Assessing Client Capability: An Analysis of National Project Execution Capacity Based on Illegal Wildlife Trade
DOI: 10.23977/erej.2024.080203 | Downloads: 11 | Views: 193
Author(s)
Peiqing Han 1, Huijie Zhang 2, Ruiyang Song 3
Affiliation(s)
1 School of Emergency Management and Safety Engineering, North China University of Science and Technology, Tangshan, 063210, China
2 College of Science, North China University of Science and Technology, Tangshan, 063210, China
3 College of Artificial Intelligence, North China University of Science and Technology, Tangshan, 063210, China
Corresponding Author
Peiqing HanABSTRACT
This study aims to assess the implementation capacity of countries interested in participating in projects, using illegal wildlife trade as a case study. It comprehensively analyzes the potential and feasibility of countries in executing projects, from the selection of client countries to the establishment and evaluation of project implementation models. By employing methods such as Analytic Hierarchy Process, Entropy Weight Method, weight assignment based on standard deviation and maximization of average difference, a multidimensional indicator system is established. The weights for each indicator are calculated and combined to obtain the execution capacity scores for each country. The United States is selected as the client for this project. Furthermore, by utilizing grey forecasting models, ARIMA forecasting models, and combination forecasting models, changes before and after project implementation in the United States are analyzed to demonstrate its positive impact on economic development and ecological stability.
KEYWORDS
Customer capability, Analytic Hierarchy Process (AHP), Entropy Weight Method, ARIMA model, Improved Grey Prediction ModelCITE THIS PAPER
Peiqing Han, Huijie Zhang, Ruiyang Song, Assessing Client Capability: An Analysis of National Project Execution Capacity Based on Illegal Wildlife Trade. Environment, Resource and Ecology Journal (2024) Vol. 8: 17-24. DOI: http://dx.doi.org/10.23977/erej.2024.080203.
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