| Literature DB >> 31828411 |
Wutyi Naing1, Hidenori Harada2, Shigeo Fujii3, Chaw Su Su Hmwe4.
Abstract
Globally, 2.8 billion people use on-site sanitation facilities, which need regular emptying of accumulated fecal sludge. Illegal dumping from informal emptying businesses, one of the major challenges in environmental management, is widely observed. Considering Mandalay, Myanmar, this study aimed to determine why informal emptying businesses are selected and estimate the lost revenue for a formal emptying service provider (FP) due to the informal businesses. We interviewed 400 households on their recognition and experiences regarding emptying services and willingness-to-pay for improved service. Revenue loss was estimated by comparing the present and theoretical maximum revenues. Results showed that 91.0% of households recognized FP only. Among 134 emptying-experienced households, 32.8%, 59.7%, and 4.5% chose FP with legal contact, FP with illegal contact, and informal service providers, respectively. The service fees from FP with illegal contact did not become revenue for FP; this was a major informal emptying business in the city. Differently from previous studies, the major illegal dumping was done by FP in this area. A great financial loss was estimated that FP lost 76.5% of the theoretical maximum revenue due to informal business. Logistic regression analysis indicated people's intention to shorten the waiting time through illegal contact, even by paying a higher fee. As emptying services are typically required immediately after fecal sludge is over-accumulated, shorter waiting times and faster contact methods were the reasons why the informal business was selected. Less bureaucratic and more customer friendly system could reduce revenue loss, charge more, and increase profits.Entities:
Keywords: Fecal sludge management; Influential factor; Informal emptying business; Revenue loss; Willingness-to-pay
Mesh:
Substances:
Year: 2019 PMID: 31828411 PMCID: PMC6960235 DOI: 10.1007/s00267-019-01228-w
Source DB: PubMed Journal: Environ Manage ISSN: 0364-152X Impact factor: 3.266
Recognition of emptying service provider types by households
| Recognized type of emptying service provider | Number of households |
|---|---|
| FP only | 364 (91.0%) |
| IPs-Me only | 1 (0.3%) |
| FP and IPs-Me | 3 (0.7%) |
| FP and IPs-Ma | 2 (0.5%) |
| No recognition | 30 (7.5%) |
n = 400. FP, IPs-Me, and IPs-Ma, respectively indicate the formal service provider, informal service provider offering mechanical emptying by using unofficial small trucks, and informal service providers offering manual emptying services
Different primary contact methods to formal service providers
| Knowledge of the regulation | Total | ||
|---|---|---|---|
| With knowledge no. | Without knowledge no. | ||
| Legal contact (office visit | 38 | 6 | 44 (35.5%) |
| Illegal contact | 34 | 46 | 80 (64.5%) |
| Phone to the office | 13 | 13 | 26 (21.0%) |
| Phone to a driver | 15 | 23 | 38 (30.6%) |
| Asking a friend | 6 | 10 | 16 (12.9%) |
| Total | 72 (58%) | 55 (42%) | 124 (100%) |
Office visit is the only legal contact method, and other contact methods are illegal in the study area. Samples constitute experienced households who chose the formal service provider (FP)
Fig. 1Choice of fecal sludge emptying services. Data obtained from emptying-experienced household (n = 134). The number indicate household numbers and their proportions
Logistic regression table for factors influencing the choice of contact method
| Coefficients | Estimate | Std. Error | OR (95% CI) | ||
|---|---|---|---|---|---|
| (Intercept) | 4.63 | 1.99 | 2.32 | 0.020* | – |
| Income level (1–5) | −0.01 | 0.19 | −0.04 | 0.968 | 1.10 (0.82, 1.48) |
| Toilet type (0, 1) | 0.43 | 0.80 | 0.53 | 0.595 | 1.58 (0.50, 5.02) |
| Education level (1–5) | 0.04 | 2.64 | 0.16 | 0.870 | 0.99 (0.69, 1.42) |
| Waiting time (day) | 0.15 | 0.08 | 1.97 | 0.048* | 1.27 (1.11, 1.46) |
| Paid service fee (USD) | −0.20 | 0.05 | −3.62 | <0.001*** | 0.82 (0.73, 0.89) |
Samples analyzed are households that availed emptying services offered by the formal service provider (FP) within the last 3 years (n = 103). Choices of contact methods were classified as 1: legal (visit office) and 0: illegal. Monthly income level was classified as 1: <200 USD, 2: 200–300 USD, 3: 300–400 USD, 4: 400–500 USD, and 5: >500 USD. Education level was classified into 1: less than primary school, 2: primary school, 3: secondary, 4: diploma, 5: graduate, and 6: more than one degree and other. Toilet type was classified into 1: septic tank and 0: others (cesspool, pit latrine, no facility, direct connection to water body, and lined pit latrine)
*p < 0.05; ***p < 0.001
Fig. 2Waiting time and service fee for the formal emptying service provider based on different primary contact methods. a Waiting time in different contact methods (n = 103). b Service fee associated with different contact methods (n = 103). Samples of analyzed households opting for emptying services provided by the formal service provider (FP) within the last 3 years. The statistical difference was tested using the Kruskal–Wallis test followed by Dunn’s test of multiple comparisons. An office visit is the only legal contact method, and the other methods are illegal in the study area. Boxplots indicate median and interquartile ranges (IQRs) with whiskers extending up to 1.5 × IQR from the median
Fig. 3Comparison of median of willingness-to-pay index with the waiting time reduced from 3 weeks in each income level (n = 400). Willingness-to-pay index for each income level was significantly different according to the change in waiting time (p < 0.001; Friedman test), and among income levels (p < 0.001; Kruskal–Wallis test). Results of pairwise Wilcoxon rank sum tests are summarized in Tables A.3 and A.4 in the Supplementary Document.)
Fig. 4Willingness-to-pay index with respect to additional fees for requesting emptying services through telephonic contact rather than visiting office (n = 400). Statistical difference of each pair was tested via pairwise Wilcoxon rank sum tests and the results are summarized in Tables A.5 in the Supplementary Document. Boxplots indicate the median and IQRs with whiskers extend up to 1.5 × IQR (IQR from the median)