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EXAMPLE 9.1 Water Treatment Facility #3 Case The situation with the location and construction of the new WTF3 and associated transmission mains described in the chapter's introduction has reached a serious level because of recent questions posed by some city council members and citizen groups. Before going public to the city council with the analysis performed last year, the director of Allen Water Utilities has asked an engineering management consultant to review it and determine if it was an acceptable analysis and correct economic decision, then and now. The lead consultant, Joel Whiterson, took engineering economy as a part of his B.S. education and has previously worked on economic studies in the government sector, but never as the lead person. Within the first hour of checking background notes, Joel found several initial estimates (shown below) from last year for expected consequences if WTF3 were built. He realized that no viewpoint of the study was defined, and, in fact, the estimates were never classified as costs, benefits, or disbenefits. He did determine that disbenefits were considered at some point in the analysis, though the estimates for them are very sketchy. Joel defined two viewpoints: a citizen of Allen and the Allen Water Utilities budget. He wants to identify each of the estimates as a cost, benefit, or disbenefit from each viewpoint. Please help with this classification. Economic Dimension 1. Cost of water: 10% annual increase to Allen households 2. Bonds: Annual debt service at 3% per year on $540 million 3. Use of land: Payment to Parks and Recreation for shaft sites and construction areas 4. Property values: Loss in value, sales price, and property taxes 5. Water sales: Increases in sales to surrounding communities 6. M&O: Annual maintenance and operations costs 7. Peak load purchases: Savings in purchases of treated water from secondary sources Monetary Estimate Average of $29.7 million (years 1-5, steady thereafter) $16.2 million (years 1-19); $516.2 million (year 20) $300,000 (years 1-4) $4 million (years 1-5) $5 million (year 4) plus 5% per year (years 5-20) $300,000 plus 4% per year increase (years 1-20) $500,000 (years 5-20)

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INTERNATIONAL JOURNALS OF ACADEMICS & RESEARCH IJARKE Business & Management Journal standard deviation of 1.564. The statement that collection policy monitors account receivable to know had a mean score of 3.68 and standard deviation of 1.463. The statement that circumstances for offering credit to clients had a mean score of 3.93 and a standard deviation of 1.078. 8.1.3 Account Receivables The third objective was to determine the effect of account receivables on financial performance of transport firms in Mombasa County. The statement in agreement that available debt collection policy has assisted towards effective debt management had a mean score of 4.21 and a standard deviation of 1.210. The statement that transport firms sets and follows debt collection policy and terms had a mean score 3.26 and a standard deviation of 1.435. The statement that the organization implements these terms and policies in case of failure to pay the loan had a mean score 3.60 and standard deviation of 1.374. The statement that favourable credit terms stimulate sales had a mean score of 3.59 and a standard deviation of 1.232. Table 5 Account Receivables Available debt collection policy has assisted towards effective debt management Transport firms sets and follows debt collection policy and terms The organization implements these terms and policies in case of failure to pay the loan Favourable credit terms stimulates sales Valid N (listwise) 8.1.4 Credit Terms ISSN: 2617-4138 www.ijarke.com DOI: 10.32898/ibmj.01/1.4article07 Table 6 Credit Terms Business growth has been as a result of proper financial management practices undertaken by the firm. There had been an improvement in debtor's collection by using credit collection policies The business growth depends on sales returns in terms of price of the product, sales in the period, number of customers in a period and credit collection policy in place Solvency-Long-term debt against your assets and equity Valid N (listwise) N 103 92 IJARKE PEER REVIEWED JOURNAL 103 103 103 103 N 103 103 103 103 103 Mean The fourth objective of the study was to examine influence of credit terms on financial performance of transport firms in Mombasa County. The statement that available debt collection policy has assisted towards effective debt management had a mean score of 4.21 and a standard deviation of 1.210. The statement that transport terms of sales had a mean score of 3.76 and a standard deviation of 1.302. The statement that credit collection period had a mean score of 3.57 and a standard deviation of 1.684. The statement those terms of extension of credit facilities as shown in Table 6 N 103 4.21 3.26 103 103 3.60 3.59 Mean Available debt collection policy has assisted towards effective debt management Transport terms of sales Credit collection period Terms of extension of credit facilities Valid N (listwise) 8.1.5 Financial Performance The statement that business growth has been as a result of proper financial management practices undertaken by the firm had a mean score of 3.68 and a standard deviation of 1.463. Table 7 Financial Performance Vol. 1, Issue 4 4.21 3.76 3.57 3.51 103 3.48 103 3.13 Std. Deviation 1.210 1.435 1.374 1.232 3.58 Std. Deviation Std. Mean Deviation 3.68 1.463 1.210 1.302 1.684 1.552 1.259 1.525 1.492 May-Jul. 2019

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