relationship. A positive correlation indicates that as one variable increases, so does the other. A negative correlation indicates that as one variable increases, the other decreases. A perfect correlation of 1 or –1 indicates that the value of one variable can be determined exactly by knowing the value on the other variable. On the other hand, a correlation of 0 indicates no relationship between the two variables. Specifically, in this study a researcher was interested to know the strength of the relationship between Loan amount and access to loan (as independent variables) and SMEs Development (as dependent variable) 2 Thus, to determine/ interpret the value of correlation different authors suggest different interpretations; however, Cohen (1988, pp. 79–81) suggests the following guidelines Interpretation of Spearman’s correlation coefficient (r) Values of Pearson’s correlation coefficient r = 0.10 to 0.29 r = 0.30 to 0.49 r = 0.50 to 1.0 Source: Cohen (1988, pg 79 – 82) Interpretation Small correlation Medium correlation Large correlation The results of the Spearman correlation coefficient (r) as seen in the table below show that Loan amount and access to loan correlate positively with the dependant variable SMEs Development Correlations Loan amount Spearman's rho Loan amount Correlation Coefficient Sig. (2-tailed) N Access to loan Correlation Coefficient Sig. (2-tailed) N SMEs Correlation Development Coefficient Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). Access to loan SMEs Development 1.000 .637** .584** . 395 .000 395 .000 395 .637** 1.000 .585** .000 395 . 395 .000 395 .584** .585** 1.000 .000 395 .000 395 . 395 In looking at the strength of the relationship, it is clearly seen that ALL independent variables (loan amount and access to loan) have greater correlation with dependent variable (SMEs Development) because their correlation coefficients are above 0.50 VI. Conclusion and Recommendation Analyzed data was about impact of bank loan on the development of small and medium enterprises (SMEs) case study NMB. From the study revealed that, access to loan and loans 3 amount provided by NMB to SMEs is sufficient to SMEs fulfill all need of their business operation and lead high performance of their business. The study recommended that The NMB PLC should develop effective small business training programs and give proper consultation to their clients so that can be much existed on the rules of doing business like recording keeping, separate business from owner, good business management, tolerance and persistence to any business changes. 4