Water Security in Haiti: Do National Stakeholders Consider Water and Sanitation as a Priority in Development?

Jean Fritz Saint Preux — 2024-09-19

National Stakeholders play an important role in ameliorating social issues within a given community. Their perception may determine whether a specific issue will be addressed. Therefore, this study aimed to assess the consideration that national stakeholders have towards water insecurity in Haiti. The data was drawn from a survey carried out by the World Bank Group in Haiti in 2018. This survey was part of their Country Survey Opinion Program (WBG 2018). They measure and trace stakeholders, partners, and clients’ perceptions of countries where the World Bank supports development activities. A sample of 134 statistical units were selected across the country. Descriptive and inferential statistics were used to analyze data. Findings show little statistical relationship between the examined determinants of the dependent variables (Water and Sanitation Priority, Health Priority, Poverty Reduction Priority, and Government Coordination). Most respondents did not consider water and sanitation, health, and poverty issues as priorities in development. Also, most respondents considered the lack of government coordination as an impediment to development. The stakeholder theory supports the fact that Haitian National Stakeholders should consider, intervene in, and implement policy to address these issues in Haiti. Although donors continue to operate and government ministries continue to function, security issues constrain policy implementation and the improvement of drinking water in Haiti.

Comparison of Non-Linear Height-Diameter Models of Tectona grandis L.f. in a Rainforest Site in Southern Nigeria

Y. I. Egonmwan — 2024-09-19

This study was carried out to select the best model for predicting height for effective management of Tectona grandis stand in the study area. Five 3-parameters well-established non-linear models were used to compare their suitability in predicting height, evaluate and select the best H-D model based on test statistics criteria such as R², RMSE AIC, and BIC. Models with the lowest RMSE, AIC and BIC and highest R² values are judged the best. One hundred (100) trees were enumerated and were subjected for analysis in the study. A plot size of 0.04ha (20m x 20m) with an area of 0.64ha was chosen for this study and 10 sample plots were purposively selected from the study area. The result indicated that schnute model had the highest R² value of 99.9% but it also had the highest RMSE, AIC and BIC values, hence the worst candidate in predicting height in the study area. Weibull model although did not have the largest R² of 97.2% when compared to schnute, had the smallest RMSE, AIC and BIC (1.37596E-14, -832.6836 and -823.9054 respectively) and hence is the best candidate model. The Chapman-Richards, Logistic and Korf models also performed well based on the evaluation criterion. Weibull function with 3-parameters has been confirmed to provide a secure estimate of total tree height for Tectona grandis in the rainforest site of the study area of Southern Nigeria.

Discoveries in Agriculture and Food Sciences

Water Security in Haiti: Do National Stakeholders Consider Water and Sanitation as a Priority in Development?

Comparison of Non-Linear Height-Diameter Models of Tectona grandis L.f. in a Rainforest Site in Southern Nigeria